Multilingual text induced spelling correction

NARCIS (Netherlands)

Reynaert, M.W.C.

2004-01-01

We present TISC, a multilingual, language-independent and context-sensitive spelling checking and correction system designed to facilitate the automatic removal of non-word spelling errors in large corpora. Its lexicon is derived from raw text corpora, without supervision, and contains word unigrams

Working with corpora in the translation classroom

Directory of Open Access Journals (Sweden)

Ralph Krüger

2012-10-01

Full Text Available This article sets out to illustrate possible applications of electronic corpora in the translation classroom. Starting with a survey of corpus use within corpus-based translation studies, the didactic value of corpora in the translation classroom and their epistemic value in translation teaching and practice will be elaborated. A typology of translation practice-oriented corpora will be presented, and the use of corpora in translation will be positioned within two general models of translation competence. Special consideration will then be given to the design and application of so-called Do-it-yourself (DIY corpora, which are compiled ad hoc with the aim of completing a specific translation task. In this context, possible sources for retrieving corpus texts will be presented and evaluated and it will be argued that, owing to time and availability constraints in real-life translation, the Internet should be used as a major source of corpus data. After a brief discussion of possible Internet research techniques for targeted and quality-focused corpus compilation, the possible use of the Internet itself as a macro-corpus will be elaborated. The article concludes with a brief presentation of corpus use in translation teaching in the MA in Specialised Translation Programme offered at Cologne University of Applied Sciences, Germany.

Uso de corpora na formação de tradutores Using corpora in translator training

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Antonio P. Berber Sardinha

2003-01-01

Full Text Available O presente trabalho aborda a questão do uso de corpora na formação de tradutores, enfocando mais especificamente a questão da conscientização. O trabalho apresenta uma discussão sobre o papel de corpora na tradução, sua aplicabilidade na formação profissional, e sua importância para o melhor conhecimento da constituição da linguagem. São oferecidos dois exemplos de análises, detalhadas a fim de serem aplicáveis em contextos em que haja poucos recursos de infraestrutura. As análises centram-se em pesquisas sobre as escolhas lingüísticas de um texto jornalístico traduzido para o português, e da versão brasileira de um slogan de uma campanha publicitária americana. É sugerido que essas atividades possam ser desenvolvidas com alunos de tradução, de tal modo que elas forneçam condições para que os alunos, ao explorarem corpora eletrônicos, possam se conscientizar da complexidade e da especificidade das escolhas lingüísticas envolvidas no processo tradutório.This paper tackles the issue of using corpora in translator training, focussing more specifically on the question of awareness raising. The paper presents a discussion on the role of corpora in translation, their applicability in professional development, and their importance in leading to a better understanding of how language is constituted. Two example analyses are offered and detailed, so that they are applicable to contexts in which computational resources are scarce. The analyses center around the linguistic choices in a translated newspaper text and in the Brazilian version of a slogan from an American advertising campaign. It is suggested that these activities may be carried out with translation students, in such a way that they enable students, while they explore electronic corpora, to become aware of both the complexity and the specificity of the linguistic choices involved in the process of translation.

Corpora and historical linguistics Corpora e linguística histórica

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Merja Kytö

2011-01-01

Full Text Available The present article aims to survey and assess the current state of electronic historical corpora and corpus methodology, and attempts to look into possible future developments. It highlights the fact that within the wide spectrum of corpus linguistic methodology, historical corpus linguistics has emerged as a vibrant field that has significantly added to the appeal felt for the study of language history and change. In fact, according to a historical linguist with more than fifty years of experience, "[w]e could even go as far as to say that without the support and new impetus provided by corpora, evidence-based historical linguistics would have been close to the end of its life-span in these days of rapid-changing life and research, increasing competition on the academic career track and the methodological attractions offered to young scholars" (RISSANEN, forthcoming. Historical corpora and other electronic resources have also made the study of language history attractive: working on them engages students in an individual and interactive way that they find appealing (CURZAN 2000, p. 81.Este artigo objetiva fazer um levantamento e avaliar o estado da arte dos corpora históricos eletrônicos e da metodologia de estudos de corpora, assim como sugerir possíveis desenvolvimentos futuros na área. Destaca-se que dentro do espectro metodológico da linguística de corpus, a linguística de corpus histórica emergiu como um campo de investigação vibrante que tem adicionado interesse ao estudo da história e da mudança linguística. De acordo com um pesquisador da área com mais de cinqüenta anos de experiência, "pode-se dizer que sem o apoio e o novo ímpeto trazidos pelos corpora, a linguística histórica baseada em evidências teria estado próxima ao fim de sua vida nesses tempos de rápidas mudanças de vida e de pesquisa, aumentando a competição na carreira acadêmica e nas atrações metodológicas oferecidas aos jovens pesquisadores

Proposed framework for the evaluation of standalone corpora processing systems: an application to Arabic corpora.

Science.gov (United States)

Al-Thubaity, Abdulmohsen; Al-Khalifa, Hend; Alqifari, Reem; Almazrua, Manal

2014-01-01

Despite the accessibility of numerous online corpora, students and researchers engaged in the fields of Natural Language Processing (NLP), corpus linguistics, and language learning and teaching may encounter situations in which they need to develop their own corpora. Several commercial and free standalone corpora processing systems are available to process such corpora. In this study, we first propose a framework for the evaluation of standalone corpora processing systems and then use it to evaluate seven freely available systems. The proposed framework considers the usability, functionality, and performance of the evaluated systems while taking into consideration their suitability for Arabic corpora. While the results show that most of the evaluated systems exhibited comparable usability scores, the scores for functionality and performance were substantially different with respect to support for the Arabic language and N-grams profile generation. The results of our evaluation will help potential users of the evaluated systems to choose the system that best meets their needs. More importantly, the results will help the developers of the evaluated systems to enhance their systems and developers of new corpora processing systems by providing them with a reference framework.

Guidelines for normalising Early Modern English corpora: Decisions and justifications

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Archer Dawn

2015-03-01

Full Text Available Corpora of Early Modern English have been collected and released for research for a number of years. With large scale digitisation activities gathering pace in the last decade, much more historical textual data is now available for research on numerous topics including historical linguistics and conceptual history. We summarise previous research which has shown that it is necessary to map historical spelling variants to modern equivalents in order to successfully apply natural language processing and corpus linguistics methods. Manual and semiautomatic methods have been devised to support this normalisation and standardisation process. We argue that it is important to develop a linguistically meaningful rationale to achieve good results from this process. In order to do so, we propose a number of guidelines for normalising corpora and show how these guidelines have been applied in the Corpus of English Dialogues.

Text Induced Spelling Correction

NARCIS (Netherlands)

Reynaert, M.W.C.

2004-01-01

We present TISC, a language-independent and context-sensitive spelling checking and correction system designed to facilitate the automatic removal of non-word spelling errors in large corpora. Its lexicon is derived from a very large corpus of raw text, without supervision, and contains word

Subdomain sensitive statistical parsing using raw corpora

NARCIS (Netherlands)

Plank, B.; Sima'an, K.

2008-01-01

Modern statistical parsers are trained on large annotated corpora (treebanks). These treebanks usually consist of sentences addressing different subdomains (e.g. sports, politics, music), which implies that the statistics gathered by current statistical parsers are mixtures of subdomains of language

Using corpora in scientific and technical translation training: resources to identify conventionality and promote creativity

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Clara Inés López-Rodríguez

2016-06-01

Full Text Available Since the first Corpus Use and Learning to Translate (CULT Conference in Bertinoro (Italy in 1997, the usefulness of corpora for translators and trainee translators has been highlighted. From an initial approach where translators compiled ad hoc corpora in their hard drive for a subsequent study with lexical analysis software, there emerged a new trend towards the use of the Internet as corpus. In this second approach, the Web is perceived as a huge corpus which is accessed by means of online tools which produce monolingual wordlists and concordances from texts available from the Internet or pre-existing corpora, or by means of bilingual or multilingual concordancers displaying aligned texts from international institutions' parallel corpora. Bilingual concordancers and translation memories are widely used by translators and trainee translators because of the immediate translation solutions they offer, but these tools can restrain creativity by offering conventional solutions and eliminating layout and multimodal elements in texts. The aim of this article is to describe the exploitation of quality corpora in a scientific and technical translation course, focusing on texts on health translated from English into Spanish, and on terminological variation as a reflection of creativity in language.

Using corpora in scientific and technical translation training: resources to identify conventionality and promote creativity

Directory of Open Access Journals (Sweden)

Clara Inés López-Rodríguez

2016-04-01

Full Text Available http://dx.doi.org/10.5007/2175-7968.2016v36nesp1p88 Since the first Corpus Use and Learning to Translate (CULT Conference in Bertinoro (Italy in 1997, the usefulness of corpora for translators and trainee translators has been highlighted. From an initial approach where translators compiled ad hoc corpora in their hard drive for a subsequent study with lexical analysis software, there emerged a new trend towards the use of the Internet as corpus. In this second approach, the Web is perceived as a huge corpus which is accessed by means of online tools which produce monolingual wordlists and concordances from texts available from the Internet or pre-existing corpora, or by means of bilingual or multilingual concordancers displaying aligned texts from international institutions' parallel corpora. Bilingual concordancers and translation memories are widely used by translators and trainee translators because of the immediate translation solutions they offer, but these tools can restrain creativity by offering conventional solutions and eliminating layout and multimodal elements in texts. The aim of this article is to describe the exploitation of quality corpora in a scientific and technical translation course, focusing on texts on health translated from English into Spanish, and on terminological variation as a reflection of creativity in language.

The use of corpora in English writing classes

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Paula Pinto Paiva

2013-01-01

Full Text Available This study aims at discussing aspects related to learner corpora and linguistic features found in texts written by English learners based on the use of collocations in text production. For this research, we analyzed collocations with the verb “to have” and with the nouns “prejudice” and “regret”.

Discovery learning in the language-for-translation classroom: corpora as learning aids

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Silvia Bernardini

2016-06-01

Full Text Available This contribution reviews the idea of discovery learning with corpora, proposed in the 1990s, evaluating its potential and its implications with reference to the education of translators today. The rationale behind this approach to data-driven learning, combining project-based and form-focused instruction within a socio-constructivistically inspired environment, is discussed. Examples are also provided of authentic, open-ended learning experiences, thanks to which students of translation share responsibility over the development of corpora and their consultation, and teachers can abandon the challenging role of omniscient knowledge providers and wear the more honest hat of "learning experts". Adding to the more straightforward uses of corpora in courses that aim to develop thematic, technological and information mining competences – i.e., in which training is offered in the use of corpora as professional aids –, attention is focused on foreign language teaching for translators and on corpora as learning aids, highlighting their potential for the development of the three other European Master's in Translation (EMT competences (translation service provision, language and intercultural ones.

Semantics, contrastive linguistics and parallel corpora

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Violetta Koseska

2014-09-01

Full Text Available Semantics, contrastive linguistics and parallel corpora In view of the ambiguity of the term “semantics”, the author shows the differences between the traditional lexical semantics and the contemporary semantics in the light of various semantic schools. She examines semantics differently in connection with contrastive studies where the description must necessary go from the meaning towards the linguistic form, whereas in traditional contrastive studies the description proceeded from the form towards the meaning. This requirement regarding theoretical contrastive studies necessitates construction of a semantic interlanguage, rather than only singling out universal semantic categories expressed with various language means. Such studies can be strongly supported by parallel corpora. However, in order to make them useful for linguists in manual and computer translations, as well as in the development of dictionaries, including online ones, we need not only formal, often automatic, annotation of texts, but also semantic annotation - which is unfortunately manual. In the article we focus on semantic annotation concerning time, aspect and quantification of names and predicates in the whole semantic structure of the sentence on the example of the “Polish-Bulgarian-Russian parallel corpus”.

LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual

OpenAIRE

Diab, Mona; Habash, Nizar; Rambow, Owen; Roth, Ryan

2013-01-01

The Linguistic Data Consortium (LDC) has developed hundreds of data corpora for natural language processing (NLP) research. Among these are a number of annotated treebank corpora for Arabic. Typically, these corpora consist of a single collection of annotated documents. NLP research, however, usually requires multiple data sets for the purposes of training models, developing techniques, and final evaluation. Therefore it becomes necessary to divide the corpora used into the required data sets...

06491 Summary -- Digital Historical Corpora- Architecture, Annotation, and Retrieval

OpenAIRE

Burnard, Lou; Dobreva, Milena; Fuhr, Norbert; Lüdeling, Anke

2007-01-01

The seminar "Digital Historical Corpora" brought together scholars from (historical) linguistics, (historical) philology, computational linguistics and computer science who work with collections of historical texts. The issues that were discussed include digitization, corpus design, corpus architecture, annotation, search, and retrieval.

How Can We Use Corpus Wordlists for Language Learning? Interfaces between Computer Corpora and Expert Intervention

Science.gov (United States)

Chen, Yu-Hua; Bruncak, Radovan

2015-01-01

With the advances in technology, wordlists retrieved from computer corpora have become increasingly popular in recent years. The lexical items in those wordlists are usually selected, according to a set of robust frequency and dispersion criteria, from large corpora of authentic and naturally occurring language. Corpus wordlists are of great value…

Collocation lists as instruments for metaphor detection in corpora Listas de colocações como instrumentos para detecção de metáforas em corpora

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Tony Berber Sardinha

2006-01-01

Full Text Available This paper reports a study on the use of collocation lists as instruments for detecting metaphors in corpora. A collocation list contains the collocations for selected words in corpora together with concordances for those words. As corpora become more available to metaphor researchers, there is a growing need for developing ways to gain access to as much data as the corpus can offer. The research described here has hopefully come some way toward meeting the challenges of developing tools for metaphor corpus research. Results suggest that the collocation lists seem to be a good pre-processing instrument for corpus research of metaphor, despite accuracy problems.Este trabalho apresenta uma pesquisa sobre o uso de listas de colocações como instrumentos para detecção de metáforas em corpora. Uma lista de colocação contém as colocações de palavras selecionadas de corpora juntamente com as concordâncias dessas palavras. Na medida que os corpora se tornam mais acessíveis aos pesquisadores de metáfora, começa a surgir uma necessidade de desenvolver maneiras de acessar a maior quantidade possível de dados que um corpus oferece. A pesquisa descrita aqui tentou enfrentar esse desafio, criando e testando ferramentas para pesquisa de metáfora baseada em corpus. Os resultados sugerem que as listas de colocações podem ser um instrumento eficaz de pré-processamento de corpus com vistas à análise humana de metáforas, a despeito de alguns problemas de precisão.

Developing intonation corpora for isiXhosa and isiZulu

CSIR Research Space (South Africa)

Govender, N

2005-11-01

Full Text Available also show how those corpora can be used without further interpretation to gain insight into matters such as overall pitch contours and gender differences, and discuss the additional steps that will be required to create truly generative models from...

From Annotated Multimodal Corpora to Simulated Human-Like Behaviors

DEFF Research Database (Denmark)

Rehm, Matthias; André, Elisabeth

2008-01-01

Multimodal corpora prove useful at different stages of the development process of embodied conversational agents. Insights into human-human communicative behaviors can be drawn from such corpora. Rules for planning and generating such behavior in agents can be derived from this information....... And even the evaluation of human-agent interactions can rely on corpus data from human-human communication. In this paper, we exemplify how corpora can be exploited at the different development steps, starting with the question of how corpora are annotated and on what level of granularity. The corpus data...

Text Mining of Supreme Administrative Court Jurisdictions

OpenAIRE

Feinerer, Ingo; Hornik, Kurt

2007-01-01

Within the last decade text mining, i.e., extracting sensitive information from text corpora, has become a major factor in business intelligence. The automated textual analysis of law corpora is highly valuable because of its impact on a company's legal options and the raw amount of available jurisdiction. The study of supreme court jurisdiction and international law corpora is equally important due to its effects on business sectors. In this paper we use text mining methods to investigate Au...

Menzerath-Altmann law for distinct word distribution analysis in a large text

Science.gov (United States)

Eroglu, Sertac

2013-06-01

The empirical law uncovered by Menzerath and formulated by Altmann, known as the Menzerath-Altmann law (henceforth the MA law), reveals the statistical distribution behavior of human language in various organizational levels. Building on previous studies relating organizational regularities in a language, we propose that the distribution of distinct (or different) words in a large text can effectively be described by the MA law. The validity of the proposition is demonstrated by examining two text corpora written in different languages not belonging to the same language family (English and Turkish). The results show not only that distinct word distribution behavior can accurately be predicted by the MA law, but that this result appears to be language-independent. This result is important not only for quantitative linguistic studies, but also may have significance for other naturally occurring organizations that display analogous organizational behavior. We also deliberately demonstrate that the MA law is a special case of the probability function of the generalized gamma distribution.

Gonadotropin binding sites in human ovarian follicles and corpora lutea during the menstrual cycle

Energy Technology Data Exchange (ETDEWEB)

Shima, K.; Kitayama, S.; Nakano, R.

1987-05-01

Gonadotropin binding sites were localized by autoradiography after incubation of human ovarian sections with /sup 125/I-labeled gonadotropins. The binding sites for /sup 125/I-labeled human follicle-stimulating hormone (/sup 125/I-hFSH) were identified in the granulosa cells and in the newly formed corpora lutea. The /sup 125/I-labeled human luteinizing hormone (/sup 125/I-hLH) binding to the thecal cells increased during follicular maturation, and a dramatic increase was preferentially observed in the granulosa cells of the large preovulatory follicle. In the corpora lutea, the binding of /sup 125/I-hLH increased from the early luteal phase and decreased toward the late luteal phase. The changes in 3 beta-hydroxysteroid dehydrogenase activity in the corpora lutea corresponded to the /sup 125/I-hLH binding. Thus, the changes in gonadotropin binding sites in the follicles and corpora lutea during the menstrual cycle may help in some important way to regulate human ovarian function.

Use of English Corpora as a Primary Resource to Teach English to the Bengali Learners

Science.gov (United States)

Dash, Niladri Sekhar

2011-01-01

In this paper we argue in favour of teaching English as a second language to the Bengali learners with direct utilisation of English corpora. The proposed strategy is meant to be assisted with computer and is based on data, information, and examples retrieved from the present-day English corpora developed with various text samples composed by…

Corpora and corpus technology for translation purposes in professional and academic environments. Major achievements and new perspectives

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Cécile Frérot

2016-06-01

Full Text Available The “use” of corpora and concordancers in translation teaching has grown increasingly attractive since the mid1990s’ with an abundant literature advocating their use and promoting their benefits in the translation classroom. In translator training, efforts are being made to incorporate the use of corpora and concordancers in masters’ programmes and to offer specific modules on corpora for translation as the use of translation memory (TM systems within Computer-Aided Translation (CAT courses still dominates. In the translation profession, while TM systems are part of the everyday working environment, the same cannot be said of corpora and concordancers even though the most recent surveys show that professional translators would like to learn more about the potential of corpora for translation. Overall, the “usefulness” of corpora and corpus technology at the different stages of the translation process remains poorly documented in translation but a growing number of empirical studies has started to show concern as it has now become of paramount importance to assess the extent to which corpora are of added value for translation quality in both professional and academic environments.

Using Monolingual and Bilingual Corpora in Lexicography

Science.gov (United States)

Miangah, Tayebeh Mosavi

2009-01-01

Constructing and exploiting different types of corpora are among computer applications exposed to the researchers in different branches of science including lexicography. In lexicography, different types of corpora may be of great help in finding the most appropriate uses of words and expressions by referring to numerous examples and citations.…

Working with Corpora in the Translation Classroom

Science.gov (United States)

Krüger, Ralph

2012-01-01

This article sets out to illustrate possible applications of electronic corpora in the translation classroom. Starting with a survey of corpus use within corpus-based translation studies, the didactic value of corpora in the translation classroom and their epistemic value in translation teaching and practice will be elaborated. A typology of…

FacetGist: Collective Extraction of Document Facets in Large Technical Corpora.

Science.gov (United States)

Siddiqui, Tarique; Ren, Xiang; Parameswaran, Aditya; Han, Jiawei

2016-10-01

Given the large volume of technical documents available, it is crucial to automatically organize and categorize these documents to be able to understand and extract value from them. Towards this end, we introduce a new research problem called Facet Extraction. Given a collection of technical documents, the goal of Facet Extraction is to automatically label each document with a set of concepts for the key facets ( e.g. , application, technique, evaluation metrics, and dataset) that people may be interested in. Facet Extraction has numerous applications, including document summarization, literature search, patent search and business intelligence. The major challenge in performing Facet Extraction arises from multiple sources: concept extraction, concept to facet matching, and facet disambiguation. To tackle these challenges, we develop FacetGist, a framework for facet extraction. Facet Extraction involves constructing a graph-based heterogeneous network to capture information available across multiple local sentence-level features, as well as global context features. We then formulate a joint optimization problem, and propose an efficient algorithm for graph-based label propagation to estimate the facet of each concept mention. Experimental results on technical corpora from two domains demonstrate that Facet Extraction can lead to an improvement of over 25% in both precision and recall over competing schemes.

Text mixing shapes the anatomy of rank-frequency distributions

Science.gov (United States)

Williams, Jake Ryland; Bagrow, James P.; Danforth, Christopher M.; Dodds, Peter Sheridan

2015-05-01

Natural languages are full of rules and exceptions. One of the most famous quantitative rules is Zipf's law, which states that the frequency of occurrence of a word is approximately inversely proportional to its rank. Though this "law" of ranks has been found to hold across disparate texts and forms of data, analyses of increasingly large corpora since the late 1990s have revealed the existence of two scaling regimes. These regimes have thus far been explained by a hypothesis suggesting a separability of languages into core and noncore lexica. Here we present and defend an alternative hypothesis that the two scaling regimes result from the act of aggregating texts. We observe that text mixing leads to an effective decay of word introduction, which we show provides accurate predictions of the location and severity of breaks in scaling. Upon examining large corpora from 10 languages in the Project Gutenberg eBooks collection, we find emphatic empirical support for the universality of our claim.

A Linguistic Inquiry and Word Count Analysis of the Adult Attachment Interview in Two Large Corpora.

Science.gov (United States)

Waters, Theodore E A; Steele, Ryan D; Roisman, Glenn I; Haydon, Katherine C; Booth-LaForce, Cathryn

2016-01-01

An emerging literature suggests that variation in Adult Attachment Interview (AAI; George, Kaplan, & Main, 1985) states of mind about childhood experiences with primary caregivers is reflected in specific linguistic features captured by the Linguistic Inquiry Word Count automated text analysis program (LIWC; Pennebaker, Booth, & Francis, 2007). The current report addressed limitations of prior studies in this literature by using two large AAI corpora ( N s = 826 and 857) and a broader range of linguistic variables, as well as examining associations of LIWC-derived AAI dimensions with key developmental antecedents. First, regression analyses revealed that dismissing states of mind were associated with transcripts that were more truncated and deemphasized discussion of the attachment relationship whereas preoccupied states of mind were associated with longer, more conflicted, and angry narratives. Second, in aggregate, LIWC variables accounted for over a third of the variation in AAI dismissing and preoccupied states of mind, with regression weights cross-validating across samples. Third, LIWC-derived dismissing and preoccupied state of mind dimensions were associated with direct observations of maternal and paternal sensitivity as well as infant attachment security in childhood, replicating the pattern of results reported in Haydon, Roisman, Owen, Booth-LaForce, and Cox (2014) using coder-derived dismissing and preoccupation scores in the same sample.

Electronic Corpora as Translation Tools

DEFF Research Database (Denmark)

Laursen, Anne Lise; Mousten, Birthe; Jensen, Vigdis

2012-01-01

translator who has to get a cross-linguistic overview of a new area or a new line of business. Relevant internet texts can be compiled ‘on the fly’, but internet data needs to be sorted and analyzed for rational use. Today, such sorting and analysis can be made by a low-tech, analytical software tool....... This article demonstrates how strategic steps of compiling and retrieving linguistic data by means of specific search strategies can be used to make electronic corpora an efficient tool in translators’ daily work with fields that involve new terminology, but where the skills requested to work correspond...

A tm Plug-In for Distributed Text Mining in R

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Stefan Theussl

2012-11-01

Full Text Available R has gained explicit text mining support with the tm package enabling statisticians to answer many interesting research questions via statistical analysis or modeling of (text corpora. However, we typically face two challenges when analyzing large corpora: (1 the amount of data to be processed in a single machine is usually limited by the available main memory (i.e., RAM, and (2 the more data to be analyzed the higher the need for efficient procedures for calculating valuable results. Fortunately, adequate programming models like MapReduce facilitate parallelization of text mining tasks and allow for processing data sets beyond what would fit into memory by using a distributed file system possibly spanning over several machines, e.g., in a cluster of workstations. In this paper we present a plug-in package to tm called tm.plugin.dc implementing a distributed corpus class which can take advantage of the Hadoop MapReduce library for large scale text mining tasks. We show on the basis of an application in culturomics that we can efficiently handle data sets of significant size.

Combining Language Corpora with Experimental and Computational Approaches for Language Acquisition Research

Science.gov (United States)

Monaghan, Padraic; Rowland, Caroline F.

2017-01-01

Historically, first language acquisition research was a painstaking process of observation, requiring the laborious hand coding of children's linguistic productions, followed by the generation of abstract theoretical proposals for how the developmental process unfolds. Recently, the ability to collect large-scale corpora of children's language…

Corpora and Language Assessment: The State of the Art

Science.gov (United States)

Park, Kwanghyun

2014-01-01

This article outlines the current state of and recent developments in the use of corpora for language assessment and considers future directions with a special focus on computational methodology. Because corpora began to make inroads into language assessment in the 1990s, test developers have increasingly used them as a reference resource to…

Linguistic Corpora and Lexicography.

Science.gov (United States)

Meijs, Willem

1996-01-01

Overviews the development of corpus linguistics, reviews the use of corpora in modern lexicography, and presents central issues in ongoing work aimed at broadening the scope of lexicographical use of corpus data. Focuses on how the field has developed in relation to the production of new monolingual English dictionaries by major British…

Regulation of the corpora allata in male larvae of the cockroach Diploptera punctata

International Nuclear Information System (INIS)

Paulson, C.R.

1986-01-01

The regulation of corpora allata was studied in final instar males of Diploptera punctata. The glands were manipulated in vivo and removed to determine the effect by in vitro radiochemical assay for juvenile hormone synthesis. Corpora allata were also treated with putative regulatory factors in vitro. During the final stadium the corpora allata were inhibited both by nerves and by humoral factors. Neural inhibition was shown by an increase in juvenile hormone synthesis following denervation of the corpora allata. This operation elicited an extra larval instar. Humoral inhibition was shown by the decline in juvenile hormone synthesis of adult female corpora allata following transplantation into final instar larval hosts, and conversely the increase in juvenile hormone synthesis by larval corpora allata following implantation into adult females. Humoral inhibition was prevented by decapitation of larvae prior to the head critical period for molting and restored by implantation of a larval brain, showing that the brain is the source of this inhibition

Sparse Machine Learning Methods for Understanding Large Text Corpora

Data.gov (United States)

National Aeronautics and Space Administration — Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational...

From the Problems of Dictionaries and Multi-lingual Corpora

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Violetta Koseska-Toszewa

2015-06-01

Full Text Available From the Problems of Dictionaries and Multi-lingual Corpora The article describes the work on a number of dictionaries being developed by the Corpus Linguistics and Semantics Group of the Institute of Slavic PAS. They include “Contemporary Bulgarian-Polish Dictionary”, “Bulgarian-Polish Online Dictionary” and “Russian-Bulgarian-Polish Dictionary”. The dictionaries differ in the numbers of entries, as well as in the different degrees of their connection with parallel corpora being elaborated under the “Clarin” project. All the discussed dictionaries are similar with respect to their use of traditional, syntactic classifiers and of semantic classifiers, introduced for the first time in the existing lexicographical practice. Thanks to the “Polish-Bulgarian-Russian Corpus”, the Group has managed to verify the results of contrasting Polish and Bulgarian in the light of scope-based logical quantification. Thanks to the Russian material added to the trilingual corpus, the researchers have managed to confirm the fact that from the viewpoint of “incomplete quantification” Russian and Polish (synthetic languages behave similarly, and are opposed to the analytic Bulgarian.

Pedagogical Application of Specialized Corpora in ESP Teaching: the case of the UVaSTECorpus

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Pedro A. Fuertes-Olivera

2015-11-01

Full Text Available This article contributes to defining the concept of specialized corpora, reviews the rationale for using them instead of general corpora in teaching activities, and offers the state of art in both corpus-based and corpus-driven approaches to ESP teaching. It also explains some decisions taken regarding the compilation of the University of Valladolid Corpus of Written Scientific and Technical English and illustrates some uses of the corpus. In particular, it presents some tasks with concordances and defends that ESP students should be taught the niceties of lexical gender as it is a grammatical category with social and/or ideological implications.

Fast and Effective Approximations for Summarization and Categorization of Very Large Text Corpora

OpenAIRE

Godbehere, Andrew B.

2015-01-01

Given the overwhelming quantities of data generated every day, there is a pressing need for tools that can extract valuable and timely information. Vast reams of text data are now published daily, containing information of interest to those in social science, marketing, finance, and public policy, to name a few. Consider the case of the micro-blogging website Twitter, which in May 2013 was estimated to contain 58 million messages per day: in a single day, Twitter generates a greater volume of...

Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs

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Andrew J Reagan

2017-10-01

Full Text Available Abstract The emergence and global adoption of social media has rendered possible the real-time estimation of population-scale sentiment, an extraordinary capacity which has profound implications for our understanding of human behavior. Given the growing assortment of sentiment-measuring instruments, it is imperative to understand which aspects of sentiment dictionaries contribute to both their classification accuracy and their ability to provide richer understanding of texts. Here, we perform detailed, quantitative tests and qualitative assessments of 6 dictionary-based methods applied to 4 different corpora, and briefly examine a further 20 methods. We show that while inappropriate for sentences, dictionary-based methods are generally robust in their classification accuracy for longer texts. Most importantly they can aid understanding of texts with reliable and meaningful word shift graphs if (1 the dictionary covers a sufficiently large portion of a given text’s lexicon when weighted by word usage frequency; and (2 words are scored on a continuous scale.

Discovery learning in the language-for-translation classroom: corpora as learning aids

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Silvia Bernardini

2016-04-01

This contribution reviews the idea of discovery learning with corpora, proposed in the 1990s, evaluating its potential and its implications with reference to the education of translators today. The rationale behind this approach to data-driven learning, combining project-based and form-focused instruction within a socio-constructivistically inspired environment, is discussed. Examples are also provided of authentic, open-ended learning experiences, thanks to which students of translation share responsibility over the development of corpora and their consultation, and teachers can abandon the challenging role of omniscient knowledge providers and wear the more honest hat of "learning experts". Adding to the more straightforward uses of corpora in courses that aim to develop thematic, technological and information mining competences – i.e., in which training is offered in the use of corpora as professional aids –, attention is focused on foreign language teaching for translators and on corpora as learning aids, highlighting their potential for the development of the three other European Master's in Translation (EMT competences (translation service provision, language and intercultural ones.

Benchmarking infrastructure for mutation text mining.

Science.gov (United States)

Klein, Artjom; Riazanov, Alexandre; Hindle, Matthew M; Baker, Christopher Jo

2014-02-25

Experimental research on the automatic extraction of information about mutations from texts is greatly hindered by the lack of consensus evaluation infrastructure for the testing and benchmarking of mutation text mining systems. We propose a community-oriented annotation and benchmarking infrastructure to support development, testing, benchmarking, and comparison of mutation text mining systems. The design is based on semantic standards, where RDF is used to represent annotations, an OWL ontology provides an extensible schema for the data and SPARQL is used to compute various performance metrics, so that in many cases no programming is needed to analyze results from a text mining system. While large benchmark corpora for biological entity and relation extraction are focused mostly on genes, proteins, diseases, and species, our benchmarking infrastructure fills the gap for mutation information. The core infrastructure comprises (1) an ontology for modelling annotations, (2) SPARQL queries for computing performance metrics, and (3) a sizeable collection of manually curated documents, that can support mutation grounding and mutation impact extraction experiments. We have developed the principal infrastructure for the benchmarking of mutation text mining tasks. The use of RDF and OWL as the representation for corpora ensures extensibility. The infrastructure is suitable for out-of-the-box use in several important scenarios and is ready, in its current state, for initial community adoption.

Benchmarking infrastructure for mutation text mining

Science.gov (United States)

2014-01-01

Background Experimental research on the automatic extraction of information about mutations from texts is greatly hindered by the lack of consensus evaluation infrastructure for the testing and benchmarking of mutation text mining systems. Results We propose a community-oriented annotation and benchmarking infrastructure to support development, testing, benchmarking, and comparison of mutation text mining systems. The design is based on semantic standards, where RDF is used to represent annotations, an OWL ontology provides an extensible schema for the data and SPARQL is used to compute various performance metrics, so that in many cases no programming is needed to analyze results from a text mining system. While large benchmark corpora for biological entity and relation extraction are focused mostly on genes, proteins, diseases, and species, our benchmarking infrastructure fills the gap for mutation information. The core infrastructure comprises (1) an ontology for modelling annotations, (2) SPARQL queries for computing performance metrics, and (3) a sizeable collection of manually curated documents, that can support mutation grounding and mutation impact extraction experiments. Conclusion We have developed the principal infrastructure for the benchmarking of mutation text mining tasks. The use of RDF and OWL as the representation for corpora ensures extensibility. The infrastructure is suitable for out-of-the-box use in several important scenarios and is ready, in its current state, for initial community adoption. PMID:24568600

Entropy Rate Estimates for Natural Language—A New Extrapolation of Compressed Large-Scale Corpora

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Ryosuke Takahira

2016-10-01

Full Text Available One of the fundamental questions about human language is whether its entropy rate is positive. The entropy rate measures the average amount of information communicated per unit time. The question about the entropy of language dates back to experiments by Shannon in 1951, but in 1990 Hilberg raised doubt regarding a correct interpretation of these experiments. This article provides an in-depth empirical analysis, using 20 corpora of up to 7.8 gigabytes across six languages (English, French, Russian, Korean, Chinese, and Japanese, to conclude that the entropy rate is positive. To obtain the estimates for data length tending to infinity, we use an extrapolation function given by an ansatz. Whereas some ansatzes were proposed previously, here we use a new stretched exponential extrapolation function that has a smaller error of fit. Thus, we conclude that the entropy rates of human languages are positive but approximately 20% smaller than without extrapolation. Although the entropy rate estimates depend on the script kind, the exponent of the ansatz function turns out to be constant across different languages and governs the complexity of natural language in general. In other words, in spite of typological differences, all languages seem equally hard to learn, which partly confirms Hilberg’s hypothesis.

A Set of Annotation Interfaces for Alignment of Parallel Corpora

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Singh Anil Kumar

2014-09-01

Full Text Available Annotation interfaces for parallel corpora which fit in well with other tools can be very useful. We describe a set of annotation interfaces which fulfill this criterion. This set includes a sentence alignment interface, two different word or word group alignment interfaces and an initial version of a parallel syntactic annotation alignment interface. These tools can be used for manual alignment, or they can be used to correct automatic alignments. Manual alignment can be performed in combination with certain kinds of linguistic annotation. Most of these interfaces use a representation called the Shakti Standard Format that has been found to be very robust and has been used for large and successful projects. It ties together the different interfaces, so that the data created by them is portable across all tools which support this representation. The existence of a query language for data stored in this representation makes it possible to build tools that allow easy search and modification of annotated parallel data.

Slavic Phraseology: A View Through Corpora

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Zakharov Victor

2017-12-01

Full Text Available The study of word collocability is one of the main tasks of linguistics. The combinatory ability of language units, collocability, is one of the linguistic syntagmatic laws. This phenomenon is the main object of the phraseology and lexicography. The article deals with set phrases of different types in Russian, Czech and Slovak from the point of view of their quantitative evaluation. Corpus linguistics understand set phrases as statistically determined unities. This approach is the basic point of different automatic ways to extract idioms and collocations. The paper describes experiments which show how text corpora and corpus methods and tools can be used to expand the entries in existing dictionaries and how set phrases could be evaluated quantitatively. It is shown and maintained that corpus linguistics methods and tools allow to create dictionaries of new type which have to include a larger amount of set phrases and collocations than before.

Corpora in Language Teaching and Learning

Science.gov (United States)

Boulton, Alex

2017-01-01

This timeline looks at explicit uses of corpora in foreign or second language (L2) teaching and learning, i.e. what happens when end-users explore corpus data, whether directly via concordancers or integrated into CALL programs, or indirectly with prepared printed materials. The underlying rationale is that such contact provides the massive…

Corpora and corpus technology for translation purposes in professional and academic environments. Major achievements and new perspectives

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Cécile Frérot

2016-04-01

The “use” of corpora and concordancers in translation teaching has grown increasingly attractive since the mid1990s’ with an abundant literature advocating their use and promoting their benefits in the translation classroom. In translator training, efforts are being made to incorporate the use of corpora and concordancers in masters’ programmes and to offer specific modules on corpora for translation as the use of translation memory (TM systems within Computer-Aided Translation (CAT courses still dominates. In the translation profession, while TM systems are part of the everyday working environment, the same cannot be said of corpora and concordancers even though the most recent surveys show that professional translators would like to learn more about the potential of corpora for translation. Overall, the “usefulness” of corpora and corpus technology at the different stages of the translation process remains poorly documented in translation but a growing number of empirical studies has started to show concern as it has now become of paramount importance to assess the extent to which corpora are of added value for translation quality in both professional and academic environments.

The adversative connectives aber and but in conversational corpora.

Science.gov (United States)

Gülzow, Insa; Bartlitz, Victoria; Kuehnast, Milena; Golcher, Felix; Bittner, Dagmar

2018-03-09

We analyzed the conversational corpora of two German and two English children to investigate how the different use types of the adversative connectives aber and but influence the probability of monologically versus dialogically constructed utterances in the first year of use. Our findings show that children produce adversative connectives mainly in dialogic structures for illocutionary and theme-management purposes, but that the use types of adversative connectives lead to a different distribution of monologic and dialogic clause combinations. The results suggest that monologic and dialogic realizations as a function of text type must be considered when describing the developmental trajectory of the different use types of adversative connectives.

Developing resources for sentiment analysis of informal Arabic text in social media

OpenAIRE

Itani, Maher; Roast, Chris; Al-Khayatt, Samir

2017-01-01

Natural Language Processing (NLP) applications such as text categorization, machine translation, sentiment analysis, etc., need annotated corpora and lexicons to check quality and performance. This paper describes the development of resources for sentiment analysis specifically for Arabic text in social media. A distinctive feature of the corpora and lexicons developed are that they are determined from informal Arabic that does not conform to grammatical or spelling standards. We refer to Ara...

Use of monolingual and comparable corpora in the classroom to translate adverbial connectors

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Beatriz Sánchez Cárdenas

2016-04-01

This research explored the reasons why certain adverbial discourse connectors, apparently easy to translate, are a source of translation problems that cannot be easily resolved with a bilingual dictionary. Moreover, this study analyzed the use of parallel corpora in the translation classroom and how it can increase the quality of text production. For this purpose, we compared student translations before and after receiving training on the use of corpus analysis tools.

Mining knowledge from text repositories using information extraction ...

Indian Academy of Sciences (India)

Information extraction (IE); text mining; text repositories; knowledge discovery from .... general purpose English words. However ... of precision and recall, as extensive experimentation is required due to lack of public tagged corpora. 4. Mining ...

"Sempre tivemos mulheres nos cantos e nas cordas": uma pesquisa sobre o lugar feminino nas corporações musicais

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Mayara Pacheco Coelho

2014-04-01

Full Text Available O presente artigo insere-se em projeto de pesquisa-intervenção sobre a música e suas articulações identitárias nas corporações musicais da região dos Campos das Vertentes, em especial São João del-Rei e cidades vizinhas. Nessa região, a música tem papel significativo na formação da identidade cultural dos cidadãos e na história dos municípios. O recorte atual apresenta uma investigação sobre determinações de gênero, visando conhecer como se dá a participação de musicistas nas bandas e orquestras da região. Para tanto, utilizou-se a análise arqueológica do discurso, a fim de contrapor falas de musicistas às falas de músicos das corporações e, também, às falas masculinas presentes na filosofia e ao discurso utópico sobre a mulher. Observou-se que as diferenças de gênero tradicionais conservam-se encobertas no cotidiano das corporações musicais. Entretanto, observou-se também que as musicistas começam a ser reconhecidas nas corporações e, sobretudo, reconhecem-se como capazes de, nelas, alçarem voos.

An analysis on the entity annotations in biological corpora [v1; ref status: indexed, http://f1000r.es/2o0

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Mariana Neves

2014-04-01

Full Text Available Collection of documents annotated with semantic entities and relationships are crucial resources to support development and evaluation of text mining solutions for the biomedical domain. Here I present an overview of 36 corpora and show an analysis on the semantic annotations they contain. Annotations for entity types were classified into six semantic groups and an overview on the semantic entities which can be found in each corpus is shown. Results show that while some semantic entities, such as genes, proteins and chemicals are consistently annotated in many collections, corpora available for diseases, variations and mutations are still few, in spite of their importance in the biological domain.

Combinatorial and compositional aspects of bilingual aligned corpora

NARCIS (Netherlands)

Martzoukos, S.

2016-01-01

The subject of investigation of this thesis is the building blocks of translation in Statistical Machine Translation (SMT). We find that these building blocks, namely phrase-level dictionary entries, which are extracted from bilingual aligned corpora (training data), admit richer structure than

A practical application of text mining to literature on cognitive rehabilitation and enhancement through neurostimulation

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Puiu F Balan

2014-09-01

Full Text Available The exponential growth in publications represents a major challenge for researchers. Many scientific domains, including neuroscience, are not yet fully engaged in exploiting large bodies of publications. In this paper, we promote the idea to partially automate the processing of scientific documents, specifically using text mining (TM, to efficiently review big corpora of publications. The cognitive advantage given by TM is mainly related to the automatic extraction of relevant trends from corpora of literature, otherwise impossible to analyze in short periods of time. Specifically, the benefits of TM are increased speed, quality and reproducibility of text processing, boosted by rapid updates of the results. First, we selected a set of TM-tools that allow user-friendly approaches of the scientific literature, and which could serve as a guide for researchers willing to incorporate TM in their work. Second, we used these TM-tools to obtain basic insights into the relevant literature on cognitive rehabilitation (CR and cognitive enhancement (CE using transcranial magnetic stimulation (TMS. TM readily extracted the diversity of TMS applications in CR and CE from vast corpora of publications, automatically retrieving trends already described in published reviews. TMS emerged as one of the important non-invasive tools that can both improve cognitive and motor functions in numerous neurological diseases and induce modulations/enhancements of many fundamental brain functions. TM also revealed trends in big corpora of publications by extracting occurrence frequency and relationships of particular subtopics. Moreover, we showed that CR and CE share research topics, both aiming to increase the brain’s capacity to process information, thus supporting their integration in a larger perspective. Methodologically, despite limitations of a simple user-friendly approach, TM served well the reviewing process.

Mining consumer health vocabulary from community-generated text.

Science.gov (United States)

Vydiswaran, V G Vinod; Mei, Qiaozhu; Hanauer, David A; Zheng, Kai

2014-01-01

Community-generated text corpora can be a valuable resource to extract consumer health vocabulary (CHV) and link them to professional terminologies and alternative variants. In this research, we propose a pattern-based text-mining approach to identify pairs of CHV and professional terms from Wikipedia, a large text corpus created and maintained by the community. A novel measure, leveraging the ratio of frequency of occurrence, was used to differentiate consumer terms from professional terms. We empirically evaluated the applicability of this approach using a large data sample consisting of MedLine abstracts and all posts from an online health forum, MedHelp. The results show that the proposed approach is able to identify synonymous pairs and label the terms as either consumer or professional term with high accuracy. We conclude that the proposed approach provides great potential to produce a high quality CHV to improve the performance of computational applications in processing consumer-generated health text.

[Single and combining effects of Calculus Bovis and zolpidem on inhibitive neurotransmitter of rat striatum corpora].

Science.gov (United States)

Liu, Ping; He, Xinrong; Guo, Mei

2010-04-01

To investigate the correlation effects between single or combined administration of Calculus Bovis or zolpidem and changes of inhibitive neurotransmitter in rat striatum corpora. Sampling from rat striatum corpora was carried out through microdialysis. The content of two inhibitive neurotransmitters in rat corpus striatum- glycine (Gly) and gama aminobutyric acid (GABA), was determined by HPLC, which involved pre-column derivation with orthophthaladehyde, reversed-phase gradient elution and fluorescence detection. GABA content of rat striatum corpora in Calculus Bovis group was significantly increased compared with saline group (P Calculus Boris plus zolpidem group were increased largely compared with saline group as well (P Calculus Bovis group was higher than combination group (P Calculus Bovis or zolpidem group was markedly increased compared with saline group or combination group (P Calculus Bovis group, zolpidem group and combination group. The magnitude of increase was lower in combination group than in Calculus Bovis group and Zolpidem group, suggesting that Calculus Bovis promoted encephalon inhibition is more powerful than zolpidem. The increase in two inhibitive neurotransmitters did not show reinforcing effect in combination group, suggesting that Calculus Bovis and zolpidem may compete the same receptors. Therefore, combination of Calculus Bovis containing drugs and zolpidem has no clinical significance. Calculus Bovis shouldn't as an aperture-opening drugs be used for resuscitation therapy.

Uma investigação dos sentidos de um phrasal verb por meio dos corpora e dicionários on-line

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Emiliana Fernandes Bonalumi

2014-06-01

Full Text Available Nesta pesquisa analisamos o uso do phrasal verbs throw up encontrado em dois corpora on-line originalmente escritos em língua inglesa, a saber: British National Corpus (BNC e Corpus of Contemporary American English (COCA, bem como no livro didático adotado em sala de aula New English File Upper-Intermediate, com o suporte dos dicionários on-line Cambridge Online Dictionary e Macmillan Dictionary. Objetivamos identificar, classificar e generalizar o uso e significados do phrasal verb selecionado para a análise nos respectivos corpora on-line em relação ao seu uso e significado no livro didático anteriormente mencionado. Por meio dos corpora e dicionários on-line, o aluno expandirá seu conhecimento acerca do uso e significados de um determinado phrasal verb, como o analisado nesta investigação. Palavras-chave: linguística de corpus; ensino movido por dados; phrasal verbs.

Text collections for evaluation of Russian morphological taggers

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Lyashevskaya Olga

2017-12-01

Full Text Available The paper describes the preparation and development of the text collections within the framework of MorphoRuEval-2017 shared task, an evaluation campaign designed to stimulate development of the automatic morphological processing technologies for Russian. The main challenge for the organizers was to standardize all available Russian corpora with the manually verified high-quality tagging to a single format (Universal Dependencies CONLL-U. The sources of the data were the disambiguated subcorpus of the Russian National Corpus, SynTagRus, OpenCorpora.org data and GICR corpus with the resolved homonymy, all exhibiting different tagsets, rules for lemmatization, pipeline architecture, technical solutions and error systematicity. The collections includes both normative texts (the news and modern literature and more informal discourse (social media and spoken data, the texts are available under CC BY-NC-SA 3.0 license.

Citation Matching in Sanskrit Corpora Using Local Alignment

Science.gov (United States)

Prasad, Abhinandan S.; Rao, Shrisha

Citation matching is the problem of finding which citation occurs in a given textual corpus. Most existing citation matching work is done on scientific literature. The goal of this paper is to present methods for performing citation matching on Sanskrit texts. Exact matching and approximate matching are the two methods for performing citation matching. The exact matching method checks for exact occurrence of the citation with respect to the textual corpus. Approximate matching is a fuzzy string-matching method which computes a similarity score between an individual line of the textual corpus and the citation. The Smith-Waterman-Gotoh algorithm for local alignment, which is generally used in bioinformatics, is used here for calculating the similarity score. This similarity score is a measure of the closeness between the text and the citation. The exact- and approximate-matching methods are evaluated and compared. The methods presented can be easily applied to corpora in other Indic languages like Kannada, Tamil, etc. The approximate-matching method can in particular be used in the compilation of critical editions and plagiarism detection in a literary work.

Promoting free dialog video corpora: the IFADV corpus example

NARCIS (Netherlands)

van Son, R.J.J.H.; Wesseling, W.; Sanders, E.; van den Heuvel, H.; Kipp, M.; Martin, J.C.; Paggio, P.; Heylen, D.

2009-01-01

Research into spoken language has become more visual over the years. Both fundamental and applied research have progressively included gestures, gaze, and facial expression. Corpora of multi-modal conversational speech are rare and frequently difficult to use due to privacy and copyright

A practical application of text mining to literature on cognitive rehabilitation and enhancement through neurostimulation.

Science.gov (United States)

Balan, Puiu F; Gerits, Annelies; Vanduffel, Wim

2014-01-01

The exponential growth in publications represents a major challenge for researchers. Many scientific domains, including neuroscience, are not yet fully engaged in exploiting large bodies of publications. In this paper, we promote the idea to partially automate the processing of scientific documents, specifically using text mining (TM), to efficiently review big corpora of publications. The "cognitive advantage" given by TM is mainly related to the automatic extraction of relevant trends from corpora of literature, otherwise impossible to analyze in short periods of time. Specifically, the benefits of TM are increased speed, quality and reproducibility of text processing, boosted by rapid updates of the results. First, we selected a set of TM-tools that allow user-friendly approaches of the scientific literature, and which could serve as a guide for researchers willing to incorporate TM in their work. Second, we used these TM-tools to obtain basic insights into the relevant literature on cognitive rehabilitation (CR) and cognitive enhancement (CE) using transcranial magnetic stimulation (TMS). TM readily extracted the diversity of TMS applications in CR and CE from vast corpora of publications, automatically retrieving trends already described in published reviews. TMS emerged as one of the important non-invasive tools that can both improve cognitive and motor functions in numerous neurological diseases and induce modulations/enhancements of many fundamental brain functions. TM also revealed trends in big corpora of publications by extracting occurrence frequency and relationships of particular subtopics. Moreover, we showed that CR and CE share research topics, both aiming to increase the brain's capacity to process information, thus supporting their integration in a larger perspective. Methodologically, despite limitations of a simple user-friendly approach, TM served well the reviewing process.

Learner Corpora without Error Tagging

Directory of Open Access Journals (Sweden)

Rastelli, Stefano

2009-01-01

Full Text Available The article explores the possibility of adopting a form-to-function perspective when annotating learner corpora in order to get deeper insights about systematic features of interlanguage. A split between forms and functions (or categories is desirable in order to avoid the "comparative fallacy" and because – especially in basic varieties – forms may precede functions (e.g., what resembles to a "noun" might have a different function or a function may show up in unexpected forms. In the computer-aided error analysis tradition, all items produced by learners are traced to a grid of error tags which is based on the categories of the target language. Differently, we believe it is possible to record and make retrievable both words and sequence of characters independently from their functional-grammatical label in the target language. For this purpose at the University of Pavia we adapted a probabilistic POS tagger designed for L1 on L2 data. Despite the criticism that this operation can raise, we found that it is better to work with "virtual categories" rather than with errors. The article outlines the theoretical background of the project and shows some examples in which some potential of SLA-oriented (non error-based tagging will be possibly made clearer.

The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text.

Science.gov (United States)

Altszyler, Edgar; Ribeiro, Sidarta; Sigman, Mariano; Fernández Slezak, Diego

2017-11-01

Computer-based dreams content analysis relies on word frequencies within predefined categories in order to identify different elements in text. As a complementary approach, we explored the capabilities and limitations of word-embedding techniques to identify word usage patterns among dream reports. These tools allow us to quantify words associations in text and to identify the meaning of target words. Word-embeddings have been extensively studied in large datasets, but only a few studies analyze semantic representations in small corpora. To fill this gap, we compared Skip-gram and Latent Semantic Analysis (LSA) capabilities to extract semantic associations from dream reports. LSA showed better performance than Skip-gram in small size corpora in two tests. Furthermore, LSA captured relevant word associations in dream collection, even in cases with low-frequency words or small numbers of dreams. Word associations in dreams reports can thus be quantified by LSA, which opens new avenues for dream interpretation and decoding. Copyright © 2017 Elsevier Inc. All rights reserved.

Studies on luteinizing hormone receptors of human corpora lutea during menstrual cycle and pregnancy

International Nuclear Information System (INIS)

Izumi, Yasushi

1982-01-01

With the purpose of explicating the lifespan of human corpora lutea, using human corpora lutea of the menstrual cycle and pregnancy, binding of 125 I-LH to the 20,000g cell membrane fraction was examined. 1) Specific bindings of 125 I-LH, 125 I-HCG were demonstrated in the 20,000g cell membrane fraction. Although LH and HCG were parallel in inhibiting 125 I-LH binding, HCG was found to be more effective. FSH did not inhibit binding. 2) Binding of 125 I-LH was dependent on time, temperature, 125 I-LH concentration, amount of the cell membrane fraction protein and pH. The highest binding was seen at pH 6.0 while incubating for 60 min at 37 0 C. 3) The number of LH receptors in human corpora lutea of the menstrual cycle increased towards midluteal phase, especiallt on 5th day from ovulation, and decreased towards late luteal phase. LH receptor was not found in corpus albicans. The apparent dissociation constant of each corpus luteum did not change throughout the menstrual cycle. 4) Corpora lutea of pregnancy contained a few or no receptors which bound 125 I-LH specifically. These data suggest that LH receptor is an important factor regulating the lifespan of corpus luteum and exogenous HCG has effect on luteal insufficiency, but the effect of HCG on threatened abortion is uncertain. (author)

Correlation among foetal number, corpora lutea and plasma progesterone in rockland-swiss mice. [Progesterone determination by radioimmunoassay

Energy Technology Data Exchange (ETDEWEB)

Simon, N G; Bridges, R S; Gandelmann, R [Rutgers - the State Univ., New Brunswick. NJ (USA). Dept. of Psychology; Rutgers - the State Univ., Newark, NJ (USA). Inst. of Animal Behavior)

1978-01-01

The relationship among plasma progesterone, number of corpora lutea, and foetal number was assessed in Rockland-Swiss albino mice. While number of corpora lutea and foetal number were significantly correlated, neither was related to plasma progesterone level. This finding in the mouse is similar to results reported in the rabbit.

Some Benefits of Corpora as a Language Learning Tool

Science.gov (United States)

Marjanovic, Tatjana

2012-01-01

What this paper is meant to do is share illustrations and insights into how English learners and teachers alike can benefit from using corpora in their work. Arguments are made for their multifaceted possibilities as grammatical, lexical and discourse pools suitable for discovering ways of the language, be they regularities or idiosyncrasies. The…

Studies on luteinizing hormone receptors of human corpora lutea during menstrual cycle and pregnancy

Energy Technology Data Exchange (ETDEWEB)

Izumi, Yasushi (Keio Univ., Tokyo (Japan). School of Medicine)

1982-10-01

With the purpose of explicating the lifespan of human corpora lutea, using human corpora lutea of the menstrual cycle and pregnancy, binding of /sup 125/I-LH to the 20,000g cell membrane fraction was examined. 1) Specific bindings of /sup 125/I-LH, /sup 125/I-HCG were demonstrated in the 20,000g cell membrane fraction. Although LH and HCG were parallel in inhibiting /sup 125/I-LH binding, HCG was found to be more effective. FSH did not inhibit binding. 2) Binding of /sup 125/I-LH was dependent on time, temperature, /sup 125/I-LH concentration, amount of the cell membrane fraction protein and pH. The highest binding was seen at pH 6.0 while incubating for 60 min at 37/sup 0/C. 3) The number of LH receptors in human corpora lutea of the menstrual cycle increased towards midluteal phase, especially on 5th day from ovulation, and decreased towards late luteal phase. LH receptor was not found in corpus albicans. The apparent dissociation constant of each corpus luteum did not change throughout the menstrual cycle. 4) Corpora lutea of pregnancy contained a few or no receptors which bound /sup 125/I-LH specifically. These data suggest that LH receptor is an important factor regulating the lifespan of corpus luteum and exogenous HCG has effect on luteal insufficiency, but the effect of HCG on threatened abortion is uncertain.

Effects of prostaglandin F2 alpha and a gonadotropin-releasing hormone agonist on inositol phospholipid metabolism in isolated rat corpora lutea of various ages

International Nuclear Information System (INIS)

Lahav, M.; West, L.A.; Davis, J.S.

1988-01-01

The sensitivity of rat corpora lutea to luteolytic agents increases with luteal age. We examined the effect of prostaglandin F2 alpha (PGF2 alpha) and [D-Ala6,Des-Gly10]GnRH ethylamide (GnRHa) on inositol phospholipid metabolism in day 2 and day 7 corpora lutea from PMSG-treated rats. Isolated corpora lutea were incubated with 32PO4 or [3H]inositol and were treated with LH, PGF2 alpha, or GnRHa. Phospholipids were purified by TLC, and the water-soluble products of phospholipase-C activity (inositol phosphates) were isolated by ion exchange chromatography. In day 2 corpora lutea, PGF2 alpha, (10 microM) and GnRHa (100 ng/ml) significantly increased 32PO4 incorporation into phosphatidic acid (PA) and phosphatidylinositol (PI), but not into other fractions. LH provoked slight increases in PA. Results were similar with 30 min of prelabeling or simultaneous addition of 32PO4 and stimulants. In other experiments, PGF2 alpha and GnRHa provoked rapid increases (1-5 min) in the accumulation of inositol mono-, bis-, and trisphosphates. LH did not significantly increase inositol phosphate accumulation, but stimulated cAMP accumulation in 2-day-old corpora lutea. Inositol phospholipid metabolism was increased in day 7 corpora lutea compared to that in day 2 corpora lutea. This increase was associated with increased incorporation of 32PO4 into PA and PI and increased accumulation of [3H]inositol phosphates. In day 7 corpora lutea, which are very sensitive to the luteolytic effect of PGF2 alpha, the PG-induced increase in PA labeling was small and inconsistent, whereas PI labeling was unaffected in 30-min incubations. GnRHa was without effect in such corpora lutea. LH, PGF2 alpha, or GnRHa did not increase inositol phosphate accumulation in 7-day-old corpora lutea. These studies demonstrate that the transformation of young (day 2) to mature (day 7) corpora lutea is associated with an increase in luteal inositol phospholipid metabolism

Lexical bundles in an advanced INTOCSU writing class and engineering texts: A functional analysis

Science.gov (United States)

Alquraishi, Mohammed Abdulrahman

The purpose of this study is to investigate the functions of lexical bundles in two corpora: a corpus of engineering academic texts and a corpus of IEP advanced writing class texts. This study is concerned with the nature of formulaic language in Pathway IEPs and engineering texts, and whether those types of texts show similar or distinctive formulaic functions. Moreover, the study looked into lexical bundles found in an engineering 1.26 million-word corpus and an ESL 65000-word corpus using a concordancing program. The study then analyzed the functions of those lexical bundles and compared them statistically using chi-square tests. Additionally, the results of this investigation showed 236 unique frequent lexical bundles in the engineering corpus and 37 bundles in the pathway corpus. Also, the study identified several differences between the density and functions of lexical bundles in the two corpora. These differences were evident in the distribution of functions of lexical bundles and the minimal overlap of lexical bundles found in the two corpora. The results of this study call for more attention to formulaic language at ESP and EAP programs.

DEEP LEARNING MODEL FOR BILINGUAL SENTIMENT CLASSIFICATION OF SHORT TEXTS

Directory of Open Access Journals (Sweden)

Y. B. Abdullin

2017-01-01

Full Text Available Sentiment analysis of short texts such as Twitter messages and comments in news portals is challenging due to the lack of contextual information. We propose a deep neural network model that uses bilingual word embeddings to effectively solve sentiment classification problem for a given pair of languages. We apply our approach to two corpora of two different language pairs: English-Russian and Russian-Kazakh. We show how to train a classifier in one language and predict in another. Our approach achieves 73% accuracy for English and 74% accuracy for Russian. For Kazakh sentiment analysis, we propose a baseline method, that achieves 60% accuracy; and a method to learn bilingual embeddings from a large unlabeled corpus using a bilingual word pairs.

Preceitos e normas internas (kakun de casas comerciais japonesas: um estudo sobre a longevidade e a ética da corporação japonesa

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Isao Yamamoto

Full Text Available O estudo de corporações de uma das maiores economias mundiais se justifica em um mundo sem fronteiras no qual hoje vivemos e onde diferenças culturais afetam relações negociais. O objetivo é explicitar como as casas comerciais e outras corporações tradicionais japonesas conseguiram enorme longevidade. Foi privilegiado o papel desempenhado pelo kakun nessas corporações; ou seja, o papel desempenhado por um conjunto de preceitos e normas internas que, tendo surgido nos séculos XVII e XVIII, tem viva a sua força até os dias correntes. O método escolhido para o estudo foi a historiografia, que visa ao resgate dos acontecimentos e das atividades humanas ao longo do tempo. Chegamos à conclusão de que muito do que pregava o kakun está hoje presente em estudos sobre organizações e gestão e que, associado a questões éticas, o kakun é, em grande parte, o responsável pela longevidade das empresas japonesas.

Using corpora in scientific and technical translation training: resources to identify conventionality and promote creativity

OpenAIRE

Clara Inés López-Rodríguez

2016-01-01

http://dx.doi.org/10.5007/2175-7968.2016v36nesp1p88 Since the first Corpus Use and Learning to Translate (CULT) Conference in Bertinoro (Italy) in 1997, the usefulness of corpora for translators and trainee translators has been highlighted. From an initial approach where translators compiled ad hoc corpora in their hard drive for a subsequent study with lexical analysis software, there emerged a new trend towards the use of the Internet as corpus. In this second approach, the Web is perce...

Designing and Implementing a Cross-Language Information Retrieval System Using Linguistic Corpora

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Amin Nezarat

2012-03-01

Full Text Available Information retrieval (IR is a crucial area of natural language processing (NLP and can be defined as finding documents whose content is relevant to the query need of a user. Cross-language information retrieval (CLIR refers to a kind of information retrieval in which the language of the query and that of searched document are different. In fact, it is a retrieval process where the user presents queries in one language to retrieve documents in another language. This paper tried to construct a bilingual lexicon of parallel chunks of English and Persian from two very large monolingual corpora an English-Persian parallel corpus which could be directly applied to cross-language information retrieval tasks. For this purpose, a statistical measure known as Association Score (AS was used to compute the association value between every two corresponding chunks in the corpus using a couple of complicated algorithms. Once the CLIR system was developed using this bilingual lexicon, an experiment was performed on a set of one hundred English and Persian phrases and collocations to see to what extend this system was effective in assisting the users find the most relevant and suitable equivalents of their queries in either language.

Corporate Secretarial Bilingual Activity: An English Teaching Proposal Based on Corpora Directed to the Secretaries

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José Roberto Lourenço

2015-07-01

Full Text Available This article presents part of research conducted in the field of Corpus Linguistics about the use of corpora in English Language Teaching specifically directed to corporate secretarial activities. The study developed at the doctoral level had FATEC-SP students as voluntary respondents to a questionnaire on corporate secretarial activities; the responses presented as one of the most important and frequent secretarial activities, "Reading, Preparation and Presentation of Administrative Report". We present a model of practice in English Teaching with an initial focus on "Company History, Strategies and Structure".

Regeneration of rat corpora cavernosa tissue by transplantation of CD133+ cells derived from human bone marrow and placement of biodegradable gel sponge sheet

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Shogo Inoue

2017-01-01

Full Text Available The objective is to develop an easier technique for regenerating corpora cavernosa tissue through transplantation of human bone marrow-derived CD133 + cells into a rat corpora cavernosa defect model. We excised 2 mm × 2 mm squares of the right corpora cavernosa of twenty-three 8-week-old male nude rats. Alginate gel sponge sheets supplemented with 1 × 10 4 CD133 + cells were then placed over the excised area of nine rats. Functional and histological evaluations were carried out 8 weeks later. The mean intracavernous pressure/mean arterial pressure ratio for the nine rats (0.34258 ± 0.0831 was significantly higher than that for eight rats with only the excision (0.0580 ± 0.0831, P = 0.0238 and similar to that for five rats for which the penis was exposed, and there was no excision (0.37228 ± 0.1051, P = 0.8266. Immunohistochemical analysis revealed that the nine fully treated rats had venous sinus-like structures and quantitative reverse transcription polymerase chain reaction analysis of extracts from their alginate gel sponge sheets revealed that the amounts of mRNA encoding the nerve growth factor (NGF, and vascular endothelial growth factor (VEGF were significantly higher than those for rats treated with alginate gel sheets without cell supplementation (NGF: P = 0.0309; VEGF: P < 0.0001. These findings show that transplantation of CD133 + cells accelerates functional and histological recovery in the corpora cavernosa defect model.

Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach

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Gatis Špats

2016-07-01

Full Text Available In this paper we demonstrate approaches for opinion mining in Latvian text. Authors have applied, combined and extended results of several previous studies and public resources to perform opinion mining in Latvian text using two approaches, namely, semantic polarity analysis and machine learning. One of the most significant constraints that make application of opinion mining for written content classification in Latvian text challenging is the limited publicly available text corpora for classifier training. We have joined several sources and created a publically available extended lexicon. Our results are comparable to or outperform current achievements in opinion mining in Latvian. Experiments show that lexicon-based methods provide more accurate opinion mining than the application of Naive Bayes machine learning classifier on Latvian tweets. Methods used during this study could be further extended using human annotators, unsupervised machine learning and bootstrapping to create larger corpora of classified text.

Laughter annotations in conversational speech corpora - possibilities and limitations for phonetic analysis

NARCIS (Netherlands)

Truong, Khiet Phuong; Trouvain, Jürgen

Existing laughter annotations provided with several publicly available conversational speech corpora (both multiparty and dyadic conversations) were investigated and compared. We discuss the possibilities and limitations of these rather coarse and shallow laughter annotations. There are definition

Use of monolingual and comparable corpora in the classroom to translate adverbial connectors

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Beatriz Sánchez Cárdenas

2016-06-01

Full Text Available Research in terminology has traditionally focused on nouns. Considerably less attention has been paid to other grammatical categories such as adverbs. However, these words can also be problematic for the novice translator, who tends to use the translation correspondences in bilingual dictionaries without realizing that formal equivalence is not necessarily the same as textual equivalence. However, semantic values, acquired in context, go far beyond dictionary meaning and are related to phenomena such as semantic prosody and preferences of lexical selection that can vary, depending on text type and specialized domain. This research explored the reasons why certain adverbial discourse connectors, apparently easy to translate, are a source of translation problems that cannot be easily resolved with a bilingual dictionary. Moreover, this study analyzed the use of parallel corpora in the translation classroom and how it can increase the quality of text production. For this purpose, we compared student translations before and after receiving training on the use of corpus analysis tools

Using Corpora in EFL Classrooms: The Case Study of IELTS Preparation

Science.gov (United States)

Smirnova, Elizaveta A.

2017-01-01

This article describes the gathered experience in using corpora in an IELTS preparation course. The practice demonstrates an attempt to reduce negative washback effects occurring when preparation courses just concentrate on the test format neglecting the importance of development of learners' language skills and general study skills. Some…

Using Small Parallel Corpora to Develop Collocation-Centred Activities in Specialized Translation Classes

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Postolea Sorina

2016-12-01

Full Text Available The research devoted to special languages as well as the activities carried out in specialized translation classes tend to focus primarily on one-word or multi-word terminological units. However, a very important part in the making of specialist registers and texts is played by specialised collocations, i.e. relatively stable word combinations that do not designate concepts but are nevertheless of frequent use in a given field of activity. This is why helping students acquire competences relative to the identification and processing of collocations should become an important objective in specialised translation classes. An easily accessible and dependable resource that may be successfully used to this purpose is represented by corpora and corpus analysis tools, whose usefulness in translator training has been highlighted by numerous studies. This article proposes a series of practical, task-based activities-developed with the help of a small-size parallel corpus of specialised texts-that aim to raise the translation trainees′ awareness of the collocations present in specialised texts and to provide suggestions about their processing in translation.

Induction of canine deciduoma in some reproductive stages with the different condition of corpora lutea.

Science.gov (United States)

Nomura, K

1997-03-01

Bitches were examined to see whether canine deciduoma could be induced at some reproductive stages with the different conditions of corpora lutea by inserting a silk suture into the uterine lumen. The bitches stimulated in the early and middle stages of diestrus or in unilateral pregnancy corresponding to these diestrous stages formed deciduoma at a high induction rate, however, no difference in the strength of decidual reaction between the pregnant and diestrous stages was recognized. On the other hand, no reaction could be seen in bitches in late diestrus, the late stage of unilateral pregnancy or the post partum repair phase in which stromal decidual cells similar to those of the rodentia can be seen. In already implanted uteri, however, no deciduoma was formed in the interplacental areas. Even though the corpora lutea were functional, new additional stimulations were not accepted at the interplacental area in which the uterine horn had already been influenced by fertilized ova. From these results, it was suggested that in the dog as well as the rodentia, the endometrium has to be under the influence of functional corpora lutea in order to form deciduoma.

Chinese legal texts – Quantitative Description

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Ľuboš GAJDOŠ

2017-06-01

Full Text Available The aim of the paper is to provide a quantitative description of legal Chinese. This study adopts the approach of corpus-based analyses and it shows basic statistical parameters of legal texts in Chinese, namely the length of a sentence, the proportion of part of speech etc. The research is conducted on the Chinese monolingual corpus Hanku. The paper also discusses the issues of statistical data processing from various corpora, e.g. the tokenisation and part of speech tagging and their relevance to study of registers variation.

The Corpora of China English: Implications for an EFL Dictionary for ...

African Journals Online (AJOL)

The localization of the English language in China has brought about a distinctive English variety which has come to be known as China English. Recently, several corpora of China English have been or are being built; these will help us to identify the established linguistic features of this variety, and should greatly facilitate ...

Pathway computation in models derived from bio-science text sources

DEFF Research Database (Denmark)

Andreasen, Troels; Bulskov, Henrik; Jensen, Per Anker

2017-01-01

This paper outlines a system, OntoScape, serving to accomplish complex inference tasks on knowledge bases and bio-models derived from life-science text corpora. The system applies so-called natural logic, a form of logic which is readable for humans. This logic affords ontological representations...

Dynamics of extracellular matrix in ovarian follicles and corpora lutea of mice

DEFF Research Database (Denmark)

Irving-Rodgers, Helen F; Hummitzsch, Katja; Murdiyarso, Lydia S

2009-01-01

Despite the mouse being an important laboratory species, little is known about changes in its extracellular matrix (ECM) during follicle and corpora lutea formation and regression. Follicle development was induced in mice (29 days of age/experimental day 0) by injections of pregnant mare's serum...... and antral follicles. The focimatrix, a specialised matrix of the membrana granulosa, contained collagen type IV alpha1 and alpha2, laminin alpha1, beta1 and gamma1 chains, nidogens 1 and 2, perlecan and collagen type XVIII. In the corpora lutea, staining was restricted to capillary sub-endothelial basal...... gonadotrophin on days 0 and 1 and ovulation was induced by injection of human chorionic gonadotrophin on day 2. Ovaries were collected for immunohistochemistry (n=10 per group) on days 0, 2 and 5. Another group was mated and ovaries were examined on day 11 (n=7). Collagen type IV alpha1 and alpha2, laminin...

Contribuições das teorias institucionais para o estudo de subsidiárias de corporações multinacionais

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Takeyoshi Imasato

Full Text Available Este ensaio destaca, inicialmente, as contribuições dos Estudos Organizacionais para o entendimento das corporações multinacionais. Em decorrência da capacidade de influenciar os demais atores nos âmbitos local, nacional, regional, internacional e transnacional, as multinacionais desafiam as abordagens tradicionais de estudos organizacionais seguidas por pesquisadores da área de Gestão Internacional. A seguir, o ensaio explora as possibilidades e os limites das abordagens de teoria institucional para o entendimento das subsidiárias de corporações multinacionais. Esse aporte teórico pode auxiliar tanto no estudo dessas empresas quanto da natureza das diferenças entre as instituições nos diversos países de operação, por possibilitarem a análise simultânea de múltiplos contextos institucionais simultaneamente. Como resultado, o ensaio contribui para o desenvolvimento teórico das interfaces entre as áreas de Estudos Organizacionais e de Gestão Internacional, principalmente, no que se refere às investigações que enfatizem o papel estratégico das subsidiárias.

Deleterious effects of progestagen treatment in VEGF expression in corpora lutea of pregnant ewes.

Science.gov (United States)

Letelier, C A; Sanchez, M A; Garcia-Fernandez, R A; Sanchez, B; Garcia-Palencia, P; Gonzalez-Bulnes, A; Flores, J M

2011-06-01

The aim of the current study was to determine the possible effects of progestagen oestrous synchronization on vascular endothelial growth factor (VEGF) expression during sheep luteogenesis and the peri-implantation period and the relationship with luteal function. At days 9, 11, 13, 15, 17 and 21 of pregnancy, the ovaries from 30 progestagen treated and 30 ewes cycling after cloprostenol injection were evaluated by ultrasonography and, thereafter, collected and processed for immunohistochemical evaluation of VEGF; blood samples were drawn for evaluating plasma progesterone. The progestagen-treated group showed smaller corpora lutea than cloprostenol-treated and lower progesterone secretion. The expression of VEGF in the luteal cells increased with time in the cloprostenol group, but not in the progestagen-treated group, which even showed a decrease between days 11 and 13. In progestagen-treated sheep, VEGF expression in granulosa-derived parenchymal lobule capillaries was correlated with the size of the luteal tissue, larger corpora lutea had higher expression, and tended to have a higher progesterone secretion. In conclusion, the current study indicates the existence of deleterious effects from exogenous progestagen treatments on progesterone secretion from induced corpora lutea, which correlate with alterations in the expression of VEGF in the luteal tissue and, this, presumably in the processes of neoangiogenesis and luteogenesis. © 2010 Blackwell Verlag GmbH.

Luteinizing hormone receptors in human ovarian follicles and corpora lutea during the menstrual cycle

International Nuclear Information System (INIS)

Yamoto, M.; Nakano, R.; Iwasaki, M.; Ikoma, H.; Furukawa, K.

1986-01-01

The binding of 125 I-labeled human luteinizing hormone (hLH) to the 2000-g fraction of human ovarian follicles and corpora lutea during the entire menstrual cycle was examined. Specific high affinity, low capacity receptors for hLH were demonstrated in the 2000-g fraction of both follicles and corpora lutea. Specific binding of 125 I-labeled hLH to follicular tissue increased from the early follicular phase to the ovulatory phase. Specific binding of 125 I-labeled hLH to luteal tissue increased from the early luteal phase to the midluteal phase and decreased towards the late luteal phase. The results of the present study indicate that the increase and decrease in receptors for hLH during the menstrual cycle might play an important role in the regulation of the ovarian cycle

Helios: Understanding Solar Evolution Through Text Analytics

Energy Technology Data Exchange (ETDEWEB)

Randazzese, Lucien [SRI International, Menlo Park, CA (United States)

2016-12-02

This proof-of-concept project focused on developing, testing, and validating a range of bibliometric, text analytic, and machine-learning based methods to explore the evolution of three photovoltaic (PV) technologies: Cadmium Telluride (CdTe), Dye-Sensitized solar cells (DSSC), and Multi-junction solar cells. The analytical approach to the work was inspired by previous work by the same team to measure and predict the scientific prominence of terms and entities within specific research domains. The goal was to create tools that could assist domain-knowledgeable analysts in investigating the history and path of technological developments in general, with a focus on analyzing step-function changes in performance, or “breakthroughs,” in particular. The text-analytics platform developed during this project was dubbed Helios. The project relied on computational methods for analyzing large corpora of technical documents. For this project we ingested technical documents from the following sources into Helios: Thomson Scientific Web of Science (papers), the U.S. Patent & Trademark Office (patents), the U.S. Department of Energy (technical documents), the U.S. National Science Foundation (project funding summaries), and a hand curated set of full-text documents from Thomson Scientific and other sources.

Application of Learner Corpora to Second Language Learning and Teaching: An Overview

Science.gov (United States)

Xu, Qi

2016-01-01

The paper gives an overview of learner corpora and their application to second language learning and teaching. It is proposed that there are four core components in learner corpus research, namely, corpus linguistics expertise, a good background in linguistic theory, knowledge of SLA theory, and a good understanding of foreign language teaching…

Microsyntactic Annotation of Corpora and its Use in Computational Linguistics Tasks

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Iomdin Leonid

2017-12-01

Full Text Available Microsyntax is a linguistic discipline dealing with idiomatic elements whose important properties are strongly related to syntax. In a way, these elements may be viewed as transitional entities between the lexicon and the grammar, which explains why they are often underrepresented in both of these resource types: the lexicographer fails to see such elements as full-fledged lexical units, while the grammarian finds them too specific to justify the creation of individual well-developed rules. As a result, such elements are poorly covered by linguistic models used in advanced modern computational linguistic tasks like high-quality machine translation or deep semantic analysis. A possible way to mend the situation and improve the coverage and adequate treatment of microsyntactic units in linguistic resources is to develop corpora with microsyntactic annotation, closely linked to specially designed lexicons. The paper shows how this task is solved in the deeply annotated corpus of Russian, SynTagRus.

Luteinizing hormone receptors in human ovarian follicles and corpora lutea during the menstrual cycle

Energy Technology Data Exchange (ETDEWEB)

Yamoto, M.; Nakano, R.; Iwasaki, M.; Ikoma, H.; Furukawa, K.

1986-08-01

The binding of /sup 125/I-labeled human luteinizing hormone (hLH) to the 2000-g fraction of human ovarian follicles and corpora lutea during the entire menstrual cycle was examined. Specific high affinity, low capacity receptors for hLH were demonstrated in the 2000-g fraction of both follicles and corpora lutea. Specific binding of /sup 125/I-labeled hLH to follicular tissue increased from the early follicular phase to the ovulatory phase. Specific binding of /sup 125/I-labeled hLH to luteal tissue increased from the early luteal phase to the midluteal phase and decreased towards the late luteal phase. The results of the present study indicate that the increase and decrease in receptors for hLH during the menstrual cycle might play an important role in the regulation of the ovarian cycle.

Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span

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Jordan MI

2006-05-01

Full Text Available Abstract Background The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of molecular sequence and profiling data. Here, the potential of such modeling is demonstrated by examining the 5,225 free-text items in the Caenorhabditis Genetic Center (CGC Bibliography using techniques from statistical information retrieval. Items in the CGC biomedical text corpus were modeled using the Latent Dirichlet Allocation (LDA model. LDA is a hierarchical Bayesian model which represents a document as a random mixture over latent topics; each topic is characterized by a distribution over words. Results An LDA model estimated from CGC items had better predictive performance than two standard models (unigram and mixture of unigrams trained using the same data. To illustrate the practical utility of LDA models of biomedical corpora, a trained CGC LDA model was used for a retrospective study of nematode genes known to be associated with life span modification. Corpus-, document-, and word-level LDA parameters were combined with terms from the Gene Ontology to enhance the explanatory value of the CGC LDA model, and to suggest additional candidates for age-related genes. A novel, pairwise document similarity measure based on the posterior distribution on the topic simplex was formulated and used to search the CGC database for "homologs" of a "query" document discussing the life span-modifying clk-2 gene. Inspection of these document homologs enabled and facilitated the production of hypotheses about the function and role of clk-2. Conclusion Like other graphical models for genetic, genomic and other types of biological data, LDA provides a method for extracting unanticipated insights and generating predictions amenable to subsequent experimental validation.

Avoid violence, rioting, and outrage; approach celebration, delight, and strength: Using large text corpora to compute valence, arousal, and the basic emotions.

Science.gov (United States)

Westbury, Chris; Keith, Jeff; Briesemeister, Benny B; Hofmann, Markus J; Jacobs, Arthur M

2015-01-01

Ever since Aristotle discussed the issue in Book II of his Rhetoric, humans have attempted to identify a set of "basic emotion labels". In this paper we propose an algorithmic method for evaluating sets of basic emotion labels that relies upon computed co-occurrence distances between words in a 12.7-billion-word corpus of unselected text from USENET discussion groups. Our method uses the relationship between human arousal and valence ratings collected for a large list of words, and the co-occurrence similarity between each word and emotion labels. We assess how well the words in each of 12 emotion label sets-proposed by various researchers over the past 118 years-predict the arousal and valence ratings on a test and validation dataset, each consisting of over 5970 items. We also assess how well these emotion labels predict lexical decision residuals (LDRTs), after co-varying out the effects attributable to basic lexical predictors. We then demonstrate a generalization of our method to determine the most predictive "basic" emotion labels from among all of the putative models of basic emotion that we considered. As well as contributing empirical data towards the development of a more rigorous definition of basic emotions, our method makes it possible to derive principled computational estimates of emotionality-specifically, of arousal and valence-for all words in the language.

Bollywood Movie Corpus for Text, Images and Videos

OpenAIRE

Madaan, Nishtha; Mehta, Sameep; Saxena, Mayank; Aggarwal, Aditi; Agrawaal, Taneea S; Malhotra, Vrinda

2017-01-01

In past few years, several data-sets have been released for text and images. We present an approach to create the data-set for use in detecting and removing gender bias from text. We also include a set of challenges we have faced while creating this corpora. In this work, we have worked with movie data from Wikipedia plots and movie trailers from YouTube. Our Bollywood Movie corpus contains 4000 movies extracted from Wikipedia and 880 trailers extracted from YouTube which were released from 1...

WARCProcessor: An Integrative Tool for Building and Management of Web Spam Corpora

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Miguel Callón

2017-12-01

Full Text Available In this work we present the design and implementation of WARCProcessor, a novel multiplatform integrative tool aimed to build scientific datasets to facilitate experimentation in web spam research. The developed application allows the user to specify multiple criteria that change the way in which new corpora are generated whilst reducing the number of repetitive and error prone tasks related with existing corpus maintenance. For this goal, WARCProcessor supports up to six commonly used data sources for web spam research, being able to store output corpus in standard WARC format together with complementary metadata files. Additionally, the application facilitates the automatic and concurrent download of web sites from Internet, giving the possibility of configuring the deep of the links to be followed as well as the behaviour when redirected URLs appear. WARCProcessor supports both an interactive GUI interface and a command line utility for being executed in background.

Juvenile hormone biosynthesis gene expression in the corpora allata of honey bee (Apis mellifera L. female castes.

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Ana Durvalina Bomtorin

Full Text Available Juvenile hormone (JH controls key events in the honey bee life cycle, viz. caste development and age polyethism. We quantified transcript abundance of 24 genes involved in the JH biosynthetic pathway in the corpora allata-corpora cardiaca (CA-CC complex. The expression of six of these genes showing relatively high transcript abundance was contrasted with CA size, hemolymph JH titer, as well as JH degradation rates and JH esterase (jhe transcript levels. Gene expression did not match the contrasting JH titers in queen and worker fourth instar larvae, but jhe transcript abundance and JH degradation rates were significantly lower in queen larvae. Consequently, transcriptional control of JHE is of importance in regulating larval JH titers and caste development. In contrast, the same analyses applied to adult worker bees allowed us inferring that the high JH levels in foragers are due to increased JH synthesis. Upon RNAi-mediated silencing of the methyl farnesoate epoxidase gene (mfe encoding the enzyme that catalyzes methyl farnesoate-to-JH conversion, the JH titer was decreased, thus corroborating that JH titer regulation in adult honey bees depends on this final JH biosynthesis step. The molecular pathway differences underlying JH titer regulation in larval caste development versus adult age polyethism lead us to propose that mfe and jhe genes be assayed when addressing questions on the role(s of JH in social evolution.

A new universality class in corpus of texts; A statistical physics study

Science.gov (United States)

Najafi, Elham; Darooneh, Amir H.

2018-05-01

Text can be regarded as a complex system. There are some methods in statistical physics which can be used to study this system. In this work, by means of statistical physics methods, we reveal new universal behaviors of texts associating with the fractality values of words in a text. The fractality measure indicates the importance of words in a text by considering distribution pattern of words throughout the text. We observed a power law relation between fractality of text and vocabulary size for texts and corpora. We also observed this behavior in studying biological data.

U-Compare: share and compare text mining tools with UIMA

Science.gov (United States)

Kano, Yoshinobu; Baumgartner, William A.; McCrohon, Luke; Ananiadou, Sophia; Cohen, K. Bretonnel; Hunter, Lawrence; Tsujii, Jun'ichi

2009-01-01

Summary: Due to the increasing number of text mining resources (tools and corpora) available to biologists, interoperability issues between these resources are becoming significant obstacles to using them effectively. UIMA, the Unstructured Information Management Architecture, is an open framework designed to aid in the construction of more interoperable tools. U-Compare is built on top of the UIMA framework, and provides both a concrete framework for out-of-the-box text mining and a sophisticated evaluation platform allowing users to run specific tools on any target text, generating both detailed statistics and instance-based visualizations of outputs. U-Compare is a joint project, providing the world's largest, and still growing, collection of UIMA-compatible resources. These resources, originally developed by different groups for a variety of domains, include many famous tools and corpora. U-Compare can be launched straight from the web, without needing to be manually installed. All U-Compare components are provided ready-to-use and can be combined easily via a drag-and-drop interface without any programming. External UIMA components can also simply be mixed with U-Compare components, without distinguishing between locally and remotely deployed resources. Availability: http://u-compare.org/ Contact: kano@is.s.u-tokyo.ac.jp PMID:19414535

Corpora amylacea in temporal lobe epilepsy associated with hippocampal sclerosis

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Ribeiro Marlise de Castro

2003-01-01

Full Text Available Hippocampal sclerosis (HS is the commonest pathology in epileptic patients undergoing temporal lobe epilepsy surgery. Beside, there are an increased density of corpora amylacea (CA founded in 6 to 63% of those cases. OBJECTIVE: verify the presence of CA and the clinical correlates of their occurrence in a consective series of patients undergoing temporal surgery with diagnosis of HS. METHOD: We reviewed 72 hippocampus specimens from January 1997 to July 2000. Student's t test for independent, samples, ANOVA and Tukey test were performed for statistical analysis. RESULTS: CA were found in 35 patients (49%, whose mean epilepsy duration (28.7 years was significantly longer than that group of patients without CA (19.5 years, p= 0.001. Besides, when CA were found, duration was also significantly correlated with distribution within hippocampus: 28.7 years with diffuse distribution of CA, 15.4 with exclusively subpial and 17.4 years with distribution subpial plus perivascular (p= 0.001. CONCLUSION: Our findings corroborate the presence of CA in patients with HS and suggest that a longer duration of epilepsy correlate with a more distribution of CA in hippocampus.

Korpusy jako zdroje dat pro úpravy nástrojů automatické morfologické analýzy (Slovotvorné varianty adjektiv na [(ou|í]cí z hlediska morfologického značkování : Corpora as Data Sources for the Up-Grading of Morphological Tagging

Directory of Open Access Journals (Sweden)

Osolsobě, Klára

2015-10-01

Full Text Available Adjectives ending with -oucí/-ící are regularly derived from verbs and hence are not usually listed in any of the Czech monolingual dictionaries. On the level of automatic morphological analysis (the dictionary of Czech they should be generated from verbal roots and tagged as verbal adjectives (pos tag: AG.*. The data from Czech corpora prove a inconsistencies in tagging and b gaps in the dictionary. The main cause of both kinds of insufficiency is the existence of variants on the level of verbal forms from which the verbal adjectives are potentially derived. Consequently, text corpora are a significant sourceof knowledge about the formation and use of adjectives with endings -oucí/-ící that can be important for both a automatic morphological analysis of Czech and b theoretical description of Czech grammar(derivational morphology. Our goal is to present a corpus-based study of the Czech gerund, i.e. verbaladjectives with -oucí/-ící. The link between the inflected and the word-formation variants will bedemonstrated using material from the SYN corpus (2,6 billion tokens of written Czech and the large web corpus czTenTen12 (5,2 billion tokens of Czech text from the Internet — cleaned and deduplicated.

Contrasting Specific English Corpora: Language Variation

Directory of Open Access Journals (Sweden)

María Luisa Carrió Pastor

2009-12-01

Full Text Available The scientific community has traditionally considered technical English as neutral and objective, able to transmit ideas and research in simple sentences and specialized vocabulary. Nevertheless, global communication and intense information delivery have produced a range of different ways of knowledge transmission. Although technical English is considered an objective way to transmit science, writers of academic papers use some words or structures with different frequency in the same genre. As a consequence of this, contrastive studies about the use of second languages have been increasingly attracting scholarly attention. In this research, we evidence that variation in language production is a reality and can be proved contrasting corpora written by native writers of English and by non-native writers of English. The objectives of this paper are first to detect language variation in a technical English corpus; second, to demonstrate that this finding evidences the parts of the sentence that are more sensitive to variation; finally, it also evidences the non-standardisation of technical English. In order to fulfil these objectives, we analysed a corpus of fifty scientific articles written by native speakers of English and fifty scientific articles written by non-native speakers of English. The occurrences were classified and counted in order to detect the most common variations. Further analysis indicated that the variations were caused by mother tongue interference in virtually all cases, although meaning was only very rarely obscured. These findings suggest that the use of certain patterns and expressions originating from L1 interference should be considered as correct as standard English.La comunidad científica considera al inglés técnico como un tipo de lenguaje neutral y objetivo, capaz de transmitir ideas y hallazgos en frases simples y vocabulario reconocido por los especialistas de ese campo. Sin embargo, la comunicación global y el

Knowledge based word-concept model estimation and refinement for biomedical text mining.

Science.gov (United States)

Jimeno Yepes, Antonio; Berlanga, Rafael

2015-02-01

Text mining of scientific literature has been essential for setting up large public biomedical databases, which are being widely used by the research community. In the biomedical domain, the existence of a large number of terminological resources and knowledge bases (KB) has enabled a myriad of machine learning methods for different text mining related tasks. Unfortunately, KBs have not been devised for text mining tasks but for human interpretation, thus performance of KB-based methods is usually lower when compared to supervised machine learning methods. The disadvantage of supervised methods though is they require labeled training data and therefore not useful for large scale biomedical text mining systems. KB-based methods do not have this limitation. In this paper, we describe a novel method to generate word-concept probabilities from a KB, which can serve as a basis for several text mining tasks. This method not only takes into account the underlying patterns within the descriptions contained in the KB but also those in texts available from large unlabeled corpora such as MEDLINE. The parameters of the model have been estimated without training data. Patterns from MEDLINE have been built using MetaMap for entity recognition and related using co-occurrences. The word-concept probabilities were evaluated on the task of word sense disambiguation (WSD). The results showed that our method obtained a higher degree of accuracy than other state-of-the-art approaches when evaluated on the MSH WSD data set. We also evaluated our method on the task of document ranking using MEDLINE citations. These results also showed an increase in performance over existing baseline retrieval approaches. Copyright © 2014 Elsevier Inc. All rights reserved.

Progestogen treatments for cycle management in a sheep model of assisted conception affect the growth patterns, the expression of luteinizing hormone receptors, and the progesterone secretion of induced corpora lutea.

Science.gov (United States)

Letelier, Claudia; García-Fernández, Rosa Ana; Contreras-Solis, Ignacio; Sanchez, María Angeles; Garcia-Palencia, Pilar; Sanchez, Belen; Gonzalez-Bulnes, Antonio; Flores, Juana María

2010-03-01

To determine, in a sheep model, the effect of a short-term progestative treatment on growth dynamics and functionality of induced corpora lutea. Observational, model study. Public university. Sixty adult female sheep. Synchronization and induction of ovulation with progestogens and prostaglandin analogues; ovarian ultrasonography, blood sampling, and ovariectomy. Determination of pituitary function and morphologic characteristics, expression of luteinizing hormone (LH) receptors, and progesterone secretion of corpora lutea. The use of progestative pretreatments for assisted conception affect the growth patterns, the expression of LH receptors, and the progesterone secretion of induced corpora lutea. The current study indicates, in a sheep model, the existence of deleterious effects from progestogens on functionality of induced corpora lutea. Copyright 2010 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Megastudies, crowdsourcing, and large datasets in psycholinguistics: An overview of recent developments.

Science.gov (United States)

Keuleers, Emmanuel; Balota, David A

2015-01-01

This paper introduces and summarizes the special issue on megastudies, crowdsourcing, and large datasets in psycholinguistics. We provide a brief historical overview and show how the papers in this issue have extended the field by compiling new databases and making important theoretical contributions. In addition, we discuss several studies that use text corpora to build distributional semantic models to tackle various interesting problems in psycholinguistics. Finally, as is the case across the papers, we highlight some methodological issues that are brought forth via the analyses of such datasets.

Reshaping Text Data for Efficient Processing on Amazon EC2

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Gabriela Turcu

2011-01-01

Full Text Available Text analysis tools are nowadays required to process increasingly large corpora which are often organized as small files (abstracts, news articles, etc.. Cloud computing offers a convenient, on-demand, pay-as-you-go computing environment for solving such problems. We investigate provisioning on the Amazon EC2 cloud from the user perspective, attempting to provide a scheduling strategy that is both timely and cost effective. We derive an execution plan using an empirically determined application performance model. A first goal of our performance measurements is to determine an optimal file size for our application to consume. Using the subset-sum first fit heuristic we reshape the input data by merging files in order to match as closely as possible the desired file size. This also speeds up the task of retrieving the results of our application, by having the output be less segmented. Using predictions of the performance of our application based on measurements on small data sets, we devise an execution plan that meets a user specified deadline while minimizing cost.

Blood transfusion and resuscitation using penile corpora: an experimental study.

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Abolyosr, Ahmad; Sayed, M A; Elanany, Fathy; Smeika, M A; Shaker, S E

2005-10-01

To test the feasibility of using the penile corpora cavernosa for blood transfusion and resuscitation purposes. Three male donkeys were used for autologous blood transfusion into the corpus cavernosum during three sessions with a 1-week interval between each. Two blood units (450 mL each) were transfused per session to each donkey. Moreover, three dogs were bled up until a state of shock was produced. The mean arterial blood pressure decreased to 60 mm Hg. The withdrawn blood (mean volume 396.3 mL) was transfused back into their corpora cavernosa under 150 mm Hg pressure. Different transfusion parameters were assessed. The Assiut faculty of medicine ethical committee approved the study before its initiation. For the donkey model, the mean time of blood collection was 12 minutes. The mean time needed to establish corporal access was 22 seconds. The mean time of blood transfusion was 14.2 minutes. The mean rate of blood transfusion was 31.7 mL/min. Mild penile elongation with or without mild penile tumescence was observed on four occasions. All penile shafts returned spontaneously to their pretransfusion state at a maximum of 5 minutes after cessation of blood transfusion. No extravasation, hematoma formation, or color changes occurred. Regarding the dog model, the mean rate of transfusion was 35.2 mL/min. All dogs were resuscitated at the end of the transfusion. The corpus cavernosum is a feasible, simple, rapid, and effective alternative route for blood transfusion and venous access. It can be resorted to whenever necessary. It is a reliable means for volume replacement and resuscitation in males.

Computing Pathways in Bio-Models Derived from Bio-Science Text Sources

DEFF Research Database (Denmark)

Andreasen, Troels; Bulskov, Henrik; Nilsson, Jørgen Fischer

2015-01-01

This paper outlines a system, OntoScape, serving to accomplish complex inference tasks on knowledge bases and bio-models derived from life-science text corpora. The system applies so-called natural logic, a form of logic which is readable for humans. This logic affords ontological representations...... of complex terms appearing in the text sources. Along with logical propositions, the system applies a semantic graph representation facilitating calculation of bio-pathways. More generally, the system aords means of query answering appealing to general and domain specic inference rules....

ONTOGRABBING: Extracting Information from Texts Using Generative Ontologies

DEFF Research Database (Denmark)

Nilsson, Jørgen Fischer; Szymczak, Bartlomiej Antoni; Jensen, P.A.

2009-01-01

We describe principles for extracting information from texts using a so-called generative ontology in combination with syntactic analysis. Generative ontologies are introduced as semantic domains for natural language phrases. Generative ontologies extend ordinary finite ontologies with rules...... for producing recursively shaped terms representing the ontological content (ontological semantics) of NL noun phrases and other phrases. We focus here on achieving a robust, often only partial, ontology-driven parsing of and ascription of semantics to a sentence in the text corpus. The aim of the ontological...... analysis is primarily to identify paraphrases, thereby achieving a search functionality beyond mere keyword search with synsets. We further envisage use of the generative ontology as a phrase-based rather than word-based browser into text corpora....

CUILESS2016: a clinical corpus applying compositional normalization of text mentions.

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Osborne, John D; Neu, Matthew B; Danila, Maria I; Solorio, Thamar; Bethard, Steven J

2018-01-10

Traditionally text mention normalization corpora have normalized concepts to single ontology identifiers ("pre-coordinated concepts"). Less frequently, normalization corpora have used concepts with multiple identifiers ("post-coordinated concepts") but the additional identifiers have been restricted to a defined set of relationships to the core concept. This approach limits the ability of the normalization process to express semantic meaning. We generated a freely available corpus using post-coordinated concepts without a defined set of relationships that we term "compositional concepts" to evaluate their use in clinical text. We annotated 5397 disorder mentions from the ShARe corpus to SNOMED CT that were previously normalized as "CUI-less" in the "SemEval-2015 Task 14" shared task because they lacked a pre-coordinated mapping. Unlike the previous normalization method, we do not restrict concept mappings to a particular set of the Unified Medical Language System (UMLS) semantic types and allow normalization to occur to multiple UMLS Concept Unique Identifiers (CUIs). We computed annotator agreement and assessed semantic coverage with this method. We generated the largest clinical text normalization corpus to date with mappings to multiple identifiers and made it freely available. All but 8 of the 5397 disorder mentions were normalized using this methodology. Annotator agreement ranged from 52.4% using the strictest metric (exact matching) to 78.2% using a hierarchical agreement that measures the overlap of shared ancestral nodes. Our results provide evidence that compositional concepts can increase semantic coverage in clinical text. To our knowledge we provide the first freely available corpus of compositional concept annotation in clinical text.

Biomechanically Preferred Consonant-Vowel Combinations Fail to Appear in Adult Spoken Corpora

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Whalen, D. H.; Giulivi, Sara; Nam, Hosung; Levitt, Andrea G.; Hallé, Pierre; Goldstein, Louis M.

2012-01-01

Certain consonant/vowel (CV) combinations are more frequent than would be expected from the individual C and V frequencies alone, both in babbling and, to a lesser extent, in adult language, based on dictionary counts: Labial consonants co-occur with central vowels more often than chance would dictate; coronals co-occur with front vowels, and velars with back vowels (Davis & MacNeilage, 1994). Plausible biomechanical explanations have been proposed, but it is also possible that infants are mirroring the frequency of the CVs that they hear. As noted, previous assessments of adult language were based on dictionaries; these “type” counts are incommensurate with the babbling measures, which are necessarily “token” counts. We analyzed the tokens in two spoken corpora for English, two for French and one for Mandarin. We found that the adult spoken CV preferences correlated with the type counts for Mandarin and French, not for English. Correlations between the adult spoken corpora and the babbling results had all three possible outcomes: significantly positive (French), uncorrelated (Mandarin), and significantly negative (English). There were no correlations of the dictionary data with the babbling results when we consider all nine combinations of consonants and vowels. The results indicate that spoken frequencies of CV combinations can differ from dictionary (type) counts and that the CV preferences apparent in babbling are biomechanically driven and can ignore the frequencies of CVs in the ambient spoken language. PMID:23420980

Dynamic Penile Corpora Cavernosa Reconstruction Using Bilateral Innervated Gracilis Muscles: A Preclinical Investigation.

Science.gov (United States)

Yin, Zhuming; Liu, Liqiang; Xue, Bingjian; Fan, Jincai; Chen, Wenlin; Liu, Zheng

2018-03-07

Prosthesis-assisted penile reconstruction has been performed extensively to restore a cosmetically acceptable phallus. However, a large number of patients will undergo revision surgery for various prosthesis-related complications. To develop a 1-stage prosthesis-free dynamic cavernosa reconstruction method using bilateral innervated gracilis muscles and to investigate the feasibility and reliability of the surgical design. 10 fresh cadavers were dissected to assess the availability of bilateral gracilis muscles for functional cavernosa rebuilding. 11 mongrel female dogs were involved in the penile reconstruction surgery. The neophallus consisted of bilateral gracilis muscles as the neo-cavernosa, a right gracilis skin flap as the neourethra, and a lower abdominal flap with an anterior rectus sheath as the skin envelope and neo-tunica albuginea. The function and structure of the neo-phalli were assessed 7 months postoperatively. The neurovascular pedicle length of the gracilis muscles and the volume of the gracilis venter musculi were measured in the cadaveric investigation. The average dimensions of the canine neo-phalli at rest and during electrostimulated erection were obtained and the muscular fatigue-resistant curve was drawn. Histologic evaluations also were performed. The neurovascular pedicle length and volume of the gracilis muscles were sufficient to yield a nearly normal appearance of the neo-cavernosa in the cadaveric and animal studies. The muscular fatigue-resistant curve demonstrated adequate length, stiffness, and duration of erection of the neo-phalli to accomplish normal coitus. Histologic evaluations showed an intact neourethra and nearly normal muscle structure in the inner layer of the canine neo-cavernosa, except for significantly increased amount of collagen fibers and type I/III collagen ratio in the outer layer of the neo-cavernosa. The percentage of type II (fatigue-prone) muscle fibers did not change significantly. Our preclinical

(Text) Mining the LANDscape: Themes and Trends over 40 years of Landscape and Urban Planning

Science.gov (United States)

Paul H. Gobster

2014-01-01

In commemoration of the journal's 40th anniversary, the co-editor explores themes and trends covered by Landscape and Urban Planning and its parent journals through a qualitative comparison of co-occurrence term maps generated from the text corpora of its abstracts across the four decadal periods of publication.Cluster maps generated from the...

Adapting computational text analysis to social science (and vice versa

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Paul DiMaggio

2015-11-01

Full Text Available Social scientists and computer scientist are divided by small differences in perspective and not by any significant disciplinary divide. In the field of text analysis, several such differences are noted: social scientists often use unsupervised models to explore corpora, whereas many computer scientists employ supervised models to train data; social scientists hold to more conventional causal notions than do most computer scientists, and often favor intense exploitation of existing algorithms, whereas computer scientists focus more on developing new models; and computer scientists tend to trust human judgment more than social scientists do. These differences have implications that potentially can improve the practice of social science.

Creazione e sviluppo di corpora multimediali. Nuove metodologie di ricerca nella traduzione audiovisiva

OpenAIRE

Valentini, Cristina

2009-01-01

The construction and use of multimedia corpora has been advocated for a while in the literature as one of the expected future application fields of Corpus Linguistics. This research project represents a pioneering experience aimed at applying a data-driven methodology to the study of the field of AVT, similarly to what has been done in the last few decades in the macro-field of Translation Studies. This research was based on the experience of Forlixt 1, the Forlì Corpus of Screen Translation,...

Specification of Drosophila corpora cardiaca neuroendocrine cells from mesoderm is regulated by Notch signaling.

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Sangbin Park

2011-08-01

Full Text Available Drosophila neuroendocrine cells comprising the corpora cardiaca (CC are essential for systemic glucose regulation and represent functional orthologues of vertebrate pancreatic α-cells. Although Drosophila CC cells have been regarded as developmental orthologues of pituitary gland, the genetic regulation of CC development is poorly understood. From a genetic screen, we identified multiple novel regulators of CC development, including Notch signaling factors. Our studies demonstrate that the disruption of Notch signaling can lead to the expansion of CC cells. Live imaging demonstrates localized emergence of extra precursor cells as the basis of CC expansion in Notch mutants. Contrary to a recent report, we unexpectedly found that CC cells originate from head mesoderm. We show that Tinman expression in head mesoderm is regulated by Notch signaling and that the combination of Daughterless and Tinman is sufficient for ectopic CC specification in mesoderm. Understanding the cellular, genetic, signaling, and transcriptional basis of CC cell specification and expansion should accelerate discovery of molecular mechanisms regulating ontogeny of organs that control metabolism.

Blending research methods: Qualitative and quantitative approaches to researching computer corpora for language learning.

OpenAIRE

Boulton , Alex

2011-01-01

International audience; This paper outlines how corpora (in printed, electronic or multi-modal form) can be used in language learning, an area often referred to as "data-driven learning" or DDL (Johns 1991). The alleged advantages are numerous, but are in need of empirical support which is frequently claimed to be lacking in the field. However, over 80 studies have so far attempted to evaluate some aspect of corpus use by non-native speakers (Boulton 2010): these are briefly reviewed as a who...

From university research to innovation: Detecting knowledge transfer via text mining

Energy Technology Data Exchange (ETDEWEB)

Woltmann, S.; Clemmensen, L.; Alkærsig, L

2016-07-01

Knowledge transfer by universities is a top priority in innovation policy and a primary purpose for public research funding, due to being an important driver of technical change and innovation. Current empirical research on the impact of university research relies mainly on formal databases and indicators such as patents, collaborative publications and license agreements, to assess the contribution to the socioeconomic surrounding of universities. In this study, we present an extension of the current empirical framework by applying new computational methods, namely text mining and pattern recognition. Text samples for this purpose can include files containing social media contents, company websites and annual reports. The empirical focus in the present study is on the technical sciences and in particular on the case of the Technical University of Denmark (DTU). We generated two independent text collections (corpora) to identify correlations of university publications and company webpages. One corpus representing the company sites, serving as sample of the private economy and a second corpus, providing the reference to the university research, containing relevant publications. We associated the former with the latter to obtain insights into possible text and semantic relatedness. The text mining methods are extrapolating the correlations, semantic patterns and content comparison of the two corpora to define the document relatedness. We expect the development of a novel tool using contemporary techniques for the measurement of public research impact. The approach aims to be applicable across universities and thus enable a more holistic comparable assessment. This rely less on formal databases, which is certainly beneficial in terms of the data reliability. We seek to provide a supplementary perspective for the detection of the dissemination of university research and hereby enable policy makers to gain additional insights of (informal) contributions of knowledge

Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.

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Anika Oellrich

Full Text Available Electronic health records and scientific articles possess differing linguistic characteristics that may impact the performance of natural language processing tools developed for one or the other. In this paper, we investigate the performance of four extant concept recognition tools: the clinical Text Analysis and Knowledge Extraction System (cTAKES, the National Center for Biomedical Ontology (NCBO Annotator, the Biomedical Concept Annotation System (BeCAS and MetaMap. Each of the four concept recognition systems is applied to four different corpora: the i2b2 corpus of clinical documents, a PubMed corpus of Medline abstracts, a clinical trails corpus and the ShARe/CLEF corpus. In addition, we assess the individual system performances with respect to one gold standard annotation set, available for the ShARe/CLEF corpus. Furthermore, we built a silver standard annotation set from the individual systems' output and assess the quality as well as the contribution of individual systems to the quality of the silver standard. Our results demonstrate that mainly the NCBO annotator and cTAKES contribute to the silver standard corpora (F1-measures in the range of 21% to 74% and their quality (best F1-measure of 33%, independent from the type of text investigated. While BeCAS and MetaMap can contribute to the precision of silver standard annotations (precision of up to 42%, the F1-measure drops when combined with NCBO Annotator and cTAKES due to a low recall. In conclusion, the performances of individual systems need to be improved independently from the text types, and the leveraging strategies to best take advantage of individual systems' annotations need to be revised. The textual content of the PubMed corpus, accession numbers for the clinical trials corpus, and assigned annotations of the four concept recognition systems as well as the generated silver standard annotation sets are available from http://purl.org/phenotype/resources. The textual content

PEDANT: Parallel Texts in Göteborg

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Daniel Ridings

2012-09-01

Full Text Available

The article presents the status of the PEDANT project with parallel corpora at the Language Bank at Göteborg University. The solutions for access to the corpus data are presented. Access is provided by way of the internet and standard applications and SGML-aware programming tools. The SGML format for encoding translation pairs is outlined together. The methods allow working with everything from plain text to texts densely encoded with linguistic information.

In hierdie artikel word 'n beskrywing gegee van die stand van die PEDANT-projek met parallelle korpora by die Taalbank by die Universiteit van Göteborg. Oplossings vir die verkryging van toegang tot die korpusdata word aangedui. Toegang word verskaf deur middel van die Internet en standaardtoepassings en SGML-sensitiewe programmeringshulpmiddels. Die SGML-formaat vir die enkodering van vertaalpare word gesamentlik geskets. Hierdie metodes laat toe dat gewerk kan word met enigiets vanaf suiwer teks tot tekste wat taalkundig dig geëtiketteer is.

From university research to innovation Detecting knowledge transfer via text mining

DEFF Research Database (Denmark)

Woltmann, Sabrina; Clemmensen, Line Katrine Harder; Alkærsig, Lars

2016-01-01

and indicators such as patents, collaborative publications and license agreements, to assess the contribution to the socioeconomic surrounding of universities. In this study, we present an extension of the current empirical framework by applying new computational methods, namely text mining and pattern...... associated the former with the latter to obtain insights into possible text and semantic relatedness. The text mining methods are extrapolating the correlations, semantic patterns and content comparison of the two corpora to define the document relatedness. We expect the development of a novel tool using...... recognition. Text samples for this purpose can include files containing social media contents, company websites and annual reports. The empirical focus in the present study is on the technical sciences and in particular on the case of the Technical University of Denmark (DTU). We generated two independent...

Comparative metabolism of branched-chain amino acids to precursors of juvenile hormone biogenesis in corpora allata of lepidopterous versus nonlepidopterous insects

Energy Technology Data Exchange (ETDEWEB)

Brindle, P.A.; Schooley, D.A.; Tsai, L.W.; Baker, F.C.

1988-08-05

Comparative studies were performed on the role of branched-chain amino acids (BCAA) in juvenile hormone (JH) biosynthesis using several lepidopterous and nonlepidopterous insects. Corpora cardiaca-corpora allata complexes (CC-CA, the corpora allata being the organ of JH biogenesis) were maintained in culture medium containing a uniformly /sup 14/C-labeled BCAA, together with (methyl-/sup 3/H)methionine as mass marker for JH quantification. BCAA catabolism was quantified by directly analyzing the medium for the presence of /sup 14/C-labeled propionate and/or acetate, while JHs were extracted, purified by liquid chromatography, and subjected to double-label liquid scintillation counting. Our results indicate that active BCAA catabolism occurs within the CC-CA of lepidopterans, and this efficiently provides propionyl-CoA (from isoleucine or valine) for the biosynthesis of the ethyl branches of JH I and II. Acetyl-CoA, formed from isoleucine or leucine catabolism, is also utilized by lepidopteran CC-CA for biosynthesizing JH III and the acetate-derived portions of the ethyl-branched JHs. In contrast, CC-CA of nonlepidopterans fail to catabolize BCAA. Consequently, exogenous isoleucine or leucine does not serve as a carbon source for the biosynthesis of JH III by these glands, and no propionyl-CoA is produced for genesis of ethyl-branched JHs. This is the first observation of a tissue-specific metabolic difference which in part explains why these novel homosesquiterpenoids exist in lepidopterans, but not in nonlepidopterans.

Comparative metabolism of branched-chain amino acids to precursors of juvenile hormone biogenesis in corpora allata of lepidopterous versus nonlepidopterous insects

International Nuclear Information System (INIS)

Brindle, P.A.; Schooley, D.A.; Tsai, L.W.; Baker, F.C.

1988-01-01

Comparative studies were performed on the role of branched-chain amino acids (BCAA) in juvenile hormone (JH) biosynthesis using several lepidopterous and nonlepidopterous insects. Corpora cardiaca-corpora allata complexes (CC-CA, the corpora allata being the organ of JH biogenesis) were maintained in culture medium containing a uniformly 14 C-labeled BCAA, together with [methyl- 3 H]methionine as mass marker for JH quantification. BCAA catabolism was quantified by directly analyzing the medium for the presence of 14 C-labeled propionate and/or acetate, while JHs were extracted, purified by liquid chromatography, and subjected to double-label liquid scintillation counting. Our results indicate that active BCAA catabolism occurs within the CC-CA of lepidopterans, and this efficiently provides propionyl-CoA (from isoleucine or valine) for the biosynthesis of the ethyl branches of JH I and II. Acetyl-CoA, formed from isoleucine or leucine catabolism, is also utilized by lepidopteran CC-CA for biosynthesizing JH III and the acetate-derived portions of the ethyl-branched JHs. In contrast, CC-CA of nonlepidopterans fail to catabolize BCAA. Consequently, exogenous isoleucine or leucine does not serve as a carbon source for the biosynthesis of JH III by these glands, and no propionyl-CoA is produced for genesis of ethyl-branched JHs. This is the first observation of a tissue-specific metabolic difference which in part explains why these novel homosesquiterpenoids exist in lepidopterans, but not in nonlepidopterans

Poder e identidade grupal: um estudo em corporações musicais da região das vertentes

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Marcos Vieira-Silva

2013-01-01

Full Text Available A investigação produzida buscou compreender a constituição histórica das formações identitárias e suas articulações com as relações de poder, no desempenho das atividades cotidianas de três corporações musicais mineiras. Percebeu-se que o processo identitário dos músicos é permeado pelo prestígio e valor que a tradição musical imprime na região. As diferenciações na produção de identidades individuais e coletivas podem exercer influências nas relações de poder inter e intragrupais. Também, as diversas formas de estabelecimento das relações de poder entre os agentes exercem influências no desenvolvimento do processo grupal e na atividade musical. Atividade, esta, que legitima tanto as identidades coletivas quanto as individuais, mantendo a vida musical da Região das Vertentes viva e intensa através dos tempos.

Symbolic Machine Learning: A Different Answer to the Problem of the Acquisition of Lexical Knowledge from Corpora

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Pascale Sébillot

2008-07-01

Full Text Available One relevant way to structure the domain of lexical knowledge (e.g. relations between lexical units acquisition from corpora is to oppose numerical versus symbolic techniques. Numerical approaches of acquisition exploit the frequential aspect of data, have been widely used, and produce portable systems, but poor explanations of their results. Symbolic approaches exploit the structural aspect of data. Among them, the symbolic machine learning (ML techniques can infer efficient and expressive patterns of a target relation from examples of elements that verify this relation. These methods are however far less known, and the aim of this paper is to point out their interest through the description of one precise experiment. To remove their supervised characteristic, and instead of opposing them to numerical approaches, we finally show that it is possible to combine one symbolic ML technique to one numerical one, and keep advantages of both (meaningful patterns, efficient extraction, portability.

Probing the statistical properties of unknown texts: application to the Voynich Manuscript.

Science.gov (United States)

Amancio, Diego R; Altmann, Eduardo G; Rybski, Diego; Oliveira, Osvaldo N; Costa, Luciano da F

2013-01-01

While the use of statistical physics methods to analyze large corpora has been useful to unveil many patterns in texts, no comprehensive investigation has been performed on the interdependence between syntactic and semantic factors. In this study we propose a framework for determining whether a text (e.g., written in an unknown alphabet) is compatible with a natural language and to which language it could belong. The approach is based on three types of statistical measurements, i.e. obtained from first-order statistics of word properties in a text, from the topology of complex networks representing texts, and from intermittency concepts where text is treated as a time series. Comparative experiments were performed with the New Testament in 15 different languages and with distinct books in English and Portuguese in order to quantify the dependency of the different measurements on the language and on the story being told in the book. The metrics found to be informative in distinguishing real texts from their shuffled versions include assortativity, degree and selectivity of words. As an illustration, we analyze an undeciphered medieval manuscript known as the Voynich Manuscript. We show that it is mostly compatible with natural languages and incompatible with random texts. We also obtain candidates for keywords of the Voynich Manuscript which could be helpful in the effort of deciphering it. Because we were able to identify statistical measurements that are more dependent on the syntax than on the semantics, the framework may also serve for text analysis in language-dependent applications.

Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.

Science.gov (United States)

Oellrich, Anika; Collier, Nigel; Smedley, Damian; Groza, Tudor

2015-01-01

Electronic health records and scientific articles possess differing linguistic characteristics that may impact the performance of natural language processing tools developed for one or the other. In this paper, we investigate the performance of four extant concept recognition tools: the clinical Text Analysis and Knowledge Extraction System (cTAKES), the National Center for Biomedical Ontology (NCBO) Annotator, the Biomedical Concept Annotation System (BeCAS) and MetaMap. Each of the four concept recognition systems is applied to four different corpora: the i2b2 corpus of clinical documents, a PubMed corpus of Medline abstracts, a clinical trails corpus and the ShARe/CLEF corpus. In addition, we assess the individual system performances with respect to one gold standard annotation set, available for the ShARe/CLEF corpus. Furthermore, we built a silver standard annotation set from the individual systems' output and assess the quality as well as the contribution of individual systems to the quality of the silver standard. Our results demonstrate that mainly the NCBO annotator and cTAKES contribute to the silver standard corpora (F1-measures in the range of 21% to 74%) and their quality (best F1-measure of 33%), independent from the type of text investigated. While BeCAS and MetaMap can contribute to the precision of silver standard annotations (precision of up to 42%), the F1-measure drops when combined with NCBO Annotator and cTAKES due to a low recall. In conclusion, the performances of individual systems need to be improved independently from the text types, and the leveraging strategies to best take advantage of individual systems' annotations need to be revised. The textual content of the PubMed corpus, accession numbers for the clinical trials corpus, and assigned annotations of the four concept recognition systems as well as the generated silver standard annotation sets are available from http://purl.org/phenotype/resources. The textual content of the Sh

Chapter 16: text mining for translational bioinformatics.

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Cohen, K Bretonnel; Hunter, Lawrence E

2013-04-01

Text mining for translational bioinformatics is a new field with tremendous research potential. It is a subfield of biomedical natural language processing that concerns itself directly with the problem of relating basic biomedical research to clinical practice, and vice versa. Applications of text mining fall both into the category of T1 translational research-translating basic science results into new interventions-and T2 translational research, or translational research for public health. Potential use cases include better phenotyping of research subjects, and pharmacogenomic research. A variety of methods for evaluating text mining applications exist, including corpora, structured test suites, and post hoc judging. Two basic principles of linguistic structure are relevant for building text mining applications. One is that linguistic structure consists of multiple levels. The other is that every level of linguistic structure is characterized by ambiguity. There are two basic approaches to text mining: rule-based, also known as knowledge-based; and machine-learning-based, also known as statistical. Many systems are hybrids of the two approaches. Shared tasks have had a strong effect on the direction of the field. Like all translational bioinformatics software, text mining software for translational bioinformatics can be considered health-critical and should be subject to the strictest standards of quality assurance and software testing.

Text mining, a race against time? An attempt to quantify possible variations in text corpora of medical publications throughout the years.

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Wagner, Mathias; Vicinus, Benjamin; Muthra, Sherieda T; Richards, Tereza A; Linder, Roland; Frick, Vilma Oliveira; Groh, Andreas; Rubie, Claudia; Weichert, Frank

2016-06-01

The continuous growth of medical sciences literature indicates the need for automated text analysis. Scientific writing which is neither unitary, transcending social situation nor defined by a timeless idea is subject to constant change as it develops in response to evolving knowledge, aims at different goals, and embodies different assumptions about nature and communication. The objective of this study was to evaluate whether publication dates should be considered when performing text mining. A search of PUBMED for combined references to chemokine identifiers and particular cancer related terms was conducted to detect changes over the past 36 years. Text analyses were performed using freeware available from the World Wide Web. TOEFL Scores of territories hosting institutional affiliations as well as various readability indices were investigated. Further assessment was conducted using Principal Component Analysis. Laboratory examination was performed to evaluate the quality of attempts to extract content from the examined linguistic features. The PUBMED search yielded a total of 14,420 abstracts (3,190,219 words). The range of findings in laboratory experimentation were coherent with the variability of the results described in the analyzed body of literature. Increased concurrence of chemokine identifiers together with cancer related terms was found at the abstract and sentence level, whereas complexity of sentences remained fairly stable. The findings of the present study indicate that concurrent references to chemokines and cancer increased over time whereas text complexity remained stable. Copyright © 2016 Elsevier Ltd. All rights reserved.

HUBUNGAN ANTARA STATUS GIZI DAN TINGKAT KEBUGARAN JASMANI DENGAN PRODUKTIVITAS KERJA PADA TENAGA KERJA WANITA UNIT SPINNING 1 BAGIAN WINDING PT. APAC INTI CORPORA BAWEN

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Sri Rahayu Utami

2014-10-01

Full Text Available Tujuan penelitian ini untuk mengetahui hubungan antara status gizi dan tingkat kebugaran jasmani dengan produktivitas kerja pada tenaga kerja wanita unit Spinning 1 bagian Winding PT. Apac Inti Corpora Bawen. Jenis penelitian menggunakan explanatory research dengan pendekatan cross sectional. Populasi berjumlah 73 orang dengan sampel 45 orang. Pengambilan sampel menggunakan metode simple random sampling. Instrument yang digunakan adalah timbangan berat badan dan tinggi badan, bangku harvard, metronome, stopwatch dan lembar data produktivitas. Analisis data menggunakan uji Chi-Square dengan α = 0,05. Dan didapatkan hasil bahwa ada hubungan antara status gizi (p=0,005, tingkat kebugaran jasmani (p=0,001 dengan produktivitas kerja. Melalui penelitian ini diharapkan pekerja dapat mengkonsumsi makanan yang mengandung gizi seimbang ,serta melakukan olahraga untuk meningkatkan kebugaran jasmaninya. The purpose of this research to determine the relationship between nutritional status and level of physical fitness by working on labor productivity women Spinning unit 1 part Winding PT. Apac Inti Corpora Bawen. This research was explanatory research with cross sectional approach. Population was a 73 employees. And sample was 45 employees. Instrument was a weight scales and height, harvard bench, metronome, stopwatch and productivity data sheet. Was processed, using the Chi-Square statistic with α = 0.05. The results was a relationship between nutritional status (p = 0.005, level of physical fitness (p = 0.001 with labor productivity. This research will expect workers to consume foods that contain balanced nutrition and exercise to improve physical fitness.

Event-based text mining for biology and functional genomics

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Thompson, Paul; Nawaz, Raheel; McNaught, John; Kell, Douglas B.

2015-01-01

The assessment of genome function requires a mapping between genome-derived entities and biochemical reactions, and the biomedical literature represents a rich source of information about reactions between biological components. However, the increasingly rapid growth in the volume of literature provides both a challenge and an opportunity for researchers to isolate information about reactions of interest in a timely and efficient manner. In response, recent text mining research in the biology domain has been largely focused on the identification and extraction of ‘events’, i.e. categorised, structured representations of relationships between biochemical entities, from the literature. Functional genomics analyses necessarily encompass events as so defined. Automatic event extraction systems facilitate the development of sophisticated semantic search applications, allowing researchers to formulate structured queries over extracted events, so as to specify the exact types of reactions to be retrieved. This article provides an overview of recent research into event extraction. We cover annotated corpora on which systems are trained, systems that achieve state-of-the-art performance and details of the community shared tasks that have been instrumental in increasing the quality, coverage and scalability of recent systems. Finally, several concrete applications of event extraction are covered, together with emerging directions of research. PMID:24907365

Overfitting Reduction of Text Classification Based on AdaBELM

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Xiaoyue Feng

2017-07-01

Full Text Available Overfitting is an important problem in machine learning. Several algorithms, such as the extreme learning machine (ELM, suffer from this issue when facing high-dimensional sparse data, e.g., in text classification. One common issue is that the extent of overfitting is not well quantified. In this paper, we propose a quantitative measure of overfitting referred to as the rate of overfitting (RO and a novel model, named AdaBELM, to reduce the overfitting. With RO, the overfitting problem can be quantitatively measured and identified. The newly proposed model can achieve high performance on multi-class text classification. To evaluate the generalizability of the new model, we designed experiments based on three datasets, i.e., the 20 Newsgroups, Reuters-21578, and BioMed corpora, which represent balanced, unbalanced, and real application data, respectively. Experiment results demonstrate that AdaBELM can reduce overfitting and outperform classical ELM, decision tree, random forests, and AdaBoost on all three text-classification datasets; for example, it can achieve 62.2% higher accuracy than ELM. Therefore, the proposed model has a good generalizability.

Utilité du partage des corpus pour l'analyse des interactions en ligne en situation d'apprentissage : un exemple d'approche méthodologique autour d'une base de corpus d'apprentissage Benefits of Sharing Corpora when Analyzing Online Interactions: an Example of Methodology Related to a Databank of Learning and Teaching Corpora.

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Maud Ciekanski

2010-12-01

Full Text Available La recherche sur les interactions en ligne en situation d'apprentissage offre encore trop peu souvent la possibilité d'accéder aux données à partir desquelles les chercheurs ont élaboré les analyses présentées dans les publications. Cela restreint, d'une part, la compréhension des phénomènes étudiés et, d'autre part, empêche toute réplication dans le but de comparaisons, d'analyses cumulatives ou contrastives. Dans le projet Mulce, nous défendons le point de vue méthodologique suivant : pour permettre une analyse des interactions situées, il convient de relier les différentes données issues de formations en ligne pour construire un objet d'analyse exploitable par différentes équipes et disciplines. Le constat actuel est que les données sont souvent décontextualisées, parcellaires ou simplement inaccessibles à la communauté des chercheurs. Nous proposons donc de structurer les données en corpus d'apprentissage (Letec de façon à rendre possible leur échange et la capitalisation des analyses. Le protocole de recherche, le scénario pédagogique, les interactions, productions et traces, les licences et les analyses capitalisables en sont les constituants. Cet article présente, dans un premier temps, les questionnements, à la fois théoriques, techniques et méthodologiques soulevés par la conception d'un tel projet. Dans un deuxième temps, nous illustrerons notre démarche à partir d'exemples issus des formations Simuligne et Copéas, en indiquant les processus simples de transformation du format Mulce aux formats requis par deux logiciels d'aide à l'analyse (l'un sur les forums, l'autre sur l'alignement entre vidéo et transcription. Nous insistons plus particulièrement sur l'intérêt de ces outils pour l'analyse des phénomènes de polyfocalisation et d'écriture multimodale dans l'analyse des interactions multimodales, caractéristiques des environnements d'apprentissage en ligne. Nous conclurons notre

Juvenile hormone biosynthesis gene expression in the corpora allata of honey bee (Apis mellifera L.) female castes.

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Bomtorin, Ana Durvalina; Mackert, Aline; Rosa, Gustavo Conrado Couto; Moda, Livia Maria; Martins, Juliana Ramos; Bitondi, Márcia Maria Gentile; Hartfelder, Klaus; Simões, Zilá Luz Paulino

2014-01-01

Juvenile hormone (JH) controls key events in the honey bee life cycle, viz. caste development and age polyethism. We quantified transcript abundance of 24 genes involved in the JH biosynthetic pathway in the corpora allata-corpora cardiaca (CA-CC) complex. The expression of six of these genes showing relatively high transcript abundance was contrasted with CA size, hemolymph JH titer, as well as JH degradation rates and JH esterase (jhe) transcript levels. Gene expression did not match the contrasting JH titers in queen and worker fourth instar larvae, but jhe transcript abundance and JH degradation rates were significantly lower in queen larvae. Consequently, transcriptional control of JHE is of importance in regulating larval JH titers and caste development. In contrast, the same analyses applied to adult worker bees allowed us inferring that the high JH levels in foragers are due to increased JH synthesis. Upon RNAi-mediated silencing of the methyl farnesoate epoxidase gene (mfe) encoding the enzyme that catalyzes methyl farnesoate-to-JH conversion, the JH titer was decreased, thus corroborating that JH titer regulation in adult honey bees depends on this final JH biosynthesis step. The molecular pathway differences underlying JH titer regulation in larval caste development versus adult age polyethism lead us to propose that mfe and jhe genes be assayed when addressing questions on the role(s) of JH in social evolution.

Building an ontology of pulmonary diseases with natural language processing tools using textual corpora.

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Baneyx, Audrey; Charlet, Jean; Jaulent, Marie-Christine

2007-01-01

Pathologies and acts are classified in thesauri to help physicians to code their activity. In practice, the use of thesauri is not sufficient to reduce variability in coding and thesauri are not suitable for computer processing. We think the automation of the coding task requires a conceptual modeling of medical items: an ontology. Our task is to help lung specialists code acts and diagnoses with software that represents medical knowledge of this concerned specialty by an ontology. The objective of the reported work was to build an ontology of pulmonary diseases dedicated to the coding process. To carry out this objective, we develop a precise methodological process for the knowledge engineer in order to build various types of medical ontologies. This process is based on the need to express precisely in natural language the meaning of each concept using differential semantics principles. A differential ontology is a hierarchy of concepts and relationships organized according to their similarities and differences. Our main research hypothesis is to apply natural language processing tools to corpora to develop the resources needed to build the ontology. We consider two corpora, one composed of patient discharge summaries and the other being a teaching book. We propose to combine two approaches to enrich the ontology building: (i) a method which consists of building terminological resources through distributional analysis and (ii) a method based on the observation of corpus sequences in order to reveal semantic relationships. Our ontology currently includes 1550 concepts and the software implementing the coding process is still under development. Results show that the proposed approach is operational and indicates that the combination of these methods and the comparison of the resulting terminological structures give interesting clues to a knowledge engineer for the building of an ontology.

Aspects of Text Mining From Computational Semiotics to Systemic Functional Hypertexts

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Alexander Mehler

2001-05-01

Full Text Available The significance of natural language texts as the prime information structure for the management and dissemination of knowledge in organisations is still increasing. Making relevant documents available depending on varying tasks in different contexts is of primary importance for any efficient task completion. Implementing this demand requires the content based processing of texts, which enables to reconstruct or, if necessary, to explore the relationship of task, context and document. Text mining is a technology that is suitable for solving problems of this kind. In the following, semiotic aspects of text mining are investigated. Based on the primary object of text mining - natural language lexis - the specific complexity of this class of signs is outlined and requirements for the implementation of text mining procedures are derived. This is done with reference to text linkage introduced as a special task in text mining. Text linkage refers to the exploration of implicit, content based relations of texts (and their annotation as typed links in corpora possibly organised as hypertexts. In this context, the term systemic functional hypertext is introduced, which distinguishes genre and register layers for the management of links in a poly-level hypertext system.

Word-Length Correlations and Memory in Large Texts: A Visibility Network Analysis

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Lev Guzmán-Vargas

2015-11-01

Full Text Available We study the correlation properties of word lengths in large texts from 30 ebooks in the English language from the Gutenberg Project (www.gutenberg.org using the natural visibility graph method (NVG. NVG converts a time series into a graph and then analyzes its graph properties. First, the original sequence of words is transformed into a sequence of values containing the length of each word, and then, it is integrated. Next, we apply the NVG to the integrated word-length series and construct the network. We show that the degree distribution of that network follows a power law, P ( k ∼ k - γ , with two regimes, which are characterized by the exponents γ s ≈ 1 . 7 (at short degree scales and γ l ≈ 1 . 3 (at large degree scales. This suggests that word lengths are much more strongly correlated at large distances between words than at short distances between words. That finding is also supported by the detrended fluctuation analysis (DFA and recurrence time distribution. These results provide new information about the universal characteristics of the structure of written texts beyond that given by word frequencies.

Glandectomy with preservation of corpora cavernosa in the treatment of penile carcinoma

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Fonseca Aluizio G. da

2003-01-01

Full Text Available INTRODUCTION: The objective of this work is to describe a conservative surgical technique as an alternative to classic penile amputations, aiming the local control of the disease, in addition to trying to preserve the patient's sexual function. SURGICAL TECHNIQUE: After a circular incision of the skin around the penis, the subfascial plane is developed until the base of the organ. The dorsal neurovascular bundle and the urethra are isolated in their distal extremities. The neurovascular bundle is sectioned distally. A retrocoronal dissection plane is developed between the glans and the corpora cavernosa. When this stage is complete, the glans is fixed only to the urethra, which is distally sectioned as well. The neurovascular bundle is fixed to the dorsal albuginea. Following the spatulation of the urethra, a neomeatus is created using the overlay skin of the penis. Between January 2001 and July 2002, we employed this technique in 6 patients who had epidermoid carcinoma of the penis, which were limited to the glans, superficial, well or moderately differentiated and measuring up to 3 cm. COMMENTS: Several conservative surgical methods for treatment of carcinoma of the penis aim the organ's preservation, in an attempt of improving the quality of life of patients, however the indexes of local recurrence and failure in disease control are significant. The described technique showed to be safe and effective for disease control, in addition to preserving sexual function in all patients who were treated, representing, thus, a quite appealing conservative surgical alternative in selected cases.

tagtog: interactive and text-mining-assisted annotation of gene mentions in PLOS full-text articles.

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Cejuela, Juan Miguel; McQuilton, Peter; Ponting, Laura; Marygold, Steven J; Stefancsik, Raymund; Millburn, Gillian H; Rost, Burkhard

2014-01-01

The breadth and depth of biomedical literature are increasing year upon year. To keep abreast of these increases, FlyBase, a database for Drosophila genomic and genetic information, is constantly exploring new ways to mine the published literature to increase the efficiency and accuracy of manual curation and to automate some aspects, such as triaging and entity extraction. Toward this end, we present the 'tagtog' system, a web-based annotation framework that can be used to mark up biological entities (such as genes) and concepts (such as Gene Ontology terms) in full-text articles. tagtog leverages manual user annotation in combination with automatic machine-learned annotation to provide accurate identification of gene symbols and gene names. As part of the BioCreative IV Interactive Annotation Task, FlyBase has used tagtog to identify and extract mentions of Drosophila melanogaster gene symbols and names in full-text biomedical articles from the PLOS stable of journals. We show here the results of three experiments with different sized corpora and assess gene recognition performance and curation speed. We conclude that tagtog-named entity recognition improves with a larger corpus and that tagtog-assisted curation is quicker than manual curation. DATABASE URL: www.tagtog.net, www.flybase.org.

The Influence of Reference Corpus Size on Wordsmith Tools Keywords Extraction

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Tony Berber Sardinha

2012-05-01

Full Text Available A KeyWords analysis (using WordSmith Tools enables the discovery of lexical items which reveal the main lexical sets in a text or corpus. Such an analysis requires that a reference corpus be compared to the corpus the researcher intends to describe (the study corpus. This paper presents a mathematical method for finding out the influence of reference corpus size on the number of key words extracted by the program. The results reveal that a reference corpus that is at least five times as large as the study corpus allows for drawing an amount of key words that is statistically equivalent to larger reference corpora, thus suggesting five times (as larger as the study corpora as the minimum order of magnitude for reference corpora.

WARCProcessor: An Integrative Tool for Building and Management of Web Spam Corpora.

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Callón, Miguel; Fdez-Glez, Jorge; Ruano-Ordás, David; Laza, Rosalía; Pavón, Reyes; Fdez-Riverola, Florentino; Méndez, Jose Ramón

2017-12-22

In this work we present the design and implementation of WARCProcessor, a novel multiplatform integrative tool aimed to build scientific datasets to facilitate experimentation in web spam research. The developed application allows the user to specify multiple criteria that change the way in which new corpora are generated whilst reducing the number of repetitive and error prone tasks related with existing corpus maintenance. For this goal, WARCProcessor supports up to six commonly used data sources for web spam research, being able to store output corpus in standard WARC format together with complementary metadata files. Additionally, the application facilitates the automatic and concurrent download of web sites from Internet, giving the possibility of configuring the deep of the links to be followed as well as the behaviour when redirected URLs appear. WARCProcessor supports both an interactive GUI interface and a command line utility for being executed in background.

A Large-Scale Analysis of Variance in Written Language.

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Johns, Brendan T; Jamieson, Randall K

2018-01-22

The collection of very large text sources has revolutionized the study of natural language, leading to the development of several models of language learning and distributional semantics that extract sophisticated semantic representations of words based on the statistical redundancies contained within natural language (e.g., Griffiths, Steyvers, & Tenenbaum, ; Jones & Mewhort, ; Landauer & Dumais, ; Mikolov, Sutskever, Chen, Corrado, & Dean, ). The models treat knowledge as an interaction of processing mechanisms and the structure of language experience. But language experience is often treated agnostically. We report a distributional semantic analysis that shows written language in fiction books varies appreciably between books from the different genres, books from the same genre, and even books written by the same author. Given that current theories assume that word knowledge reflects an interaction between processing mechanisms and the language environment, the analysis shows the need for the field to engage in a more deliberate consideration and curation of the corpora used in computational studies of natural language processing. Copyright © 2018 Cognitive Science Society, Inc.

Cell line name recognition in support of the identification of synthetic lethality in cancer from text

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Kaewphan, Suwisa; Van Landeghem, Sofie; Ohta, Tomoko; Van de Peer, Yves; Ginter, Filip; Pyysalo, Sampo

2016-01-01

Motivation: The recognition and normalization of cell line names in text is an important task in biomedical text mining research, facilitating for instance the identification of synthetically lethal genes from the literature. While several tools have previously been developed to address cell line recognition, it is unclear whether available systems can perform sufficiently well in realistic and broad-coverage applications such as extracting synthetically lethal genes from the cancer literature. In this study, we revisit the cell line name recognition task, evaluating both available systems and newly introduced methods on various resources to obtain a reliable tagger not tied to any specific subdomain. In support of this task, we introduce two text collections manually annotated for cell line names: the broad-coverage corpus Gellus and CLL, a focused target domain corpus. Results: We find that the best performance is achieved using NERsuite, a machine learning system based on Conditional Random Fields, trained on the Gellus corpus and supported with a dictionary of cell line names. The system achieves an F-score of 88.46% on the test set of Gellus and 85.98% on the independently annotated CLL corpus. It was further applied at large scale to 24 302 102 unannotated articles, resulting in the identification of 5 181 342 cell line mentions, normalized to 11 755 unique cell line database identifiers. Availability and implementation: The manually annotated datasets, the cell line dictionary, derived corpora, NERsuite models and the results of the large-scale run on unannotated texts are available under open licenses at http://turkunlp.github.io/Cell-line-recognition/. Contact: sukaew@utu.fi PMID:26428294

Latent semantics of action verbs reflect phonetic parameters of intensity and emotional content

DEFF Research Database (Denmark)

Petersen, Michael Kai

2015-01-01

already in toddlers, this study explores whether articulatory and acoustic parameters may likewise differentiate the latent semantics of action verbs. Selecting 3 X 20 emotion, face, and hand related verbs known to activate premotor areas in the brain, their mutual cosine similarities were computed using...... latent semantic analysis LSA, and the resulting adjacency matrices were compared based on two different large scale text corpora; HAWIK and TASA. Applying hierarchical clustering to identify common structures across the two text corpora, the verbs largely divide into combined mouth and hand movements...... versus emotional expressions. Transforming the verbs into their constituent phonemes, and projecting them into an articulatory space framed by tongue height and formant frequencies, the clustered small and large size movements appear differentiated by front versus back vowels corresponding to increasing...

A 38 Million Words Dutch Text Corpus and its Users

African Journals Online (AJOL)

part of speech, was made accessible via Internet (Kruyt 1995a, b). A 27 Million ..... corpora yet, and that 16 user accounts are reserved for students of the Free ... are from Norway, Denmark, Austria, Slovenia, Latvia, Malaysia and Korea.

Dose-Volume Parameters of the Corpora Cavernosa Do Not Correlate With Erectile Dysfunction After External Beam Radiotherapy for Prostate Cancer: Results From a Dose-Escalation Trial

International Nuclear Information System (INIS)

Wielen, Gerard J. van der; Hoogeman, Mischa S.; Dohle, Gert R.; Putten, Wim L.J. van; Incrocci, Luca

2008-01-01

Purpose: To analyze the correlation between dose-volume parameters of the corpora cavernosa and erectile dysfunction (ED) after external beam radiotherapy (EBRT) for prostate cancer. Methods and Materials: Between June 1997 and February 2003, a randomized dose-escalation trial comparing 68 Gy and 78 Gy was conducted. Patients at our institute were asked to participate in an additional part of the trial evaluating sexual function. After exclusion of patients with less than 2 years of follow-up, ED at baseline, or treatment with hormonal therapy, 96 patients were eligible. The proximal corpora cavernosa (crura), the superiormost 1-cm segment of the crura, and the penile bulb were contoured on the planning computed tomography scan and dose-volume parameters were calculated. Results: Two years after EBRT, 35 of the 96 patients had developed ED. No statistically significant correlations between ED 2 years after EBRT and dose-volume parameters of the crura, the superiormost 1-cm segment of the crura, or the penile bulb were found. The few patients using potency aids typically indicated to have ED. Conclusion: No correlation was found between ED after EBRT for prostate cancer and radiation dose to the crura or penile bulb. The present study is the largest study evaluating the correlation between ED and radiation dose to the corpora cavernosa after EBRT for prostate cancer. Until there is clear evidence that sparing the penile bulb or crura will reduce ED after EBRT, we advise to be careful in sparing these structures, especially when this involves reducing treatment margins

Chemical Topic Modeling: Exploring Molecular Data Sets Using a Common Text-Mining Approach.

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Schneider, Nadine; Fechner, Nikolas; Landrum, Gregory A; Stiefl, Nikolaus

2017-08-28

Big data is one of the key transformative factors which increasingly influences all aspects of modern life. Although this transformation brings vast opportunities it also generates novel challenges, not the least of which is organizing and searching this data deluge. The field of medicinal chemistry is not different: more and more data are being generated, for instance, by technologies such as DNA encoded libraries, peptide libraries, text mining of large literature corpora, and new in silico enumeration methods. Handling those huge sets of molecules effectively is quite challenging and requires compromises that often come at the expense of the interpretability of the results. In order to find an intuitive and meaningful approach to organizing large molecular data sets, we adopted a probabilistic framework called "topic modeling" from the text-mining field. Here we present the first chemistry-related implementation of this method, which allows large molecule sets to be assigned to "chemical topics" and investigating the relationships between those. In this first study, we thoroughly evaluate this novel method in different experiments and discuss both its disadvantages and advantages. We show very promising results in reproducing human-assigned concepts using the approach to identify and retrieve chemical series from sets of molecules. We have also created an intuitive visualization of the chemical topics output by the algorithm. This is a huge benefit compared to other unsupervised machine-learning methods, like clustering, which are commonly used to group sets of molecules. Finally, we applied the new method to the 1.6 million molecules of the ChEMBL22 data set to test its robustness and efficiency. In about 1 h we built a 100-topic model of this large data set in which we could identify interesting topics like "proteins", "DNA", or "steroids". Along with this publication we provide our data sets and an open-source implementation of the new method (CheTo) which

Gigafida and slWaC: topic comparison

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Nataša Logar Berginc

2013-05-01

Full Text Available In the article, the following two issues are analyzed: (a incorporation of texts from the Internet into existing reference corpora and comparison with the existence of web corpora, and (b the latest two corpora of Slovenian language texts: the Gigafida corpus consisting mainly of printed texts and to a lesser extent also web texts, and the slWaC corpus which is entirely compiled from web texts. First, similarities and differences between the two corpora are identified using the topic modelling method, and then the same method is applied to the individual taxonomic categories of the Gigafida corpus. The first part of the analysis showed that the work of reference corpus compilers is currently still incoherent with regard to the incorporation of Internet texts into corpora which should reveal the overall picture of a certain language. In case compilers decide to incorporate web texts, the range of included genres is generally broad. The second part of the analysis showed a significant thematic variation between the Gigafida and slWaC corpora, and pointed out the most typical themes covered by each of the six Gigafida corpus parts.

Analysis of Influence of Different Relations Types on the Quality of Thesaurus Application to Text Classification Problems

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Nadezhda S. Lagutina

2017-01-01

Full Text Available The main purpose of the article is to analyze how effectively different types of thesaurus relations can be used for solutions of text classification tasks. The basis of the study is an automatically generated thesaurus of a subject area, that contains three types of relations: synonymous, hierarchical and associative. To generate the thesaurus the authors use a hybrid method based on several linguistic and statistical algorithms for extraction of semantic relations. The method allows to create a thesaurus with a sufficiently large number of terms and relations among them. The authors consider two problems: topical text classification and sentiment classification of large newspaper articles. To solve them, the authors developed two approaches that complement standard algorithms with a procedure that take into account thesaurus relations to determine semantic features of texts. The approach to topical classification includes the standard unsupervised BM25 algorithm and the procedure, that take into account synonymous and hierarchical relations of the thesaurus of the subject area. The approach to sentiment classification consists of two steps. At the first step, a thesaurus is created, whose terms weight polarities are calculated depending on the term occurrences in the training set or on the weights of related thesaurus terms. At the second step, the thesaurus is used to compute the features of words from texts and to classify texts by the algorithm SVM or Naive Bayes. In experiments with text corpora BBCSport, Reuters, PubMed and the corpus of articles about American immigrants, the authors varied the types of thesaurus relations that are involved in the classification and the degree of their use. The results of the experiments make it possible to evaluate the efficiency of the application of thesaurus relations for classification of raw texts and to determine under what conditions certain relationships affect more or less. In particular, the

Entity recognition from clinical texts via recurrent neural network.

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Liu, Zengjian; Yang, Ming; Wang, Xiaolong; Chen, Qingcai; Tang, Buzhou; Wang, Zhe; Xu, Hua

2017-07-05

Entity recognition is one of the most primary steps for text analysis and has long attracted considerable attention from researchers. In the clinical domain, various types of entities, such as clinical entities and protected health information (PHI), widely exist in clinical texts. Recognizing these entities has become a hot topic in clinical natural language processing (NLP), and a large number of traditional machine learning methods, such as support vector machine and conditional random field, have been deployed to recognize entities from clinical texts in the past few years. In recent years, recurrent neural network (RNN), one of deep learning methods that has shown great potential on many problems including named entity recognition, also has been gradually used for entity recognition from clinical texts. In this paper, we comprehensively investigate the performance of LSTM (long-short term memory), a representative variant of RNN, on clinical entity recognition and protected health information recognition. The LSTM model consists of three layers: input layer - generates representation of each word of a sentence; LSTM layer - outputs another word representation sequence that captures the context information of each word in this sentence; Inference layer - makes tagging decisions according to the output of LSTM layer, that is, outputting a label sequence. Experiments conducted on corpora of the 2010, 2012 and 2014 i2b2 NLP challenges show that LSTM achieves highest micro-average F1-scores of 85.81% on the 2010 i2b2 medical concept extraction, 92.29% on the 2012 i2b2 clinical event detection, and 94.37% on the 2014 i2b2 de-identification, which is considerably competitive with other state-of-the-art systems. LSTM that requires no hand-crafted feature has great potential on entity recognition from clinical texts. It outperforms traditional machine learning methods that suffer from fussy feature engineering. A possible future direction is how to integrate knowledge

Experiences with Text Mining Large Collections of Unstructured Systems Development Artifacts at JPL

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Port, Dan; Nikora, Allen; Hihn, Jairus; Huang, LiGuo

2011-01-01

Often repositories of systems engineering artifacts at NASA's Jet Propulsion Laboratory (JPL) are so large and poorly structured that they have outgrown our capability to effectively manually process their contents to extract useful information. Sophisticated text mining methods and tools seem a quick, low-effort approach to automating our limited manual efforts. Our experiences of exploring such methods mainly in three areas including historical risk analysis, defect identification based on requirements analysis, and over-time analysis of system anomalies at JPL, have shown that obtaining useful results requires substantial unanticipated efforts - from preprocessing the data to transforming the output for practical applications. We have not observed any quick 'wins' or realized benefit from short-term effort avoidance through automation in this area. Surprisingly we have realized a number of unexpected long-term benefits from the process of applying text mining to our repositories. This paper elaborates some of these benefits and our important lessons learned from the process of preparing and applying text mining to large unstructured system artifacts at JPL aiming to benefit future TM applications in similar problem domains and also in hope for being extended to broader areas of applications.

A Text-Independent Speaker Authentication System for Mobile Devices

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Florentin Thullier

2017-09-01

Full Text Available This paper presents a text independent speaker authentication method adapted to mobile devices. Special attention was placed on delivering a fully operational application, which admits a sufficient reliability level and an efficient functioning. To this end, we have excluded the need for any network communication. Hence, we opted for the completion of both the training and the identification processes directly on the mobile device through the extraction of linear prediction cepstral coefficients and the naive Bayes algorithm as the classifier. Furthermore, the authentication decision is enhanced to overcome misidentification through access privileges that the user should attribute to each application beforehand. To evaluate the proposed authentication system, eleven participants were involved in the experiment, conducted in quiet and noisy environments. Public speech corpora were also employed to compare this implementation to existing methods. Results were efficient regarding mobile resources’ consumption. The overall classification performance obtained was accurate with a small number of samples. Then, it appeared that our authentication system might be used as a first security layer, but also as part of a multilayer authentication, or as a fall-back mechanism.

Argumentation Within Language as Subsidy for the Evaluation of Reading Practices and Production of Argumentative Texts

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Lauro Gomes

2016-12-01

Full Text Available This paper aims to present an evaluation proposal of the performance in reading and writing dissertative-argumentative texts, based on principles and concepts from the theory of Argumentation in Language – created by Jean-Claude Anscombre and Oswald Ducrot, especially the version of the Theory of the Semantic Blocks and the works inspired by it. The goal is to create criteria which are capable of being less intuitive in judging the performance in reading and wrinting dissertative-argumentative texts. The analysis of the corpora – the Enem 2011’s composition proposal and 50 (fifty texts written by the students – and the test of the criteria of reading and writing evaluation in this work revealed practice funcionality and efficiency of criteria. The results allow these criteria to be applied in any evaluation processes of dissertative-argumenative texts. Finally, this paper offers theoretical and methodological subisdies which can help teachers and professors to qualify their teaching of reading and writing and the evaluation of student’s texts.

A religião como meio de inclusão e de exclusão nas corporações de ofício de Estrasburgo (1681-1789

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Hanna Sonkajärvi

Full Text Available O artigo propõe uma análise das dinâmicas de inclusão e de exclusão construídas a partir do pertencimento religioso, ou confessional nas corporações de ofício em Estrasburgo no século XVIII. Na sociedade do Antigo Regime, a religião fazia parte - assim como o status social, os vínculos familiares, o gênero, o patronato e os meios financeiros, a língua e os direitos de burguesia - dos fatores decisivos para incluir ou excluir os estrangeiros do acesso aos recursos econômicos, políticos ou sociais das localidades. A construção e a preservação das fronteiras religiosas são examinadas a partir do exemplo dos marceneiros e dos barqueiros na cidade multi-confessional de Estrasburgo.

The BioLexicon: a large-scale terminological resource for biomedical text mining

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Thompson Paul

2011-10-01

Full Text Available Abstract Background Due to the rapidly expanding body of biomedical literature, biologists require increasingly sophisticated and efficient systems to help them to search for relevant information. Such systems should account for the multiple written variants used to represent biomedical concepts, and allow the user to search for specific pieces of knowledge (or events involving these concepts, e.g., protein-protein interactions. Such functionality requires access to detailed information about words used in the biomedical literature. Existing databases and ontologies often have a specific focus and are oriented towards human use. Consequently, biological knowledge is dispersed amongst many resources, which often do not attempt to account for the large and frequently changing set of variants that appear in the literature. Additionally, such resources typically do not provide information about how terms relate to each other in texts to describe events. Results This article provides an overview of the design, construction and evaluation of a large-scale lexical and conceptual resource for the biomedical domain, the BioLexicon. The resource can be exploited by text mining tools at several levels, e.g., part-of-speech tagging, recognition of biomedical entities, and the extraction of events in which they are involved. As such, the BioLexicon must account for real usage of words in biomedical texts. In particular, the BioLexicon gathers together different types of terms from several existing data resources into a single, unified repository, and augments them with new term variants automatically extracted from biomedical literature. Extraction of events is facilitated through the inclusion of biologically pertinent verbs (around which events are typically organized together with information about typical patterns of grammatical and semantic behaviour, which are acquired from domain-specific texts. In order to foster interoperability, the BioLexicon is

ParaText : scalable solutions for processing and searching very large document collections : final LDRD report.

Energy Technology Data Exchange (ETDEWEB)

Crossno, Patricia Joyce; Dunlavy, Daniel M.; Stanton, Eric T.; Shead, Timothy M.

2010-09-01

This report is a summary of the accomplishments of the 'Scalable Solutions for Processing and Searching Very Large Document Collections' LDRD, which ran from FY08 through FY10. Our goal was to investigate scalable text analysis; specifically, methods for information retrieval and visualization that could scale to extremely large document collections. Towards that end, we designed, implemented, and demonstrated a scalable framework for text analysis - ParaText - as a major project deliverable. Further, we demonstrated the benefits of using visual analysis in text analysis algorithm development, improved performance of heterogeneous ensemble models in data classification problems, and the advantages of information theoretic methods in user analysis and interpretation in cross language information retrieval. The project involved 5 members of the technical staff and 3 summer interns (including one who worked two summers). It resulted in a total of 14 publications, 3 new software libraries (2 open source and 1 internal to Sandia), several new end-user software applications, and over 20 presentations. Several follow-on projects have already begun or will start in FY11, with additional projects currently in proposal.

BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph.

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Peng, Yifan; Arighi, Cecilia; Wu, Cathy H; Vijay-Shanker, K

2016-01-01

There has been a large growth in the number of biomedical publications that report experimental results. Many of these results concern detection of protein-protein interactions (PPI). In BioCreative V, we participated in the BioC task and developed a PPI system to detect text passages with PPIs in the full-text articles. By adopting the BioC format, the output of the system can be seamlessly added to the biocuration pipeline with little effort required for the system integration. A distinctive feature of our PPI system is that it utilizes extended dependency graph, an intermediate level of representation that attempts to abstract away syntactic variations in text. As a result, we are able to use only a limited set of rules to extract PPI pairs in the sentences, and additional rules to detect additional passages for PPI pairs. For evaluation, we used the 95 articles that were provided for the BioC annotation task. We retrieved the unique PPIs from the BioGRID database for these articles and show that our system achieves a recall of 83.5%. In order to evaluate the detection of passages with PPIs, we further annotated Abstract and Results sections of 20 documents from the dataset and show that an f-value of 80.5% was obtained. To evaluate the generalizability of the system, we also conducted experiments on AIMed, a well-known PPI corpus. We achieved an f-value of 76.1% for sentence detection and an f-value of 64.7% for unique PPI detection.Database URL: http://proteininformationresource.org/iprolink/corpora. © The Author(s) 2016. Published by Oxford University Press.

Mesures de comparabilité pour la construction assistée de corpus comparables bilingues thématiques

OpenAIRE

Ke , Guiyao

2014-01-01

Thematic comparable corpora regroup texts from a same topic and written in several languages, highly similar but without mutual translations. Comparing with parallel corpora which regroup pairs of translations, comparable corpora have three advantages: firstly, they are rich and big resources jointly in volume and in covered period; secondly, comparable corpora provide original language and thematic resources. Finally, they are less expensive to develop than parallel corpus. With the consider...

The Feasibility of Using Large-Scale Text Mining to Detect Adverse Childhood Experiences in a VA-Treated Population.

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Hammond, Kenric W; Ben-Ari, Alon Y; Laundry, Ryan J; Boyko, Edward J; Samore, Matthew H

2015-12-01

Free text in electronic health records resists large-scale analysis. Text records facts of interest not found in encoded data, and text mining enables their retrieval and quantification. The U.S. Department of Veterans Affairs (VA) clinical data repository affords an opportunity to apply text-mining methodology to study clinical questions in large populations. To assess the feasibility of text mining, investigation of the relationship between exposure to adverse childhood experiences (ACEs) and recorded diagnoses was conducted among all VA-treated Gulf war veterans, utilizing all progress notes recorded from 2000-2011. Text processing extracted ACE exposures recorded among 44.7 million clinical notes belonging to 243,973 veterans. The relationship of ACE exposure to adult illnesses was analyzed using logistic regression. Bias considerations were assessed. ACE score was strongly associated with suicide attempts and serious mental disorders (ORs = 1.84 to 1.97), and less so with behaviorally mediated and somatic conditions (ORs = 1.02 to 1.36) per unit. Bias adjustments did not remove persistent associations between ACE score and most illnesses. Text mining to detect ACE exposure in a large population was feasible. Analysis of the relationship between ACE score and adult health conditions yielded patterns of association consistent with prior research. Copyright © 2015 International Society for Traumatic Stress Studies.

The BioLexicon: a large-scale terminological resource for biomedical text mining

Science.gov (United States)

2011-01-01

Background Due to the rapidly expanding body of biomedical literature, biologists require increasingly sophisticated and efficient systems to help them to search for relevant information. Such systems should account for the multiple written variants used to represent biomedical concepts, and allow the user to search for specific pieces of knowledge (or events) involving these concepts, e.g., protein-protein interactions. Such functionality requires access to detailed information about words used in the biomedical literature. Existing databases and ontologies often have a specific focus and are oriented towards human use. Consequently, biological knowledge is dispersed amongst many resources, which often do not attempt to account for the large and frequently changing set of variants that appear in the literature. Additionally, such resources typically do not provide information about how terms relate to each other in texts to describe events. Results This article provides an overview of the design, construction and evaluation of a large-scale lexical and conceptual resource for the biomedical domain, the BioLexicon. The resource can be exploited by text mining tools at several levels, e.g., part-of-speech tagging, recognition of biomedical entities, and the extraction of events in which they are involved. As such, the BioLexicon must account for real usage of words in biomedical texts. In particular, the BioLexicon gathers together different types of terms from several existing data resources into a single, unified repository, and augments them with new term variants automatically extracted from biomedical literature. Extraction of events is facilitated through the inclusion of biologically pertinent verbs (around which events are typically organized) together with information about typical patterns of grammatical and semantic behaviour, which are acquired from domain-specific texts. In order to foster interoperability, the BioLexicon is modelled using the Lexical

Text-Mining Applications for Creation of Biofilm Literature Database

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Kanika Gupta

2017-10-01

So in the present research published corpora of 34306 documents for biofilm was collected from PubMed database along with non-indexed resources like books, conferences, newspaper articles, etc. and these were divided into five categories i.e. classification, growth and development, physiology, drug effects and radiation effects. These five categories were further individually divided into three parts i.e. Journal Title, Abstract Title, and Abstract Text to make indexing highly specific. Text-processing was done using the software Rapid Miner_v5.3, which tokenizes the entire text into words and provides the frequency of each word within the document. The obtained words were normalized using Remove Stop and Stem Word command of Rapid Miner_v5.3 which removes the stopping and stemming words. The obtained words were stored in MS-Excel 2007 and were sorted in decreasing order of frequency using Sort & Filter command of MS-Excel 2007. The words are visualization through networks obtained by Cytoscape_v2.7.0. Now the words obtained were highly specific for biofilms, generating a controlled biofilm vocabulary and this vocabulary could be used for indexing articles for biofilm (similar to MeSH database which indexes articles for PubMed. The obtained keywords information was stored in the relational database which is locally hosted using the WAMP_v2.4 (Windows, Apache, MySQL, PHP server. The available biofilm vocabulary will be significant for researchers studying biofilm literature, making their search easy and efficient.

A New English?Arabic Parallel Text Corpus for Lexicographic Applications

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Hashan Al-Ajmi

2011-10-01

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Abstract: Bilingual lexicographers, translation specialists and English teachers in the Arabworld do not have access to computerized corpora of parallel texts for the English–Arabic languagepair. This project has been carried out to meet this requirement by establishing the first generalparallel corpus of English texts and their Arabic translations. The first phase of the project involvedthe selection of general source texts having appropriate lexical and stylistic features. The chosensource texts deal with a variety of topics such as the environment, globalization, psychology, history,politics, drama, etc. Their Arabic translations were taken from The World of Knowledge seriespublished by the National Council for Culture, Arts and Letters (NCCAL in Kuwait.

Keywords: PARALLEL CORPUS, LEXICOGRAPHY, TRANSLATION, BILINGUAL DICTIONARY,COLLOCATIONS, ALIGNMENT, SYNONYMS, DERIVATIVES, ANTONYMS, GLOSSARY,FREQUENCY

Opsomming: 'n Nuwe Engels–Arabiese parallelletekskorpus vir leksikografiesetoepassings Tweetalige leksikograwe, vertaalkundiges en Engelsonderwysers in dieArabiese wêreld het nie toegang tot gerekenariseerde korpusse van parallelle tekste vir die Engels–Arabiese taalpaar nie. Hierdie projek is onderneem om in dié behoefte te voorsien deur die eerstealgemene parallelle korpus van Engelse tekste en hul Arabiese vertalings tot stand te bring. Dieeerste fase van die projek het die keuse van algemene brontekste behels wat geskikte leksikale enstilistiese eienskappe besit. Die gekose brontekste handel oor 'n verskeidenheid onderwerpe soosdie omgewing, globalisering, psigologie, geskiedenis, politiek, drama, ens. Hul Arabiese vertalingsis geneem uit The World of Knowledge-reeks gepubliseer deur die National Council for Culture, Artsand Letters (NCCAL in Koeweit.

Sleutelwoorde: PARALLELLE KORPUS, LEKSIKOGRAFIE, VERTALING, TWEETALIGEWOORDEBOEK, KOLLOKASIES, OOREENSTEMMING, SINONIEME, AFLEIDINGS, ANTONIEME

Challenges for automatically extracting molecular interactions from full-text articles.

Science.gov (United States)

McIntosh, Tara; Curran, James R

2009-09-24

The increasing availability of full-text biomedical articles will allow more biomedical knowledge to be extracted automatically with greater reliability. However, most Information Retrieval (IR) and Extraction (IE) tools currently process only abstracts. The lack of corpora has limited the development of tools that are capable of exploiting the knowledge in full-text articles. As a result, there has been little investigation into the advantages of full-text document structure, and the challenges developers will face in processing full-text articles. We manually annotated passages from full-text articles that describe interactions summarised in a Molecular Interaction Map (MIM). Our corpus tracks the process of identifying facts to form the MIM summaries and captures any factual dependencies that must be resolved to extract the fact completely. For example, a fact in the results section may require a synonym defined in the introduction. The passages are also annotated with negated and coreference expressions that must be resolved.We describe the guidelines for identifying relevant passages and possible dependencies. The corpus includes 2162 sentences from 78 full-text articles. Our corpus analysis demonstrates the necessity of full-text processing; identifies the article sections where interactions are most commonly stated; and quantifies the proportion of interaction statements requiring coherent dependencies. Further, it allows us to report on the relative importance of identifying synonyms and resolving negated expressions. We also experiment with an oracle sentence retrieval system using the corpus as a gold-standard evaluation set. We introduce the MIM corpus, a unique resource that maps interaction facts in a MIM to annotated passages within full-text articles. It is an invaluable case study providing guidance to developers of biomedical IR and IE systems, and can be used as a gold-standard evaluation set for full-text IR tasks.

Application of Text Analytics to Extract and Analyze Material–Application Pairs from a Large Scientific Corpus

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Nikhil Kalathil

2018-01-01

Full Text Available When assessing the importance of materials (or other components to a given set of applications, machine analysis of a very large corpus of scientific abstracts can provide an analyst a base of insights to develop further. The use of text analytics reduces the time required to conduct an evaluation, while allowing analysts to experiment with a multitude of different hypotheses. Because the scope and quantity of metadata analyzed can, and should, be large, any divergence from what a human analyst determines and what the text analysis shows provides a prompt for the human analyst to reassess any preliminary findings. In this work, we have successfully extracted material–application pairs and ranked them on their importance. This method provides a novel way to map scientific advances in a particular material to the application for which it is used. Approximately 438,000 titles and abstracts of scientific papers published from 1992 to 2011 were used to examine 16 materials. This analysis used coclustering text analysis to associate individual materials with specific clean energy applications, evaluate the importance of materials to specific applications, and assess their importance to clean energy overall. Our analysis reproduced the judgments of experts in assigning material importance to applications. The validated methods were then used to map the replacement of one material with another material in a specific application (batteries.

SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering.

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Cao, Jie; Wu, Zhiang; Wu, Junjie; Xiong, Hui

2013-04-01

Information-theoretic clustering aims to exploit information-theoretic measures as the clustering criteria. A common practice on this topic is the so-called Info-Kmeans, which performs K-means clustering with KL-divergence as the proximity function. While expert efforts on Info-Kmeans have shown promising results, a remaining challenge is to deal with high-dimensional sparse data such as text corpora. Indeed, it is possible that the centroids contain many zero-value features for high-dimensional text vectors, which leads to infinite KL-divergence values and creates a dilemma in assigning objects to centroids during the iteration process of Info-Kmeans. To meet this challenge, in this paper, we propose a Summation-bAsed Incremental Learning (SAIL) algorithm for Info-Kmeans clustering. Specifically, by using an equivalent objective function, SAIL replaces the computation of KL-divergence by the incremental computation of Shannon entropy. This can avoid the zero-feature dilemma caused by the use of KL-divergence. To improve the clustering quality, we further introduce the variable neighborhood search scheme and propose the V-SAIL algorithm, which is then accelerated by a multithreaded scheme in PV-SAIL. Our experimental results on various real-world text collections have shown that, with SAIL as a booster, the clustering performance of Info-Kmeans can be significantly improved. Also, V-SAIL and PV-SAIL indeed help improve the clustering quality at a lower cost of computation.

CROATIAN ADULT SPOKEN LANGUAGE CORPUS (HrAL

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Jelena Kuvač Kraljević

2016-01-01

Full Text Available Interest in spoken-language corpora has increased over the past two decades leading to the development of new corpora and the discovery of new facets of spoken language. These types of corpora represent the most comprehensive data source about the language of ordinary speakers. Such corpora are based on spontaneous, unscripted speech defined by a variety of styles, registers and dialects. The aim of this paper is to present the Croatian Adult Spoken Language Corpus (HrAL, its structure and its possible applications in different linguistic subfields. HrAL was built by sampling spontaneous conversations among 617 speakers from all Croatian counties, and it comprises more than 250,000 tokens and more than 100,000 types. Data were collected during three time slots: from 2010 to 2012, from 2014 to 2015 and during 2016. HrAL is today available within TalkBank, a large database of spoken-language corpora covering different languages (https://talkbank.org, in the Conversational Analyses corpora within the subsection titled Conversational Banks. Data were transcribed, coded and segmented using the transcription format Codes for Human Analysis of Transcripts (CHAT and the Computerised Language Analysis (CLAN suite of programmes within the TalkBank toolkit. Speech streams were segmented into communication units (C-units based on syntactic criteria. Most transcripts were linked to their source audios. The TalkBank is public free, i.e. all data stored in it can be shared by the wider community in accordance with the basic rules of the TalkBank. HrAL provides information about spoken grammar and lexicon, discourse skills, error production and productivity in general. It may be useful for sociolinguistic research and studies of synchronic language changes in Croatian.

Human language reveals a universal positivity bias.

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Dodds, Peter Sheridan; Clark, Eric M; Desu, Suma; Frank, Morgan R; Reagan, Andrew J; Williams, Jake Ryland; Mitchell, Lewis; Harris, Kameron Decker; Kloumann, Isabel M; Bagrow, James P; Megerdoomian, Karine; McMahon, Matthew T; Tivnan, Brian F; Danforth, Christopher M

2015-02-24

Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language, observing that (i) the words of natural human language possess a universal positivity bias, (ii) the estimated emotional content of words is consistent between languages under translation, and (iii) this positivity bias is strongly independent of frequency of word use. Alongside these general regularities, we describe interlanguage variations in the emotional spectrum of languages that allow us to rank corpora. We also show how our word evaluations can be used to construct physical-like instruments for both real-time and offline measurement of the emotional content of large-scale texts.

Large-scale automatic extraction of side effects associated with targeted anticancer drugs from full-text oncological articles.

Science.gov (United States)

Xu, Rong; Wang, QuanQiu

2015-06-01

Targeted anticancer drugs such as imatinib, trastuzumab and erlotinib dramatically improved treatment outcomes in cancer patients, however, these innovative agents are often associated with unexpected side effects. The pathophysiological mechanisms underlying these side effects are not well understood. The availability of a comprehensive knowledge base of side effects associated with targeted anticancer drugs has the potential to illuminate complex pathways underlying toxicities induced by these innovative drugs. While side effect association knowledge for targeted drugs exists in multiple heterogeneous data sources, published full-text oncological articles represent an important source of pivotal, investigational, and even failed trials in a variety of patient populations. In this study, we present an automatic process to extract targeted anticancer drug-associated side effects (drug-SE pairs) from a large number of high profile full-text oncological articles. We downloaded 13,855 full-text articles from the Journal of Oncology (JCO) published between 1983 and 2013. We developed text classification, relationship extraction, signaling filtering, and signal prioritization algorithms to extract drug-SE pairs from downloaded articles. We extracted a total of 26,264 drug-SE pairs with an average precision of 0.405, a recall of 0.899, and an F1 score of 0.465. We show that side effect knowledge from JCO articles is largely complementary to that from the US Food and Drug Administration (FDA) drug labels. Through integrative correlation analysis, we show that targeted drug-associated side effects positively correlate with their gene targets and disease indications. In conclusion, this unique database that we built from a large number of high-profile oncological articles could facilitate the development of computational models to understand toxic effects associated with targeted anticancer drugs. Copyright © 2015 Elsevier Inc. All rights reserved.

PENENTUAN FAKTOR DAN TARAF FAKTOR DALAM PENGENDALIAN KUALITAS PRODUKSI BENANG PCM DI PT APAC INTI CORPORA DENGAN METODE DESAIN EKSPERIMEN

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Darminto Pujotomo

2012-02-01

Full Text Available PT. APAC Inti Corpora merupakan salah satu perusahaan tekstil yang terbesar di Asia Tenggara dimana salah satu jenis produknya adalah benang PCM yang dihasilkan oleh departemen spinning 4. Permasalahan yang muncul adalah produk akhir yang cacat melebihi target perusahaan sebesar 0,8% dari total produksi, sedangkan perusahaan dituntut untuk menghasilkan produk cacat seminimal mungkin. Masalah ini muncul karena masih banyaknya cacat yang timbul pada benang PCM yang didominan oleh cacat crossing (24,67%,  cacat ring cone (21,98%, cacat tanpa ekor (16,02% dan kontaminasi (12,50%. Penelitian ini dimaksudkan untuk melakukan penilaian terhadap proses yang terjadi dan apabila ternyata memang terjadi proses yang tidak terkendali maka selanjutnya akan dilakukan identifikasi dan analisa faktor-faktor yang mempunyai pengaruh secara signifikan terhadap ttimbulnya cacat crossing pada benang PCM. Metode yang digunakan untuk menilai proses operasi adalah metode pengendalian proses statistik (statistical process control, sedangkan metode yang digunakan untuk menganalisa faktor-faktor yang berpengaruh terhadap timbulnya cacat benang PCM adalah metode desain eksperimen faktorial.  Dari grafik pengendali dan penentuan kemampuan proses dapat diketahui bahwa proses operasi yang terjadi berada di luar kontrol karena menghasilkan cukup banyak produk cacat. Faktor-faktor yang akan diteliti dalam penelitian ini adalah faktor ukuran benang, umur mesin dan kecepatan mesin yang masing-masing faktor terdiri dari 2 taraf faktor. Faktor ukuran benang terdiri dari tipis dan tebal. Faktor umur mesin terdiri dari mesin lama dan mesin baru.Faktor kecepatan mesin terdiri dari 900 MPM dan 1000 MPM. Berdasarkaan perhitungan analisa variansi (ANAVA dan test hipotesa, faktor yang signifikan menyebabkan timbulnya cacat crossing adalah faktor ukuran benang  dan umur mesin.   Kata kunci : cacat crossing, pengendalian kualitas, ANAVA   PT.APAC Inti Corpora is the largest textile

Level set segmentation of bovine corpora lutea in ex situ ovarian ultrasound images

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Adams Gregg P

2008-08-01

Full Text Available Abstract Background The objective of this study was to investigate the viability of level set image segmentation methods for the detection of corpora lutea (corpus luteum, CL boundaries in ultrasonographic ovarian images. It was hypothesized that bovine CL boundaries could be located within 1–2 mm by a level set image segmentation methodology. Methods Level set methods embed a 2D contour in a 3D surface and evolve that surface over time according to an image-dependent speed function. A speed function suitable for segmentation of CL's in ovarian ultrasound images was developed. An initial contour was manually placed and contour evolution was allowed to proceed until the rate of change of the area was sufficiently small. The method was tested on ovarian ultrasonographic images (n = 8 obtained ex situ. A expert in ovarian ultrasound interpretation delineated CL boundaries manually to serve as a "ground truth". Accuracy of the level set segmentation algorithm was determined by comparing semi-automatically determined contours with ground truth contours using the mean absolute difference (MAD, root mean squared difference (RMSD, Hausdorff distance (HD, sensitivity, and specificity metrics. Results and discussion The mean MAD was 0.87 mm (sigma = 0.36 mm, RMSD was 1.1 mm (sigma = 0.47 mm, and HD was 3.4 mm (sigma = 2.0 mm indicating that, on average, boundaries were accurate within 1–2 mm, however, deviations in excess of 3 mm from the ground truth were observed indicating under- or over-expansion of the contour. Mean sensitivity and specificity were 0.814 (sigma = 0.171 and 0.990 (sigma = 0.00786, respectively, indicating that CLs were consistently undersegmented but rarely did the contour interior include pixels that were judged by the human expert not to be part of the CL. It was observed that in localities where gradient magnitudes within the CL were strong due to high contrast speckle, contour expansion stopped too early. Conclusion The

SparkText: Biomedical Text Mining on Big Data Framework.

Science.gov (United States)

Ye, Zhan; Tafti, Ahmad P; He, Karen Y; Wang, Kai; He, Max M

Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments. Rapid yet accurate text mining on large-scale scientific literature can discover novel knowledge to better understand human diseases and to improve the quality of disease diagnosis, prevention, and treatment. In this study, we designed and developed an efficient text mining framework called SparkText on a Big Data infrastructure, which is composed of Apache Spark data streaming and machine learning methods, combined with a Cassandra NoSQL database. To demonstrate its performance for classifying cancer types, we extracted information (e.g., breast, prostate, and lung cancers) from tens of thousands of articles downloaded from PubMed, and then employed Naïve Bayes, Support Vector Machine (SVM), and Logistic Regression to build prediction models to mine the articles. The accuracy of predicting a cancer type by SVM using the 29,437 full-text articles was 93.81%. While competing text-mining tools took more than 11 hours, SparkText mined the dataset in approximately 6 minutes. This study demonstrates the potential for mining large-scale scientific articles on a Big Data infrastructure, with real-time update from new articles published daily. SparkText can be extended to other areas of biomedical research.

SparkText: Biomedical Text Mining on Big Data Framework.

Directory of Open Access Journals (Sweden)

Zhan Ye

Full Text Available Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments. Rapid yet accurate text mining on large-scale scientific literature can discover novel knowledge to better understand human diseases and to improve the quality of disease diagnosis, prevention, and treatment.In this study, we designed and developed an efficient text mining framework called SparkText on a Big Data infrastructure, which is composed of Apache Spark data streaming and machine learning methods, combined with a Cassandra NoSQL database. To demonstrate its performance for classifying cancer types, we extracted information (e.g., breast, prostate, and lung cancers from tens of thousands of articles downloaded from PubMed, and then employed Naïve Bayes, Support Vector Machine (SVM, and Logistic Regression to build prediction models to mine the articles. The accuracy of predicting a cancer type by SVM using the 29,437 full-text articles was 93.81%. While competing text-mining tools took more than 11 hours, SparkText mined the dataset in approximately 6 minutes.This study demonstrates the potential for mining large-scale scientific articles on a Big Data infrastructure, with real-time update from new articles published daily. SparkText can be extended to other areas of biomedical research.

SparkText: Biomedical Text Mining on Big Data Framework

Science.gov (United States)

He, Karen Y.; Wang, Kai

2016-01-01

Background Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments. Rapid yet accurate text mining on large-scale scientific literature can discover novel knowledge to better understand human diseases and to improve the quality of disease diagnosis, prevention, and treatment. Results In this study, we designed and developed an efficient text mining framework called SparkText on a Big Data infrastructure, which is composed of Apache Spark data streaming and machine learning methods, combined with a Cassandra NoSQL database. To demonstrate its performance for classifying cancer types, we extracted information (e.g., breast, prostate, and lung cancers) from tens of thousands of articles downloaded from PubMed, and then employed Naïve Bayes, Support Vector Machine (SVM), and Logistic Regression to build prediction models to mine the articles. The accuracy of predicting a cancer type by SVM using the 29,437 full-text articles was 93.81%. While competing text-mining tools took more than 11 hours, SparkText mined the dataset in approximately 6 minutes. Conclusions This study demonstrates the potential for mining large-scale scientific articles on a Big Data infrastructure, with real-time update from new articles published daily. SparkText can be extended to other areas of biomedical research. PMID:27685652

The Keyword Bank as a tool for finding exclusive keywords in WordSmith Tools

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Tony Berber Sardinha

2008-12-01

Full Text Available KeyWords is a very useful program for computer text analysis found in WordSmith Tools. A problem with KeyWords, though, is the large number of keywords returned by the program, which can be at least 500. This paper proposes a procedure for making reductions in lists of keywords based on the concept of exclusive keywords. These are words that are key in the study corpus only, in comparison to lots of others. This procedure draws on the existence of a keyword bank, which is a collection of keywords from several corpora. When contrasted to a study corpus, the keyword bank brings up keywords that are found in the study corpus only, leaving out those that are key in other corpora. This enables the researcher to focus on words that are most typical of his/her own corpus. The analysis reported here, carried out with a large multi-register keyword bank, suggests that the keyword bank achieved its goal, by allowing for a 77% reduction in the total keywords, and by selecting keywords that are most representative of the study corpus in question.

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research.

Science.gov (United States)

Bravo, Àlex; Piñero, Janet; Queralt-Rosinach, Núria; Rautschka, Michael; Furlong, Laura I

2015-02-21

Current biomedical research needs to leverage and exploit the large amount of information reported in scientific publications. Automated text mining approaches, in particular those aimed at finding relationships between entities, are key for identification of actionable knowledge from free text repositories. We present the BeFree system aimed at identifying relationships between biomedical entities with a special focus on genes and their associated diseases. By exploiting morpho-syntactic information of the text, BeFree is able to identify gene-disease, drug-disease and drug-target associations with state-of-the-art performance. The application of BeFree to real-case scenarios shows its effectiveness in extracting information relevant for translational research. We show the value of the gene-disease associations extracted by BeFree through a number of analyses and integration with other data sources. BeFree succeeds in identifying genes associated to a major cause of morbidity worldwide, depression, which are not present in other public resources. Moreover, large-scale extraction and analysis of gene-disease associations, and integration with current biomedical knowledge, provided interesting insights on the kind of information that can be found in the literature, and raised challenges regarding data prioritization and curation. We found that only a small proportion of the gene-disease associations discovered by using BeFree is collected in expert-curated databases. Thus, there is a pressing need to find alternative strategies to manual curation, in order to review, prioritize and curate text-mining data and incorporate it into domain-specific databases. We present our strategy for data prioritization and discuss its implications for supporting biomedical research and applications. BeFree is a novel text mining system that performs competitively for the identification of gene-disease, drug-disease and drug-target associations. Our analyses show that mining only a

Context-dependent modelling of English vowels in Sepedi code-switched speech

CSIR Research Space (South Africa)

Modipa, TI

2012-11-01

Full Text Available multilingual systems (combining dictionaries, language and/or acoustic models from multiple languages) or by running more than one monolingual system in parallel, switching from the one to the other [2], [3]. We are interested in the first approach.... DATA In this section we describe the data used during experiments: the audio corpora, phone sets and dictionaries. A. Audio corpora We use two different audio corpora for the experiments: a general Sepedi corpus (NCHLT [8]) and a custom...

Reduction Corporoplasty

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Tariq S. Hakky

2015-04-01

Full Text Available Objective Here we present the first video demonstration of reduction corporoplasty in the management of phallic disfigurement in a 17 year old man with a history sickle cell disease and priapism. Introduction Surgical management of aneurysmal dilation of the corpora has yet to be defined in the literature. Materials and Methods: We preformed bilateral elliptical incisions over the lateral corpora as management of aneurysmal dilation of the corpora to correct phallic disfigurement. Results The patient tolerated the procedure well and has resolution of his corporal disfigurement. Conclusions Reduction corporoplasty using bilateral lateral elliptical incisions in the management of aneurysmal dilation of the corpora is a safe an feasible operation in the management of phallic disfigurement.

Constructing Model of Relationship among Behaviors and Injuries to Products Based on Large Scale Text Data on Injuries

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Nomori, Koji; Kitamura, Koji; Motomura, Yoichi; Nishida, Yoshifumi; Yamanaka, Tatsuhiro; Komatsubara, Akinori

In Japan, childhood injury prevention is urgent issue. Safety measures through creating knowledge of injury data are essential for preventing childhood injuries. Especially the injury prevention approach by product modification is very important. The risk assessment is one of the most fundamental methods to design safety products. The conventional risk assessment has been carried out subjectively because product makers have poor data on injuries. This paper deals with evidence-based risk assessment, in which artificial intelligence technologies are strongly needed. This paper describes a new method of foreseeing usage of products, which is the first step of the evidence-based risk assessment, and presents a retrieval system of injury data. The system enables a product designer to foresee how children use a product and which types of injuries occur due to the product in daily environment. The developed system consists of large scale injury data, text mining technology and probabilistic modeling technology. Large scale text data on childhood injuries was collected from medical institutions by an injury surveillance system. Types of behaviors to a product were derived from the injury text data using text mining technology. The relationship among products, types of behaviors, types of injuries and characteristics of children was modeled by Bayesian Network. The fundamental functions of the developed system and examples of new findings obtained by the system are reported in this paper.

Viana, V.; Tagnin, S. E. O. (orgs.. Corpora no ensino de línguas estrangeiras DOI: 10.5007/2175-7968.2011v1n27p294

Directory of Open Access Journals (Sweden)

Leticia Rebollo Couto

2011-11-01

Full Text Available Os trabalhos agrupados neste volume exploram através do viés da Linguística de Corpus, aplicações para o ensino de línguas e de tradução, além de oferecerem subsídios teóricos e reflexões sobre essa emergente subárea dos estudos lingüísticos. Corpora no Ensino de Línguas Estrangeiras é o primeiro volume de seu gênero no mercado editorial brasileiro e inova pelo tema e por congregar pesquisadores experientes e professores de línguas que juntos oferecem ao leitor elementos para aguçar a sua curiosidade e colocar em prática, na sua sala de aula, algumas das sugestões oferecidas pelos autores. O livro, além de estabelecer mais firmemente o perfil da pesquisa e das aplicações da Linguística de Corpus no Brasil, é de interesse para professores de línguas, tradutores, lingüistas e outros profissionais da área de Letras, que certamente nele encontrarão o alicerce para o desenvolvimento de suas competências nas metodologias e aplicações desse estimulante campo do saber.

Text mining from ontology learning to automated text processing applications

CERN Document Server

Biemann, Chris

2014-01-01

This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequisite to build lexical resources such as dictionaries and ontologies and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects

Vertebral morphology, dentition, age, growth, and ecology of the large lamniform shark Cardabiodon ricki

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Michael G. Newbrey

2015-12-01

Full Text Available Cardabiodon ricki and Cardabiodon venator were large lamniform sharks with a patchy but global distribution in the Cenomanian and Turonian. Their teeth are generally rare and skeletal elements are less common. The centra of Cardabiodon ricki can be distinguished from those of other lamniforms by their unique combination of characteristics: medium length, round articulating outline with a very thick corpus calcareum, a corpus calcareum with a laterally flat rim, robust radial lamellae, thick radial lamellae that occur in low density, concentric lamellae absent, small circular or subovate pores concentrated next to each corpus calcareum, and papillose circular ridges on the surface of the corpus calcareum. The large diameter and robustness of the centra of two examined specimens suggest that Cardabiodon was large, had a rigid vertebral column, and was a fast swimmer. The sectioned corpora calcarea show both individuals deposited 13 bands (assumed to represent annual increments after the birth ring. The identification of the birth ring is supported in the holotype of Cardabiodon ricki as the back-calculated tooth size at age 0 is nearly equal to the size of the smallest known isolated tooth of this species. The birth ring size (5–6.6 mm radial distance [RD] overlaps with that of Archaeolamna kopingensis (5.4 mm RD and the range of variation of Cretoxyrhina mantelli (6–11.6 mm RD from the Smoky Hill Chalk, Niobrara Formation. The revised, reconstructed lower jaw dentition of the holotype of Cardabiodon ricki contains four anterior and 12 lateroposterior files. Total body length is estimated at 5.5 m based on 746 mm lower jaw bite circumference reconstructed from associated teeth of the holotype.

Discovery Learning and Teaching with Electronic Corpora in an Advanced German Grammar Course

Science.gov (United States)

Vyatkina, Nina

2013-01-01

This study describes the design and implementation of a usage-based and corpus-based advanced German grammar course. Teaching materials for the course included DWDS, or "Digitales Worterbuch der deutschen Sprache": a large, representative, free and publicly available corpus of contemporary German texts. The article outlines specific…

Emotion Analysis on Social Big Data

Institute of Scientific and Technical Information of China (English)

REN Fuji; Kazuyuki Matsumoto

2017-01-01

In this paper, we describe a method of emotion analysis on social big data. Social big data means text data that is emerging on In-ternet social networking services.We collect multilingual web corpora and annotated emotion tags to these corpora for the purpose of emotion analysis. Because these data are constructed by manual annotation, their quality is high but their quantity is low. If we create an emotion analysis model based on this corpus with high quality and use the model for the analysis of social big data, we might be able to statistically analyze emotional sensesand behavior of the people in Internet communications, which we could not know before. In this paper, we create an emotion analysis model that integrate the high-quality emotion corpus and the automatic-constructed corpus that we created in our past studies, and then analyze a large-scale corpus consisting of Twitter tweets based on the model. As the result of time-series analysis on the large-scale corpus and the result of model evaluation, we show the effective-ness of our proposed method.

Exogenous estradiol enhances apoptosis in regressing post-partum rat corpora lutea possibly mediated by prolactin

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Telleria Carlos M

2005-08-01

Full Text Available Abstract Background In pregnant rats, structural luteal regression takes place after parturition and is associated with cell death by apoptosis. We have recently shown that the hormonal environment is responsible for the fate of the corpora lutea (CL. Changing the levels of circulating hormones in post-partum rats, either by injecting androgen, progesterone, or by allowing dams to suckle, was coupled with a delay in the onset of apoptosis in the CL. The objectives of the present investigation were: i to examine the effect of exogenous estradiol on apoptosis of the rat CL during post-partum luteal regression; and ii to evaluate the post-partum luteal expression of the estrogen receptor (ER genes. Methods In a first experiment, rats after parturition were separated from their pups and injected daily with vehicle or estradiol benzoate for 4 days. On day 4 post-partum, animals were sacrificed, blood samples were taken to determine serum concentrations of hormones, and the ovaries were isolated to study apoptosis in situ. In a second experiment, non-lactating rats after parturition received vehicle, estradiol benzoate or estradiol benzoate plus bromoergocryptine for 4 days, and their CL were isolated and used to study apoptosis ex vivo. In a third experiment, we obtained CL from rats on day 15 of pregnancy and from non-lactating rats on day 4 post-partum, and studied the expression of the messenger RNAs (mRNAs encoding the ERalpha and ERbeta genes. Results Exogenous administration of estradiol benzoate induced an increase in the number of apoptotic cells within the CL on day 4 post-partum when compared with animals receiving vehicle alone. Animals treated with the estrogen had higher serum prolactin and progesterone concentrations, with no changes in serum androstenedione. Administration of bromoergocryptine blocked the increase in serum prolactin and progesterone concentrations, and DNA fragmentation induced by the estrogen treatment. ERalpha and

Data for lexicography The central role of the corpus

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Allan F. Lauder

2010-10-01

Full Text Available This paper looks at the nature of data for lexicography and in particular on the central role that electronic corpora can play in providing it. Data has traditionally come from existing dictionaries, citations, and from the lexicographer’s own knowledge of words, through introspection. Each of these is examined and evaluated. Then the electronic corpus is considered. Different kinds of corpora are described and key design criteria are explained, in particular the size of corpus needed for lexicography as well as the issue of representativeness and sampling. The advantages and disadvantages of corpora are weighed and compared against the other types of data. While each of these has benefits, it is argued that corpora are a requirement, not an option, as data for dictionary making.

The socio-demographics of texting

DEFF Research Database (Denmark)

Ling, Richard; Bertel, Troels Fibæk; Sundsøy, Pål

2012-01-01

Who texts, and with whom do they text? This article examines the use of texting using metered traffic data from a large dataset (nearly 400 million anonymous text messages). We ask 1) How much do different age groups use mobile phone based texting (SMS)? 2) How wide is the circle of texting...

Combining machine learning, crowdsourcing and expert knowledge to detect chemical-induced diseases in text.

Science.gov (United States)

Bravo, Àlex; Li, Tong Shu; Su, Andrew I; Good, Benjamin M; Furlong, Laura I

2016-01-01

Drug toxicity is a major concern for both regulatory agencies and the pharmaceutical industry. In this context, text-mining methods for the identification of drug side effects from free text are key for the development of up-to-date knowledge sources on drug adverse reactions. We present a new system for identification of drug side effects from the literature that combines three approaches: machine learning, rule- and knowledge-based approaches. This system has been developed to address the Task 3.B of Biocreative V challenge (BC5) dealing with Chemical-induced Disease (CID) relations. The first two approaches focus on identifying relations at the sentence-level, while the knowledge-based approach is applied both at sentence and abstract levels. The machine learning method is based on the BeFree system using two corpora as training data: the annotated data provided by the CID task organizers and a new CID corpus developed by crowdsourcing. Different combinations of results from the three strategies were selected for each run of the challenge. In the final evaluation setting, the system achieved the highest Recall of the challenge (63%). By performing an error analysis, we identified the main causes of misclassifications and areas for improving of our system, and highlighted the need of consistent gold standard data sets for advancing the state of the art in text mining of drug side effects.Database URL: https://zenodo.org/record/29887?ln¼en#.VsL3yDLWR_V. © The Author(s) 2016. Published by Oxford University Press.

Os regimentos das corporações dos ofícios mecânicos: O caso do Retábulo-mor da Sé de Lamego (1506-1511 do pintor português Vasco Fernandes

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Joana Salgueiro

2010-08-01

Full Text Available O núcleo em estudo: Retábulo-mor da Sé de Lamego (1506-1511, obra de incontestável importância histórico-artística do pintor quinhentista Vasco Fernandes, “Grão Vasco”, é um conjunto valiosamente documentado pelo seu contrato de obra, que subsistiu até à actualidade. No entanto, sabe-se que muitas vezes os dados empiricamente percepcionados ou mesmo presentes nos actos notariais relativos à feitura do retábulo, por inúmeras razões, nem sempre correspondem na íntegra à realidade. O trabalho que se segue, tem como objectivo, cruzar o conhecimento técnico e material dos suportes destas pinturas, com os dados analisados nos regimentos das corporações dos ofícios mecânicos do trabalho das madeiras: carpinteiros, carpinteiros de marcenaria, marceneiros, entalhadores (e por comparação pintores; de modo a determinar, através das metodologias de examinação dos aprendizes dos ofícios, e restantes normativas, as técnicas e materiais de execução exigidas, no contexto histórico do período Renascentista português.

PathText: a text mining integrator for biological pathway visualizations

Science.gov (United States)

Kemper, Brian; Matsuzaki, Takuya; Matsuoka, Yukiko; Tsuruoka, Yoshimasa; Kitano, Hiroaki; Ananiadou, Sophia; Tsujii, Jun'ichi

2010-01-01

Motivation: Metabolic and signaling pathways are an increasingly important part of organizing knowledge in systems biology. They serve to integrate collective interpretations of facts scattered throughout literature. Biologists construct a pathway by reading a large number of articles and interpreting them as a consistent network, but most of the models constructed currently lack direct links to those articles. Biologists who want to check the original articles have to spend substantial amounts of time to collect relevant articles and identify the sections relevant to the pathway. Furthermore, with the scientific literature expanding by several thousand papers per week, keeping a model relevant requires a continuous curation effort. In this article, we present a system designed to integrate a pathway visualizer, text mining systems and annotation tools into a seamless environment. This will enable biologists to freely move between parts of a pathway and relevant sections of articles, as well as identify relevant papers from large text bases. The system, PathText, is developed by Systems Biology Institute, Okinawa Institute of Science and Technology, National Centre for Text Mining (University of Manchester) and the University of Tokyo, and is being used by groups of biologists from these locations. Contact: brian@monrovian.com. PMID:20529930

Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts.

Science.gov (United States)

Gómez-Adorno, Helena; Markov, Ilia; Sidorov, Grigori; Posadas-Durán, Juan-Pablo; Sanchez-Perez, Miguel A; Chanona-Hernandez, Liliana

2016-01-01

We introduce a lexical resource for preprocessing social media data. We show that a neural network-based feature representation is enhanced by using this resource. We conducted experiments on the PAN 2015 and PAN 2016 author profiling corpora and obtained better results when performing the data preprocessing using the developed lexical resource. The resource includes dictionaries of slang words, contractions, abbreviations, and emoticons commonly used in social media. Each of the dictionaries was built for the English, Spanish, Dutch, and Italian languages. The resource is freely available.

A novel procedure on next generation sequencing data analysis using text mining algorithm.

Science.gov (United States)

Zhao, Weizhong; Chen, James J; Perkins, Roger; Wang, Yuping; Liu, Zhichao; Hong, Huixiao; Tong, Weida; Zou, Wen

2016-05-13

Next-generation sequencing (NGS) technologies have provided researchers with vast possibilities in various biological and biomedical research areas. Efficient data mining strategies are in high demand for large scale comparative and evolutional studies to be performed on the large amounts of data derived from NGS projects. Topic modeling is an active research field in machine learning and has been mainly used as an analytical tool to structure large textual corpora for data mining. We report a novel procedure to analyse NGS data using topic modeling. It consists of four major procedures: NGS data retrieval, preprocessing, topic modeling, and data mining using Latent Dirichlet Allocation (LDA) topic outputs. The NGS data set of the Salmonella enterica strains were used as a case study to show the workflow of this procedure. The perplexity measurement of the topic numbers and the convergence efficiencies of Gibbs sampling were calculated and discussed for achieving the best result from the proposed procedure. The output topics by LDA algorithms could be treated as features of Salmonella strains to accurately describe the genetic diversity of fliC gene in various serotypes. The results of a two-way hierarchical clustering and data matrix analysis on LDA-derived matrices successfully classified Salmonella serotypes based on the NGS data. The implementation of topic modeling in NGS data analysis procedure provides a new way to elucidate genetic information from NGS data, and identify the gene-phenotype relationships and biomarkers, especially in the era of biological and medical big data. The implementation of topic modeling in NGS data analysis provides a new way to elucidate genetic information from NGS data, and identify the gene-phenotype relationships and biomarkers, especially in the era of biological and medical big data.

Linguistic positivity in historical texts reflects dynamic environmental and psychological factors.

Science.gov (United States)

Iliev, Rumen; Hoover, Joe; Dehghani, Morteza; Axelrod, Robert

2016-12-06

People use more positive words than negative words. Referred to as "linguistic positivity bias" (LPB), this effect has been found across cultures and languages, prompting the conclusion that it is a panhuman tendency. However, although multiple competing explanations of LPB have been proposed, there is still no consensus on what mechanism(s) generate LPB or even on whether it is driven primarily by universal cognitive features or by environmental factors. In this work we propose that LPB has remained unresolved because previous research has neglected an essential dimension of language: time. In four studies conducted with two independent, time-stamped text corpora (Google books Ngrams and the New York Times), we found that LPB in American English has decreased during the last two centuries. We also observed dynamic fluctuations in LPB that were predicted by changes in objective environment, i.e., war and economic hardships, and by changes in national subjective happiness. In addition to providing evidence that LPB is a dynamic phenomenon, these results suggest that cognitive mechanisms alone cannot account for the observed dynamic fluctuations in LPB. At the least, LPB likely arises from multiple interacting mechanisms involving subjective, objective, and societal factors. In addition to having theoretical significance, our results demonstrate the value of newly available data sources in addressing long-standing scientific questions.

The journey from texting to applications on personally owned devices to enhance student eEngagement in large lectures: A pilot study

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Trevor Nesbit

Full Text Available Increasing class sizes to gain economies of scale have resulted in less interaction between lecturers and students during lectures. This paper presented the results of a pilot study that set out to examine the use of applications on personally owned devices (APODs to enhance student interaction, participation and engagement in large lectures. The pilot study commences with the development and trial of a text messaging based application, and after a survey of students regarding ownership levels of mobile devices, concludes with the trial of an application developed for mobile devices. The conclusions of the paper highlight that the use of APODs can significantly increase student interaction, participation and engagement in large lectures and identifies implications and opportunities for further research.

Working with text tools, techniques and approaches for text mining

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Tourte, Gregory J L

2016-01-01

Text mining tools and technologies have long been a part of the repository world, where they have been applied to a variety of purposes, from pragmatic aims to support tools. Research areas as diverse as biology, chemistry, sociology and criminology have seen effective use made of text mining technologies. Working With Text collects a subset of the best contributions from the 'Working with text: Tools, techniques and approaches for text mining' workshop, alongside contributions from experts in the area. Text mining tools and technologies in support of academic research include supporting research on the basis of a large body of documents, facilitating access to and reuse of extant work, and bridging between the formal academic world and areas such as traditional and social media. Jisc have funded a number of projects, including NaCTem (the National Centre for Text Mining) and the ResDis programme. Contents are developed from workshop submissions and invited contributions, including: Legal considerations in te...

Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts

OpenAIRE

Tulkens, Stéphan; Šuster, Simon; Daelemans, Walter

2016-01-01

In this paper, we report a knowledge-based method for Word Sense Disambiguation in the domains of biomedical and clinical text. We combine word representations created on large corpora with a small number of definitions from the UMLS to create concept representations, which we then compare to representations of the context of ambiguous terms. Using no relational information, we obtain comparable performance to previous approaches on the MSH-WSD dataset, which is a well-known dataset in the bi...

An annotated corpus with nanomedicine and pharmacokinetic parameters

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Lewinski NA

2017-10-01

Full Text Available Nastassja A Lewinski,1 Ivan Jimenez,1 Bridget T McInnes2 1Department of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA, 2Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA Abstract: A vast amount of data on nanomedicines is being generated and published, and natural language processing (NLP approaches can automate the extraction of unstructured text-based data. Annotated corpora are a key resource for NLP and information extraction methods which employ machine learning. Although corpora are available for pharmaceuticals, resources for nanomedicines and nanotechnology are still limited. To foster nanotechnology text mining (NanoNLP efforts, we have constructed a corpus of annotated drug product inserts taken from the US Food and Drug Administration’s Drugs@FDA online database. In this work, we present the development of the Engineered Nanomedicine Database corpus to support the evaluation of nanomedicine entity extraction. The data were manually annotated for 21 entity mentions consisting of nanomedicine physicochemical characterization, exposure, and biologic response information of 41 Food and Drug Administration-approved nanomedicines. We evaluate the reliability of the manual annotations and demonstrate the use of the corpus by evaluating two state-of-the-art named entity extraction systems, OpenNLP and Stanford NER. The annotated corpus is available open source and, based on these results, guidelines and suggestions for future development of additional nanomedicine corpora are provided. Keywords: nanotechnology, informatics, natural language processing, text mining, corpora

BC4GO: a full-text corpus for the BioCreative IV GO task.

Science.gov (United States)

Van Auken, Kimberly; Schaeffer, Mary L; McQuilton, Peter; Laulederkind, Stanley J F; Li, Donghui; Wang, Shur-Jen; Hayman, G Thomas; Tweedie, Susan; Arighi, Cecilia N; Done, James; Müller, Hans-Michael; Sternberg, Paul W; Mao, Yuqing; Wei, Chih-Hsuan; Lu, Zhiyong

2014-01-01

Gene function curation via Gene Ontology (GO) annotation is a common task among Model Organism Database groups. Owing to its manual nature, this task is considered one of the bottlenecks in literature curation. There have been many previous attempts at automatic identification of GO terms and supporting information from full text. However, few systems have delivered an accuracy that is comparable with humans. One recognized challenge in developing such systems is the lack of marked sentence-level evidence text that provides the basis for making GO annotations. We aim to create a corpus that includes the GO evidence text along with the three core elements of GO annotations: (i) a gene or gene product, (ii) a GO term and (iii) a GO evidence code. To ensure our results are consistent with real-life GO data, we recruited eight professional GO curators and asked them to follow their routine GO annotation protocols. Our annotators marked up more than 5000 text passages in 200 articles for 1356 distinct GO terms. For evidence sentence selection, the inter-annotator agreement (IAA) results are 9.3% (strict) and 42.7% (relaxed) in F1-measures. For GO term selection, the IAAs are 47% (strict) and 62.9% (hierarchical). Our corpus analysis further shows that abstracts contain ∼ 10% of relevant evidence sentences and 30% distinct GO terms, while the Results/Experiment section has nearly 60% relevant sentences and >70% GO terms. Further, of those evidence sentences found in abstracts, less than one-third contain enough experimental detail to fulfill the three core criteria of a GO annotation. This result demonstrates the need of using full-text articles for text mining GO annotations. Through its use at the BioCreative IV GO (BC4GO) task, we expect our corpus to become a valuable resource for the BioNLP research community. Database URL: http://www.biocreative.org/resources/corpora/bc-iv-go-task-corpus/. Published by Oxford University Press 2014. This work is written by US

Literary Hermeneutic - A Large Vision upon the Text

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Elena Vorotneac

2011-12-01

Full Text Available This article represents the book “Literary Hermeneutic” by Victoria Fonari, Ph.D., State University of Moldova. Hermeneutic, as a researching object, includes literary, critical, theological, juridical, linguistic, psychological, verbal and sociological knowledge. Literary Hermeneutic is one of the most favored disciplines. It is venerated both in Homeric exegesis from antiquity and in the improvement of the methodology interpretation of the canonical works, in which a vain moment is texts’ deciphering – the monuments and authors’ comment from times immemorial, thus re-establishing a part of human values. The re-establishing of the connections between the values of the past and their understanding from the present prospect is due to literary interpretation. The demands of the paradigm of the literary and artistic interpretation, constitutes a basic element which is important both for the writing of academic researches and for the literary values of understanding. It directs the student to scientific works and facilitated the professional activity of teachers, journalists, jurists and translators.

СЕМАНТИЧЕСКАЯ РАЗМЕТКА НАЦИОНАЛЬНОГО КОРПУСА ЧУВАШСКОГО ЯЗЫКА

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Zheltov, P.V.

2016-09-01

Full Text Available In the paper is described the system of semantic tags ready to use in the National Corpora of Chuvash language. The approach used for this purpose is based on the semantic classification of the lexicon and turns to be universal and applicable to any other languages. The practical benefit of tagging the vocabulary and the text corpora is the improvement of the search results quality and the extension of user’s facilities. The tagging and the semantic classification must be oriented towards some paradigms of programming. We have chosen the functional paradigm.

An Analysis of The Oxford Guide to Practical Lexicography (Atkins and Rundell 2008

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Gilles-Maurice de Schryver

2011-10-01

Full Text Available

Abstract: Since at least a decade ago, the lexicographic community at large has been demandingthat a modern textbook be designed — one that would place corpora at the centre of the lexicographicenterprise. Written by two of the most respected practising lexicographers, this book hasfinally arrived, and delivers on very many levels. This review article presents a critical analysis ofits features.

Keywords: LEXICOGRAPHY, LEARNERS' DICTIONARY, MONOLINGUAL, BILINGUAL,CORPUS, FRAME SEMANTICS, ENGLISH, FRENCH, TEXTBOOK

Samenvatting: Een analyse van The Oxford Guide to Practical Lexicography(Atkins en Rundell 2008. Al minstens tien jaar lang eist de volledige lexicografischegemeenschap dat een modern tekstboek zou worden ontworpen — één dat corpora in het centrumvan de lexicografische belangstelling zou plaatsen. Geschreven door twee van de meest gerespecteerdepraktiserende lexicografen, is dit boek er nu eindelijk, en het ontgoochelt niet. Dit recensieartikelanalyseert de kenmerken ervan kritisch.

Sleutelwoorden: LEXICOGRAFIE, LEERWOORDENBOEK, VERKLAREND (MONOLINGUAAL,VERTALEND (BILINGUAAL, CORPUS, FRAME SEMANTICS, ENGELS, FRANS,TEKSTBOEK

Finding Translation Examples for Under-Resourced Language Pairs or for Narrow Domains; the Case for Machine Translation

Directory of Open Access Journals (Sweden)

Dan Tufis

2012-07-01

Full Text Available The cyberspace is populated with valuable information sources, expressed in about 1500 different languages and dialects. Yet, for the vast majority of WEB surfers this wealth of information is practically inaccessible or meaningless. Recent advancements in cross-lingual information retrieval, multilingual summarization, cross-lingual question answering and machine translation promise to narrow the linguistic gaps and lower the communication barriers between humans and/or software agents. Most of these language technologies are based on statistical machine learning techniques which require large volumes of cross lingual data. The most adequate type of cross-lingual data is represented by parallel corpora, collection of reciprocal translations. However, it is not easy to find enough parallel data for any language pair might be of interest. When required parallel data refers to specialized (narrow domains, the scarcity of data becomes even more acute. Intelligent information extraction techniques from comparable corpora provide one of the possible answers to this lack of translation data.

Measurement of the [Formula: see text] and [Formula: see text] production cross sections in multilepton final states using 3.2 fb[Formula: see text] of [Formula: see text] collisions at [Formula: see text] = 13 TeV with the ATLAS detector.

Science.gov (United States)

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2017-01-01

A measurement of the [Formula: see text] and [Formula: see text] production cross sections in final states with either two same-charge muons, or three or four leptons (electrons or muons) is presented. The analysis uses a data sample of proton-proton collisions at [Formula: see text] TeV recorded with the ATLAS detector at the Large Hadron Collider in 2015, corresponding to a total integrated luminosity of 3.2 fb[Formula: see text]. The inclusive cross sections are extracted using likelihood fits to signal and control regions, resulting in [Formula: see text] pb and [Formula: see text] pb, in agreement with the Standard Model predictions.

Lexikos - Vol 6 (1996)

African Journals Online (AJOL)

Using Learner Corpora for L2 Lexicography: Information on Collocational Errors for EFL learners' · EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT. Yukio Tono, 116-132 ...

Linguistic Dating of Biblical Texts

DEFF Research Database (Denmark)

Ehrensvärd, Martin Gustaf

2003-01-01

For two centuries, scholars have pointed to consistent differences in the Hebrew of certain biblical texts and interpreted these differences as reflecting the date of composition of the texts. Until the 1980s, this was quite uncontroversial as the linguistic findings largely confirmed the chronol......For two centuries, scholars have pointed to consistent differences in the Hebrew of certain biblical texts and interpreted these differences as reflecting the date of composition of the texts. Until the 1980s, this was quite uncontroversial as the linguistic findings largely confirmed...... the chronology of the texts established by other means: the Hebrew of Genesis-2 Kings was judged to be early and that of Esther, Daniel, Ezra, Nehemiah, and Chronicles to be late. In the current debate where revisionists have questioned the traditional dating, linguistic arguments in the dating of texts have...... come more into focus. The study critically examines some linguistic arguments adduced to support the traditional position, and reviewing the arguments it points to weaknesses in the linguistic dating of EBH texts to pre-exilic times. When viewing the linguistic evidence in isolation it will be clear...

Molecular Imaging on the Cerebral Pathological Damage Target of Ketamine Dependence

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YANG Hong-jie1,2;HU Shu1;JIA Shao-wei1;GAO Zhou1;WANG Tong3;ZHAO Zheng-qin1

2014-02-01

Full Text Available To study the cerebral pathological damage target which result from abusing ketamine through molecular imaging techniques， 20 cases of ketamine dependent patients looking for treatment at the Peking University Shenzhen Hospital and 31 healthy volunteers were included in this study, all of them got brain SPECT DAT imaging. The results were analyzed by SPSS 16.0. The bilateral caudate nucleus and putamen of healthy volunteers were roughly equally large, and the radioactive distribution of DAT in healthy volunteers were uniform and symmetrical. The bilateral corpora striatum showed typical “panda eyes” pattern. But the bilateral corpora striatum of ketamine dependent patients got smaller in shape, got disorders in pattern, and the radioactive distribution of DAT reduced or defected or even got disturbance and with much more non-specific radioactive. The V, m and Ra of bilateral corpora striatum in ketamine dependent patients were （21.03±3.15） cm3, （22.08±3.31） g and （5.37±1.08） %, respectively, which were significantly lower than the healthy volunteers (p<0.01. The cerebral pathological damage target which resulted from abusing ketamine was similar to those of compound codeine phosphate antitussive solution dependence, heroin dependence and MDMA dependence, all of these psychoactive substances damaged the function of DAT.

JaSlo: Integration of a Japanese-Slovene Bilingual Dictionary with a Corpus Search System

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Kristina HMELJAK SANGAWA

2012-12-01

Full Text Available The paper presents a set of integrated on-line language resources targeted at Japanese language learners, primarily those whose mother tongue is Slovene. The resources consist of the on-line Japanese-Slovene learners’ dictionary jaSlo and two corpora, a 1 million word Japanese-Slovene parallel corpus and a 300 million word corpus of web pages, where each word and sentence is marked by its difficulty level; this corpus is furthermore available as a set of five distinct corpora, each one containing sentences of the particular level. The corpora are available for exploration through NoSketch Engine, the open source version of the commercial state-of-the-art corpus analysis software Sketch Engine. The dictionary is available for Web searching, and dictionary entries have direct links to examples from the corpora, thus offering a wider picture of a possible translations in concrete contextualised examples, and b monolingual Japanese usage examples of different difficulty levels to support language learning.

Topic modeling for cluster analysis of large biological and medical datasets.

Science.gov (United States)

Zhao, Weizhong; Zou, Wen; Chen, James J

2014-01-01

The big data moniker is nowhere better deserved than to describe the ever-increasing prodigiousness and complexity of biological and medical datasets. New methods are needed to generate and test hypotheses, foster biological interpretation, and build validated predictors. Although multivariate techniques such as cluster analysis may allow researchers to identify groups, or clusters, of related variables, the accuracies and effectiveness of traditional clustering methods diminish for large and hyper dimensional datasets. Topic modeling is an active research field in machine learning and has been mainly used as an analytical tool to structure large textual corpora for data mining. Its ability to reduce high dimensionality to a small number of latent variables makes it suitable as a means for clustering or overcoming clustering difficulties in large biological and medical datasets. In this study, three topic model-derived clustering methods, highest probable topic assignment, feature selection and feature extraction, are proposed and tested on the cluster analysis of three large datasets: Salmonella pulsed-field gel electrophoresis (PFGE) dataset, lung cancer dataset, and breast cancer dataset, which represent various types of large biological or medical datasets. All three various methods are shown to improve the efficacy/effectiveness of clustering results on the three datasets in comparison to traditional methods. A preferable cluster analysis method emerged for each of the three datasets on the basis of replicating known biological truths. Topic modeling could be advantageously applied to the large datasets of biological or medical research. The three proposed topic model-derived clustering methods, highest probable topic assignment, feature selection and feature extraction, yield clustering improvements for the three different data types. Clusters more efficaciously represent truthful groupings and subgroupings in the data than traditional methods, suggesting

A study of professional mobility in a large corporation through cognitive mapping

Directory of Open Access Journals (Sweden)

Luiz Flávio Autran Monteiro Gomes

2010-08-01

Full Text Available Decisions which are made by executives in large corporations regarding professional mobility cause changes to both their personal and professional lives. This research was carried out with the aim of creating the structuring of a professional mobility problem through the use of a decision support tool, the cognitive mapping. Through the use of this tool, a decision making structure for professional mobility was developed, taking into consideration some important aspects of this process. The cognitive mapping proposed here was a problem structuring tool which leads decision makers to a greater understanding of the problem, giving them support towards good decision making in professional mobility. Through the research carried out it was possible to identify the principal factors which lead these professionals to a professional mobility decision which is as coherent and consistent as possible with the subjective aspects of their professional reality.As decisões com relação à mobilidade profissional tomadas por executivos em grandes corporações causam mudanças em suas vidas pessoais e profissionais. A presente pesquisa foi desenvolvida com o objetivo de estruturar o problema da mobilidade profissional através de uma ferramenta de suporte à decisão: o mapa cognitivo. Esta ferramenta promove uma maior compreensão do problema pelos tomadores de decisão. Através da pesquisa desenvolvida foi possível identificar os principais fatores que levaram os profissionais a tomar a decisão de mobilidade de forma o mais coerente e consistente com os aspectos subjetivos de sua realidade profissional.

Search for dark matter at [Formula: see text] in final states containing an energetic photon and large missing transverse momentum with the ATLAS detector.

Science.gov (United States)

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Wittgen, M; Wobisch, M; Wolf, T M H; Wolff, R; Wolter, M W; Wolters, H; Wong, V W S; Worm, S D; Wosiek, B K; Wotschack, J; Wozniak, K W; Wu, M; Wu, S L; Wu, X; Wu, Y; Wyatt, T R; Wynne, B M; Xella, S; Xi, Z; Xia, L; Xu, D; Xu, L; Yabsley, B; Yacoob, S; Yamaguchi, D; Yamaguchi, Y; Yamamoto, A; Yamamoto, S; Yamanaka, T; Yamatani, M; Yamauchi, K; Yamazaki, Y; Yan, Z; Yang, H; Yang, H; Yang, Y; Yang, Z; Yao, W-M; Yap, Y C; Yasu, Y; Yatsenko, E; Yau Wong, K H; Ye, J; Ye, S; Yeletskikh, I; Yigitbasi, E; Yildirim, E; Yorita, K; Yoshihara, K; Young, C; Young, C J S; Yu, J; Yu, J; Yuen, S P Y; Yusuff, I; Zabinski, B; Zacharis, G; Zaidan, R; Zaitsev, A M; Zakharchuk, N; Zalieckas, J; Zaman, A; Zambito, S; Zanzi, D; Zeitnitz, C; Zemla, A; Zeng, J C; Zeng, Q; Zenin, O; Ženiš, T; Zerwas, D; Zhang, D; Zhang, F; Zhang, G; Zhang, H; Zhang, J; Zhang, L; Zhang, L; Zhang, M; Zhang, P; Zhang, R; Zhang, R; Zhang, X; Zhang, Y; Zhang, Z; Zhao, X; Zhao, Y; Zhao, Z; Zhemchugov, A; Zhou, B; Zhou, C; Zhou, L; Zhou, M; Zhou, M; Zhou, N; Zhu, C G; Zhu, H; Zhu, J; Zhu, Y; Zhuang, X; Zhukov, K; Zibell, A; Zieminska, D; Zimine, N I; Zimmermann, C; Zimmermann, S; Zinonos, Z; Zinser, M; Ziolkowski, M; Živković, L; Zobernig, G; Zoccoli, A; Zou, R; Zur Nedden, M; Zwalinski, L

2017-01-01

Results of a search for physics beyond the Standard Model in events containing an energetic photon and large missing transverse momentum with the ATLAS detector at the Large Hadron Collider are reported. As the number of events observed in data, corresponding to an integrated luminosity of 36.1 fb[Formula: see text]  of proton-proton collisions at a centre-of-mass energy of [Formula: see text], is in agreement with the Standard Model expectations, model-independent limits are set on the fiducial cross section for the production of events in this final state. Exclusion limits are also placed in models where dark-matter candidates are pair-produced. For dark-matter production via an axial-vector or a vector mediator in the s -channel, this search excludes mediator masses below 750-[Formula: see text] for dark-matter candidate masses below 230-[Formula: see text] at 95% confidence level, depending on the couplings. In an effective theory of dark-matter production, the limits restrict the value of the suppression scale [Formula: see text] to be above [Formula: see text] at 95% confidence level. A limit is also reported on the production of a high-mass scalar resonance by processes beyond the Standard Model, in which the resonance decays to [Formula: see text] and the Z boson subsequently decays into neutrinos.

Double sampling with multiple imputation to answer large sample meta-research questions: Introduction and illustration by evaluating adherence to two simple CONSORT guidelines

Directory of Open Access Journals (Sweden)

Patrice L. Capers

2015-03-01

Full Text Available BACKGROUND: Meta-research can involve manual retrieval and evaluation of research, which is resource intensive. Creation of high throughput methods (e.g., search heuristics, crowdsourcing has improved feasibility of large meta-research questions, but possibly at the cost of accuracy. OBJECTIVE: To evaluate the use of double sampling combined with multiple imputation (DS+MI to address meta-research questions, using as an example adherence of PubMed entries to two simple Consolidated Standards of Reporting Trials (CONSORT guidelines for titles and abstracts. METHODS: For the DS large sample, we retrieved all PubMed entries satisfying the filters: RCT; human; abstract available; and English language (n=322,107. For the DS subsample, we randomly sampled 500 entries from the large sample. The large sample was evaluated with a lower rigor, higher throughput (RLOTHI method using search heuristics, while the subsample was evaluated using a higher rigor, lower throughput (RHITLO human rating method. Multiple imputation of the missing-completely-at-random RHITLO data for the large sample was informed by: RHITLO data from the subsample; RLOTHI data from the large sample; whether a study was an RCT; and country and year of publication. RESULTS: The RHITLO and RLOTHI methods in the subsample largely agreed (phi coefficients: title=1.00, abstract=0.92. Compliance with abstract and title criteria has increased over time, with non-US countries improving more rapidly. DS+MI logistic regression estimates were more precise than subsample estimates (e.g., 95% CI for change in title and abstract compliance by Year: subsample RHITLO 1.050-1.174 vs. DS+MI 1.082-1.151. As evidence of improved accuracy, DS+MI coefficient estimates were closer to RHITLO than the large sample RLOTHI. CONCLUSIONS: Our results support our hypothesis that DS+MI would result in improved precision and accuracy. This method is flexible and may provide a practical way to examine large corpora of

Parsing with subdomain instance weighting from raw corpora

NARCIS (Netherlands)

Plank, B.; Sima'an, K.

2008-01-01

The treebanks that are used for training statistical parsers consist of hand-parsed sentences from a single source/domain like newspaper text. However, newspaper text concerns different subdomains of language use (e.g. finance, sports, politics, music), which implies that the statistics gathered by

Parsing with Subdomain Instance Weighting from Raw Corpora

NARCIS (Netherlands)

Plank, Barbara; Sima'an, Khalil

2008-01-01

The treebanks that are used for training statistical parsers consist of hand-parsed sentences from a single source/domain like newspaper text. However, newspaper text concerns different subdomains of language use (e.g. finance, sports, politics, music), which implies that the statistics gathered by

Text-Filled Stacked Area Graphs

DEFF Research Database (Denmark)

Kraus, Martin

2011-01-01

-filled stacked area graphs; i.e., graphs that feature stacked areas that are filled with small-typed text. Since these graphs allow for computing the text layout automatically, it is possible to include large amounts of textual detail with very little effort. We discuss the most important challenges and some...... solutions for the design of text-filled stacked area graphs with the help of an exemplary visualization of the genres, publication years, and titles of a database of several thousand PC games....

Quantitative analysis of large amounts of journalistic texts using topic modelling

NARCIS (Netherlands)

Jacobi, C.; van Atteveldt, W.H.; Welbers, K.

2016-01-01

The huge collections of news content which have become available through digital technologies both enable and warrant scientific inquiry, challenging journalism scholars to analyse unprecedented amounts of texts. We propose Latent Dirichlet Allocation (LDA) topic modelling as a tool to face this

Biomarker Identification Using Text Mining

Directory of Open Access Journals (Sweden)

Hui Li

2012-01-01

Full Text Available Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database.

Automatically Extracting Typical Syntactic Differences from Corpora

NARCIS (Netherlands)

Wiersma, Wybo; Nerbonne, John; Lauttamus, Timo

We develop an aggregate measure of syntactic difference for automatically finding common syntactic differences between collections of text. With the use of this measure, it is possible to mine for differences between, for example, the English of learners and natives, or between related dialects. If

A comprehensive benchmark of kernel methods to extract protein-protein interactions from literature.

Directory of Open Access Journals (Sweden)

Domonkos Tikk

Full Text Available The most important way of conveying new findings in biomedical research is scientific publication. Extraction of protein-protein interactions (PPIs reported in scientific publications is one of the core topics of text mining in the life sciences. Recently, a new class of such methods has been proposed - convolution kernels that identify PPIs using deep parses of sentences. However, comparing published results of different PPI extraction methods is impossible due to the use of different evaluation corpora, different evaluation metrics, different tuning procedures, etc. In this paper, we study whether the reported performance metrics are robust across different corpora and learning settings and whether the use of deep parsing actually leads to an increase in extraction quality. Our ultimate goal is to identify the one method that performs best in real-life scenarios, where information extraction is performed on unseen text and not on specifically prepared evaluation data. We performed a comprehensive benchmarking of nine different methods for PPI extraction that use convolution kernels on rich linguistic information. Methods were evaluated on five different public corpora using cross-validation, cross-learning, and cross-corpus evaluation. Our study confirms that kernels using dependency trees generally outperform kernels based on syntax trees. However, our study also shows that only the best kernel methods can compete with a simple rule-based approach when the evaluation prevents information leakage between training and test corpora. Our results further reveal that the F-score of many approaches drops significantly if no corpus-specific parameter optimization is applied and that methods reaching a good AUC score often perform much worse in terms of F-score. We conclude that for most kernels no sensible estimation of PPI extraction performance on new text is possible, given the current heterogeneity in evaluation data. Nevertheless, our study

Concept annotation in the CRAFT corpus.

Science.gov (United States)

Bada, Michael; Eckert, Miriam; Evans, Donald; Garcia, Kristin; Shipley, Krista; Sitnikov, Dmitry; Baumgartner, William A; Cohen, K Bretonnel; Verspoor, Karin; Blake, Judith A; Hunter, Lawrence E

2012-07-09

Manually annotated corpora are critical for the training and evaluation of automated methods to identify concepts in biomedical text. This paper presents the concept annotations of the Colorado Richly Annotated Full-Text (CRAFT) Corpus, a collection of 97 full-length, open-access biomedical journal articles that have been annotated both semantically and syntactically to serve as a research resource for the biomedical natural-language-processing (NLP) community. CRAFT identifies all mentions of nearly all concepts from nine prominent biomedical ontologies and terminologies: the Cell Type Ontology, the Chemical Entities of Biological Interest ontology, the NCBI Taxonomy, the Protein Ontology, the Sequence Ontology, the entries of the Entrez Gene database, and the three subontologies of the Gene Ontology. The first public release includes the annotations for 67 of the 97 articles, reserving two sets of 15 articles for future text-mining competitions (after which these too will be released). Concept annotations were created based on a single set of guidelines, which has enabled us to achieve consistently high interannotator agreement. As the initial 67-article release contains more than 560,000 tokens (and the full set more than 790,000 tokens), our corpus is among the largest gold-standard annotated biomedical corpora. Unlike most others, the journal articles that comprise the corpus are drawn from diverse biomedical disciplines and are marked up in their entirety. Additionally, with a concept-annotation count of nearly 100,000 in the 67-article subset (and more than 140,000 in the full collection), the scale of conceptual markup is also among the largest of comparable corpora. The concept annotations of the CRAFT Corpus have the potential to significantly advance biomedical text mining by providing a high-quality gold standard for NLP systems. The corpus, annotation guidelines, and other associated resources are freely available at http://bionlp-corpora.sourceforge.net/CRAFT/index.shtml.

Cultural text mining: using text mining to map the emergence of transnational reference cultures in public media repositories

NARCIS (Netherlands)

Pieters, Toine; Verheul, Jaap

2014-01-01

This paper discusses the research project Translantis, which uses innovative technologies for cultural text mining to analyze large repositories of digitized public media, such as newspapers and journals.1 The Translantis research team uses and develops the text mining tool Texcavator, which is

Evaluating topic models with stability

CSIR Research Space (South Africa)

De Waal, A

2008-11-01

Full Text Available Topic models are unsupervised techniques that extract likely topics from text corpora, by creating probabilistic word-topic and topic-document associations. Evaluation of topic models is a challenge because (a) topic models are often employed...

Vocabulary Constraint on Texts

Directory of Open Access Journals (Sweden)

C. Sutarsyah

2008-01-01

Full Text Available This case study was carried out in the English Education Department of State University of Malang. The aim of the study was to identify and describe the vocabulary in the reading text and to seek if the text is useful for reading skill development. A descriptive qualitative design was applied to obtain the data. For this purpose, some available computer programs were used to find the description of vocabulary in the texts. It was found that the 20 texts containing 7,945 words are dominated by low frequency words which account for 16.97% of the words in the texts. The high frequency words occurring in the texts were dominated by function words. In the case of word levels, it was found that the texts have very limited number of words from GSL (General Service List of English Words (West, 1953. The proportion of the first 1,000 words of GSL only accounts for 44.6%. The data also show that the texts contain too large proportion of words which are not in the three levels (the first 2,000 and UWL. These words account for 26.44% of the running words in the texts.  It is believed that the constraints are due to the selection of the texts which are made of a series of short-unrelated texts. This kind of text is subject to the accumulation of low frequency words especially those of content words and limited of words from GSL. It could also defeat the development of students' reading skills and vocabulary enrichment.

VITA-6.2: Advanced visual tool for information management

International Nuclear Information System (INIS)

Jacobson, Z.; Truong, Q.S.; Houston, B.; Taylor, V.; Herber, N.; El Gebaly, A.

2007-01-01

Visual Interface for Text Analysis (VITA), our combined user interface and meta-search engine software application, improves the quality and speed at which intelligence analysts can explore novel massive text corpora via innovations that facilitate user contextual awareness. (author)

New mathematical cuneiform texts

CERN Document Server

Friberg, Jöran

2016-01-01

This monograph presents in great detail a large number of both unpublished and previously published Babylonian mathematical texts in the cuneiform script. It is a continuation of the work A Remarkable Collection of Babylonian Mathematical Texts (Springer 2007) written by Jöran Friberg, the leading expert on Babylonian mathematics. Focussing on the big picture, Friberg explores in this book several Late Babylonian arithmetical and metro-mathematical table texts from the sites of Babylon, Uruk and Sippar, collections of mathematical exercises from four Old Babylonian sites, as well as a new text from Early Dynastic/Early Sargonic Umma, which is the oldest known collection of mathematical exercises. A table of reciprocals from the end of the third millennium BC, differing radically from well-documented but younger tables of reciprocals from the Neo-Sumerian and Old-Babylonian periods, as well as a fragment of a Neo-Sumerian clay tablet showing a new type of a labyrinth are also discussed. The material is presen...

A text messaging intervention to improve heart failure self-management after hospital discharge in a largely African-American population: before-after study.

Science.gov (United States)

Nundy, Shantanu; Razi, Rabia R; Dick, Jonathan J; Smith, Bryan; Mayo, Ainoa; O'Connor, Anne; Meltzer, David O

2013-03-11

There is increasing interest in finding novel approaches to reduce health disparities in readmissions for acute decompensated heart failure (ADHF). Text messaging is a promising platform for improving chronic disease self-management in low-income populations, yet is largely unexplored in ADHF. The purpose of this pre-post study was to assess the feasibility and acceptability of a text message-based (SMS: short message service) intervention in a largely African American population with ADHF and explore its effects on self-management. Hospitalized patients with ADHF were enrolled in an automated text message-based heart failure program for 30 days following discharge. Messages provided self-care reminders and patient education on diet, symptom recognition, and health care navigation. Demographic and cell phone usage data were collected on enrollment, and an exit survey was administered on completion. The Self-Care of Heart Failure Index (SCHFI) was administered preintervention and postintervention and compared using sample t tests (composite) and Wilcoxon rank sum tests (individual). Clinical data were collected through chart abstraction. Of 51 patients approached for recruitment, 27 agreed to participate and 15 were enrolled (14 African-American, 1 White). Barriers to enrollment included not owning a personal cell phone (n=12), failing the Mini-Mental exam (n=3), needing a proxy (n=2), hard of hearing (n=1), and refusal (n=3). Another 3 participants left the study for health reasons and 3 others had technology issues. A total of 6 patients (5 African-American, 1 White) completed the postintervention surveys. The mean age was 50 years (range 23-69) and over half had Medicaid or were uninsured (60%, 9/15). The mean ejection fraction for those with systolic dysfunction was 22%, and at least two-thirds had a prior hospitalization in the past year. Participants strongly agreed that the program was easy to use (83%), reduced pills missed (66%), and decreased salt intake

Revisiting corpus creation and analysis tools for translation tasks

Directory of Open Access Journals (Sweden)

Claudio Fantinuoli

2016-06-01

Full Text Available Many translation scholars have proposed the use of corpora to allow professional translators to produce high quality texts which read like originals. Yet, the diffusion of this methodology has been modest, one reason being the fact that software for corpora analyses have been developed with the linguist in mind, which means that they are generally complex and cumbersome, offering many advanced features, but lacking the level of usability and the specific features that meet translators’ needs. To overcome this shortcoming, we have developed TranslatorBank, a free corpus creation and analysis tool designed for translation tasks. TranslatorBank supports the creation of specialized monolingual corpora from the web; it includes a concordancer with a query system similar to a search engine; it uses basic statistical measures to indicate the reliability of results; it accesses the original documents directly for more contextual information; it includes a statistical and linguistic terminology extraction utility to extract the relevant terminology of the domain and the typical collocations of a given term. Designed to be easy and intuitive to use, the tool may help translation students as well as professionals to increase their translation quality by adhering to the specific linguistic variety of the target text corpus.

Social Media Text Classification by Enhancing Well-Formed Text Trained Model

Directory of Open Access Journals (Sweden)

Phat Jotikabukkana

2016-09-01

Full Text Available Social media are a powerful communication tool in our era of digital information. The large amount of user-generated data is a useful novel source of data, even though it is not easy to extract the treasures from this vast and noisy trove. Since classification is an important part of text mining, many techniques have been proposed to classify this kind of information. We developed an effective technique of social media text classification by semi-supervised learning utilizing an online news source consisting of well-formed text. The computer first automatically extracts news categories, well-categorized by publishers, as classes for topic classification. A bag of words taken from news articles provides the initial keywords related to their category in the form of word vectors. The principal task is to retrieve a set of new productive keywords. Term Frequency-Inverse Document Frequency weighting (TF-IDF and Word Article Matrix (WAM are used as main methods. A modification of WAM is recomputed until it becomes the most effective model for social media text classification. The key success factor was enhancing our model with effective keywords from social media. A promising result of 99.50% accuracy was achieved, with more than 98.5% of Precision, Recall, and F-measure after updating the model three times.

Serum progesterone levels for diagnosing pregnancy and monitoring corpora lutea function during different reproductive stages in hormonally-treated heat synchronized female damascus goats

International Nuclear Information System (INIS)

Zakawi, M.

2003-01-01

An experiment was conducted on female damascus goats the breeding season to diagnose pregnancy on days 21-22 and 40-44 after mating and to monitor the corpora lutea function during different reproductive stages by measuring serum progesterone levels using radioimmunoassay. A total of 75 intact female damascus goats were divided into 3 equal groups, S, P and C. females in group S were fitted with sponges containing 60 mg of medroxyprogesterone acetate (MAP) for 14 days and injected, at the sponge withdrawal, with pregnant mare serum gonadotrophin (PMSG). Females in group P were injected twice with prostaglandin F 2a at 11 day intervals. Females in group C (control) received no treatment. The results indicated that the accuracy of positive pregnancy on days 21-22 and 40-44 was 90.5% and 94.4%, respectively, and it was 100% for detecting non-pregnancy. There was no significant difference(p>0.05)among the 3 groups in serum progesterone level between days 21-22 and 40-44 after mating. Whereas, there were significant(p -1 at matinf, during pregnancy and at kidding. The triplet carrying goats had a significantly(p -1 , respectively. While, there was no significant difference in serum progesterone levels between the single and twin-carrying goats

Text Mining the History of Medicine.

Science.gov (United States)

Thompson, Paul; Batista-Navarro, Riza Theresa; Kontonatsios, Georgios; Carter, Jacob; Toon, Elizabeth; McNaught, John; Timmermann, Carsten; Worboys, Michael; Ananiadou, Sophia

2016-01-01

Historical text archives constitute a rich and diverse source of information, which is becoming increasingly readily accessible, due to large-scale digitisation efforts. However, it can be difficult for researchers to explore and search such large volumes of data in an efficient manner. Text mining (TM) methods can help, through their ability to recognise various types of semantic information automatically, e.g., instances of concepts (places, medical conditions, drugs, etc.), synonyms/variant forms of concepts, and relationships holding between concepts (which drugs are used to treat which medical conditions, etc.). TM analysis allows search systems to incorporate functionality such as automatic suggestions of synonyms of user-entered query terms, exploration of different concepts mentioned within search results or isolation of documents in which concepts are related in specific ways. However, applying TM methods to historical text can be challenging, according to differences and evolutions in vocabulary, terminology, language structure and style, compared to more modern text. In this article, we present our efforts to overcome the various challenges faced in the semantic analysis of published historical medical text dating back to the mid 19th century. Firstly, we used evidence from diverse historical medical documents from different periods to develop new resources that provide accounts of the multiple, evolving ways in which concepts, their variants and relationships amongst them may be expressed. These resources were employed to support the development of a modular processing pipeline of TM tools for the robust detection of semantic information in historical medical documents with varying characteristics. We applied the pipeline to two large-scale medical document archives covering wide temporal ranges as the basis for the development of a publicly accessible semantically-oriented search system. The novel resources are available for research purposes, while

A unified framework for evaluating the risk of re-identification of text de-identification tools.

Science.gov (United States)

Scaiano, Martin; Middleton, Grant; Arbuckle, Luk; Kolhatkar, Varada; Peyton, Liam; Dowling, Moira; Gipson, Debbie S; El Emam, Khaled

2016-10-01

It has become regular practice to de-identify unstructured medical text for use in research using automatic methods, the goal of which is to remove patient identifying information to minimize re-identification risk. The metrics commonly used to determine if these systems are performing well do not accurately reflect the risk of a patient being re-identified. We therefore developed a framework for measuring the risk of re-identification associated with textual data releases. We apply the proposed evaluation framework to a data set from the University of Michigan Medical School. Our risk assessment results are then compared with those that would be obtained using a typical contemporary micro-average evaluation of recall in order to illustrate the difference between the proposed evaluation framework and the current baseline method. We demonstrate how this framework compares against common measures of the re-identification risk associated with an automated text de-identification process. For the probability of re-identification using our evaluation framework we obtained a mean value for direct identifiers of 0.0074 and a mean value for quasi-identifiers of 0.0022. The 95% confidence interval for these estimates were below the relevant thresholds. The threshold for direct identifier risk was based on previously used approaches in the literature. The threshold for quasi-identifiers was determined based on the context of the data release following commonly used de-identification criteria for structured data. Our framework attempts to correct for poorly distributed evaluation corpora, accounts for the data release context, and avoids the often optimistic assumptions that are made using the more traditional evaluation approach. It therefore provides a more realistic estimate of the true probability of re-identification. This framework should be used as a basis for computing re-identification risk in order to more realistically evaluate future text de-identification tools

An annotated corpus with nanomedicine and pharmacokinetic parameters.

Science.gov (United States)

Lewinski, Nastassja A; Jimenez, Ivan; McInnes, Bridget T

2017-01-01

A vast amount of data on nanomedicines is being generated and published, and natural language processing (NLP) approaches can automate the extraction of unstructured text-based data. Annotated corpora are a key resource for NLP and information extraction methods which employ machine learning. Although corpora are available for pharmaceuticals, resources for nanomedicines and nanotechnology are still limited. To foster nanotechnology text mining (NanoNLP) efforts, we have constructed a corpus of annotated drug product inserts taken from the US Food and Drug Administration's Drugs@FDA online database. In this work, we present the development of the Engineered Nanomedicine Database corpus to support the evaluation of nanomedicine entity extraction. The data were manually annotated for 21 entity mentions consisting of nanomedicine physicochemical characterization, exposure, and biologic response information of 41 Food and Drug Administration-approved nanomedicines. We evaluate the reliability of the manual annotations and demonstrate the use of the corpus by evaluating two state-of-the-art named entity extraction systems, OpenNLP and Stanford NER. The annotated corpus is available open source and, based on these results, guidelines and suggestions for future development of additional nanomedicine corpora are provided.

Undergraduates' Text Messaging Language and Literacy Skills

Science.gov (United States)

Grace, Abbie; Kemp, Nenagh; Martin, Frances Heritage; Parrila, Rauno

2014-01-01

Research investigating whether people's literacy skill is being affected by the use of text messaging language has produced largely positive results for children, but mixed results for adults. We asked 150 undergraduate university students in Western Canada and 86 in South Eastern Australia to supply naturalistic text messages and to complete…

Phrasing history : Selecting sources in digital repositories

NARCIS (Netherlands)

Huistra, Hieke; Mellink, Bram

2016-01-01

In recent years, mass digitization has opened up voluminous text corpora to human interpretation. Full-text search lets historians now find new sources that can change their understanding of thoroughly studied historical episodes. At the same time, it forces scholars to access historical sources in

Phrasing history: Selecting sources in digital repositories

NARCIS (Netherlands)

Huistra, H.; Mellink, B.

2016-01-01

In recent years, mass digitization has opened up voluminous text corpora to human interpretation. Full-text search lets historians now find new sources that can change their understanding of thoroughly studied historical episodes. At the same time, it forces scholars to access historical sources in

Improving Layman Readability of Clinical Narratives with Unsupervised Synonym Replacement.

Science.gov (United States)

Moen, Hans; Peltonen, Laura-Maria; Koivumäki, Mikko; Suhonen, Henry; Salakoski, Tapio; Ginter, Filip; Salanterä, Sanna

2018-01-01

We report on the development and evaluation of a prototype tool aimed to assist laymen/patients in understanding the content of clinical narratives. The tool relies largely on unsupervised machine learning applied to two large corpora of unlabeled text - a clinical corpus and a general domain corpus. A joint semantic word-space model is created for the purpose of extracting easier to understand alternatives for words considered difficult to understand by laymen. Two domain experts evaluate the tool and inter-rater agreement is calculated. When having the tool suggest ten alternatives to each difficult word, it suggests acceptable lay words for 55.51% of them. This and future manual evaluation will serve to further improve performance, where also supervised machine learning will be used.

Web corpus construction

CERN Document Server

Schafer, Roland

2013-01-01

The World Wide Web constitutes the largest existing source of texts written in a great variety of languages. A feasible and sound way of exploiting this data for linguistic research is to compile a static corpus for a given language. There are several adavantages of this approach: (i) Working with such corpora obviates the problems encountered when using Internet search engines in quantitative linguistic research (such as non-transparent ranking algorithms). (ii) Creating a corpus from web data is virtually free. (iii) The size of corpora compiled from the WWW may exceed by several orders of magnitudes the size of language resources offered elsewhere. (iv) The data is locally available to the user, and it can be linguistically post-processed and queried with the tools preferred by her/him. This book addresses the main practical tasks in the creation of web corpora up to giga-token size. Among these tasks are the sampling process (i.e., web crawling) and the usual cleanups including boilerplate removal and rem...

PESQUISA EM EDUCAÇÃO: O WORDSMITH COMO FERRAMENTA DE EXPLORAÇÃO DE CORPORA

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Maria Zuleide da Costa Pereira; Samara Wanderley Xavier Barbosa

2014-09-01

Full Text Available Este texto constitui-se a partir da implementação das ações de um projeto do Programa Institucional de Bolsas de Iniciação Científica (PIBIC da UFPB, intitulado “Os Sentidos do Currículo nas Escolas da Rede Municipal de Ensino de João Pessoa/PB”, e desenvolvido no período de 2013 a 2014. O objetivo do plano/projeto é destacar o papel do software Worsmith Tools 6, como ferramenta de análise de corpora, na exploração dos sentidos de educação, currículo e ensino nos documentos curriculares analisados, que são os documentos de políticas curriculares nacionais (Lei de Diretrizes e Bases de nº 9394/96, Parâmetros Curriculares Nacionais de 1ª a 4ª série, Diretrizes Curriculares Gerais para Educação Básica e Diretrizes Curriculares para o Ensino Fundamental de Nove Anos e os locais (Projetos Político-Pedagógicos de nove escolas da Rede Municipal de Ensino. Dessa forma, mostramos os recursos do conjunto de ferramentas utilizadas, exemplificando de que modo elas contribuíram para uma análise documental mais exata e confiável do que outras perspectivas de análise linguística permitiriam. De fato, ao mesmo tempo em que facilitaram às possíveis articulações entre educação, currículo e ensino, o conjunto de ferramentas em questão, como argumenta Sardinha (2004, nos deu a possibilidade de analisar vários aspectos da linguagem, tais como: a composição lexical, o tema dos textos selecionados e a organização da retórica e composicional dos gêneros discursivos. Metodologicamente, organizamos os documentos em análise num conjunto de textos informatizados, de tal forma que se tornaram adequados para o pesquisador analisar, sempre tendo em vista a autenticidade, a legibilidade e a extensão dos textos, e a seleção criteriosa dos enunciados que comporiam o corpus. Para empreender a análise propriamente dita, decidimos utilizar o Worsmith Tools 6 e suas três ferramentas o Wordlist, o Concord e o Keywords, cada

Comprehending text in literature class

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Purić Daliborka S.

2016-01-01

Full Text Available The paper discusses the problem of understanding a text and the contribution of methodological apparatus in the reader book to comprehension of a text being read in junior classes of elementary school. By using the technique of content analysis from methodological apparatuses in eight reader books for the fourth grade of elementary school, approved for usage in 2014/2015 academic year, and surveying 350 teachers in 33 elementary schools and 11 administrative districts in the Republic of Serbia we examined: (a to what extent the Serbian language text book contents enable junior students to understand a literary text; (b to what extent teachers accept the suggestions offered in the textbook for preparing literature teaching. The results show that a large number of suggestions relate to reading comprehension, but some of categories of understanding are unevenly distributed in the methodological apparatus. On the other hand, the majority of teachers use the methodological apparatus given in a textbook for preparing classes, not only the textbook he or she selected for teaching but also other textbooks for the same grade.

Robust hybrid name disambiguation framework for large databases

KAUST Repository

Zhu, Jia

2013-10-26

In many databases, science bibliography database for example, name attribute is the most commonly chosen identifier to identify entities. However, names are often ambiguous and not always unique which cause problems in many fields. Name disambiguation is a non-trivial task in data management that aims to properly distinguish different entities which share the same name, particularly for large databases like digital libraries, as only limited information can be used to identify authors\\' name. In digital libraries, ambiguous author names occur due to the existence of multiple authors with the same name or different name variations for the same person. Also known as name disambiguation, most of the previous works to solve this issue often employ hierarchical clustering approaches based on information inside the citation records, e.g. co-authors and publication titles. In this paper, we focus on proposing a robust hybrid name disambiguation framework that is not only applicable for digital libraries but also can be easily extended to other application based on different data sources. We propose a web pages genre identification component to identify the genre of a web page, e.g. whether the page is a personal homepage. In addition, we propose a re-clustering model based on multidimensional scaling that can further improve the performance of name disambiguation. We evaluated our approach on known corpora, and the favorable experiment results indicated that our proposed framework is feasible. © 2013 Akadémiai Kiadó, Budapest, Hungary.

Robust hybrid name disambiguation framework for large databases

KAUST Repository

Zhu, Jia; Yang, Yi; Xie, Qing; Wang, Liwei; Hassan, Saeed-Ul

2013-01-01

In many databases, science bibliography database for example, name attribute is the most commonly chosen identifier to identify entities. However, names are often ambiguous and not always unique which cause problems in many fields. Name disambiguation is a non-trivial task in data management that aims to properly distinguish different entities which share the same name, particularly for large databases like digital libraries, as only limited information can be used to identify authors' name. In digital libraries, ambiguous author names occur due to the existence of multiple authors with the same name or different name variations for the same person. Also known as name disambiguation, most of the previous works to solve this issue often employ hierarchical clustering approaches based on information inside the citation records, e.g. co-authors and publication titles. In this paper, we focus on proposing a robust hybrid name disambiguation framework that is not only applicable for digital libraries but also can be easily extended to other application based on different data sources. We propose a web pages genre identification component to identify the genre of a web page, e.g. whether the page is a personal homepage. In addition, we propose a re-clustering model based on multidimensional scaling that can further improve the performance of name disambiguation. We evaluated our approach on known corpora, and the favorable experiment results indicated that our proposed framework is feasible. © 2013 Akadémiai Kiadó, Budapest, Hungary.

Learning scale-variant and scale-invariant features for deep image classification

NARCIS (Netherlands)

van Noord, Nanne; Postma, Eric

Convolutional Neural Networks (CNNs) require large image corpora to be trained on classification tasks. The variation in image resolutions, sizes of objects and patterns depicted, and image scales, hampers CNN training and performance, because the task-relevant information varies over spatial

Inquérito sôbre a incidência da esquistossomose mansônica entre indivíduos interessados em ingressar em corporação militar do Estado de São Paulo: considerações sôbre a referida verminose como causa de rejeição de candidatos a empregos

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Vicente Amato Neto

1970-10-01

Full Text Available Em várias regiões do Brasil, há rejeição, por diferentes instituições, de indivíduos com esquistossomíase mansônica que se candidatam a empregos, sem serem levados em conta os estádios evolutivos da verminose. Preocupados com essa questão e com a finalidade de coletar, a título de exemplo, informação objetiva sobre aspecto prático a ela concernente, efetuaram os autores inquérito entre 601 pessoas interessadas em ingressar em corporação militar da cidade de São Paulo, baseado na utilização da prova intradérmica para o diagnóstico da helmintíase. Registraram a percentagem de positividade de 13,3%, considerada muito expressiva e tradutora de situação concreta, merecedora de enfática consideração, em face às implicações, de múltiplas ordens, tais como social, econômica e médica, que encerra.

Identifying issue frames in text.

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Eyal Sagi

Full Text Available Framing, the effect of context on cognitive processes, is a prominent topic of research in psychology and public opinion research. Research on framing has traditionally relied on controlled experiments and manually annotated document collections. In this paper we present a method that allows for quantifying the relative strengths of competing linguistic frames based on corpus analysis. This method requires little human intervention and can therefore be efficiently applied to large bodies of text. We demonstrate its effectiveness by tracking changes in the framing of terror over time and comparing the framing of abortion by Democrats and Republicans in the U.S.

A text-mining system for extracting metabolic reactions from full-text articles.

Science.gov (United States)

Czarnecki, Jan; Nobeli, Irene; Smith, Adrian M; Shepherd, Adrian J

2012-07-23

Increasingly biological text mining research is focusing on the extraction of complex relationships relevant to the construction and curation of biological networks and pathways. However, one important category of pathway - metabolic pathways - has been largely neglected.Here we present a relatively simple method for extracting metabolic reaction information from free text that scores different permutations of assigned entities (enzymes and metabolites) within a given sentence based on the presence and location of stemmed keywords. This method extends an approach that has proved effective in the context of the extraction of protein-protein interactions. When evaluated on a set of manually-curated metabolic pathways using standard performance criteria, our method performs surprisingly well. Precision and recall rates are comparable to those previously achieved for the well-known protein-protein interaction extraction task. We conclude that automated metabolic pathway construction is more tractable than has often been assumed, and that (as in the case of protein-protein interaction extraction) relatively simple text-mining approaches can prove surprisingly effective. It is hoped that these results will provide an impetus to further research and act as a useful benchmark for judging the performance of more sophisticated methods that are yet to be developed.

Revisiting corpus creation and analysis tools for translation tasks

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Claudio Fantinuoli

2016-04-01

Many translation scholars have proposed the use of corpora to allow professional translators to produce high quality texts which read like originals. Yet, the diffusion of this methodology has been modest, one reason being the fact that software for corpora analyses have been developed with the linguist in mind, which means that they are generally complex and cumbersome, offering many advanced features, but lacking the level of usability and the specific features that meet translators’ needs. To overcome this shortcoming, we have developed TranslatorBank, a free corpus creation and analysis tool designed for translation tasks. TranslatorBank supports the creation of specialized monolingual corpora from the web; it includes a concordancer with a query system similar to a search engine; it uses basic statistical measures to indicate the reliability of results; it accesses the original documents directly for more contextual information; it includes a statistical and linguistic terminology extraction utility to extract the relevant terminology of the domain and the typical collocations of a given term. Designed to be easy and intuitive to use, the tool may help translation students as well as professionals to increase their translation quality by adhering to the specific linguistic variety of the target text corpus.

Linguistic measures of chemical diversity and the "keywords" of molecular collections.

Science.gov (United States)

Woźniak, Michał; Wołos, Agnieszka; Modrzyk, Urszula; Górski, Rafał L; Winkowski, Jan; Bajczyk, Michał; Szymkuć, Sara; Grzybowski, Bartosz A; Eder, Maciej

2018-05-15

Computerized linguistic analyses have proven of immense value in comparing and searching through large text collections ("corpora"), including those deposited on the Internet - indeed, it would nowadays be hard to imagine browsing the Web without, for instance, search algorithms extracting most appropriate keywords from documents. This paper describes how such corpus-linguistic concepts can be extended to chemistry based on characteristic "chemical words" that span more than traditional functional groups and, instead, look at common structural fragments molecules share. Using these words, it is possible to quantify the diversity of chemical collections/databases in new ways and to define molecular "keywords" by which such collections are best characterized and annotated.

Microtask crowdsourcing for disease mention annotation in PubMed abstracts.

Science.gov (United States)

Good, Benjamin M; Nanis, Max; Wu, Chunlei; Su, Andrew I

2015-01-01

Identifying concepts and relationships in biomedical text enables knowledge to be applied in computational analyses. Many biological natural language processing (BioNLP) projects attempt to address this challenge, but the state of the art still leaves much room for improvement. Progress in BioNLP research depends on large, annotated corpora for evaluating information extraction systems and training machine learning models. Traditionally, such corpora are created by small numbers of expert annotators often working over extended periods of time. Recent studies have shown that workers on microtask crowdsourcing platforms such as Amazon's Mechanical Turk (AMT) can, in aggregate, generate high-quality annotations of biomedical text. Here, we investigated the use of the AMT in capturing disease mentions in PubMed abstracts. We used the NCBI Disease corpus as a gold standard for refining and benchmarking our crowdsourcing protocol. After several iterations, we arrived at a protocol that reproduced the annotations of the 593 documents in the 'training set' of this gold standard with an overall F measure of 0.872 (precision 0.862, recall 0.883). The output can also be tuned to optimize for precision (max = 0.984 when recall = 0.269) or recall (max = 0.980 when precision = 0.436). Each document was completed by 15 workers, and their annotations were merged based on a simple voting method. In total 145 workers combined to complete all 593 documents in the span of 9 days at a cost of $.066 per abstract per worker. The quality of the annotations, as judged with the F measure, increases with the number of workers assigned to each task; however minimal performance gains were observed beyond 8 workers per task. These results add further evidence that microtask crowdsourcing can be a valuable tool for generating well-annotated corpora in BioNLP. Data produced for this analysis are available at http://figshare.com/articles/Disease_Mention_Annotation_with_Mechanical_Turk/1126402.

DEXTER: Disease-Expression Relation Extraction from Text.

Science.gov (United States)

Gupta, Samir; Dingerdissen, Hayley; Ross, Karen E; Hu, Yu; Wu, Cathy H; Mazumder, Raja; Vijay-Shanker, K

2018-01-01

Gene expression levels affect biological processes and play a key role in many diseases. Characterizing expression profiles is useful for clinical research, and diagnostics and prognostics of diseases. There are currently several high-quality databases that capture gene expression information, obtained mostly from large-scale studies, such as microarray and next-generation sequencing technologies, in the context of disease. The scientific literature is another rich source of information on gene expression-disease relationships that not only have been captured from large-scale studies but have also been observed in thousands of small-scale studies. Expression information obtained from literature through manual curation can extend expression databases. While many of the existing databases include information from literature, they are limited by the time-consuming nature of manual curation and have difficulty keeping up with the explosion of publications in the biomedical field. In this work, we describe an automated text-mining tool, Disease-Expression Relation Extraction from Text (DEXTER) to extract information from literature on gene and microRNA expression in the context of disease. One of the motivations in developing DEXTER was to extend the BioXpress database, a cancer-focused gene expression database that includes data derived from large-scale experiments and manual curation of publications. The literature-based portion of BioXpress lags behind significantly compared to expression information obtained from large-scale studies and can benefit from our text-mined results. We have conducted two different evaluations to measure the accuracy of our text-mining tool and achieved average F-scores of 88.51 and 81.81% for the two evaluations, respectively. Also, to demonstrate the ability to extract rich expression information in different disease-related scenarios, we used DEXTER to extract information on differential expression information for 2024 genes in lung

Large-scale extraction of gene interactions from full-text literature using DeepDive.

Science.gov (United States)

Mallory, Emily K; Zhang, Ce; Ré, Christopher; Altman, Russ B

2016-01-01

A complete repository of gene-gene interactions is key for understanding cellular processes, human disease and drug response. These gene-gene interactions include both protein-protein interactions and transcription factor interactions. The majority of known interactions are found in the biomedical literature. Interaction databases, such as BioGRID and ChEA, annotate these gene-gene interactions; however, curation becomes difficult as the literature grows exponentially. DeepDive is a trained system for extracting information from a variety of sources, including text. In this work, we used DeepDive to extract both protein-protein and transcription factor interactions from over 100,000 full-text PLOS articles. We built an extractor for gene-gene interactions that identified candidate gene-gene relations within an input sentence. For each candidate relation, DeepDive computed a probability that the relation was a correct interaction. We evaluated this system against the Database of Interacting Proteins and against randomly curated extractions. Our system achieved 76% precision and 49% recall in extracting direct and indirect interactions involving gene symbols co-occurring in a sentence. For randomly curated extractions, the system achieved between 62% and 83% precision based on direct or indirect interactions, as well as sentence-level and document-level precision. Overall, our system extracted 3356 unique gene pairs using 724 features from over 100,000 full-text articles. Application source code is publicly available at https://github.com/edoughty/deepdive_genegene_app russ.altman@stanford.edu Supplementary data are available at Bioinformatics online. © The Author 2015. Published by Oxford University Press.

Teaching Spanish Pragmatics Through Colloquial Conversations

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Albelda Marco, Marta

2017-11-01

Full Text Available This paper focuses on the advantages of teaching and learning a foreign language with and through spoken discursive corpora, and especially colloquial and conversational ones. The benefits of developing oral competence and communicative skills in language learners using colloquial conversations will be exposed and discussed. In this paper, we characterise the colloquial conversation and the features that define this register and discursive genre. Being the most natural and original way to communicate among human beings, the colloquial conversation is the most common means to communicate, and therefore, this genre should have a greater presence in foreign-language classrooms. Secondly, we expound on the advantages of teaching using colloquial conversations corpora, particularly resulting from its contextualisation (the linguistic input is learnt in its real and authentic context and from its oral and conversational features (prosodic elements and interactional mechanisms. Thirdly, the paper provides a list of corpora of colloquial conversations that are available in Spanish, focusing on Val.Es.Co. colloquial corpus (peninsular Spanish oral corpus, Briz et al., 2002; Cabedo & Pons online, www.valesco.es. Finally, a set of pragmatic applications of corpora in foreign-language classroom is offered, in particular using the Val.Es.Co. colloquial corpus: functions of discourse markers and interjections (whose meanings change depending on the context, strategies of turn-takings, ways of introducing new topic in the dialogues, mechanisms of keeping or “stealing” the turn, devices to introduce direct speech, attitudes expressed by the falling and rising intonations, hedges and intensifiers, and so on. In general, this paper pretends to offer ideas, resources and materials to make the students more competent in communication using authentic discursive oral corpora.

Penile alterations at early stage of type 1 diabetes in rats

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Mingfang Tao

Full Text Available ABSTRACT Objective Diabetes affects the erectile function significantly. However, the penile alterations in the early stage of diabetes in experimental animal models have not been well studied. We examined the changes of the penis and its main erectile components in diabetic rats. Materials and methods Male Sprague-Dawley rats were divided into 2 groups: streptozotocin (STZ-induced diabetics and age-matched controls. Three or nine weeks after diabetes induction, the penis was removed for immunohistochemical staining of smooth muscle and neuronal nitric oxide synthase (nNOS in midshaft penile tissues. The cross-sectional areas of the whole midshaft penis and the corpora cavernosa were quantified. The smooth muscle in the corpora cavernosa and nNOS in the dorsal nerves were quantified. Results The weight, but not the length, of the penis was lower in diabetics. The cross-sectional areas of the total midshaft penis and the corpora cavernosa were lower in diabetic rats compared with controls 9 weeks, but not 3 weeks after diabetes induction. The cross-sectional area of smooth muscle in the corpora cavernosa as percentage of the overall area of the corpora cavernosa was lower in diabetic rats than in controls 9 weeks, but not 3 weeks after diabetes induction. Percentage change of nNOS in dorsal nerves was similar at 3 weeks, and has a decreased trend at 9 weeks in diabetic rats compared with controls. Conclusions Diabetes causes temporal alterations in the penis, and the significant changes in STZ rat model begin 3-9 weeks after induction. Further studies on the reversibility of the observed changes are warranted.

Comment exploiter les 'corpus-surprise' ?

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Rittaud-Hutinet, Chantal

2009-01-01

Full Text Available To what extent non-recorded oral corpora may constitute objects of analysis of pragmatic meaning?These corpora are heard by chance: on the radio, on television, in the street, a shop, a means of transport or generally in any conversational interaction in which the linguist participates, but had not previously planned to record for his research. The problem of the use of these corpora in linguistics is all the more crucial since the aim, in phonopragmatics, is to discover the functions and significations of their phonic part. I shall attempt to answer the following questions:–The accuracy of the transcription with respect to the original. To what extent can we ignore our own phonological code, our regional variants, mastered/partly known styles of speech?–The reliability of the oral reproduction carried out by the linguist – for example, during a talk at a conference. What is his capacity for deferred mimicry?–The relation between a significant discrepancy and the elocutionary habits of the speaker.–The relation between the comprehension of the external auditors and the effect produced on the 'real' person addressed.Considering that transparency is (sometimes? often? an illusion, I shall also examine what precautions should be taken so that these corpora offer guarantees as to the veracity.

Kontrastivní lingvistika a paralelní korpusy : Contrastive Linguistics and Parallel Corpora

Directory of Open Access Journals (Sweden)

Libuše Dušková

2017-07-01

Full Text Available The article presents a brief survey of English-Czech contrastive studies based on original texts and their translations from the beginnings in the mid-fifties of the last century to the present. Until the first decade of the present century, excerption was done manually, which limited the research to a small number of samples. The early studies of English largely concentrated on sentence condensation and nominal tendencies in the expression of the predicate, as compared with the verbal character of Czech. In connection with the development of the theory of functional sentence perspective other topics were found in this sphere, especially as regards word order. While the former studies can be currently pursued on the basis of InterCorp at a qualitatively higher level, research into FSP topics remains restricted to issues involving variables with formalizable realization forms. The main part of the paper focuses on some of the fallacies involved in using translation counterparts as the basis of contrastive research. One of them is the possible influence of the original; others appear in such areas as the choice of translation counterparts with respect to the issue under investigation, the assessment of their adequacy, including the possibility of misrepresentation by the translator, the validity of the translation counterpart (which is in most cases limited, as alternatives are possible and others. In studies of functional sentence perspective a point to be considered is equivocal interpretation of the FSP structure in the original. These points are illustrated by translation counterparts in two translations of the same novel.

A STUDY OF TEXT MINING METHODS, APPLICATIONS,AND TECHNIQUES

OpenAIRE

R. Rajamani*1 & S. Saranya2

2017-01-01

Data mining is used to extract useful information from the large amount of data. It is used to implement and solve different types of research problems. The research related areas in data mining are text mining, web mining, image mining, sequential pattern mining, spatial mining, medical mining, multimedia mining, structure mining and graph mining. Text mining also referred to text of data mining, it is also called knowledge discovery in text (KDT) or knowledge of intelligent text analysis. T...

Directed Activities Related to Text: Text Analysis and Text Reconstruction.

Science.gov (United States)

Davies, Florence; Greene, Terry

This paper describes Directed Activities Related to Text (DART), procedures that were developed and are used in the Reading for Learning Project at the University of Nottingham (England) to enhance learning from texts and that fall into two broad categories: (1) text analysis procedures, which require students to engage in some form of analysis of…

ACOUSTIC SPEECH RECOGNITION FOR MARATHI LANGUAGE USING SPHINX

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Aman Ankit

2016-09-01

Full Text Available Speech recognition or speech to text processing, is a process of recognizing human speech by the computer and converting into text. In speech recognition, transcripts are created by taking recordings of speech as audio and their text transcriptions. Speech based applications which include Natural Language Processing (NLP techniques are popular and an active area of research. Input to such applications is in natural language and output is obtained in natural language. Speech recognition mostly revolves around three approaches namely Acoustic phonetic approach, Pattern recognition approach and Artificial intelligence approach. Creation of acoustic model requires a large database of speech and training algorithms. The output of an ASR system is recognition and translation of spoken language into text by computers and computerized devices. ASR today finds enormous application in tasks that require human machine interfaces like, voice dialing, and etc. Our key contribution in this paper is to create corpora for Marathi language and explore the use of Sphinx engine for automatic speech recognition

Increasing cheat robustness of crowdsourcing tasks

NARCIS (Netherlands)

Eickhoff, C.; De Vries, A.P.

2012-01-01

Crowdsourcing successfully strives to become a widely used means of collecting large-scale scientific corpora. Many research fields, including Information Retrieval, rely on this novel way of data acquisition. However, it seems to be undermined by a significant share of workers that are primarily

Increasing Cheat Robustness of Crowdsourcing Tasks

NARCIS (Netherlands)

C. Eickhoff (Carsten); A.P. de Vries (Arjen)

2013-01-01

htmlabstractCrowdsourcing successfully strives to become a widely used means of collecting large-scale scientific corpora. Many research fields, including Information Retrieval, rely on this novel way of data acquisition. However, it seems to be undermined by a significant share of workers that are

Indian English Evolution and Focusing Visible Through Power Laws

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Vineeta Chand

2017-11-01

Full Text Available New dialect emergence and focusing in language contact settings is difficult to capture and date in terms of global structural dialect stabilization. This paper explores whether diachronic power law frequency distributions can provide evidence of dialect evolution and new dialect focusing, by considering the quantitative frequency characteristics of three diachronic Indian English (IE corpora (1970s–2008. The results demonstrate that IE consistently follows power law frequency distributions and the corpora are each best fit by Mandelbrot’s Law. Diachronic changes in the constants are interpreted as evidence of lexical and syntactic collocational focusing within the process of new dialect formation. Evidence of new dialect focusing is also visible through apparent time comparison of spoken and written data. Age and gender-separated sub-corpora of the most recent corpus show minimal deviation, providing apparent time evidence for emerging IE dialect stability. From these findings, we extend the interpretation of diachronic changes in the β coefficient—as indicative of changes in the degree of synthetic/analytic structure—so that β is also sensitive to grammaticalization and changes in collocational patterns.

Spoken language identification system adaptation in under-resourced environments

CSIR Research Space (South Africa)

Kleynhans, N

2013-12-01

Full Text Available Speech Recognition (ASR) systems in the developing world is severely inhibited. Given that few task-specific corpora exist and speech technology systems perform poorly when deployed in a new environment, we investigate the use of acoustic model adaptation...

Challenges to Issues of Balance and Representativeness in African Lexicography

Directory of Open Access Journals (Sweden)

Thapelo Joseph Otlogetswe

2011-10-01

Full Text Available

Abstract: Modern dictionaries depend on corpora of different sizes and types for frequency listings, concordances and collocations, illustrative sentences and grammatical information. With the help of computer software, retrieving such information has increasingly become relatively easy. However, the quality of retrieved information for lexicographic purposes depends on the information input at the stage of corpus construction. If corpora are not representative of the different language usages of a speech community, they may prove to be unreliable sources of lexicographic information. There are, however, issues in African languages which make many African corpora questionable. These issues include a lack of texts of different genres, the unavailability of balanced and representative written texts, a complete absence of spoken texts as well as literacy problems in African societies. This article therefore explores the different challenges to the construction of reliable corpora in African languages. It argues that African languages face peculiar challenges and corpus research may require a different treatment compared to European and American corpus research. It finally concludes that issues of balance and representativeness appear theoretically impossible when looking at the results of sociolinguistic research on the different existing language varieties which are difficult to represent accurately in a corpus.

Keywords: AFRICAN LANGUAGES, BALANCE, BANK OF ENGLISH, BORROWING,BRITISH NATIONAL CORPUS, COBUILD, CODE-SWITCHING, COMPUTERS, CORPORA,DIALECT, DICTIONARIES, FREQUENCY, LANGUAGE VARIETY, REPRESENTATIVENESS,SETSWANA, SOCIOLINGUISTICS, SPEECH, TEXT

Opsomming: Uitdagings betreffende kwessies van balans en verteenwoordigendheidin Afrikaleksikografie. Moderne woordeboeke steun op korpusse vanverskillende groottes en soorte vir frekwensielyste, konkordansies en kollokasies, voorbeeldsinneen taalkundige inligting. Met die hulp van

An analysis of rhythmic ratios in scores of various kinds of music

NARCIS (Netherlands)

Sadakata, M.; Desain, P.W.M.; Honing, H.J.; Lipscomb, S.D.; Ashley, R.; Gjerdignen, R.O.; Webster, P.

2004-01-01

The aim of this study is to investigate our daily experience of rhythm. The frequency of occurrence of rhythmic patterns consisting of two intervals was counted in different music corpora. Only subdivisions of metrical units were considered. A very large corpus of diverse kinds of music (western

Complex Event Extraction using DRUM

Science.gov (United States)

2015-10-01

towards tackling these challenges . Figure 9. Evaluation results for eleven teams. The diamond ◆ represents the results of our system. The two topmost...Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/ VLC -2000). The UniProt

The TEXT upgrade vertical interferometer

International Nuclear Information System (INIS)

Hallock, G.A.; Gartman, M.L.; Li, W.; Chiang, K.; Shin, S.; Castles, R.L.; Chatterjee, R.; Rahman, A.S.

1992-01-01

A far-infrared interferometer has been installed on TEXT upgrade to obtain electron density profiles. The primary system views the plasma vertically through a set of large (60-cm radialx7.62-cm toroidal) diagnostic ports. A 1-cm channel spacing (59 channels total) and fast electronic time response is used, to provide high resolution for radial profiles and perturbation experiments. Initial operation of the vertical system was obtained late in 1991, with six operating channels

CONAN : Text Mining in the Biomedical Domain

NARCIS (Netherlands)

Malik, R.

2006-01-01

This thesis is about Text Mining. Extracting important information from literature. In the last years, the number of biomedical articles and journals is growing exponentially. Scientists might not find the information they want because of the large number of publications. Therefore a system was

Linguistic dating of biblical texts

DEFF Research Database (Denmark)

Young, Ian; Rezetko, Robert; Ehrensvärd, Martin Gustaf

Since the beginning of critical scholarship biblical texts have been dated using linguistic evidence. In recent years this has become a controversial topic, especially with the publication of Ian Young (ed.), Biblical Hebrew: Studies in Chronology and Typology (2003). However, until now there has...... been no introduction and comprehensive study of the field. Volume 1 introduces the field of linguistic dating of biblical texts, particularly to intermediate and advanced students of biblical Hebrew who have a reasonable background in the language, having completed at least an introductory course...... in this volume are: What is it that makes Archaic Biblical Hebrew archaic , Early Biblical Hebrew early , and Late Biblical Hebrew late ? Does linguistic typology, i.e. different linguistic characteristics, convert easily and neatly into linguistic chronology, i.e. different historical origins? A large amount...

Proper Names and Named Entities Recognition in the Automatic Text Processing. Review of the book: Nouvel, D., Ehrmann, M., & Rosset, S. (2016. Named Entities for Computational Linguistics. London; Hoboken: ISTE Ltd; John Wiley & Sons, Inc., 2016.

Directory of Open Access Journals (Sweden)

Daria M. Golikova

2018-03-01

Full Text Available The reviewed book by Damien Nouvel, Maud Ehrmann, and Sophie Rosset Named Entities for Computational Linguistics deals with automatic processing of texts, written in a natural language, and with named entities recognition, aimed at extracting most important information in these texts. The notion of named entities here extends to the entire set of linguistic units referring to an object. The researchers minutely consider the concept of named entities, juxtaposing this category to that of proper names and comparing their definitions, and describe all the stages of creation and implementation of automatic text annotation algorithms, as well as different ways of evaluating their performance quality. Proper names, in this context, are seen as a particular instance of named entities, one of the typical sources of reference to real objects to be electronically recognized in the text. The book provides a detailed overview and analysis of previous studies in the same field, based mainly on the English language data. It presents instruments and resources required to create and implement the algorithms in question, these may include typologies, knowledge or databases, and various types of corpora. Theoretical considerations, proposed by the authors, are supported by a significant number of exemplary cases, with algorithms operation principles presented in charts. The reviewed book gives quite a comprehensive picture of modern computational linguistic studies focused on named entities recognition and indicates some problems which are unresolved as yet.

Search for an additional, heavy Higgs boson in the [Formula: see text] decay channel at [Formula: see text] in [Formula: see text] collision data with the ATLAS detector.

Science.gov (United States)

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Sykora, I; Sykora, T; Ta, D; Taccini, C; Tackmann, K; Taenzer, J; Taffard, A; Tafirout, R; Taiblum, N; Takai, H; Takashima, R; Takeda, H; Takeshita, T; Takubo, Y; Talby, M; Talyshev, A A; Tam, J Y C; Tan, K G; Tanaka, J; Tanaka, R; Tanaka, S; Tannenwald, B B; Tannoury, N; Tapprogge, S; Tarem, S; Tarrade, F; Tartarelli, G F; Tas, P; Tasevsky, M; Tashiro, T; Tassi, E; Tavares Delgado, A; Tayalati, Y; Taylor, F E; Taylor, G N; Taylor, W; Teischinger, F A; Teixeira Dias Castanheira, M; Teixeira-Dias, P; Temming, K K; Temple, D; Ten Kate, H; Teng, P K; Teoh, J J; Tepel, F; Terada, S; Terashi, K; Terron, J; Terzo, S; Testa, M; Teuscher, R J; Theveneaux-Pelzer, T; Thomas, J P; Thomas-Wilsker, J; Thompson, E N; Thompson, P D; Thompson, R J; Thompson, A S; Thomsen, L A; Thomson, E; Thomson, M; Thun, R P; Tibbetts, M J; Ticse Torres, R E; Tikhomirov, V O; Tikhonov, Yu A; Timoshenko, S; Tiouchichine, E; Tipton, P; Tisserant, S; Todome, K; Todorov, T; Todorova-Nova, S; Tojo, J; Tokár, S; Tokushuku, K; 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Vallecorsa, S; Valls Ferrer, J A; Van Den Wollenberg, W; Van Der Deijl, P C; van der Geer, R; van der Graaf, H; van Eldik, N; van Gemmeren, P; Van Nieuwkoop, J; van Vulpen, I; van Woerden, M C; Vanadia, M; Vandelli, W; Vanguri, R; Vaniachine, A; Vannucci, F; Vardanyan, G; Vari, R; Varnes, E W; Varol, T; Varouchas, D; Vartapetian, A; Varvell, K E; Vazeille, F; Vazquez Schroeder, T; Veatch, J; Veloce, L M; Veloso, F; Velz, T; Veneziano, S; Ventura, A; Ventura, D; Venturi, M; Venturi, N; Venturini, A; Vercesi, V; Verducci, M; Verkerke, W; Vermeulen, J C; Vest, A; Vetterli, M C; Viazlo, O; Vichou, I; Vickey, T; Vickey Boeriu, O E; Viehhauser, G H A; Viel, S; Vigne, R; Villa, M; Villaplana Perez, M; Vilucchi, E; Vincter, M G; Vinogradov, V B; Vivarelli, I; Vives Vaque, F; Vlachos, S; Vladoiu, D; Vlasak, M; Vogel, M; Vokac, P; Volpi, G; Volpi, M; von der Schmitt, H; von Radziewski, H; von Toerne, E; Vorobel, V; Vorobev, K; Vos, M; Voss, R; Vossebeld, J H; Vranjes, N; Vranjes Milosavljevic, M; 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Zibell, A; Zieminska, D; Zimine, N I; Zimmermann, C; Zimmermann, S; Zinonos, Z; Zinser, M; Ziolkowski, M; Živković, L; Zobernig, G; Zoccoli, A; Zur Nedden, M; Zurzolo, G; Zwalinski, L

A search is presented for a high-mass Higgs boson in the [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text] decay modes using the ATLAS detector at the CERN Large Hadron Collider. The search uses proton-proton collision data at a centre-of-mass energy of 8 TeV corresponding to an integrated luminosity of 20.3 fb[Formula: see text]. The results of the search are interpreted in the scenario of a heavy Higgs boson with a width that is small compared with the experimental mass resolution. The Higgs boson mass range considered extends up to [Formula: see text] for all four decay modes and down to as low as 140 [Formula: see text], depending on the decay mode. No significant excess of events over the Standard Model prediction is found. A simultaneous fit to the four decay modes yields upper limits on the production cross-section of a heavy Higgs boson times the branching ratio to [Formula: see text] boson pairs. 95 % confidence level upper limits range from 0.53 pb at [Formula: see text] GeV to 0.008 pb at [Formula: see text] GeV for the gluon-fusion production mode and from 0.31 pb at [Formula: see text] GeV to 0.009 pb at [Formula: see text] GeV for the vector-boson-fusion production mode. The results are also interpreted in the context of Type-I and Type-II two-Higgs-doublet models.

Text segmentation in degraded historical document images

Directory of Open Access Journals (Sweden)

A.S. Kavitha

2016-07-01

Full Text Available Text segmentation from degraded Historical Indus script images helps Optical Character Recognizer (OCR to achieve good recognition rates for Hindus scripts; however, it is challenging due to complex background in such images. In this paper, we present a new method for segmenting text and non-text in Indus documents based on the fact that text components are less cursive compared to non-text ones. To achieve this, we propose a new combination of Sobel and Laplacian for enhancing degraded low contrast pixels. Then the proposed method generates skeletons for text components in enhanced images to reduce computational burdens, which in turn helps in studying component structures efficiently. We propose to study the cursiveness of components based on branch information to remove false text components. The proposed method introduces the nearest neighbor criterion for grouping components in the same line, which results in clusters. Furthermore, the proposed method classifies these clusters into text and non-text cluster based on characteristics of text components. We evaluate the proposed method on a large dataset containing varieties of images. The results are compared with the existing methods to show that the proposed method is effective in terms of recall and precision.

A scalable machine-learning approach to recognize chemical names within large text databases

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Wren Jonathan D

2006-09-01

Full Text Available Abstract Motivation The use or study of chemical compounds permeates almost every scientific field and in each of them, the amount of textual information is growing rapidly. There is a need to accurately identify chemical names within text for a number of informatics efforts such as database curation, report summarization, tagging of named entities and keywords, or the development/curation of reference databases. Results A first-order Markov Model (MM was evaluated for its ability to distinguish chemical names from words, yielding ~93% recall in recognizing chemical terms and ~99% precision in rejecting non-chemical terms on smaller test sets. However, because total false-positive events increase with the number of words analyzed, the scalability of name recognition was measured by processing 13.1 million MEDLINE records. The method yielded precision ranges from 54.7% to 100%, depending upon the cutoff score used, averaging 82.7% for approximately 1.05 million putative chemical terms extracted. Extracted chemical terms were analyzed to estimate the number of spelling variants per term, which correlated with the total number of times the chemical name appeared in MEDLINE. This variability in term construction was found to affect both information retrieval and term mapping when using PubMed and Ovid.

When POS datasets don’t add up: Combatting sample bias

DEFF Research Database (Denmark)

Hovy, Dirk; Plank, Barbara; Søgaard, Anders

2014-01-01

Several works in Natural Language Processing have recently looked into part-of-speech (POS) annotation of Twitter data and typically used their own data sets. Since conventions on Twitter change rapidly, models often show sample bias. Training on a combination of the existing data sets should help...... overcome this bias and produce more robust models than any trained on the individual corpora. Unfortunately, combining the existing corpora proves difficult: many of the corpora use proprietary tag sets that have little or no overlap. Even when mapped to a common tag set, the different corpora...

Positivity of the English language.

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Isabel M Kloumann

Full Text Available Over the last million years, human language has emerged and evolved as a fundamental instrument of social communication and semiotic representation. People use language in part to convey emotional information, leading to the central and contingent questions: (1 What is the emotional spectrum of natural language? and (2 Are natural languages neutrally, positively, or negatively biased? Here, we report that the human-perceived positivity of over 10,000 of the most frequently used English words exhibits a clear positive bias. More deeply, we characterize and quantify distributions of word positivity for four large and distinct corpora, demonstrating that their form is broadly invariant with respect to frequency of word use.

ECO: A Framework for Entity Co-Occurrence Exploration with Faceted Navigation

Energy Technology Data Exchange (ETDEWEB)

Halliday, K. D. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

2010-08-20

Even as highly structured databases and semantic knowledge bases become more prevalent, a substantial amount of human knowledge is reported as written prose. Typical textual reports, such as news articles, contain information about entities (people, organizations, and locations) and their relationships. Automatically extracting such relationships from large text corpora is a key component of corporate and government knowledge bases. The primary goal of the ECO project is to develop a scalable framework for extracting and presenting these relationships for exploration using an easily navigable faceted user interface. ECO uses entity co-occurrence relationships to identify related entities. The system aggregates and indexes information on each entity pair, allowing the user to rapidly discover and mine relational information.

A Customizable Text Classifier for Text Mining

Directory of Open Access Journals (Sweden)

Yun-liang Zhang

2007-12-01

Full Text Available Text mining deals with complex and unstructured texts. Usually a particular collection of texts that is specified to one or more domains is necessary. We have developed a customizable text classifier for users to mine the collection automatically. It derives from the sentence category of the HNC theory and corresponding techniques. It can start with a few texts, and it can adjust automatically or be adjusted by user. The user can also control the number of domains chosen and decide the standard with which to choose the texts based on demand and abundance of materials. The performance of the classifier varies with the user's choice.

Utilizing Multi-Field Text Features for Efficient Email Spam Filtering

Directory of Open Access Journals (Sweden)

Wuying Liu

2012-06-01

Full Text Available Large-scale spam emails cause a serious waste of time and resources. This paper investigates the text features of email documents and the feature noises among multi-field texts, resulting in an observation of a power law distribution of feature strings within each text field. According to the observation, we propose an efficient filtering approach including a compound weight method and a lightweight field text classification algorithm. The compound weight method considers both the historical classifying ability of each field classifier and the classifying contribution of each text field in the current classified email. The lightweight field text classification algorithm straightforwardly calculates the arithmetical average of multiple conditional probabilities predicted from feature strings according to a string-frequency index for labeled emails storing. The string-frequency index structure has a random-sampling-based compressible property owing to the power law distribution and can largely reduce the storage space. The experimental results in the TREC spam track show that the proposed approach can complete the filtering task in low space cost and high speed, whose overall performance 1-ROCA exceeds the best one among the participators at the trec07p evaluation.

Text Entry by Gazing and Smiling

Directory of Open Access Journals (Sweden)

Outi Tuisku

2013-01-01

Full Text Available Face Interface is a wearable prototype that combines the use of voluntary gaze direction and facial activations, for pointing and selecting objects on a computer screen, respectively. The aim was to investigate the functionality of the prototype for entering text. First, three on-screen keyboard layout designs were developed and tested (n=10 to find a layout that would be more suitable for text entry with the prototype than traditional QWERTY layout. The task was to enter one word ten times with each of the layouts by pointing letters with gaze and select them by smiling. Subjective ratings showed that a layout with large keys on the edge and small keys near the center of the keyboard was rated as the most enjoyable, clearest, and most functional. Second, using this layout, the aim of the second experiment (n=12 was to compare entering text with Face Interface to entering text with mouse. The results showed that text entry rate for Face Interface was 20 characters per minute (cpm and 27 cpm for the mouse. For Face Interface, keystrokes per character (KSPC value was 1.1 and minimum string distance (MSD error rate was 0.12. These values compare especially well with other similar techniques.

Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal

Science.gov (United States)

2013-09-30

during the Empire Challenge 2008 and 2009 (EC08/09) field experiments and for numerous other field experiments of new technologies during Trident Warrior...Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/ VLC -2000) (pp. 63–70). Retrieved from http://nlp.stanford.edu/manning

Natural language acquisition in large scale neural semantic networks

Science.gov (United States)

Ealey, Douglas

This thesis puts forward the view that a purely signal- based approach to natural language processing is both plausible and desirable. By questioning the veracity of symbolic representations of meaning, it argues for a unified, non-symbolic model of knowledge representation that is both biologically plausible and, potentially, highly efficient. Processes to generate a grounded, neural form of this model-dubbed the semantic filter-are discussed. The combined effects of local neural organisation, coincident with perceptual maturation, are used to hypothesise its nature. This theoretical model is then validated in light of a number of fundamental neurological constraints and milestones. The mechanisms of semantic and episodic development that the model predicts are then used to explain linguistic properties, such as propositions and verbs, syntax and scripting. To mimic the growth of locally densely connected structures upon an unbounded neural substrate, a system is developed that can grow arbitrarily large, data- dependant structures composed of individual self- organising neural networks. The maturational nature of the data used results in a structure in which the perception of concepts is refined by the networks, but demarcated by subsequent structure. As a consequence, the overall structure shows significant memory and computational benefits, as predicted by the cognitive and neural models. Furthermore, the localised nature of the neural architecture also avoids the increasing error sensitivity and redundancy of traditional systems as the training domain grows. The semantic and episodic filters have been demonstrated to perform as well, or better, than more specialist networks, whilst using significantly larger vocabularies, more complex sentence forms and more natural corpora.

Utah Text Retrieval Project

Energy Technology Data Exchange (ETDEWEB)

Hollaar, L A

1983-10-01

The Utah Text Retrieval project seeks well-engineered solutions to the implementation of large, inexpensive, rapid text information retrieval systems. The project has three major components. Perhaps the best known is the work on the specialized processors, particularly search engines, necessary to achieve the desired performance and cost. The other two concern the user interface to the system and the system's internal structure. The work on user interface development is not only concentrating on the syntax and semantics of the query language, but also on the overall environment the system presents to the user. Environmental enhancements include convenient ways to browse through retrieved documents, access to other information retrieval systems through gateways supporting a common command interface, and interfaces to word processing systems. The system's internal structure is based on a high-level data communications protocol linking the user interface, index processor, search processor, and other system modules. This allows them to be easily distributed in a multi- or specialized-processor configuration. It also allows new modules, such as a knowledge-based query reformulator, to be added. 15 references.

Bidirectional Text Messaging to Improve Adherence to Recommended Lipid Testing.

Science.gov (United States)

Baldwin, Laura-Mae; Morrison, Caitlin; Griffin, Jonathan; Anderson, Nick; Edwards, Kelly; Green, Jeff; Waldren, Cleary; Reiter, William

2017-01-01

Synergies between technology and health care in the United States are accelerating, increasing opportunities to leverage these technologies to improve patient care. This study was a collaboration between an academic study team, a rural primary care clinic, and a local nonprofit informatics company developing tools to improve patient care through population management. Our team created a text messaging management tool, then developed methods for and tested the feasibility of bidirectional text messaging to remind eligible patients about the need for lipid testing. We measured patient response to the text messages, then interviewed 8 patients to explore their text messaging experience. Of the 129 patients the clinic was able to contact by phone, 29.4% had no cell phone or text-messaging capabilities. An additional 20% refused to participate. Two thirds of the 28 patients who participated in the text messaging intervention (67.9%) responded to at least 1 of the up to 3 messages. Seven of 8 interviewed patients had a positive text-messaging experience. Bidirectional text messaging is a feasible and largely acceptable form of communication for test reminders that has the potential to reach large numbers of patients in clinical care. © Copyright 2017 by the American Board of Family Medicine.

A Study on Text-Score Disagreement in Online Reviews

DEFF Research Database (Denmark)

Fazzolari, Michela; Cozza, Vittoria; Petrocchi, Marinella

2017-01-01

expressing different sentiments may feature the same score (and vice-versa), and (2) detecting and analyzing the mismatches between the review content and the actual score may benefit both service providers and consumers, by highlighting specific factors of satisfaction (and dissatisfaction) in texts....... To prove the intuitions, we adopt sentiment analysis techniques and we concentrate on hotel reviews, to find polarity mismatches therein. In particular, we first train a text classifier with a set of annotated hotel reviews, taken from the Booking website. Then, we analyze a large dataset, with around 160k...... between the text polarity and the score, we find that-on a scale of five stars-those reviews ranked with middle scores include a mixture of positive and negative aspects. The approach proposed here, beside acting as a polarity detector, provides an effective selection of reviews-on an initial very large...

Relating interesting quantitative time series patterns with text events and text features

Science.gov (United States)

Wanner, Franz; Schreck, Tobias; Jentner, Wolfgang; Sharalieva, Lyubka; Keim, Daniel A.

2013-12-01

In many application areas, the key to successful data analysis is the integrated analysis of heterogeneous data. One example is the financial domain, where time-dependent and highly frequent quantitative data (e.g., trading volume and price information) and textual data (e.g., economic and political news reports) need to be considered jointly. Data analysis tools need to support an integrated analysis, which allows studying the relationships between textual news documents and quantitative properties of the stock market price series. In this paper, we describe a workflow and tool that allows a flexible formation of hypotheses about text features and their combinations, which reflect quantitative phenomena observed in stock data. To support such an analysis, we combine the analysis steps of frequent quantitative and text-oriented data using an existing a-priori method. First, based on heuristics we extract interesting intervals and patterns in large time series data. The visual analysis supports the analyst in exploring parameter combinations and their results. The identified time series patterns are then input for the second analysis step, in which all identified intervals of interest are analyzed for frequent patterns co-occurring with financial news. An a-priori method supports the discovery of such sequential temporal patterns. Then, various text features like the degree of sentence nesting, noun phrase complexity, the vocabulary richness, etc. are extracted from the news to obtain meta patterns. Meta patterns are defined by a specific combination of text features which significantly differ from the text features of the remaining news data. Our approach combines a portfolio of visualization and analysis techniques, including time-, cluster- and sequence visualization and analysis functionality. We provide two case studies, showing the effectiveness of our combined quantitative and textual analysis work flow. The workflow can also be generalized to other

Search for Higgs boson pair production in the [Formula: see text] final state from pp collisions at [Formula: see text] TeVwith the ATLAS detector.

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Aad, G; Abbott, B; Abdallah, J; Abdinov, O; Aben, R; Abolins, M; AbouZeid, O S; Abramowicz, H; Abreu, H; Abreu, R; Abulaiti, Y; Acharya, B S; Adamczyk, L; Adams, D L; Adelman, J; Adomeit, S; Adye, T; Affolder, A A; Agatonovic-Jovin, T; Aguilar-Saavedra, J A; Ahlen, S P; Ahmadov, F; Aielli, G; Akerstedt, H; Åkesson, T P A; Akimoto, G; Akimov, A V; Alberghi, G L; Albert, J; Albrand, S; Alconada Verzini, M J; Aleksa, M; Aleksandrov, I N; Alexa, C; Alexander, G; Alexopoulos, T; Alhroob, M; Alimonti, G; Alio, L; Alison, J; Alkire, S P; Allbrooke, B M M; Allport, P P; Aloisio, A; Alonso, A; Alonso, F; Alpigiani, C; Altheimer, A; Alvarez Gonzalez, B; Álvarez Piqueras, D; Alviggi, M G; Amadio, B T; Amako, K; Amaral Coutinho, Y; Amelung, C; Amidei, D; Amor Dos Santos, S P; Amorim, A; Amoroso, S; Amram, N; Amundsen, G; Anastopoulos, C; Ancu, L S; Andari, N; Andeen, T; Anders, C F; Anders, G; Anders, J K; Anderson, K J; Andreazza, A; Andrei, V; Angelidakis, S; Angelozzi, I; Anger, P; Angerami, A; 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Tripiana, M F; Trischuk, W; Trocmé, B; Troncon, C; Trottier-McDonald, M; Trovatelli, M; True, P; Truong, L; Trzebinski, M; Trzupek, A; Tsarouchas, C; Tseng, J C-L; Tsiareshka, P V; Tsionou, D; Tsipolitis, G; Tsirintanis, N; Tsiskaridze, S; Tsiskaridze, V; Tskhadadze, E G; Tsukerman, I I; Tsulaia, V; Tsuno, S; Tsybychev, D; Tudorache, A; Tudorache, V; Tuna, A N; Tupputi, S A; Turchikhin, S; Turecek, D; Turra, R; Turvey, A J; Tuts, P M; Tykhonov, A; Tylmad, M; Tyndel, M; Ueda, I; Ueno, R; Ughetto, M; Ugland, M; Uhlenbrock, M; Ukegawa, F; Unal, G; Undrus, A; Unel, G; Ungaro, F C; Unno, Y; Unverdorben, C; Urban, J; Urquijo, P; Urrejola, P; Usai, G; Usanova, A; Vacavant, L; Vacek, V; Vachon, B; Valderanis, C; Valencic, N; Valentinetti, S; Valero, A; Valery, L; Valkar, S; Valladolid Gallego, E; Vallecorsa, S; Valls Ferrer, J A; Van Den Wollenberg, W; Van Der Deijl, P C; van der Geer, R; van der Graaf, H; Van Der Leeuw, R; van Eldik, N; van Gemmeren, P; Van Nieuwkoop, J; van Vulpen, I; van Woerden, M C; Vanadia, M; Vandelli, W; Vanguri, R; Vaniachine, A; Vannucci, F; Vardanyan, G; Vari, R; Varnes, E W; Varol, T; Varouchas, D; Vartapetian, A; Varvell, K E; Vazeille, F; Vazquez Schroeder, T; Veatch, J; Veloce, L M; Veloso, F; Velz, T; Veneziano, S; Ventura, A; Ventura, D; Venturi, M; Venturi, N; Venturini, A; Vercesi, V; Verducci, M; Verkerke, W; Vermeulen, J C; Vest, A; Vetterli, M C; Viazlo, O; Vichou, I; Vickey, T; Vickey Boeriu, O E; Viehhauser, G H A; Viel, S; Vigne, R; Villa, M; Villaplana Perez, M; Vilucchi, E; Vincter, M G; Vinogradov, V B; Vivarelli, I; Vives Vaque, F; Vlachos, S; Vladoiu, D; Vlasak, M; Vogel, M; Vokac, P; Volpi, G; Volpi, M; von der Schmitt, H; von Radziewski, H; von Toerne, E; Vorobel, V; Vorobev, K; Vos, M; Voss, R; Vossebeld, J H; Vranjes, N; Vranjes Milosavljevic, M; Vrba, V; Vreeswijk, M; Vuillermet, R; Vukotic, I; Vykydal, Z; Wagner, P; Wagner, W; Wahlberg, H; Wahrmund, S; Wakabayashi, J; Walder, J; Walker, R; Walkowiak, W; Wang, C; Wang, F; Wang, H; Wang, H; Wang, J; Wang, J; Wang, K; Wang, R; Wang, S M; Wang, T; Wang, X; Wanotayaroj, C; Warburton, A; Ward, C P; Wardrope, D R; Warsinsky, M; Washbrook, A; Wasicki, C; Watkins, P M; Watson, A T; Watson, I J; Watson, M F; Watts, G; Watts, S; Waugh, B M; Webb, S; Weber, M S; Weber, S W; Webster, J S; Weidberg, A R; Weinert, B; Weingarten, J; Weiser, C; Weits, H; Wells, P S; Wenaus, T; Wengler, T; Wenig, S; Wermes, N; Werner, M; Werner, P; Wessels, M; Wetter, J; Whalen, K; Wharton, A M; White, A; White, M J; White, R; White, S; Whiteson, D; Wickens, F J; Wiedenmann, W; Wielers, M; Wienemann, P; Wiglesworth, C; Wiik-Fuchs, L A M; Wildauer, A; Wilkens, H G; Williams, H H; Williams, S; Willis, C; Willocq, S; Wilson, A; Wilson, J A; Wingerter-Seez, I; Winklmeier, F; Winter, B T; Wittgen, M; Wittkowski, J; Wollstadt, S J; Wolter, M W; Wolters, H; Wosiek, B K; Wotschack, J; Woudstra, M J; Wozniak, K W; Wu, M; Wu, M; Wu, S L; Wu, X; Wu, Y; Wyatt, T R; Wynne, B M; Xella, S; Xu, D; Xu, L; Yabsley, B; Yacoob, S; Yakabe, R; Yamada, M; Yamaguchi, Y; Yamamoto, A; Yamamoto, S; Yamanaka, T; Yamauchi, K; Yamazaki, Y; Yan, Z; Yang, H; Yang, H; Yang, Y; Yao, W-M; Yasu, Y; Yatsenko, E; Yau Wong, K H; Ye, J; Ye, S; Yeletskikh, I; Yen, A L; Yildirim, E; Yorita, K; Yoshida, R; Yoshihara, K; Young, C; Young, C J S; Youssef, S; Yu, D R; Yu, J; Yu, J M; Yu, J; Yuan, L; Yurkewicz, A; Yusuff, I; Zabinski, B; Zaidan, R; Zaitsev, A M; Zalieckas, J; Zaman, A; Zambito, S; Zanello, L; Zanzi, D; Zeitnitz, C; Zeman, M; Zemla, A; Zengel, K; Zenin, O; Ženiš, T; Zerwas, D; Zhang, D; Zhang, F; Zhang, H; Zhang, J; Zhang, L; Zhang, R; Zhang, X; Zhang, Z; Zhao, X; Zhao, Y; Zhao, Z; Zhemchugov, A; Zhong, J; Zhou, B; Zhou, C; Zhou, L; Zhou, L; Zhou, N; Zhu, C G; Zhu, H; Zhu, J; Zhu, Y; Zhuang, X; Zhukov, K; Zibell, A; Zieminska, D; Zimine, N I; Zimmermann, C; Zimmermann, S; Zinonos, Z; Zinser, M; Ziolkowski, M; Živković, L; Zobernig, G; Zoccoli, A; Zur Nedden, M; Zurzolo, G; Zwalinski, L

A search for Higgs boson pair production [Formula: see text] is performed with 19.5 fb[Formula: see text] of proton-proton collision data at [Formula: see text] TeV, which were recorded by the ATLAS detector at the Large Hadron Collider in 2012. The decay products of each Higgs boson are reconstructed as a high-momentum [Formula: see text] system with either a pair of small-radius jets or a single large-radius jet, the latter exploiting jet substructure techniques and associated b -tagged track-jets. No evidence for resonant or non-resonant Higgs boson pair production is observed. The data are interpreted in the context of the Randall-Sundrum model with a warped extra dimension as well as the two-Higgs-doublet model. An upper limit on the cross-section for [Formula: see text] of 3.2 (2.3) fb is set for a Kaluza-Klein graviton [Formula: see text] mass of 1.0 (1.5) TeV, at the 95 % confidence level. The search for non-resonant Standard Model hh production sets an observed 95 % confidence level upper limit on the production cross-section [Formula: see text] of 202 fb, compared to a Standard Model prediction of [Formula: see text] fb.

EXPLORING THEORETICAL FUNCTIONS OF CORPUS DATA IN TEACHING TRANSLATION

OpenAIRE

Poirier, Éric

2016-01-01

Abstract As language referential data banks, corpora are instrumental in the exploration of translation solutions in bilingual parallel texts or conventional usages of source or target language in monolingual general or specialized texts. These roles are firmly rooted in translation processes, from analysis and interpretation of source text to searching for an acceptable equivalent and integrating it into the production of the target text. Provided the creative and not the conservative way be...

Training IBM Watson using Automatically Generated Question-Answer Pairs

OpenAIRE

Lee, Jangho; Kim, Gyuwan; Yoo, Jaeyoon; Jung, Changwoo; Kim, Minseok; Yoon, Sungroh

2016-01-01

IBM Watson is a cognitive computing system capable of question answering in natural languages. It is believed that IBM Watson can understand large corpora and answer relevant questions more effectively than any other question-answering system currently available. To unleash the full power of Watson, however, we need to train its instance with a large number of well-prepared question-answer pairs. Obviously, manually generating such pairs in a large quantity is prohibitively time consuming and...

Tienerafrikaans | Marais | Journal for Language Teaching

African Journals Online (AJOL)

These are based on large corpora of teenage language for different languages like the Bergen Corpus of London Teenage Language" (Colt) (1993), Jugentliche und 'ihre' Sprache (1996), Deutsche Jugendsprache and Sprákkontakt och ungdomssprák i Norden (UNO) (1997-2000). For Afrikaans the first corpus of teenage ...

Deep learning with word embeddings improves biomedical named entity recognition.

Science.gov (United States)

Habibi, Maryam; Weber, Leon; Neves, Mariana; Wiegandt, David Luis; Leser, Ulf

2017-07-15

Text mining has become an important tool for biomedical research. The most fundamental text-mining task is the recognition of biomedical named entities (NER), such as genes, chemicals and diseases. Current NER methods rely on pre-defined features which try to capture the specific surface properties of entity types, properties of the typical local context, background knowledge, and linguistic information. State-of-the-art tools are entity-specific, as dictionaries and empirically optimal feature sets differ between entity types, which makes their development costly. Furthermore, features are often optimized for a specific gold standard corpus, which makes extrapolation of quality measures difficult. We show that a completely generic method based on deep learning and statistical word embeddings [called long short-term memory network-conditional random field (LSTM-CRF)] outperforms state-of-the-art entity-specific NER tools, and often by a large margin. To this end, we compared the performance of LSTM-CRF on 33 data sets covering five different entity classes with that of best-of-class NER tools and an entity-agnostic CRF implementation. On average, F1-score of LSTM-CRF is 5% above that of the baselines, mostly due to a sharp increase in recall. The source code for LSTM-CRF is available at https://github.com/glample/tagger and the links to the corpora are available at https://corposaurus.github.io/corpora/ . habibima@informatik.hu-berlin.de. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Texting while driving: is speech-based text entry less risky than handheld text entry?

Science.gov (United States)

He, J; Chaparro, A; Nguyen, B; Burge, R J; Crandall, J; Chaparro, B; Ni, R; Cao, S

2014-11-01

Research indicates that using a cell phone to talk or text while maneuvering a vehicle impairs driving performance. However, few published studies directly compare the distracting effects of texting using a hands-free (i.e., speech-based interface) versus handheld cell phone, which is an important issue for legislation, automotive interface design and driving safety training. This study compared the effect of speech-based versus handheld text entries on simulated driving performance by asking participants to perform a car following task while controlling the duration of a secondary text-entry task. Results showed that both speech-based and handheld text entries impaired driving performance relative to the drive-only condition by causing more variation in speed and lane position. Handheld text entry also increased the brake response time and increased variation in headway distance. Text entry using a speech-based cell phone was less detrimental to driving performance than handheld text entry. Nevertheless, the speech-based text entry task still significantly impaired driving compared to the drive-only condition. These results suggest that speech-based text entry disrupts driving, but reduces the level of performance interference compared to text entry with a handheld device. In addition, the difference in the distraction effect caused by speech-based and handheld text entry is not simply due to the difference in task duration. Copyright © 2014 Elsevier Ltd. All rights reserved.

Profiling vocabulary in psychology journal abstracts: A comparison between Iranian and Anglo-American journals

Directory of Open Access Journals (Sweden)

Is’haaq Akbarian

2017-01-01

Full Text Available Lexical profiling has yielded fruitful results for language description and pedagogy (Liu, 2014, and particularly highlighted the significance of academic vocabulary for EFL learners in this process. This investigation, likewise, attempts to comparatively profile the vocabulary, more particularly the academic vocabulary, in the ‘abstract’ section of scholarly articles in Iranian and Anglo-American refereed journals in psychology. Iranian journals under study publish articles in Persian but also include an English abstract whereas the latter publish papers in English. For this purpose, a corpus (consisting of 307,126 words, with two sub-corpora of almost similar size and characteristics, was collected from Iranian and Anglo-American journals and analyzed through the software Range. The analyses conducted show a coverage of over 15 percent and the use of over 500 words of the Academic Word List (AWL in both Iranian and Anglo-American sub-corpora. However, there are variations in academic and nonacademic vocabulary use in abstracts across the two sub-corpora above. Most of the academic words used belong to the beginning AWL sub-lists. Pedagogical implications are made for reading and writing, particularly in EAP contexts.

Tunical Outer Layer Plays an Essential Role in Penile Veno-occlusive Mechanism Evidenced from Electrocautery Effects to the Corpora Cavernosa in Defrosted Human Cadavers.

Science.gov (United States)

Hsieh, Cheng-Hsing; Huang, Yi-Ping; Tsai, Mang-Hung; Chen, Heng-Shen; Huang, Po-Cheng; Lin, Chung-Wu; Hsu, Geng-Long

2015-12-01

To determine the exact anatomical structure for establishing penile veno-occlusive function, we sought to conduct a hemodynamic study on defrosted human cadavers. Thirteen penises were used for this experiment, and 11 intact penises were allocated into the electrocautery group (EG, n = 6) and the ligation group (LG, n = 5). A circumcision was made on the penis to access the veins. Two #19 scalp needles were fixed in the 3 and 9 o'clock positions in the distal penis for colloid infusion and intracavernous pressure (ICP) monitoring, respectively. For the EG, the deep dorsal vein and cavernosal vein trunks were freed for 3-5 cm where at least 3 emissary veins were identified via opening Buck's fascia; these veins underwent electrocautery at 45 watts, while the ICP was maintained at 0, 50, 75, 100, 125, and 150 mmHg, respectively. For control, venous ligation was made but at the ICP of 150 mmHg. A tissue block including the emissary vein was then obtained for histological analysis. Except all in the EG and those whose ICP exceed 125 mmHg in the EG, the sinusoids of the corpora cavernosa sustained varied fulgurated fibrosis in every specimen and the severity appeared reversely commensurate with the ICP regarding sinusoidal clumping and darkish bands (P electrocautery damage to intracavernous sinusoids once the ICP reached a level corresponding to a rigid erection. The outer tunica plays an essential role in fulfilling the veno-occlusive mechanism. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

Efficient data selection for ASR

CSIR Research Space (South Africa)

Kleynhans, NT

2014-10-01

Full Text Available the deployment of ASR systems in the developing world is severely inhibited. One approach to assist with resource-scarce ASR system development, is to select ‘‘useful’’ training samples which could reduce the resources needed to collect new corpora. In this work...

Centrality dependence of low-$p_{_\\text{T}}$ and high-$p_{_\\text{T}}$ particle production in proton--lead collisions with ATLAS

CERN Document Server

Shulga, Evgeny; The ATLAS collaboration

2015-01-01

Measurements of the centrality dependence of low-$p_{_\\text{T}}$ and high-$p_{_\\text{T}}$ particle production in proton-lead collisions at the LHC can provide unique insight into the dynamics of soft and hard scattering processes and the initial state of ultra-relativistic nuclear collisions. Recent results have shown that both soft and hard processes may be significantly influenced by event-to-event fluctuations (variations) in the structure of the proton. In this talk, the latest measurements of the centrality dependence of charged particle, jet, and Z boson production with the ATLAS detector at the LHC will be used to explore these questions. In particular, the sensitivity of the charged particle pseudorapidity distribution in proton--lead collisions to the choice of centrality variable will be discussed. Separately, the strong centrality dependence of jet production in proton--lead collisions has raised questions about energy production at large rapidities in collisions involving a large proton-x. To addr...

ANALYSIS OF SPECIALISED COLLOCATIONS IN THE AREA OF REMOTE SENSING IN THE PERSPECTIVE OF PHRASEOLOGY

Directory of Open Access Journals (Sweden)

Diva Cardoso de CAMARGO

2013-12-01

Full Text Available The aim of this research is to build and analyze a parallel corpus in the field of remote sensing in order to identify, according to its frequency, specialized collocations in English and then search for their equivalents in Portuguese. The research is based on the interdisciplinary approach of Corpus-Based Translation Studies (BAKER, 1995; CAMARGO, 2007, Corpus Linguistics (BERBER SARDINHA, 2004; TOGNINI-BONELLI, 2001, Phraseology (ORENHA-OTTAIANO, 2009; PAVEL, 1993, and some principles of Terminology (BARROS, 2004. For manipulating the corpora, the program WordSmith Tools (SCOTT, 2012 version 6.0 is used. To support this study, two comparable corpora in English and Portuguese were also built from articles published in both national and international journals in remote sensing. The results show that the collocations in Portuguese seem to be still in the process of conventionalization, as the translators made use of greater variation in their translational options, which can be a way to make the text clearer for the reader.

Important Text Characteristics for Early-Grades Text Complexity

Science.gov (United States)

Fitzgerald, Jill; Elmore, Jeff; Koons, Heather; Hiebert, Elfrieda H.; Bowen, Kimberly; Sanford-Moore, Eleanor E.; Stenner, A. Jackson

2015-01-01

The Common Core set a standard for all children to read increasingly complex texts throughout schooling. The purpose of the present study was to explore text characteristics specifically in relation to early-grades text complexity. Three hundred fifty primary-grades texts were selected and digitized. Twenty-two text characteristics were identified…

Phraseology and Frequency of Occurrence on the Web: Native Speakers' Perceptions of Google-Informed Second Language Writing

Science.gov (United States)

Geluso, Joe

2013-01-01

Usage-based theories of language learning suggest that native speakers of a language are acutely aware of formulaic language due in large part to frequency effects. Corpora and data-driven learning can offer useful insights into frequent patterns of naturally occurring language to second/foreign language learners who, unlike native speakers, are…

Automated Session-Quality Assessment for Human Tutoring Based on Expert Ratings of Tutoring Success

Science.gov (United States)

Nye, Benjamin D.; Morrison, Donald M.; Samei, Borhan

2015-01-01

Archived transcripts from tens of millions of online human tutoring sessions potentially contain important knowledge about how online tutors help, or fail to help, students learn. However, without ways of automatically analyzing these large corpora, any knowledge in this data will remain buried. One way to approach this issue is to train an…

An Analysis of The Oxford Guide to Practical Lexicography (Atkins ...

African Journals Online (AJOL)

Abstract: Since at least a decade ago, the lexicographic community at large has been demanding that a modern textbook be designed — one that would place corpora at the centre of the lexicographic enterprise. Written by two of the most respected practising lexicographers, this book has finally arrived, and delivers on very ...

Sentiment analysis of political communication: combining a dictionary approach with crowdcoding.

Science.gov (United States)

Haselmayer, Martin; Jenny, Marcelo

2017-01-01

Sentiment is important in studies of news values, public opinion, negative campaigning or political polarization and an explosive expansion of digital textual data and fast progress in automated text analysis provide vast opportunities for innovative social science research. Unfortunately, tools currently available for automated sentiment analysis are mostly restricted to English texts and require considerable contextual adaption to produce valid results. We present a procedure for collecting fine-grained sentiment scores through crowdcoding to build a negative sentiment dictionary in a language and for a domain of choice. The dictionary enables the analysis of large text corpora that resource-intensive hand-coding struggles to cope with. We calculate the tonality of sentences from dictionary words and we validate these estimates with results from manual coding. The results show that the crowdbased dictionary provides efficient and valid measurement of sentiment. Empirical examples illustrate its use by analyzing the tonality of party statements and media reports.

Reduction corporoplasty.

Science.gov (United States)

Hakky, Tariq S; Martinez, Daniel; Yang, Christopher; Carrion, Rafael E

2015-01-01

Here we present the first video demonstration of reduction corporoplasty in the management of phallic disfigurement in a 17 year old man with a history sickle cell disease and priapism. Surgical management of aneurysmal dilation of the corpora has yet to be defined in the literature. We preformed bilateral elliptical incisions over the lateral corpora as management of aneurysmal dilation of the corpora to correct phallic disfigurement. The patient tolerated the procedure well and has resolution of his corporal disfigurement. Reduction corporoplasty using bilateral lateral elliptical incisions in the management of aneurysmal dilation of the corpora is a safe an feasible operation in the management of phallic disfigurement.

Evaluating Hierarchical Structure in Music Annotations

Directory of Open Access Journals (Sweden)

Brian McFee

2017-08-01

Full Text Available Music exhibits structure at multiple scales, ranging from motifs to large-scale functional components. When inferring the structure of a piece, different listeners may attend to different temporal scales, which can result in disagreements when they describe the same piece. In the field of music informatics research (MIR, it is common to use corpora annotated with structural boundaries at different levels. By quantifying disagreements between multiple annotators, previous research has yielded several insights relevant to the study of music cognition. First, annotators tend to agree when structural boundaries are ambiguous. Second, this ambiguity seems to depend on musical features, time scale, and genre. Furthermore, it is possible to tune current annotation evaluation metrics to better align with these perceptual differences. However, previous work has not directly analyzed the effects of hierarchical structure because the existing methods for comparing structural annotations are designed for “flat” descriptions, and do not readily generalize to hierarchical annotations. In this paper, we extend and generalize previous work on the evaluation of hierarchical descriptions of musical structure. We derive an evaluation metric which can compare hierarchical annotations holistically across multiple levels. sing this metric, we investigate inter-annotator agreement on the multilevel annotations of two different music corpora, investigate the influence of acoustic properties on hierarchical annotations, and evaluate existing hierarchical segmentation algorithms against the distribution of inter-annotator agreement.

Exploring theoretical functions of corpus data in teaching translation

OpenAIRE

Éric Poirier

2016-01-01

http://dx.doi.org/10.5007/2175-7968.2016v36nesp1p177 As language referential data banks, corpora are instrumental in the exploration of translation solutions in bilingual parallel texts or conventional usages of source or target language in monolingual general or specialized texts. These roles are firmly rooted in translation processes, from analysis and interpretation of source text to searching for an acceptable equivalent and integrating it into the production of the target text. Provi...

ANÁLISE SOBRE AS NORMAS E DOS INDICADORES DE SUSTENTABILIDADE E A SUA INTEGRAÇÃO PARA GESTÃO CORPORATIVA

Directory of Open Access Journals (Sweden)

Alexandre André Feil

2013-09-01

Full Text Available O conceito da sustentabilidade e as normas de qualidade desafiam corporações e pesquisadores para a criação de modelos produtivos que contemplam a sustentabilidade sob os aspectos ambientais, sociais e econômicos, apoiados na teoria do triple-botton line. Este artigo tem o objetivo de relacionar as normas de qualidade (certificações e os métodos de sustentabilidade corporativa comparando a integração dos sistemas de gestão ambiental e gestão gerencial. Utilizou-se metodologia qualitativa com perspectivas na abordagem bibliográfica e descritiva, buscando as principais normas de qualidade utilizadas nas corporações globais e os modelos de mensuração da sustentabilidade na concepção dos principais cientistas e pesquisadores. Identificou-se que há grande aderência das normas de qualidade e à sustentabilidade corporativa, sendo contemplados em ambos os casos a ligação entre os aspectos ambientais, sociais e econômicos. No entanto, constata-se a divergência entre as partes quanto ao consenso de um modelo de sustentabilidade de utilização global. Sugere-se que os gestores das corporações possam realizar a integração entre a gestão das normas de qualidade e a sustentabilidade, e em conseqüência, reduzir os custos, a mão de obra e o tempo, a fim de agregar maior eficiência nos controles internos das corporações e do monitoramento dos Stakeholders.

A cohesive page ranking and depth-first crawling scheme for ...

African Journals Online (AJOL)

Documents or corpora of known measures in query types, recalls and precision from the Text Retrieval Conference (TREC), the Initiative for Evaluation of XML retrieval (INEX) and REUTERs collection, were used as work bench for evaluation of the system. The results obtained showed significant improvement from results if ...

Collaborative work on evaluation of ovarian toxicity. 13) Two- or four-week repeated dose studies and fertility study of PPAR alpha/gamma dual agonist in female rats.

Science.gov (United States)

Sato, Norihiro; Uchida, Keisuke; Nakajima, Mikio; Watanabe, Atsushi; Kohira, Terutomo

2009-01-01

The main focus of this study was to determine the optimal dosing period in a repeated dose toxicity study based on toxic effects as assessed by ovarian morphological changes. To assess morphological and functional changes induced in the ovary by a peroxisome proliferator-activated receptor (PPAR) alpha/gamma dual agonist, the compound was administered to female rats at dose levels of 0, 4, 20, and 100 mg/kg/day in a repeated dose toxicity study for 2 or 4 weeks, and from 2 weeks prior to mating to Day 7 of pregnancy in a female fertility study. In the repeated dose toxicity study, an increase in atresia of large follicles, a decrease in corpora lutea, and an increase in stromal cells were observed in the treated groups. In addition, the granulosa cell exfoliations into antrum of large follicles and corpora lutea with retained oocyte are morphological characteristics induced by this compound, and they might be related with abnormal condition of ovulation. In the female fertility study, the pregnancy rate tended to decrease in the 100 mg/kg/day group. At necropsy, decreases in the number of corpora lutea, implantations and live embryos were noted in the 20 and 100 mg/kg/day group. No changes were observed in animals given 4 mg/kg/day. These findings indicated that histopathological changes in the ovary are important endpoints for evaluation of drugs inducing ovarian damage. In conclusion, a 2-week administration period is sufficient to detect ovarian toxicity of this test compound in the repeated dose toxicity study.

Text processing for technical reports (direct computer-assisted origination, editing, and output of text)

Energy Technology Data Exchange (ETDEWEB)

De Volpi, A.; Fenrick, M. R.; Stanford, G. S.; Fink, C. L.; Rhodes, E. A.

1980-10-01

Documentation often is a primary residual of research and development. Because of this important role and because of the large amount of time consumed in generating technical reports, particularly those containing formulas and graphics, an existing data-processing computer system has been adapted so as to provide text-processing of technical documents. Emphasis has been on accuracy, turnaround time, and time savings for staff and secretaries, for the types of reports normally produced in the reactor development program. The computer-assisted text-processing system, called TXT, has been implemented to benefit primarily the originator of technical reports. The system is of particular value to professional staff, such as scientists and engineers, who have responsibility for generating much correspondence or lengthy, complex reports or manuscripts - especially if prompt turnaround and high accuracy are required. It can produce text that contains special Greek or mathematical symbols. Written in FORTRAN and MACRO, the program TXT operates on a PDP-11 minicomputer under the RSX-11M multitask multiuser monitor. Peripheral hardware includes videoterminals, electrostatic printers, and magnetic disks. Either data- or word-processing tasks may be performed at the terminals. The repertoire of operations has been restricted so as to minimize user training and memory burden. Spectarial staff may be readily trained to make corrections from annotated copy. Some examples of camera-ready copy are provided.

Mining the Text: 34 Text Features that Can Ease or Obstruct Text Comprehension and Use

Science.gov (United States)

White, Sheida

2012-01-01

This article presents 34 characteristics of texts and tasks ("text features") that can make continuous (prose), noncontinuous (document), and quantitative texts easier or more difficult for adolescents and adults to comprehend and use. The text features were identified by examining the assessment tasks and associated texts in the national…

Inductive inference for large scale text classification

OpenAIRE

Silva, Catarina Helena Branco Simões da

2009-01-01

Tese de doutoramento em Engenharia Informática apresentada à Fac. de Ciências e Tecnologia da Univ. de Coimbra Nas últimas décadas a disponibilidade e importância dos textos em formato digital tem vindo a aumentar exponencialmente, encontrando-se neste momento presentes em quase todos os aspectos da vida moderna. A classificação de textos é deste modo uma área activa de investigação, justificada por muitas aplicações reais. Ainda assim, lidar com a sobrecarga de textos em formato digital e...

Korpusbasierte Analyse der Semantik von Idiomen

Directory of Open Access Journals (Sweden)

Stathi, Katerina

2006-01-01

Full Text Available Idioms are usually defined in semantic terms as non-compositional units whose meaning does not result from the meaning of their parts. This definition implies that idioms have exactly one meaning. But if we examine idioms in context in large electronic corpora, we observe that the meaning of idioms is contextually variable, like that of words. We observe uses that exceed the range of the conventionalized and (lexicographically codified meaning. A case study (the German idiom ins Gras beißen, literally "to bite into the grass", 'to die, to bite the dust' is used as an illustration of the relation between core meaning and contextual variability or meaning extension in idioms and the underlying mechanisms of this process.

On an emotional node: modeling sentiment in graphs of action verbs

DEFF Research Database (Denmark)

Petersen, Michael Kai; Hansen, Lars Kai

2012-01-01

Neuroimaging studies have over the past decades established that language is grounded in sensorimotor areas of the brain. Not only action verbs related to face and hand motion but also emotional expressions activate premotor systems in the brain. Hypothesizing that patterns of neural activation...... might be reflected in the latent semantics of words, we apply hierarchical clustering and network graph analysis to quantify the interaction of emotion and motion related action verbs based on two large-scale text corpora. Comparing the word topologies to neural networks we suggest that the co......-activation of associated word forms in the brain resemble the latent semantics of action verbs, which may in turn reflect parameters of force and spatial differentiation underlying action based language....

Credit Risk Evaluation of Swedish SMEs : A Banking Sector Perspective

OpenAIRE

Hörstedt, Maria; Linjamaa, Johanna

2015-01-01

As a result from the latest financial crisis, the banking industry has undergone major modifications during the last years in order to limit banks’ risks. A vast majority of existing literature tends to focus upon credit risk evaluation methods and techniques mainly concerning quantitative measures and large companies. Thus, the lack of research regarding credit risk evaluation of SMEs is profound, especially considering Sweden. With the dominant market share of SMEs compared to large corpora...

Joint Group and Topic Discovery from Relations and Text

National Research Council Canada - National Science Library

McCallum, Andrew; Wang, Xuerui; Mohanty, Natasha

2006-01-01

.... We present experimental results on two large data sets: sixteen years of bills put before the U.S. Senate, comprising their corresponding text and voting records, and 43 years of similar data from the United Nations...

Control of corpus allatum activity in the adult Colorado potato beetle

International Nuclear Information System (INIS)

Khan, M.A.

1983-01-01

Assay conditions for the short-term, radiochemical, in vitro determination of the spontaneous rate of juvenile hormone biosynthesis by isolated corpora allata from Leptinotarsa decemlineata have been further improved permitting the measurement of juvenile hormone biosynthesis by individual pairs of corpora allata. Using the new assay conditions, the activities of adult corpora allata during maturation were found to be significantly higher in reproductive, long-day animals than in pre-diapause, short-day beetles. During diapause no activity was detectable, whereas corpora allata from post-diapause beetles were reactivated totally after 5 days. Simultaneous determination of the in vitro rates of juvenile hormone biosynthesis and corpus allatum volumes revealed no clear correlation. (Auth.)

L2 writing assistants and context-aware dictionaries: New ...

African Journals Online (AJOL)

Dictionaries are increasingly integrated into other tools designed to assist the reading, writing and translation of texts. Write Assistant is a newly developed tool aimed at assisting people writing in a second language. It feeds on big data taken in from corpora and digital dictionaries. The paper discusses the philosophy ...

Text mining in livestock animal science: introducing the potential of text mining to animal sciences.

Science.gov (United States)

Sahadevan, S; Hofmann-Apitius, M; Schellander, K; Tesfaye, D; Fluck, J; Friedrich, C M

2012-10-01

In biological research, establishing the prior art by searching and collecting information already present in the domain has equal importance as the experiments done. To obtain a complete overview about the relevant knowledge, researchers mainly rely on 2 major information sources: i) various biological databases and ii) scientific publications in the field. The major difference between the 2 information sources is that information from databases is available, typically well structured and condensed. The information content in scientific literature is vastly unstructured; that is, dispersed among the many different sections of scientific text. The traditional method of information extraction from scientific literature occurs by generating a list of relevant publications in the field of interest and manually scanning these texts for relevant information, which is very time consuming. It is more than likely that in using this "classical" approach the researcher misses some relevant information mentioned in the literature or has to go through biological databases to extract further information. Text mining and named entity recognition methods have already been used in human genomics and related fields as a solution to this problem. These methods can process and extract information from large volumes of scientific text. Text mining is defined as the automatic extraction of previously unknown and potentially useful information from text. Named entity recognition (NER) is defined as the method of identifying named entities (names of real world objects; for example, gene/protein names, drugs, enzymes) in text. In animal sciences, text mining and related methods have been briefly used in murine genomics and associated fields, leaving behind other fields of animal sciences, such as livestock genomics. The aim of this work was to develop an information retrieval platform in the livestock domain focusing on livestock publications and the recognition of relevant data from

CzEngClass – Towards a Lexicon of Verb Synonyms with Valency Linked to Semantic Roles

Directory of Open Access Journals (Sweden)

Urešová Zdeňka

2017-12-01

Full Text Available In this paper, we introduce our ongoing project about synonymy in bilingual context. This project aims at exploring semantic ‘equivalence’ of verb senses of generally different verbal lexemes in a bilingual (Czech-English setting. Specifically, it focuses on their valency behavior within such equivalence groups. We believe that using bilingual context (translation as an important factor in the delimitation of classes of synonymous lexical units (verbs, in our case may help to specify the verb senses, also with regard to the (semantic roles relation to other verb senses and roles of their arguments more precisely than when using monolingual corpora. In our project, we work “bottom-up”, i.e., from an evidence as recorded in our corpora and not “top-down”, from a predefined set of semantic classes.

A set of high quality colour images with Spanish norms for seven relevant psycholinguistic variables: the Nombela naming test.

Science.gov (United States)

Moreno-Martinez, Francisco Javier; Montoro, Pedro R; Laws, Keith R

2011-05-01

This paper presents a new corpus of 140 high quality colour images belonging to 14 subcategories and covering a range of naming difficulty. One hundred and six Spanish speakers named the items and provided data for several psycholinguistic variables: age of acquisition, familiarity, manipulability, name agreement, typicality and visual complexity. Furthermore, we also present lexical frequency data derived internet search hits. Apart from the large number of variables evaluated, these stimuli present an important advantage with respect to other comparable image corpora in so far as naming performance in healthy individuals is less prone to ceiling effect problems. Reliability and validity indexes showed that our items display similar psycholinguistic characteristics to those of other corpora. In sum, this set of ecologically valid stimuli provides a useful tool for scientists engaged in cognitive and neuroscience-based research.

A Corpus of Annotated Irish Traditional Dance Music Recordings: Design and Benchmark Evaluations

OpenAIRE

Beauguitte, Pierre; Duggan, Bryan; Kelleher, John

2016-01-01

An emerging trend in music information retrieval (MIR) is the use of supervised machine learning to train automatic music transcription models. A prerequisite of adopting a machine learning methodology is the availability of annotated corpora. However, different genres of music have different characteristics and modelling these characteristics is an important part of creating state of the art MIR systems. Consequently, although some music corpora are available the use of these corpora is tied...

Text and ideology: text-oriented discourse analysis

Directory of Open Access Journals (Sweden)

Maria Eduarda Gonçalves Peixoto

2018-04-01

Full Text Available The article aims to contribute to the understanding of the connection between text and ideology articulated by the text-oriented analysis of discourse (ADTO. Based on the reflections of Fairclough (1989, 2001, 2003 and Fairclough and Chouliaraki (1999, the debate presents the social ontology that ADTO uses to base its conception of social life as an open system and textually mediated; the article then explains the chronological-narrative development of the main critical theories of ideology, by virtue of which ADTO organizes the assumptions that underpin the particular use it makes of the term. Finally, the discussion presents the main aspects of the connection between text and ideology, offering a conceptual framework that can contribute to the domain of the theme according to a critical discourse analysis approach.

Partition of Ni between olivine and sulfide: the effect of temperature, f_{{text{O}}_{text{2}} } and f_{{text{S}}_{text{2}} }

Science.gov (United States)

Fleet, M. E.; Macrae, N. D.

1987-03-01

The experimental distribution coefficient for Ni/ Fe exchange between olivine and monosulfide (KD3) is 35.6±1.1 at 1385° C, f_{{text{O}}_{text{2}} } = 10^{ - 8.87} ,f_{{text{S}}_{text{2}} } = 10^{ - 1.02} , and olivine of composition Fo96 to Fo92. These are the physicochemical conditions appropriate to hypothesized sulfur-saturated komatiite magma. The present experiments equilibrated natural olivine grains with sulfide-oxide liquid in the presence of a (Mg, Fe)-alumino-silicate melt. By a variety of different experimental procedures, K D3 is shown to be essentially constant at about 30 to 35 in the temperature range 900 to 1400° C, for olivine of composition Fo97 to FoO, monosulfide composition with up to 70 mol. % NiS, and a wide range of f_{{text{O}}_{text{2}} } and f_{{text{S}}_{text{2}} }.

Attitudes toward text recycling in academic writing across disciplines.

Science.gov (United States)

Hall, Susanne; Moskovitz, Cary; Pemberton, Michael A

2018-01-01

Text recycling, the reuse of material from one's own previously published writing in a new text without attribution, is a common academic writing practice that is not yet well understood. While some studies of text recycling in academic writing have been published, no previous study has focused on scholars' attitudes toward text recycling. This article presents results from a survey of over 300 journal editors and editorial board members from 86 top English-language journals in 16 different academic fields regarding text recycling in scholarly articles. Responses indicate that a large majority of academic gatekeepers believe text recycling is allowable in some circumstances; however, there is a lack of clear consensus about when text recycling is or is not appropriate. Opinions varied according to the source of the recycled material, its structural location and rhetorical purpose, and conditions of authorship conditions-as well as by the level of experience as a journal editor. Our study suggests the need for further research on text recycling utilizing focus groups and interviews.

Visualising Chord Progressions in Music Collections: A Big Data Approach

OpenAIRE

Kachkaev, A.; Wolff, D.; Barthet, M.; Tidhar, D.; Plumbley, M. D.; Dykes, J.; Weyde, T.

2014-01-01

In the Digital Music Lab project we work on the automatic analysis of large audio databases that results in rich annotations for large corpora of music. The musicological interpretation of this data from thousands of pieces is a challenging task that can benefit greatly from specifically designed interactive visualisation. Most existing big music data visualisation focuses on cultural attributes, mood, or listener behaviour.\\ud \\ud In this ongoing work we explore chord sequence patterns extract...

Text-Fabric

NARCIS (Netherlands)

Roorda, Dirk

2016-01-01

Text-Fabric is a Python3 package for Text plus Annotations. It provides a data model, a text file format, and a binary format for (ancient) text plus (linguistic) annotations. The emphasis of this all is on: data processing; sharing data; and contributing modules. A defining characteristic is that

E-text

DEFF Research Database (Denmark)

Finnemann, Niels Ole

2018-01-01

text can be defined by taking as point of departure the digital format in which everything is represented in the binary alphabet. While the notion of text, in most cases, lends itself to be independent of medium and embodiment, it is also often tacitly assumed that it is, in fact, modeled around...... the print medium, rather than written text or speech. In late 20th century, the notion of text was subject to increasing criticism as in the question raised within literary text theory: is there a text in this class? At the same time, the notion was expanded by including extra linguistic sign modalities...

Enhancing biomedical text summarization using semantic relation extraction.

Directory of Open Access Journals (Sweden)

Yue Shang

Full Text Available Automatic text summarization for a biomedical concept can help researchers to get the key points of a certain topic from large amount of biomedical literature efficiently. In this paper, we present a method for generating text summary for a given biomedical concept, e.g., H1N1 disease, from multiple documents based on semantic relation extraction. Our approach includes three stages: 1 We extract semantic relations in each sentence using the semantic knowledge representation tool SemRep. 2 We develop a relation-level retrieval method to select the relations most relevant to each query concept and visualize them in a graphic representation. 3 For relations in the relevant set, we extract informative sentences that can interpret them from the document collection to generate text summary using an information retrieval based method. Our major focus in this work is to investigate the contribution of semantic relation extraction to the task of biomedical text summarization. The experimental results on summarization for a set of diseases show that the introduction of semantic knowledge improves the performance and our results are better than the MEAD system, a well-known tool for text summarization.

Probing the topological properties of complex networks modeling short written texts.

Directory of Open Access Journals (Sweden)

Diego R Amancio

Full Text Available In recent years, graph theory has been widely employed to probe several language properties. More specifically, the so-called word adjacency model has been proven useful for tackling several practical problems, especially those relying on textual stylistic analysis. The most common approach to treat texts as networks has simply considered either large pieces of texts or entire books. This approach has certainly worked well-many informative discoveries have been made this way-but it raises an uncomfortable question: could there be important topological patterns in small pieces of texts? To address this problem, the topological properties of subtexts sampled from entire books was probed. Statistical analyses performed on a dataset comprising 50 novels revealed that most of the traditional topological measurements are stable for short subtexts. When the performance of the authorship recognition task was analyzed, it was found that a proper sampling yields a discriminability similar to the one found with full texts. Surprisingly, the support vector machine classification based on the characterization of short texts outperformed the one performed with entire books. These findings suggest that a local topological analysis of large documents might improve its global characterization. Most importantly, it was verified, as a proof of principle, that short texts can be analyzed with the methods and concepts of complex networks. As a consequence, the techniques described here can be extended in a straightforward fashion to analyze texts as time-varying complex networks.

Learning From Short Text Streams With Topic Drifts.

Science.gov (United States)

Li, Peipei; He, Lu; Wang, Haiyan; Hu, Xuegang; Zhang, Yuhong; Li, Lei; Wu, Xindong

2017-09-18

Short text streams such as search snippets and micro blogs have been popular on the Web with the emergence of social media. Unlike traditional normal text streams, these data present the characteristics of short length, weak signal, high volume, high velocity, topic drift, etc. Short text stream classification is hence a very challenging and significant task. However, this challenge has received little attention from the research community. Therefore, a new feature extension approach is proposed for short text stream classification with the help of a large-scale semantic network obtained from a Web corpus. It is built on an incremental ensemble classification model for efficiency. First, more semantic contexts based on the senses of terms in short texts are introduced to make up of the data sparsity using the open semantic network, in which all terms are disambiguated by their semantics to reduce the noise impact. Second, a concept cluster-based topic drifting detection method is proposed to effectively track hidden topic drifts. Finally, extensive studies demonstrate that as compared to several well-known concept drifting detection methods in data stream, our approach can detect topic drifts effectively, and it enables handling short text streams effectively while maintaining the efficiency as compared to several state-of-the-art short text classification approaches.

English word frequency and recognition in bilinguals: Inter-corpus comparison and error analysis.

Science.gov (United States)

Shi, Lu-Feng

2015-01-01

This study is the second of a two-part investigation on lexical effects on bilinguals' performance on a clinical English word recognition test. Focus is on word-frequency effects using counts provided by four corpora. Frequency of occurrence was obtained for 200 NU-6 words from the Hoosier mental lexicon (HML) and three contemporary corpora, American National Corpora, Hyperspace analogue to language (HAL), and SUBTLEX(US). Correlation analysis was performed between word frequency and error rate. Ten monolinguals and 30 bilinguals participated. Bilinguals were further grouped according to their age of English acquisition and length of schooling/working in English. Word frequency significantly affected word recognition in bilinguals who acquired English late and had limited schooling/working in English. When making errors, bilinguals tended to replace the target word with a word of a higher frequency. Overall, the newer corpora outperformed the HML in predicting error rate. Frequency counts provided by contemporary corpora predict bilinguals' recognition of English monosyllabic words. Word frequency also helps explain top replacement words for misrecognized targets. Word-frequency effects are especially prominent for bilinguals foreign born and educated.

Using Semantic Linking to Understand Persons’ Networks Extracted from Text

Directory of Open Access Journals (Sweden)

Alessio Palmero Aprosio

2017-11-01

Full Text Available In this work, we describe a methodology to interpret large persons’ networks extracted from text by classifying cliques using the DBpedia ontology. The approach relies on a combination of NLP, Semantic web technologies, and network analysis. The classification methodology that first starts from single nodes and then generalizes to cliques is effective in terms of performance and is able to deal also with nodes that are not linked to Wikipedia. The gold standard manually developed for evaluation shows that groups of co-occurring entities share in most of the cases a category that can be automatically assigned. This holds for both languages considered in this study. The outcome of this work may be of interest to enhance the readability of large networks and to provide an additional semantic layer on top of cliques. This would greatly help humanities scholars when dealing with large amounts of textual data that need to be interpreted or categorized. Furthermore, it represents an unsupervised approach to automatically extend DBpedia starting from a corpus.

Znaczenie dwujęzycznych korpusów w polsko‑litewskich badaniach konfrontatywnych

Directory of Open Access Journals (Sweden)

Roman Roszko

2015-07-01

Full Text Available The meaning of bilingual corpora in the Polish-Lithuanian comparative studies In his article, the author compares and contrasts the results of his own research on the hypothetical modality in Polish and Lithuanian: a carried out together with Danuta Roszko, using the traditional method (without use of bilingual corpora in the 90s; b with use of parallel Polish-Lithuanian corpora resources. As for the contrast of the two methods, special attention has been drawn to the lexical exponents singled out. The use of the corpora resources resulted in the fact that the number of exponents of hipothetical modality singled out in the two languages has slightly risen. Moreover, the borders between the corresponding groups of exponents have become more distinct and obvious. There has been confirmed a possibility of using the corresponding groups of exponents to express the meanings of the adjacent groups. The conclusion has been drawn that this phenomenon is as obvious now as it was earlier expected (in studies without use of bilingual corpora. The separate analysis of corpora resources with the division into the material being a mutual Polish-Lithuanian translations (i.e. from Polish into Lithuanian and vice versa and b translations into Polish and Lithuanian from third languages (here: from German, English or Russian does not significantly influence the number and diversity of the lexical exponents applied in the two languages. This fact proves a high competence of the translators. The formal resemblance of some of the Polish and Lithuanian exponents does not have a significant influence on which form to choose in the target language. In the translations from Polish into Lithuanian, part of the lexical exponents are conveyed with morphological exponents (lack of such in Polish. The hypothetical modality understated in Polish is sometimes clarified in translations into Lithuanian with the help of morphological forms. In some translations from Lithuanian

Critical reading of a text through its electronic supplement

Directory of Open Access Journals (Sweden)

Kieran O’Halloran

2010-10-01

Full Text Available A by-product of new social media platforms is an abundant textual record of engagements – billions of words across the world-wide-web in, for example, discussion forums, blogs and wiki discussion tabs. Many of these engagements consist of commentary on a particular text and can thus be regarded as supplements to these texts. The larger purpose of this article is to flag the utility value of this electronic supplementarity for critical reading by highlighting how it can reveal particular meanings that the text being responded to can reasonably be said to marginalise and / or repress. Given the potentially very large size of social media textual product, knowing how to explore these supplements with electronic text analysis software is essential. To illustrate the above, I focus on how the content of online discussion forums, explored through electronic text analysis software, can be used to assist critical reading of the texts which initiate them. The paper takes its theoretical orientations from the textual intervention work of Rob Pope together with themes in the work of the philosopher, Jacques Derrida.

Monitoring interaction and collective text production through text mining

Directory of Open Access Journals (Sweden)

Macedo, Alexandra Lorandi

2014-04-01

Full Text Available This article presents the Concepts Network tool, developed using text mining technology. The main objective of this tool is to extract and relate terms of greatest incidence from a text and exhibit the results in the form of a graph. The Network was implemented in the Collective Text Editor (CTE which is an online tool that allows the production of texts in synchronized or non-synchronized forms. This article describes the application of the Network both in texts produced collectively and texts produced in a forum. The purpose of the tool is to offer support to the teacher in managing the high volume of data generated in the process of interaction amongst students and in the construction of the text. Specifically, the aim is to facilitate the teacher’s job by allowing him/her to process data in a shorter time than is currently demanded. The results suggest that the Concepts Network can aid the teacher, as it provides indicators of the quality of the text produced. Moreover, messages posted in forums can be analyzed without their content necessarily having to be pre-read.

Using Digital Archives in Quantitative Discourse Studies: Methodological Reflections

Directory of Open Access Journals (Sweden)

Kobie Van Krieken

2015-12-01

Full Text Available This methodological essay discusses the possibilities of using digital archives in quantitative discourse studies. I illustrate these possibilities by discussing a study in which the digital archive Delpher was used to build a relatively large corpus of newspaper narratives (N=300 in order to test hypotheses about the historical development of linguistic features associated with objective and subjective reporting. The large amount of data collected in digital archives like Delpher facilitates the construction of corpora for such hypothesis-driven studies. However, the collection of newspaper articles on Delpher in fact constitutes only a small, non-random and continuously changing selection of all available data. Due to these characteristics, the use of Delpher jeopardizes two core values of quantitative empirical research: the generalizability and the replicability of findings. Although these issues cannot be easily overcome, I argue that digital archives have the potential to broaden the methodological scope of discourse studies and increase the overall significance of the field.

Production of [Formula: see text] and [Formula: see text] mesons up to high transverse momentum in pp collisions at 2.76 TeV.

Science.gov (United States)

Acharya, S; Adamová, D; Aggarwal, M M; Rinella, G Aglieri; Agnello, M; Agrawal, N; Ahammed, Z; Ahmad, N; Ahn, S U; Aiola, S; Akindinov, A; Alam, S N; Albuquerque, D S D; Aleksandrov, D; Alessandro, B; Alexandre, D; Molina, R Alfaro; Alici, A; Alkin, A; Alme, J; Alt, T; Altsybeev, I; Prado, C Alves Garcia; An, M; Andrei, C; Andrews, H A; Andronic, A; Anguelov, V; Anson, C; Antičić, T; Antinori, F; Antonioli, P; Anwar, R; Aphecetche, L; Appelshäuser, H; Arcelli, S; Arnaldi, R; Arnold, O W; Arsene, I C; Arslandok, M; Audurier, B; Augustinus, A; Averbeck, R; Awes, T; Azmi, M D; Badalà, A; Baek, Y W; Bagnasco, S; Bailhache, R; Bala, R; Baldisseri, A; Ball, M; Baral, R C; Barbano, A M; Barbera, R; Barile, F; Barioglio, L; Barnaföldi, G G; Barnby, L S; Barret, V; Bartalini, P; Barth, K; Bartke, J; Bartsch, E; Basile, M; Bastid, N; Basu, S; Bathen, B; Batigne, G; Camejo, A Batista; Batyunya, B; Batzing, P C; Bearden, I G; Beck, H; Bedda, C; Behera, N K; Belikov, I; Bellini, F; Martinez, H Bello; Bellwied, R; Beltran, L G E; Belyaev, V; Bencedi, G; Beole, S; Bercuci, A; Berdnikov, Y; Berenyi, D; Bertens, R A; Berzano, D; Betev, L; Bhasin, A; Bhat, I R; Bhati, A K; Bhattacharjee, B; Bhom, J; Bianchi, L; Bianchi, N; Bianchin, C; Bielčík, J; Bielčíková, J; Bilandzic, A; Biro, G; Biswas, R; Biswas, S; Blair, J T; Blau, D; Blume, C; Boca, G; Bock, F; Bogdanov, A; Boldizsár, L; Bombara, M; Bonomi, G; Bonora, M; Book, J; Borel, H; Borissov, A; Borri, M; Botta, E; Bourjau, C; Braun-Munzinger, P; Bregant, M; Broker, T A; Browning, T A; Broz, M; Brucken, E J; Bruna, E; Bruno, G E; Budnikov, D; Buesching, H; Bufalino, S; Buhler, P; Buitron, S A I; Buncic, P; Busch, O; Buthelezi, Z; Butt, J B; Buxton, J T; Cabala, J; Caffarri, D; Caines, H; Caliva, A; Villar, E Calvo; Camerini, P; Capon, A A; Carena, F; Carena, W; Carnesecchi, F; Castellanos, J Castillo; Castro, A J; Casula, E A R; Sanchez, C Ceballos; Cerello, P; Chang, B; Chapeland, S; Chartier, M; Charvet, J L; Chattopadhyay, S; Chattopadhyay, S; Chauvin, A; Cherney, M; Cheshkov, C; Cheynis, B; Barroso, V Chibante; Chinellato, D D; Cho, S; Chochula, P; Choi, K; Chojnacki, M; Choudhury, S; Christakoglou, P; Christensen, C H; Christiansen, P; Chujo, T; Chung, S U; Cicalo, C; Cifarelli, L; Cindolo, F; Cleymans, J; Colamaria, F; Colella, D; Collu, A; Colocci, M; Concas, M; Balbastre, G Conesa; Valle, Z Conesa Del; Connors, M E; Contreras, J G; Cormier, T M; Morales, Y Corrales; Maldonado, I Cortés; Cortese, P; Cosentino, M R; Costa, F; Costanza, S; Crkovská, J; Crochet, P; Cuautle, E; Cunqueiro, L; Dahms, T; Dainese, A; Danisch, M C; Danu, A; Das, D; Das, I; Das, S; Dash, A; Dash, S; De, S; De Caro, A; de Cataldo, G; de Conti, C; de Cuveland, J; De Falco, A; De Gruttola, D; De Marco, N; De Pasquale, S; De Souza, R D; Degenhardt, H F; Deisting, A; Deloff, A; Deplano, C; Dhankher, P; Di Bari, D; Di Mauro, A; Di Nezza, P; Di Ruzza, B; Corchero, M A Diaz; Dietel, T; Dillenseger, P; Divià, R; Djuvsland, Ø; Dobrin, A; Gimenez, D Domenicis; Dönigus, B; Dordic, O; Drozhzhova, T; Dubey, A K; Dubla, A; Ducroux, L; Duggal, A K; Dupieux, P; Ehlers, R J; Elia, D; Endress, E; Engel, H; Epple, E; Erazmus, B; Erhardt, F; Espagnon, B; Esumi, S; Eulisse, G; Eum, J; Evans, D; Evdokimov, S; Fabbietti, L; Faivre, J; Fantoni, A; Fasel, M; Feldkamp, L; Feliciello, A; Feofilov, G; Ferencei, J; Téllez, A Fernández; Ferreiro, E G; Ferretti, A; Festanti, A; Feuillard, V J G; Figiel, J; Figueredo, M A S; Filchagin, S; Finogeev, D; Fionda, F M; Fiore, E M; Floris, M; Foertsch, S; Foka, P; Fokin, S; Fragiacomo, E; Francescon, A; Francisco, A; Frankenfeld, U; Fronze, G G; Fuchs, U; Furget, C; Furs, A; Girard, M Fusco; Gaardhøje, J J; Gagliardi, M; Gago, A M; Gajdosova, K; Gallio, M; Galvan, C D; Ganoti, P; Gao, C; Garabatos, C; Garcia-Solis, E; Garg, K; Garg, P; Gargiulo, C; Gasik, P; Gauger, E F; Ducati, M B Gay; Germain, M; Ghosh, P; Ghosh, S K; Gianotti, P; Giubellino, P; Giubilato, P; Gladysz-Dziadus, E; Glässel, P; Coral, D M Goméz; Ramirez, A Gomez; Gonzalez, A S; Gonzalez, V; González-Zamora, P; Gorbunov, S; Görlich, L; Gotovac, S; Grabski, V; Graczykowski, L K; Graham, K L; Greiner, L; Grelli, A; Grigoras, C; Grigoriev, V; Grigoryan, A; Grigoryan, S; Grion, N; Gronefeld, J M; Grosa, F; Grosse-Oetringhaus, J F; Grosso, R; Gruber, L; Grull, F R; Guber, F; Guernane, R; Guerzoni, B; Gulbrandsen, K; Gunji, T; Gupta, A; Gupta, R; Guzman, I B; Haake, R; Hadjidakis, C; Hamagaki, H; Hamar, G; Hamon, J C; Harris, J W; Harton, A; Hatzifotiadou, D; Hayashi, S; Heckel, S T; Hellbär, E; Helstrup, H; Herghelegiu, A; Corral, G Herrera; Herrmann, F; Hess, B A; Hetland, K F; Hillemanns, H; Hippolyte, B; Hladky, J; Hohlweger, B; Horak, D; Hornung, S; Hosokawa, R; Hristov, P; Hughes, C; Humanic, T J; Hussain, N; Hussain, T; Hutter, D; Hwang, D S; Ilkaev, R; Inaba, M; Ippolitov, M; Irfan, M; Isakov, V; Ivanov, M; Ivanov, V; Izucheev, V; Jacak, B; Jacazio, N; Jacobs, P M; Jadhav, M B; Jadlovska, S; Jadlovsky, J; Jaelani, S; Jahnke, C; Jakubowska, M J; Janik, M A; Jayarathna, P H S Y; Jena, C; Jena, S; Jercic, M; Bustamante, R T Jimenez; Jones, P G; Jusko, A; Kalinak, P; Kalweit, A; Kamin, J; Kang, J H; Kaplin, V; Kar, S; Uysal, A Karasu; Karavichev, O; Karavicheva, T; Karayan, L; Karpechev, E; Kebschull, U; Keidel, R; Keijdener, D L D; Keil, M; Ketzer, B; Khan, P; Khan, S A; Khanzadeev, A; Kharlov, Y; Khatun, A; Khuntia, A; Kielbowicz, M M; Kileng, B; Kim, D; Kim, D W; Kim, D J; Kim, H; Kim, J S; Kim, J; Kim, M; Kim, M; Kim, S; Kim, T; Kirsch, S; Kisel, I; Kiselev, S; Kisiel, A; Kiss, G; Klay, J L; Klein, C; Klein, J; Klein-Bösing, C; Klewin, S; Kluge, A; Knichel, M L; Knospe, A G; Kobdaj, C; Kofarago, M; Kollegger, T; Kolojvari, A; Kondratiev, V; Kondratyeva, N; Kondratyuk, E; Konevskikh, A; Kopcik, M; Kour, M; Kouzinopoulos, C; Kovalenko, O; Kovalenko, V; Kowalski, M; Meethaleveedu, G Koyithatta; Králik, I; Kravčáková, A; Krivda, M; Krizek, F; Kryshen, E; Krzewicki, M; Kubera, A M; Kučera, V; Kuhn, C; Kuijer, P G; Kumar, A; Kumar, J; Kumar, L; Kumar, S; Kundu, S; Kurashvili, P; Kurepin, A; Kurepin, A B; Kuryakin, A; Kushpil, S; Kweon, M J; Kwon, Y; La Pointe, S L; La Rocca, P; Fernandes, C Lagana; Lakomov, I; Langoy, R; Lapidus, K; Lara, C; Lardeux, A; Lattuca, A; Laudi, E; Lavicka, R; Lazaridis, L; Lea, R; Leardini, L; Lee, S; Lehas, F; Lehner, S; Lehrbach, J; Lemmon, R C; Lenti, V; Leogrande, E; Monzón, I León; Lévai, P; Li, S; Li, X; Lien, J; Lietava, R; Lindal, S; Lindenstruth, V; Lippmann, C; Lisa, M A; Litichevskyi, V; Ljunggren, H M; Llope, W J; Lodato, D F; Loenne, P I; Loginov, V; Loizides, C; Loncar, P; Lopez, X; Torres, E López; Lowe, A; Luettig, P; Lunardon, M; Luparello, G; Lupi, M; Lutz, T H; Maevskaya, A; Mager, M; Mahajan, S; Mahmood, S M; Maire, A; Majka, R D; Malaev, M; Cervantes, I Maldonado; Malinina, L; Mal'Kevich, D; Malzacher, P; Mamonov, A; Manko, V; Manso, F; Manzari, V; Mao, Y; Marchisone, M; Mareš, J; Margagliotti, G V; Margotti, A; Margutti, J; Marín, A; Markert, C; Marquard, M; Martin, N A; Martinengo, P; Martinez, J A L; Martínez, M I; García, G Martínez; Pedreira, M Martinez; Mas, A; Masciocchi, S; Masera, M; Masoni, A; Mastroserio, A; Mathis, A M; Matyja, A; Mayer, C; Mazer, J; Mazzilli, M; Mazzoni, M A; Meddi, F; Melikyan, Y; Menchaca-Rocha, A; Meninno, E; Pérez, J Mercado; Meres, M; Mhlanga, S; Miake, Y; Mieskolainen, M M; Mihaylov, D L; Mikhaylov, K; Milano, L; Milosevic, J; Mischke, A; Mishra, A N; Miśkowiec, D; Mitra, J; Mitu, C M; Mohammadi, N; Mohanty, B; Khan, M Mohisin; Montes, E; De Godoy, D A Moreira; Moreno, L A P; Moretto, S; Morreale, A; Morsch, A; Muccifora, V; Mudnic, E; Mühlheim, D; Muhuri, S; Mukherjee, M; Mulligan, J D; Munhoz, M G; Münning, K; Munzer, R H; Murakami, H; Murray, S; Musa, L; Musinsky, J; Myers, C J; Naik, B; Nair, R; Nandi, B K; Nania, R; Nappi, E; Narayan, A; Naru, M U; da Luz, H Natal; Nattrass, C; Navarro, S R; Nayak, K; Nayak, R; Nayak, T K; Nazarenko, S; Nedosekin, A; De Oliveira, R A Negrao; Nellen, L; Nesbo, S V; Ng, F; Nicassio, M; Niculescu, M; Niedziela, J; Nielsen, B S; Nikolaev, S; Nikulin, S; Nikulin, V; Noferini, F; Nomokonov, P; Nooren, G; Noris, J C C; Norman, J; Nyanin, A; Nystrand, J; Oeschler, H; Oh, S; Ohlson, A; Okubo, T; Olah, L; Oleniacz, J; Da Silva, A C Oliveira; Oliver, M H; Onderwaater, J; Oppedisano, C; Orava, R; Oravec, M; Velasquez, A Ortiz; Oskarsson, A; Otwinowski, J; Oyama, K; Pachmayer, Y; Pacik, V; Pagano, D; Pagano, P; Paić, G; Palni, P; Pan, J; Pandey, A K; Panebianco, S; Papikyan, V; Pappalardo, G S; Pareek, P; Park, J; Park, W J; Parmar, S; Passfeld, A; Pathak, S P; Paticchio, V; Patra, R N; Paul, B; Pei, H; Peitzmann, T; Peng, X; Pereira, L G; Da Costa, H Pereira; Peresunko, D; Lezama, E Perez; Peskov, V; Pestov, Y; Petráček, V; Petrov, V; Petrovici, M; Petta, C; Pezzi, R P; Piano, S; Pikna, M; Pillot, P; Pimentel, L O D L; Pinazza, O; Pinsky, L; Piyarathna, D B; Oskoń, M Pł; Planinic, M; Pluta, J; Pochybova, S; Podesta-Lerma, P L M; Poghosyan, M G; Polichtchouk, B; Poljak, N; Poonsawat, W; 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2017-01-01

The invariant differential cross sections for inclusive [Formula: see text] and [Formula: see text] mesons at midrapidity were measured in pp collisions at [Formula: see text] TeV for transverse momenta [Formula: see text] GeV/ c and [Formula: see text] GeV/ c , respectively, using the ALICE detector. This large range in [Formula: see text] was achieved by combining various analysis techniques and different triggers involving the electromagnetic calorimeter (EMCal). In particular, a new single-cluster, shower-shape based method was developed for the identification of high-[Formula: see text] neutral pions, which exploits that the showers originating from their decay photons overlap in the EMCal. Above 4 GeV/[Formula: see text], the measured cross sections are found to exhibit a similar power-law behavior with an exponent of about 6.3. Next-to-leading-order perturbative QCD calculations differ from the measured cross sections by about 30% for the [Formula: see text], and between 30-50% for the [Formula: see text] meson, while generator-level simulations with PYTHIA 8.2 describe the data to better than 10-30%, except at [Formula: see text] GeV/[Formula: see text]. The new data can therefore be used to further improve the theoretical description of [Formula: see text] and [Formula: see text] meson production.

Reconstructing Readability: Recent Developments and Recommendations in the Analysis of Text Difficulty

Science.gov (United States)

Benjamin, Rebekah George

2012-01-01

Largely due to technological advances, methods for analyzing readability have increased significantly in recent years. While past researchers designed hundreds of formulas to estimate the difficulty of texts for readers, controversy has surrounded their use for decades, with criticism stemming largely from their application in creating new texts…

Teaching Text Structure: Examining the Affordances of Children's Informational Texts

Science.gov (United States)

Jones, Cindy D.; Clark, Sarah K.; Reutzel, D. Ray

2016-01-01

This study investigated the affordances of informational texts to serve as model texts for teaching text structure to elementary school children. Content analysis of a random sampling of children's informational texts from top publishers was conducted on text structure organization and on the inclusion of text features as signals of text…

Text Analysis: Critical Component of Planning for Text-Based Discussion Focused on Comprehension of Informational Texts

Science.gov (United States)

Kucan, Linda; Palincsar, Annemarie Sullivan

2018-01-01

This investigation focuses on a tool used in a reading methods course to introduce reading specialist candidates to text analysis as a critical component of planning for text-based discussions. Unlike planning that focuses mainly on important text content or information, a text analysis approach focuses both on content and how that content is…

Text Maps: Helping Students Navigate Informational Texts.

Science.gov (United States)

Spencer, Brenda H.

2003-01-01

Notes that a text map is an instructional approach designed to help students gain fluency in reading content area materials. Discusses how the goal is to teach students about the important features of the material and how the maps can be used to build new understandings. Presents the procedures for preparing and using a text map. (SG)

Language-agnostic processing of microblog data with text embeddings

NARCIS (Netherlands)

Chrupala, Grzegorz

2014-01-01

A raw stream of posts from a microblogging platform such as Twitter contains text written in a large variety of languages and writing systems, in registers ranging from formal to internet slang. A significant amount has been expended in recent years to adapt standard NLP processing pipelines to be

Arabic Text Categorization Using Improved k-Nearest neighbour Algorithm

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Wail Hamood KHALED

2014-10-01

Full Text Available The quantity of text information published in Arabic language on the net requires the implementation of effective techniques for the extraction and classifying of relevant information contained in large corpus of texts. In this paper we presented an implementation of an enhanced k-NN Arabic text classifier. We apply the traditional k-NN and Naive Bayes from Weka Toolkit for comparison purpose. Our proposed modified k-NN algorithm features an improved decision rule to skip the classes that are less similar and identify the right class from k nearest neighbours which increases the accuracy. The study evaluates the improved decision rule technique using the standard of recall, precision and f-measure as the basis of comparison. We concluded that the effectiveness of the proposed classifier is promising and outperforms the classical k-NN classifier.

Birgit Steinbügl: Deutsch-englische Kollokationen: Erfassung in zweisprachigen Wörterbüchern und Grenzen der korpusbasierten Analyse

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Maria Smit

2011-10-01

Full Text Available This study investigates the role of collocations in dictionary use, and the extent to which users' needs are taken into account in the process of dictionary writing. Steinbügl decided to concentrate on bilingual dictionaries, because this type of dictionary is relatively less well explored in metalexicographical literature. German-English examples are analysed and evaluated. Instead of selecting examples randomly, she uses a comparative corpus of 200 collocations she put together herself in accordance with scientific reasons explained in detail. She questions the selection of collocations from existing corpora for her purposes, because these corpora are based on competing collocational theories. In order to come to meaningful conclusions, she prefers to delineate her own research approach, also however investigating the structures of bilingual dictionaries and dictionary articles, as well as situations of dictionary use.

Lingüística de Corpus: histórico e problemática

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SARDINHA Tony Berber

2000-01-01

Full Text Available O presente trabalho oferece uma retrospectiva da Lingüística de Corpus, uma área de pesquisa que tem experimentado um crescimento vertiginoso nos últimos anos e que tem tido um impacto considerável na lingüística. A retrospectiva inclui tanto um painel histórico quanto um posicionamento em relação aos debates correntes e desenvolvimentos futuros da área. Os conceitos principais em voga na área são apresentados e discutidos. O trabalho ainda comenta os fatos mais marcantes na Lingüística de Corpus em relação à teoria e à prática, elencando os principais corpora em existência bem como as mais importantes contribuições no campo de programas de computador para análise e exploração desses corpora.

GATECloud.net: a platform for large-scale, open-source text processing on the cloud.

Science.gov (United States)

Tablan, Valentin; Roberts, Ian; Cunningham, Hamish; Bontcheva, Kalina

2013-01-28

Cloud computing is increasingly being regarded as a key enabler of the 'democratization of science', because on-demand, highly scalable cloud computing facilities enable researchers anywhere to carry out data-intensive experiments. In the context of natural language processing (NLP), algorithms tend to be complex, which makes their parallelization and deployment on cloud platforms a non-trivial task. This study presents a new, unique, cloud-based platform for large-scale NLP research--GATECloud. net. It enables researchers to carry out data-intensive NLP experiments by harnessing the vast, on-demand compute power of the Amazon cloud. Important infrastructural issues are dealt with by the platform, completely transparently for the researcher: load balancing, efficient data upload and storage, deployment on the virtual machines, security and fault tolerance. We also include a cost-benefit analysis and usage evaluation.

The Only Safe SMS Texting Is No SMS Texting.

Science.gov (United States)

Toth, Cheryl; Sacopulos, Michael J

2015-01-01

Many physicians and practice staff use short messaging service (SMS) text messaging to communicate with patients. But SMS text messaging is unencrypted, insecure, and does not meet HIPAA requirements. In addition, the short and abbreviated nature of text messages creates opportunities for misinterpretation, and can negatively impact patient safety and care. Until recently, asking patients to sign a statement that they understand and accept these risks--as well as having policies, device encryption, and cyber insurance in place--would have been enough to mitigate the risk of using SMS text in a medical practice. But new trends and policies have made SMS text messaging unsafe under any circumstance. This article explains these trends and policies, as well as why only secure texting or secure messaging should be used for physician-patient communication.

Towards the Lexicographic Description of the Grammatical Behaviour of Japanese Loanwords: A Case Study

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Toshinobu MOGI

2012-10-01

Full Text Available The present papers offers a case study of a Japanese loanword verb, with the aim of contributing to corpus-based research on Japanese loanwords and of providing a foundation for the compilation of a dictionary of grammatical patterns of loanwords for learners of Japanese as a foreign language. The case study presents an analysis of actual usage of loanword suru-verbs in the large-scale Balanced Corpus of Contemporary Written Japanese, which is followed by a detailed analysis of all examples of the polysemous verb katto-suru. It is thereby shown how corpora can help in describing loanwords by matching a word’s meaning with its patterns of usage, and how such a description can be useful to learners of Japanese as a foreign language.

Mining free-text medical records for companion animal enteric syndrome surveillance.

Science.gov (United States)

Anholt, R M; Berezowski, J; Jamal, I; Ribble, C; Stephen, C

2014-03-01

Large amounts of animal health care data are present in veterinary electronic medical records (EMR) and they present an opportunity for companion animal disease surveillance. Veterinary patient records are largely in free-text without clinical coding or fixed vocabulary. Text-mining, a computer and information technology application, is needed to identify cases of interest and to add structure to the otherwise unstructured data. In this study EMR's were extracted from veterinary management programs of 12 participating veterinary practices and stored in a data warehouse. Using commercially available text-mining software (WordStat™), we developed a categorization dictionary that could be used to automatically classify and extract enteric syndrome cases from the warehoused electronic medical records. The diagnostic accuracy of the text-miner for retrieving cases of enteric syndrome was measured against human reviewers who independently categorized a random sample of 2500 cases as enteric syndrome positive or negative. Compared to the reviewers, the text-miner retrieved cases with enteric signs with a sensitivity of 87.6% (95%CI, 80.4-92.9%) and a specificity of 99.3% (95%CI, 98.9-99.6%). Automatic and accurate detection of enteric syndrome cases provides an opportunity for community surveillance of enteric pathogens in companion animals. Copyright © 2014 Elsevier B.V. All rights reserved.

Legal terms in general dictionaries of English: The civil procedure mystery

DEFF Research Database (Denmark)

Nielsen, Sandro

2015-01-01

examines four general dictionaries of English to see how they treat civil procedure terms used in England and Wales in the light of the change of structure of and terminology used in civil proceedings that took place in 1999. Despite being based on large, up-to-date corpora the dictionaries contain some......Many general language dictionaries contain specialized terms, including legal terms relating to civil lawsuits. The existing literature provides general discussions of scientific and technical terms in ordinary dictionaries but does not specifically address the inclusion of legal terms. This study...... of the old terms but fail to include the new terms that have been in use for more than 15 years. Why this is the case is a mystery. However, some clues indicate that if they pay more attention to the link between dictionary functions, corpora and the data presented in dictionaries, lexicographers may be able...

Enhancing biomedical text summarization using semantic relation extraction.

Science.gov (United States)

Shang, Yue; Li, Yanpeng; Lin, Hongfei; Yang, Zhihao

2011-01-01

Automatic text summarization for a biomedical concept can help researchers to get the key points of a certain topic from large amount of biomedical literature efficiently. In this paper, we present a method for generating text summary for a given biomedical concept, e.g., H1N1 disease, from multiple documents based on semantic relation extraction. Our approach includes three stages: 1) We extract semantic relations in each sentence using the semantic knowledge representation tool SemRep. 2) We develop a relation-level retrieval method to select the relations most relevant to each query concept and visualize them in a graphic representation. 3) For relations in the relevant set, we extract informative sentences that can interpret them from the document collection to generate text summary using an information retrieval based method. Our major focus in this work is to investigate the contribution of semantic relation extraction to the task of biomedical text summarization. The experimental results on summarization for a set of diseases show that the introduction of semantic knowledge improves the performance and our results are better than the MEAD system, a well-known tool for text summarization.

Collecting and evaluating speech recognition corpora for nine Southern Bantu languages

CSIR Research Space (South Africa)

Badenhorst, JAC

2009-03-01

Full Text Available The authors describes the Lwazi corpus for automatic speech recognition (ASR), a new telephone speech corpus which includes data from nine Southern Bantu languages. Because of practical constraints, the amount of speech per language is relatively...

Interacting on and around Large Displays

DEFF Research Database (Denmark)

Markussen, Anders

version of the keyboard even showed text entry rates of 28.1 WPM on the first session of an accelerated learning study where a limited set of phrases were repeatedly transcribed. Paper 3 build on the result from Paper 1 and Paper 2, and propose new directions for text entry research for large displays......, the focus of this thesis is on three aspects of large display interactions: (1) Improved Mid-Air Text Entry; (2) Improved Understanding of Input Modalities; and (3) Extended Boundaries of Interaction. To improve support for mid-air text entry, Paper 1 conducted a design space analysis, and three mid......-air text entry methods were evaluated to establish a baseline for mid-air text entry performance. The most promising technique, Projected QWERTY, reached a text entry rate of 13.2 Words Per Minute (WPM). Paper 2 aimed to improve mid-air text entry rates by adapting Word- Gesture Keyboards (WGKs...

Short message service (SMS) texting as a method of communication during on call: prevalence and experience of medical staff in a large acute NHS Trust in the UK.

Science.gov (United States)

Matharu, J; Hale, B; Ammar, M; Brennan, P A

2016-10-01

With the widespread use of smartphones, text messaging has become an accepted form of communication for both social and professional use in medicine. To our knowledge no published studies have assessed the prevalence and use of short message service (SMS) texting by doctors on call. We have used an online questionnaire to seek information from doctors in a large NHS Trust in the UK about their use of texting while on call, what they use it for, and whether they send images relevant to patients' care. We received 302 responses (43% response rate), of whom 166 (55%) used SMS while on call. There was a significant association between SMS and age group (p=0.005), with the 20-30-year-old group using it much more than the other age groups. Doctors in the surgical specialties used it significantly less than those in other speciality groups (pcall was deemed to be safe and reliable (pcommunication to use when on call. Copyright © 2016 The British Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.

Modal Auxiliary Verbs in Prescribed Malaysian English Textbooks

Science.gov (United States)

Mukundan, Jayakaran; Khojasteh, Laleh

2011-01-01

The use of corpus-based findings in order to inform L2 teaching materials have been emphasized by many researchers owing to the fact that the studies of authentic texts have revealed some inconsistencies between the use of grammatical structures in corpora, and those found in language textbooks that are based purely on hunch. Therefore, by…

Resource Lean and Portable Automatic Text Summarization

OpenAIRE

Hassel, Martin

2007-01-01

Today, with digitally stored information available in abundance, even for many minor languages, this information must by some means be filtered and extracted in order to avoid drowning in it. Automatic summarization is one such technique, where a computer summarizes a longer text to a shorter non-rendundant form. Apart from the major languages of the world there are a lot of languages for which large bodies of data aimed at language technology research to a high degree are lacking. There migh...

Text Mining.

Science.gov (United States)

Trybula, Walter J.

1999-01-01

Reviews the state of research in text mining, focusing on newer developments. The intent is to describe the disparate investigations currently included under the term text mining and provide a cohesive structure for these efforts. A summary of research identifies key organizations responsible for pushing the development of text mining. A section…

Does the Arrangement of Embedded Text versus Linked Text in Homework Systems Make a Difference in Students Impressions, Attitudes, and Perceived Learning?

Science.gov (United States)

Zumalt, Caitlin J.; Williamson, Vickie M.

2016-01-01

Students in a first-semester general chemistry course at a large southwestern university completed a 3-week homework assignment using MindTap, a Cengage Learning product. MindTap is the first major electronic system that has homework questions embedded in the text, such that students read a short section of the textbook and then answer a question…

Production of [Formula: see text] and [Formula: see text] in p-Pb collisions at [Formula: see text] TeV.

Science.gov (United States)

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Vinogradov, A; Vinogradov, L; Virgili, T; Vislavicius, V; Vodopyanov, A; Völkl, M A; Voloshin, K; Voloshin, S A; Volpe, G; von Haller, B; Vorobyev, I; Voscek, D; Vranic, D; Vrláková, J; Wagner, B; Wagner, J; Wang, H; Wang, M; Watanabe, D; Watanabe, Y; Weber, M; Weber, S G; Weiser, D F; Wessels, J P; Westerhoff, U; Whitehead, A M; Wiechula, J; Wikne, J; Wilk, G; Wilkinson, J; Willems, G A; Williams, M C S; Windelband, B; Witt, W E; Yalcin, S; Yang, P; Yano, S; Yin, Z; Yokoyama, H; Yoo, I-K; Yoon, J H; Yurchenko, V; Zaccolo, V; Zaman, A; Zampolli, C; Zanoli, H J C; Zaporozhets, S; Zardoshti, N; Zarochentsev, A; Závada, P; Zaviyalov, N; Zbroszczyk, H; Zhalov, M; Zhang, H; Zhang, X; Zhang, Y; Zhang, C; Zhang, Z; Zhao, C; Zhigareva, N; Zhou, D; Zhou, Y; Zhou, Z; Zhu, H; Zhu, J; Zhu, X; Zichichi, A; Zimmermann, A; Zimmermann, M B; Zimmermann, S; Zinovjev, G; Zmeskal, J

2017-01-01

The transverse momentum distributions of the strange and double-strange hyperon resonances ([Formula: see text], [Formula: see text]) produced in p-Pb collisions at [Formula: see text] TeV were measured in the rapidity range [Formula: see text] for event classes corresponding to different charged-particle multiplicity densities, [Formula: see text]d[Formula: see text]/d[Formula: see text]. The mean transverse momentum values are presented as a function of [Formula: see text]d[Formula: see text]/d[Formula: see text], as well as a function of the particle masses and compared with previous results on hyperon production. The integrated yield ratios of excited to ground-state hyperons are constant as a function of [Formula: see text]d[Formula: see text]/d[Formula: see text]. The equivalent ratios to pions exhibit an increase with [Formula: see text]d[Formula: see text]/d[Formula: see text], depending on their strangeness content.

The reduction corporoplasty: the answer to the improbable urologic question "can you make my penis smaller?".

Science.gov (United States)

Martinez, Daniel R; Manimala, Neil J; Rafiei, Arash; Hakky, Tariq S; Yang, Chris; Carrion, Rafael

2015-03-01

Aneurysmal dilatation of the corpora cavernosa can occur because of recurrent priapism in the setting of sickle cell disease. We present the first case of a successful implementation of the reduction corporoplasty technique for treatment of a phallus that was "too large for intercourse." We describe the presentation of a 17-year-old male with a history of sickle cell disease with a phallus "too large for intercourse." Patient reported normal erectile function and response with masturbation but also reported inability to penetrate his partner due to the enlarged and disfigured morphology. He had three priapismic episodes since the age of 10 that progressively led to an aneurysmal morphologic deformity of his phallus. Evaluation included a magnetic resonance imaging, which revealed true aneurysmal dilatation of bilateral corpora cavernosa in the middle and distal portions, and diffusely hyperplastic tunica. The main outcome measure is the successful management of phallic disfiguration. Reduction corporoplasty was performed, and the patient reported intact erectile function without aneurysmal recurrence. Patients with significant corporal aneurysmal defects secondary to recurrent priapism can be successfully managed with reduction corporoplasty. © 2014 International Society for Sexual Medicine.

The nuclear modification of charged particles in Pb-Pb at $\\sqrt{\\text{s}_\\text{NN}} = \\text{5.02}\\,\\text{TeV}$ measured with ALICE

CERN Document Server

Gronefeld, Julius

2016-09-21

The study of inclusive charged-particle production in heavy-ion collisions provides insights into the density of the medium and the energy-loss mechanisms. The observed suppression of high-$\\textit{p}_\\text{T}$ yield is generally attributed to energy loss of partons as they propagate through a deconfined state of quarks and gluons - Quark-Gluon Plasma (QGP) - predicted by QCD. Such measurements allow the characterization of the QGP by comparison with models. In these proceedings, results on high-$\\textit{p}_\\text{T}$ particle production measured by ALICE in Pb-Pb collisions at $ \\sqrt{\\text{s}_\\text{NN}}\\, = 5.02\\ \\rm{TeV}$ as well as well in pp at $\\sqrt{\\text{s}}\\,=5.02\\ \\rm{TeV}$ are presented for the first time. The nuclear modification factors ($\\text{R}_\\text{AA}$) in Pb-Pb collisions are presented and compared with model calculations.

Observation of [Formula: see text] and [Formula: see text] decays.

Science.gov (United States)

Aaij, R; Adeva, B; Adinolfi, M; Ajaltouni, Z; Akar, S; Albrecht, J; Alessio, F; Alexander, M; Ali, S; Alkhazov, G; Alvarez Cartelle, P; Alves, A A; Amato, S; Amerio, S; Amhis, Y; An, L; Anderlini, L; Andreassi, G; Andreotti, M; Andrews, J E; Appleby, R B; Archilli, F; d'Argent, P; Arnau Romeu, J; Artamonov, A; Artuso, M; Aslanides, E; Auriemma, G; Baalouch, M; Babuschkin, I; Bachmann, S; Back, J J; Badalov, A; Baesso, C; Baker, S; Baldini, W; Barlow, R J; Barschel, C; Barsuk, S; Barter, W; Baszczyk, M; Batozskaya, V; Batsukh, B; Battista, V; Bay, A; Beaucourt, L; Beddow, J; Bedeschi, F; Bediaga, I; Bel, L J; Bellee, V; Belloli, N; Belous, K; Belyaev, I; Ben-Haim, E; Bencivenni, G; Benson, S; Benton, J; Berezhnoy, A; Bernet, R; Bertolin, A; Betancourt, C; Betti, F; Bettler, M-O; van Beuzekom, M; Bezshyiko, Ia; Bifani, S; Billoir, P; Bird, T; Birnkraut, A; Bitadze, A; Bizzeti, A; Blake, T; Blanc, F; Blouw, J; Blusk, S; Bocci, V; Boettcher, T; Bondar, A; Bondar, N; Bonivento, W; Bordyuzhin, I; 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2017-01-01

The decays [Formula: see text] and [Formula: see text] are observed for the first time using a data sample corresponding to an integrated luminosity of 3.0 fb[Formula: see text], collected by the LHCb experiment in proton-proton collisions at the centre-of-mass energies of 7 and 8[Formula: see text]. The branching fractions relative to that of [Formula: see text] are measured to be [Formula: see text]where the first uncertainties are statistical and the second are systematic.

Text analysis methods, text analysis apparatuses, and articles of manufacture

Science.gov (United States)

Whitney, Paul D; Willse, Alan R; Lopresti, Charles A; White, Amanda M

2014-10-28

Text analysis methods, text analysis apparatuses, and articles of manufacture are described according to some aspects. In one aspect, a text analysis method includes accessing information indicative of data content of a collection of text comprising a plurality of different topics, using a computing device, analyzing the information indicative of the data content, and using results of the analysis, identifying a presence of a new topic in the collection of text.

Measurement of [Formula: see text] polarisation in [Formula: see text] collisions at [Formula: see text] = 7 TeV.

Science.gov (United States)

Aaij, R; Adeva, B; Adinolfi, M; Affolder, A; Ajaltouni, Z; Albrecht, J; Alessio, F; Alexander, M; Ali, S; Alkhazov, G; Alvarez Cartelle, P; Alves, A A; Amato, S; Amerio, S; Amhis, Y; An, L; Anderlini, L; Anderson, J; Andreassen, R; Andreotti, M; Andrews, J E; Appleby, R B; Aquines Gutierrez, O; Archilli, F; Artamonov, A; Artuso, M; Aslanides, E; Auriemma, G; Baalouch, M; Bachmann, S; Back, J J; Badalov, A; Balagura, V; Baldini, W; Barlow, R J; Barschel, C; Barsuk, S; Barter, W; Batozskaya, V; Bauer, Th; Bay, A; Beddow, J; Bedeschi, F; Bediaga, I; Belogurov, S; Belous, K; Belyaev, I; Ben-Haim, E; Bencivenni, G; Benson, S; Benton, J; Berezhnoy, A; Bernet, R; Bettler, M-O; van Beuzekom, M; Bien, A; Bifani, S; Bird, T; Bizzeti, A; Bjørnstad, P M; Blake, T; Blanc, F; Blouw, J; Blusk, S; Bocci, V; Bondar, A; Bondar, N; Bonivento, W; Borghi, S; Borgia, A; Borsato, M; Bowcock, T J V; Bowen, E; Bozzi, C; Brambach, T; van den Brand, J; Bressieux, J; Brett, D; Britsch, M; Britton, T; Brook, N H; 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The polarisation of prompt [Formula: see text] mesons is measured by performing an angular analysis of [Formula: see text] decays using proton-proton collision data, corresponding to an integrated luminosity of 1.0[Formula: see text], collected by the LHCb detector at a centre-of-mass energy of 7 TeV. The polarisation is measured in bins of transverse momentum [Formula: see text] and rapidity [Formula: see text] in the kinematic region [Formula: see text] and [Formula: see text], and is compared to theoretical models. No significant polarisation is observed.

Crowdfunding: entre as Multidões e as Corporações

Directory of Open Access Journals (Sweden)

Erick Felinto

2013-01-01

Full Text Available Este artigo examina as práticas de crowdfunding e crowdsourcing no contexto da chamada web 2.0.  Por meio de uma exploração filosófica e sociológica das noções de multidão e de indivíduo, investigamos as tensões ideológicas que cercam essas praticas, encaradas por vezes como libertárias, por vezes como conservadoras.  O artigo aborda estudos de caso que ajudam a ilustrar os aspectos contraditórios do crowdfunding.

Corpora and Cultural Cognition

DEFF Research Database (Denmark)

Jensen, Kim Ebensgaard

2017-01-01

Cultural cognition is, to a great extent, transmitted through language and, consequently, reflected and replicated in language use. Cultural cognition may be instantiated in various patterns of language use, such as the discursive behavior of constructions. Very often, such instantiations can be ...... is addressed. In the third part of the chapter, three case studies are presented – one from Danish and two from English – to illustrate the analysis of cultural conceptualization via corpus-linguistic techniques....

Production of K[Formula: see text](892)[Formula: see text] and [Formula: see text](1020) in p-Pb collisions at [Formula: see text] = 5.02 TeV.

Science.gov (United States)

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Redlich, K; Reed, R J; Rehman, A; Reichelt, P; Reidt, F; Ren, X; Renfordt, R; Reolon, A R; Reshetin, A; Revol, J-P; Reygers, K; Riabov, V; Ricci, R A; Richert, T; Richter, M; Riedler, P; Riegler, W; Riggi, F; Ristea, C; Rocco, E; Rodríguez Cahuantzi, M; Rodriguez Manso, A; Røed, K; Rogochaya, E; Rohr, D; Röhrich, D; Romita, R; Ronchetti, F; Ronflette, L; Rosnet, P; Rossi, A; Roukoutakis, F; Roy, A; Roy, C; Roy, P; Rubio Montero, A J; Rui, R; Russo, R; Ryabinkin, E; Ryabov, Y; Rybicki, A; Sadovsky, S; Šafařík, K; Sahlmuller, B; Sahoo, P; Sahoo, R; Sahoo, S; Sahu, P K; Saini, J; Sakai, S; Saleh, M A; Salzwedel, J; Sambyal, S; Samsonov, V; Šándor, L; Sandoval, A; Sano, M; Sarkar, D; Sarma, P; Scapparone, E; Scarlassara, F; Schiaua, C; Schicker, R; Schmidt, C; Schmidt, H R; Schuchmann, S; Schukraft, J; Schulc, M; Schuster, T; Schutz, Y; Schwarz, K; Schweda, K; Scioli, G; Scomparin, E; Scott, R; Šefčík, M; Seger, J E; Sekiguchi, Y; Sekihata, D; Selyuzhenkov, I; Senosi, K; Senyukov, S; Serradilla, E; Sevcenco, A; Shabanov, A; Shabetai, A; Shadura, O; Shahoyan, R; Shangaraev, A; Sharma, A; Sharma, M; Sharma, M; Sharma, N; Shigaki, K; Shtejer, K; Sibiriak, Y; Siddhanta, S; Sielewicz, K M; Siemiarczuk, T; Silvermyr, D; Silvestre, C; Simatovic, G; Simonetti, G; Singaraju, R; Singh, R; Singha, S; Singhal, V; Sinha, B C; Sinha, T; Sitar, B; Sitta, M; Skaali, T B; Slupecki, M; Smirnov, N; Snellings, R J M; Snellman, T W; Søgaard, C; Song, J; Song, M; Song, Z; Soramel, F; Sorensen, S; Souza, R D de; Sozzi, F; Spacek, M; Spiriti, E; Sputowska, I; Spyropoulou-Stassinaki, M; Stachel, J; Stan, I; Stankus, P; Stefanek, G; Stenlund, E; Steyn, G; Stiller, J H; Stocco, D; Strmen, P; Suaide, A A P; Sugitate, T; Suire, C; Suleymanov, M; Suljic, M; Sultanov, R; Šumbera, M; Szabo, A; Szanto de Toledo, A; Szarka, I; Szczepankiewicz, A; Szymanski, M; Tabassam, U; Takahashi, J; Tambave, G J; Tanaka, N; Tangaro, M A; Tarhini, M; Tariq, M; Tarzila, M G; Tauro, A; Tejeda Muñoz, G; Telesca, A; Terasaki, K; Terrevoli, C; Teyssier, B; Thäder, J; Thomas, D; Tieulent, R; Timmins, A R; Toia, A; Trogolo, S; Trombetta, G; Trubnikov, V; Trzaska, W H; Tsuji, T; Tumkin, A; Turrisi, R; Tveter, T S; Ullaland, K; Uras, A; Usai, G L; Utrobicic, A; Vajzer, M; Vala, M; Valencia Palomo, L; Vallero, S; Van Der Maarel, J; Van Hoorne, J W; van Leeuwen, M; Vanat, T; Vande Vyvre, P; Varga, D; Vargas, A; Vargyas, M; Varma, R; Vasileiou, M; Vasiliev, A; Vauthier, A; Vechernin, V; Veen, A M; Veldhoen, M; Velure, A; Venaruzzo, M; Vercellin, E; Vergara Limón, S; Vernet, R; Verweij, M; Vickovic, L; Viesti, G; Viinikainen, J; Vilakazi, Z; Villalobos Baillie, O; Villatoro Tello, A; Vinogradov, A; Vinogradov, L; Vinogradov, Y; Virgili, T; Vislavicius, V; Viyogi, Y P; Vodopyanov, A; Völkl, M A; Voloshin, K; Voloshin, S A; Volpe, G; von Haller, B; Vorobyev, I; Vranic, D; Vrláková, J; Vulpescu, B; Wagner, B; Wagner, J; Wang, H; Wang, M; Watanabe, D; Watanabe, Y; Weber, M; Weber, S G; Weiser, D F; Wessels, J P; Westerhoff, U; Whitehead, A M; Wiechula, J; Wikne, J; Wilk, G; Wilkinson, J; Williams, M C S; Windelband, B; Winn, M; Yang, H; Yang, P; Yano, S; Yasar, C; Yin, Z; Yokoyama, H; Yoo, I-K; Yoon, J H; Yurchenko, V; Yushmanov, I; Zaborowska, A; Zaccolo, V; Zaman, A; Zampolli, C; Zanoli, H J C; Zaporozhets, S; Zardoshti, N; Zarochentsev, A; Závada, P; Zaviyalov, N; Zbroszczyk, H; Zgura, I S; Zhalov, M; Zhang, H; Zhang, X; Zhang, Y; Zhang, C; Zhang, Z; Zhao, C; Zhigareva, N; Zhou, D; Zhou, Y; Zhou, Z; Zhu, H; Zhu, J; Zichichi, A; Zimmermann, A; Zimmermann, M B; Zinovjev, G; Zyzak, M

The production of K[Formula: see text](892)[Formula: see text] and [Formula: see text](1020) mesons has been measured in p-Pb collisions at [Formula: see text][Formula: see text] 5.02 TeV. K[Formula: see text] and [Formula: see text] are reconstructed via their decay into charged hadrons with the ALICE detector in the rapidity range [Formula: see text]. The transverse momentum spectra, measured as a function of the multiplicity, have a p[Formula: see text] range from 0 to 15 GeV/ c for K[Formula: see text] and from 0.3 to 21 GeV/ c for [Formula: see text]. Integrated yields, mean transverse momenta and particle ratios are reported and compared with results in pp collisions at [Formula: see text][Formula: see text] 7 TeV and Pb-Pb collisions at [Formula: see text][Formula: see text] 2.76 TeV. In Pb-Pb and p-Pb collisions, K[Formula: see text] and [Formula: see text] probe the hadronic phase of the system and contribute to the study of particle formation mechanisms by comparison with other identified hadrons. For this purpose, the mean transverse momenta and the differential proton-to-[Formula: see text] ratio are discussed as a function of the multiplicity of the event. The short-lived K[Formula: see text] is measured to investigate re-scattering effects, believed to be related to the size of the system and to the lifetime of the hadronic phase.

Computer Learner Corpora: Analysing Interlanguage Errors in Synchronous and Asynchronous Communication

Science.gov (United States)

MacDonald, Penny; Garcia-Carbonell, Amparo; Carot, Sierra, Jose Miguel

2013-01-01

This study focuses on the computer-aided analysis of interlanguage errors made by the participants in the telematic simulation IDEELS (Intercultural Dynamics in European Education through on-Line Simulation). The synchronous and asynchronous communication analysed was part of the MiLC Corpus, a multilingual learner corpus of texts written by…

Text accessibility by people with reduced contrast sensitivity.

Science.gov (United States)

Crossland, Michael D; Rubin, Gary S

2012-09-01

Contrast sensitivity is reduced in people with eye disease, and also in older adults without eye disease. In this article, we compare contrast of text presented in print and digital formats with contrast sensitivity values for a large cohort of subjects in a population-based study of older adults (the Salisbury Eye Evaluation). Contrast sensitivity values were recorded for 2520 adults aged 65 to 84 years living in Salisbury, Maryland. The proportion of the sample likely to be unable to read text of different formats (electronic books, newsprint, paperback books, laser print, and LED computer monitors) was calculated using published contrast reserve levels required to perform spot reading, to read with fluency, high fluency, and under optimal conditions. One percent of this sample had contrast sensitivity less than that required to read newsprint fluently. Text presented on an LED computer monitor had the highest contrast. Ninety-eight percent of the sample had contrast sensitivity sufficient for high fluent reading of text (at least 160 words/min) on a monitor. However, 29.6% were still unlikely to be able to read this text with optimal fluency. Reduced contrast of print limits text accessibility for many people in the developed world. Presenting text in a high-contrast format, such as black laser print on a white page, would increase the number of people able to access such information. Additionally, making text available in a format that can be presented on an LED computer monitor will increase access to written documents.

Imitating manual curation of text-mined facts in biomedicine.

Directory of Open Access Journals (Sweden)

Raul Rodriguez-Esteban

2006-09-01

Full Text Available Text-mining algorithms make mistakes in extracting facts from natural-language texts. In biomedical applications, which rely on use of text-mined data, it is critical to assess the quality (the probability that the message is correctly extracted of individual facts--to resolve data conflicts and inconsistencies. Using a large set of almost 100,000 manually produced evaluations (most facts were independently reviewed more than once, producing independent evaluations, we implemented and tested a collection of algorithms that mimic human evaluation of facts provided by an automated information-extraction system. The performance of our best automated classifiers closely approached that of our human evaluators (ROC score close to 0.95. Our hypothesis is that, were we to use a larger number of human experts to evaluate any given sentence, we could implement an artificial-intelligence curator that would perform the classification job at least as accurately as an average individual human evaluator. We illustrated our analysis by visualizing the predicted accuracy of the text-mined relations involving the term cocaine.

Primary cutaneous anaplastic large cell lymphoma masquerading as large pyogenic granuloma

Directory of Open Access Journals (Sweden)

Anupama Bains

2016-01-01

Full Text Available Primary cutaneous anaplastic large cell lymphoma (pcALCL forms 9% of the cutaneous T-cell lymphomas. It usually presents as solitary reddish brown ulcerating nodule or indurated plaque. Sometimes, it mimics other dermatological diseases such as eczema, pyoderma gangrenosum, pyogenic granuloma, morphea, and squamous cell carcinoma. Our case presented with large pyogenic granuloma like lesion with regional lymphadenopathy. Since pcALCL is rare, one can misdiagnose such cases and therefore high index of suspicion is necessary.

Understanding Minority Shareholders' Perceptions Pertaining To Corporate Governance Practices In Malaysia

OpenAIRE

Lee, Mun Jye

2010-01-01

Corporate Governance is concerned about the establishment of structures, processes and mechanisms by which businesses and affairs of the firms are directed, managed and monitored. The presence of effective corporate governance mechanisms are believed to generate long term stakeholders‟ values at large through the accountability of managers and enhancing the firms‟ performances. This research makes an attempt to understand the minority shareholders‟ perceptions pertaining to certain corpora...

Text against Text: Counterbalancing the Hegemony of Assessment.

Science.gov (United States)

Cosgrove, Cornelius

A study examined whether composition specialists can counterbalance the potential privileging of the assessment perspective, or of self-appointed interpreters of that perspective, through the study of assessment discourse as text. Fourteen assessment texts were examined, most of them journal articles and most of them featuring the common…

Pedoinformatics Approach to Soil Text Analytics

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Furey, J.; Seiter, J.; Davis, A.

2017-12-01

The several extant schema for the classification of soils rely on differing criteria, but the major soil science taxonomies, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources systems, are based principally on inferred pedogenic properties. These taxonomies largely result from compiled individual observations of soil morphologies within soil profiles, and the vast majority of this pedologic information is contained in qualitative text descriptions. We present text mining analyses of hundreds of gigabytes of parsed text and other data in the digitally available USDA soil taxonomy documentation, the Soil Survey Geographic (SSURGO) database, and the National Cooperative Soil Survey (NCSS) soil characterization database. These analyses implemented iPython calls to Gensim modules for topic modelling, with latent semantic indexing completed down to the lowest taxon level (soil series) paragraphs. Via a custom extension of the Natural Language Toolkit (NLTK), approximately one percent of the USDA soil series descriptions were used to train a classifier for the remainder of the documents, essentially by treating soil science words as comprising a novel language. While location-specific descriptors at the soil series level are amenable to geomatics methods, unsupervised clustering of the occurrence of other soil science words did not closely follow the usual hierarchy of soil taxa. We present preliminary phrasal analyses that may account for some of these effects.

Predicting Prosody from Text for Text-to-Speech Synthesis

CERN Document Server

Rao, K Sreenivasa

2012-01-01

Predicting Prosody from Text for Text-to-Speech Synthesis covers the specific aspects of prosody, mainly focusing on how to predict the prosodic information from linguistic text, and then how to exploit the predicted prosodic knowledge for various speech applications. Author K. Sreenivasa Rao discusses proposed methods along with state-of-the-art techniques for the acquisition and incorporation of prosodic knowledge for developing speech systems. Positional, contextual and phonological features are proposed for representing the linguistic and production constraints of the sound units present in the text. This book is intended for graduate students and researchers working in the area of speech processing.

Penile Embryology and Anatomy

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Jenny H. Yiee

2010-01-01

Full Text Available Knowledge of penile embryology and anatomy is essential to any pediatric urologist in order to fully understand and treat congenital anomalies. Sex differentiation of the external genitalia occurs between the 7thand 17th weeks of gestation. The Y chromosome initiates male differentiation through the SRY gene, which triggers testicular development. Under the influence of androgens produced by the testes, external genitalia then develop into the penis and scrotum. Dorsal nerves supply penile skin sensation and lie within Buck's fascia. These nerves are notably absent at the 12 o'clock position. Perineal nerves supply skin sensation to the ventral shaft skin and frenulum. Cavernosal nerves lie within the corpora cavernosa and are responsible for sexual function. Paired cavernosal, dorsal, and bulbourethral arteries have extensive anastomotic connections. During erection, the cavernosal artery causes engorgement of the cavernosa, while the deep dorsal artery leads to glans enlargement. The majority of venous drainage occurs through a single, deep dorsal vein into which multiple emissary veins from the corpora and circumflex veins from the spongiosum drain. The corpora cavernosa and spongiosum are all made of spongy erectile tissue. Buck's fascia circumferentially envelops all three structures, splitting into two leaves ventrally at the spongiosum. The male urethra is composed of six parts: bladder neck, prostatic, membranous, bulbous, penile, and fossa navicularis. The urethra receives its blood supply from both proximal and distal directions.

HealthyhornsTXT: A Text-Messaging Program to Promote College Student Health and Wellness.

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Glowacki, Elizabeth M; Kirtz, Susan; Hughes Wagner, Jessica; Cance, Jessica Duncan; Barrera, Denise; Bernhardt, Jay M

2018-01-01

Text-messaging interventions positively affect health behaviors, but their use on college campuses has been limited. Text messaging serves as a relatively affordable way to communicate with large audiences and is one of the preferred modes of communication for young adults. This study examined the feasibility and acceptability of a campus-wide, health text-messaging program. The subscriber pool consisted of approximately 6,000 undergraduate students from a large, southern university. From that pool, 1,095 participants (64% female; 41% White) completed a posttest survey. Text messages covered a range of health topics and information about campus resources. Research was conducted from August through December 2015. Process data were collected throughout the semester; participants' attitudes were assessed via an online survey at the program's conclusion. Students demonstrated engagement with the messages throughout the semester as evidenced by replies to text-back keywords and clicks on website links embedded within messages. Messages about sleep, stress management, and hydration were considered most relevant. The majority of participants (61%) reported increased awareness regarding their health. Text-messaging interventions are a feasible strategy to improve college student health.

Edge parameters from an energy analyzer and particle transport on TEXT-U

International Nuclear Information System (INIS)

Crockett, D.B.; Phillips, P.E.; Craven, W.A.; Rowan, W.L.; Wootton, A.J.; Wan, A.S.; Yang, T.F.

1994-01-01

The energy distributions of ions and electrons in the scrape-off layer of TEXT are measured with a bi-directional Retarding Field Analyzer (RFA). The probe provides simultaneous measurements parallel and anti-parallel to the plasma current. Large asymmetries in this direction in the flux and temperature that were found with the RFA appear largely due to differences in the connection lengths L c . The measurements from the analyzer are compared with the results of a simple edge model to infer the edge particle diffusion coefficient. While the measurements are consistent with the model for longer connection lengths (∼ 10 meters in TEXT-U), the agreement deteriorates for L c less than two meters

VisualUrText: A Text Analytics Tool for Unstructured Textual Data

Science.gov (United States)

Zainol, Zuraini; Jaymes, Mohd T. H.; Nohuddin, Puteri N. E.

2018-05-01

The growing amount of unstructured text over Internet is tremendous. Text repositories come from Web 2.0, business intelligence and social networking applications. It is also believed that 80-90% of future growth data is available in the form of unstructured text databases that may potentially contain interesting patterns and trends. Text Mining is well known technique for discovering interesting patterns and trends which are non-trivial knowledge from massive unstructured text data. Text Mining covers multidisciplinary fields involving information retrieval (IR), text analysis, natural language processing (NLP), data mining, machine learning statistics and computational linguistics. This paper discusses the development of text analytics tool that is proficient in extracting, processing, analyzing the unstructured text data and visualizing cleaned text data into multiple forms such as Document Term Matrix (DTM), Frequency Graph, Network Analysis Graph, Word Cloud and Dendogram. This tool, VisualUrText, is developed to assist students and researchers for extracting interesting patterns and trends in document analyses.

Layout-aware text extraction from full-text PDF of scientific articles

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Ramakrishnan Cartic

2012-05-01

Full Text Available Abstract Background The Portable Document Format (PDF is the most commonly used file format for online scientific publications. The absence of effective means to extract text from these PDF files in a layout-aware manner presents a significant challenge for developers of biomedical text mining or biocuration informatics systems that use published literature as an information source. In this paper we introduce the ‘Layout-Aware PDF Text Extraction’ (LA-PDFText system to facilitate accurate extraction of text from PDF files of research articles for use in text mining applications. Results Our paper describes the construction and performance of an open source system that extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles and is meant as a baseline for further experiments into more advanced extraction methods that handle multi-modal content, such as images and graphs. The system works in a three-stage process: (1 Detecting contiguous text blocks using spatial layout processing to locate and identify blocks of contiguous text, (2 Classifying text blocks into rhetorical categories using a rule-based method and (3 Stitching classified text blocks together in the correct order resulting in the extraction of text from section-wise grouped blocks. We show that our system can identify text blocks and classify them into rhetorical categories with Precision1 = 0.96% Recall = 0.89% and F1 = 0.91%. We also present an evaluation of the accuracy of the block detection algorithm used in step 2. Additionally, we have compared the accuracy of the text extracted by LA-PDFText to the text from the Open Access subset of PubMed Central. We then compared this accuracy with that of the text extracted by the PDF2Text system, 2commonly used to extract text from PDF

Apresentação dos recursos linguísticos para a língua portuguesa e procedimentos da análise de corpus do léxico português

Directory of Open Access Journals (Sweden)

Blažka Müller Pograjc

2007-12-01

Full Text Available Observa-se, actualmente, em todo o mundo, um interesse crescente pela criação de recursos linguísticos, nomeadamente corpora e léxicos de grandes dimensões, o que tem sido possível graças ao extraordinário desenvolvimento da informática e do poder dos computadores. Estes recursos linguísticos específicos de cada língua, em associação com tecnologias adequadas à extracção de dados e de conhecimentos, constituem pré-requisitos indispensáveis a um grande conjunto de trabalhos de investigação. Os corpora proporcionam novas maneiras de estudar as línguas, das quais resultam descrições, generalizações e hipótesis teóricas de grande consistência porque são fundamentadas nos dados empíricos.

Korpora og korpusprogammel i opbygningen af fagordbøger

DEFF Research Database (Denmark)

Weilgaard Christensen, Lotte

1996-01-01

for extracting data for terminological purposes are presented. Existing tools seem to be prototypes or they do not meet the requirements which such a terminological tool ought to meet. Nevertheless, having in mind the latest developments in the field, we shall probably before long be presented with tools which...... do meet those requirements to a much higher degree than the tools which are in the market at present.   In my article, I list the requirements which should be kept in mind when building corpora and corpora tools for terminological purposes. At the end of the article, I present some terminological......As the use of corpora for terminological purposes has so far received very little attention, my purpose is to present important concepts in corpus linguistics and to discuss their relevance for special language corpora intended for terminology-related data retrieval. Further, some tools...

Layout-aware text extraction from full-text PDF of scientific articles.

Science.gov (United States)

Ramakrishnan, Cartic; Patnia, Abhishek; Hovy, Eduard; Burns, Gully Apc

2012-05-28

The Portable Document Format (PDF) is the most commonly used file format for online scientific publications. The absence of effective means to extract text from these PDF files in a layout-aware manner presents a significant challenge for developers of biomedical text mining or biocuration informatics systems that use published literature as an information source. In this paper we introduce the 'Layout-Aware PDF Text Extraction' (LA-PDFText) system to facilitate accurate extraction of text from PDF files of research articles for use in text mining applications. Our paper describes the construction and performance of an open source system that extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles and is meant as a baseline for further experiments into more advanced extraction methods that handle multi-modal content, such as images and graphs. The system works in a three-stage process: (1) Detecting contiguous text blocks using spatial layout processing to locate and identify blocks of contiguous text, (2) Classifying text blocks into rhetorical categories using a rule-based method and (3) Stitching classified text blocks together in the correct order resulting in the extraction of text from section-wise grouped blocks. We show that our system can identify text blocks and classify them into rhetorical categories with Precision1 = 0.96% Recall = 0.89% and F1 = 0.91%. We also present an evaluation of the accuracy of the block detection algorithm used in step 2. Additionally, we have compared the accuracy of the text extracted by LA-PDFText to the text from the Open Access subset of PubMed Central. We then compared this accuracy with that of the text extracted by the PDF2Text system, 2commonly used to extract text from PDF. Finally, we discuss preliminary error analysis for

A Comparison of English and Japanese Proverbs Using Natural Semantic Metalanguage

Directory of Open Access Journals (Sweden)

Miles Neale

2015-06-01

Full Text Available This investigation examines the meaning of semantically similar English and Japanese proverbs. It uses textual data sourced from online corpora to highlight and compare the different cultural and conceptual elements embedded within these proverbs. The findings of this investigation demonstrate that matching proverbs from different languages is a potentially problematic exercise, both in dictionaries and in the second-language classroom.

Progress of recent experimental research on the J-TEXT tokamak

Science.gov (United States)

Zhuang, G.; Gentle, K. W.; Chen, Z. Y.; Chen, Z. P.; Yang, Z. J.; Zheng, Wei; Hu, Q. M.; Chen, J.; Rao, B.; Zhong, W. L.; Zhao, K. J.; Gao, L.; Cheng, Z. F.; Zhang, X. Q.; Wang, L.; Jiang, Z. H.; Xu, T.; Zhang, M.; Wang, Z. J.; Ding, Y. H.; Yu, K. X.; Hu, X. W.; Pan, Y.; Huang, H.; the J-TEXT Team

2017-10-01

The progress of experimental research over the last two years on the J-TEXT tokamak is reviewed and reported in this paper, including: investigations of resonant magnetic perturbations (RMPs) on the J-TEXT operation region show that moderate amplitude of applied RMPs either increases the density limit from less than 0.7n G to 0.85n G (n G is the Greenwald density, {{n}\\text{G}}={{I}\\text{p}}/π {{a}2} ) or lowers edge safety factor q a from 2.15 to nearly 2.0; observations of influence of RMPs with a large m/n  =  3/1 dominant component (where m and n are the toroidal and poloidal mode numbers respectively) on electron density indicate electron density first increases (decreases) inside (around/outside) of the 3/1 rational surface, and it is increased globally later together with enhanced edge recycling; investigations of the effect of RMPs on the behavior of runaway electrons/current show that application of RMPs with m/n  =  2/1 dominant component during disruptions can reduce runaway production. Furthermore, its application before the disruption can reduce both the amplitude and the length of runaway current; experimental results in the high-density disruption plasmas confirm that local current shrinkage during a multifaceted asymmetric radiation from the edge can directly terminate the discharge; measurements by a multi-channel Doppler reflectometer show that the quasi-coherent modes in the electron diamagnetic direction occur in the J-TEXT ohmic confinement regime in a large plasma region (r/a ~ 0.3-0.8) with frequency of 30-140 kHz.

On the origin of long-range correlations in texts.

Science.gov (United States)

Altmann, Eduardo G; Cristadoro, Giampaolo; Esposti, Mirko Degli

2012-07-17

The complexity of human interactions with social and natural phenomena is mirrored in the way we describe our experiences through natural language. In order to retain and convey such a high dimensional information, the statistical properties of our linguistic output has to be highly correlated in time. An example are the robust observations, still largely not understood, of correlations on arbitrary long scales in literary texts. In this paper we explain how long-range correlations flow from highly structured linguistic levels down to the building blocks of a text (words, letters, etc..). By combining calculations and data analysis we show that correlations take form of a bursty sequence of events once we approach the semantically relevant topics of the text. The mechanisms we identify are fairly general and can be equally applied to other hierarchical settings.

Pressing needs of biomedical text mining in biocuration and beyond: opportunities and challenges.

Science.gov (United States)

Singhal, Ayush; Leaman, Robert; Catlett, Natalie; Lemberger, Thomas; McEntyre, Johanna; Polson, Shawn; Xenarios, Ioannis; Arighi, Cecilia; Lu, Zhiyong

2016-01-01

Text mining in the biomedical sciences is rapidly transitioning from small-scale evaluation to large-scale application. In this article, we argue that text-mining technologies have become essential tools in real-world biomedical research. We describe four large scale applications of text mining, as showcased during a recent panel discussion at the BioCreative V Challenge Workshop. We draw on these applications as case studies to characterize common requirements for successfully applying text-mining techniques to practical biocuration needs. We note that system 'accuracy' remains a challenge and identify several additional common difficulties and potential research directions including (i) the 'scalability' issue due to the increasing need of mining information from millions of full-text articles, (ii) the 'interoperability' issue of integrating various text-mining systems into existing curation workflows and (iii) the 'reusability' issue on the difficulty of applying trained systems to text genres that are not seen previously during development. We then describe related efforts within the text-mining community, with a special focus on the BioCreative series of challenge workshops. We believe that focusing on the near-term challenges identified in this work will amplify the opportunities afforded by the continued adoption of text-mining tools. Finally, in order to sustain the curation ecosystem and have text-mining systems adopted for practical benefits, we call for increased collaboration between text-mining researchers and various stakeholders, including researchers, publishers and biocurators. Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the US.

Horizontal-view interferometer on TEXT-Upgrade

International Nuclear Information System (INIS)

Jiang, Y.; Brower, D.L.

1994-01-01

The first experimental results from the horizontal-view, multichannel, heterodyne FIR interferometer system on TEXT-Upgrade are reported. The system employs parabolic beam-expansion optics and a 15 cm array with minimum channel spacing of 1.5 cm. Profiles of the plasma electron density will be presented. In addition, small-amplitude density perturbations resulting from sawteeth and tearing modes are examined. Due to the double-pass of the laser beam through the plasma and the large distance of the detector array [2.5 m] from the plasma, refractive effects must be addressed for densities greater than 2 x 10 13 cm -3 . A ray tracing code is developed to correct the measured profiles

Biomedical text mining and its applications in cancer research.

Science.gov (United States)

Zhu, Fei; Patumcharoenpol, Preecha; Zhang, Cheng; Yang, Yang; Chan, Jonathan; Meechai, Asawin; Vongsangnak, Wanwipa; Shen, Bairong

2013-04-01

Cancer is a malignant disease that has caused millions of human deaths. Its study has a long history of well over 100years. There have been an enormous number of publications on cancer research. This integrated but unstructured biomedical text is of great value for cancer diagnostics, treatment, and prevention. The immense body and rapid growth of biomedical text on cancer has led to the appearance of a large number of text mining techniques aimed at extracting novel knowledge from scientific text. Biomedical text mining on cancer research is computationally automatic and high-throughput in nature. However, it is error-prone due to the complexity of natural language processing. In this review, we introduce the basic concepts underlying text mining and examine some frequently used algorithms, tools, and data sets, as well as assessing how much these algorithms have been utilized. We then discuss the current state-of-the-art text mining applications in cancer research and we also provide some resources for cancer text mining. With the development of systems biology, researchers tend to understand complex biomedical systems from a systems biology viewpoint. Thus, the full utilization of text mining to facilitate cancer systems biology research is fast becoming a major concern. To address this issue, we describe the general workflow of text mining in cancer systems biology and each phase of the workflow. We hope that this review can (i) provide a useful overview of the current work of this field; (ii) help researchers to choose text mining tools and datasets; and (iii) highlight how to apply text mining to assist cancer systems biology research. Copyright © 2012 Elsevier Inc. All rights reserved.

Domain-independent information extraction in unstructured text

Energy Technology Data Exchange (ETDEWEB)

Irwin, N.H. [Sandia National Labs., Albuquerque, NM (United States). Software Surety Dept.

1996-09-01

Extracting information from unstructured text has become an important research area in recent years due to the large amount of text now electronically available. This status report describes the findings and work done during the second year of a two-year Laboratory Directed Research and Development Project. Building on the first-year`s work of identifying important entities, this report details techniques used to group words into semantic categories and to output templates containing selective document content. Using word profiles and category clustering derived during a training run, the time-consuming knowledge-building task can be avoided. Though the output still lacks in completeness when compared to systems with domain-specific knowledge bases, the results do look promising. The two approaches are compatible and could complement each other within the same system. Domain-independent approaches retain appeal as a system that adapts and learns will soon outpace a system with any amount of a priori knowledge.

Encoding Sequential Information in Semantic Space Models: Comparing Holographic Reduced Representation and Random Permutation

Directory of Open Access Journals (Sweden)

Gabriel Recchia

2015-01-01

Full Text Available Circular convolution and random permutation have each been proposed as neurally plausible binding operators capable of encoding sequential information in semantic memory. We perform several controlled comparisons of circular convolution and random permutation as means of encoding paired associates as well as encoding sequential information. Random permutations outperformed convolution with respect to the number of paired associates that can be reliably stored in a single memory trace. Performance was equal on semantic tasks when using a small corpus, but random permutations were ultimately capable of achieving superior performance due to their higher scalability to large corpora. Finally, “noisy” permutations in which units are mapped to other units arbitrarily (no one-to-one mapping perform nearly as well as true permutations. These findings increase the neurological plausibility of random permutations and highlight their utility in vector space models of semantics.

From Text to Political Positions: Text analysis across disciplines

NARCIS (Netherlands)

Kaal, A.R.; Maks, I.; van Elfrinkhof, A.M.E.

2014-01-01

ABSTRACT From Text to Political Positions addresses cross-disciplinary innovation in political text analysis for party positioning. Drawing on political science, computational methods and discourse analysis, it presents a diverse collection of analytical models including pure quantitative and

Beyond accuracy: creating interoperable and scalable text-mining web services.

Science.gov (United States)

Wei, Chih-Hsuan; Leaman, Robert; Lu, Zhiyong

2016-06-15

The biomedical literature is a knowledge-rich resource and an important foundation for future research. With over 24 million articles in PubMed and an increasing growth rate, research in automated text processing is becoming increasingly important. We report here our recently developed web-based text mining services for biomedical concept recognition and normalization. Unlike most text-mining software tools, our web services integrate several state-of-the-art entity tagging systems (DNorm, GNormPlus, SR4GN, tmChem and tmVar) and offer a batch-processing mode able to process arbitrary text input (e.g. scholarly publications, patents and medical records) in multiple formats (e.g. BioC). We support multiple standards to make our service interoperable and allow simpler integration with other text-processing pipelines. To maximize scalability, we have preprocessed all PubMed articles, and use a computer cluster for processing large requests of arbitrary text. Our text-mining web service is freely available at http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/tmTools/#curl : Zhiyong.Lu@nih.gov. Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the US.

LocText

DEFF Research Database (Denmark)

Cejuela, Juan Miguel; Vinchurkar, Shrikant; Goldberg, Tatyana

2018-01-01

trees and was trained and evaluated on a newly improved LocTextCorpus. Combined with an automatic named-entity recognizer, LocText achieved high precision (P = 86%±4). After completing development, we mined the latest research publications for three organisms: human (Homo sapiens), budding yeast...

Where Are "Their" Voices? Examining Power and Privilege in a Family Literacy Text

Science.gov (United States)

Kumar, Tracey

2014-01-01

The purpose of this study was to examine how a family literacy text linked to a large-scale, U.S.-based family literacy program either privileged or disprivileged dominant, Eurocentric literacy practices. More specifically, this study investigated the ways in which the family literacy text: (1) conceptualized literacy; and (2) constructed the role…

Contextual Text Mining

Science.gov (United States)

Mei, Qiaozhu

2009-01-01

With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the…

ERP inside Large Organizations

Directory of Open Access Journals (Sweden)

Constantin Daniel AVRAM

2010-01-01

Full Text Available Many large companies in Romania are still functioning without an ERP system. Instead they are using traditional application systems built around the strong boundaries of specific functions: finance, selling, HR, production. An ERP will offer lots of advantages among which the integration of functionalities and support for top management decisions. Although the total cost of ownership is not small and there are some risks when implementing an ERP inside large and very large organizations, having such a system is mandatory. Choosing the right product and vendor and using a correct risk management strategy, will ensure a successful implementation.

Environmental Determinants of Lexical Processing Effort

OpenAIRE

McDonald, Scott

2000-01-01

Institute for Adaptive and Neural Computation A central concern of psycholinguistic research is explaining the relative ease or difficulty involved in processing words. In this thesis, we explore the connection between lexical processing effort and measurable properties of the linguistic environment. Distributional information (information about a word’s contexts of use) is easily extracted from large language corpora in the form of co-occurrence statistics. We claim that su...

Learning for Semantic Parsing with Kernels under Various Forms of Supervision

Science.gov (United States)

2007-08-01

natural language sentences to their formal executable meaning representations. This is a challenging problem and is critical for developing computing...sentences are semantically tractable. This indi- cates that Geoquery is more challenging domain for semantic parsing than ATIS. In the past, there have been a...Combining parsers. In Proceedings of the Conference on Em- pirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/ VLC -99), pp. 187–194

Field – Football Expressions Dictionary: a lexicographic resource based on the theoretical-methodological approach of frame semantics and corpus linguistics

Directory of Open Access Journals (Sweden)

Rove Luiza de Oliveira Chishman

2015-01-01

Full Text Available The present article aims at problematizing the relevance of Frame Semantics (Fillmore, 1982 in the development of Field – Dictionary of Football Expressions – which the configuration allows the access to football language through expressions or through scenarios – or semantic frames. Frame Semantics, a theory developed in the realm of Cognitive Linguistics, is based on empirical data collected from the analysis of electronic corpora. The extraction of the data presented in this study was done with the Sketch Engine concordance, while their analysis was relegated to Frame Semantics. Among the results, it is possible to point out at the manner in which Fillmore´s theory contributes to the analysis of polysemy, presenting the different senses of a lexical unit considering different situations – or different frames – in which they appear. This article also emphasizes the pertinence of corpus linguistics and the processing of corpora as resources that allow the analysis of linguistic constructs present in the texts. It is also important to emphasize the applicability of Frame Semantics to a resource devoted to a non-specialized public, once the theory makes the contextualization of language possible through the everyday routine of the speakers.

Systematic characterizations of text similarity in full text biomedical publications.

Science.gov (United States)

Sun, Zhaohui; Errami, Mounir; Long, Tara; Renard, Chris; Choradia, Nishant; Garner, Harold

2010-09-15

Computational methods have been used to find duplicate biomedical publications in MEDLINE. Full text articles are becoming increasingly available, yet the similarities among them have not been systematically studied. Here, we quantitatively investigated the full text similarity of biomedical publications in PubMed Central. 72,011 full text articles from PubMed Central (PMC) were parsed to generate three different datasets: full texts, sections, and paragraphs. Text similarity comparisons were performed on these datasets using the text similarity algorithm eTBLAST. We measured the frequency of similar text pairs and compared it among different datasets. We found that high abstract similarity can be used to predict high full text similarity with a specificity of 20.1% (95% CI [17.3%, 23.1%]) and sensitivity of 99.999%. Abstract similarity and full text similarity have a moderate correlation (Pearson correlation coefficient: -0.423) when the similarity ratio is above 0.4. Among pairs of articles in PMC, method sections are found to be the most repetitive (frequency of similar pairs, methods: 0.029, introduction: 0.0076, results: 0.0043). In contrast, among a set of manually verified duplicate articles, results are the most repetitive sections (frequency of similar pairs, results: 0.94, methods: 0.89, introduction: 0.82). Repetition of introduction and methods sections is more likely to be committed by the same authors (odds of a highly similar pair having at least one shared author, introduction: 2.31, methods: 1.83, results: 1.03). There is also significantly more similarity in pairs of review articles than in pairs containing one review and one nonreview paper (frequency of similar pairs: 0.0167 and 0.0023, respectively). While quantifying abstract similarity is an effective approach for finding duplicate citations, a comprehensive full text analysis is necessary to uncover all potential duplicate citations in the scientific literature and is helpful when

Production of [Formula: see text] and [Formula: see text] in proton-proton collisions at [Formula: see text] 7 TeV.

Science.gov (United States)

Abelev, B; Adam, J; Adamová, D; Aggarwal, M M; Rinella, G Aglieri; Agnello, M; Agostinelli, A; Agrawal, N; Ahammed, Z; Ahmad, N; Ahmed, I; Ahn, S U; Ahn, S A; Aimo, I; Aiola, S; Ajaz, M; Akindinov, A; Alam, S N; Aleksandrov, D; Alessandro, B; Alexandre, D; Alici, A; Alkin, A; Alme, J; Alt, T; Altinpinar, S; Altsybeev, I; Alves Garcia Prado, C; Andrei, C; Andronic, A; Anguelov, V; Anielski, J; Antičić, T; Antinori, F; Antonioli, P; Aphecetche, L; Appelshäuser, H; Arcelli, S; Armesto, N; Arnaldi, R; Aronsson, T; Arsene, I C; Arslandok, M; Augustinus, A; Averbeck, R; Awes, T C; Azmi, M D; Bach, M; Badalà, A; Baek, Y W; Bagnasco, S; Bailhache, R; Bala, R; Baldisseri, A; Baltasar Dos Santos Pedrosa, F; Baral, R C; Barbera, R; Barile, F; Barnaföldi, G G; Barnby, L S; Barret, V; Bartke, J; Basile, M; Bastid, N; Basu, S; Bathen, B; Batigne, G; Batista Camejo, A; Batyunya, B; Batzing, P C; Baumann, C; Bearden, I G; Beck, H; Bedda, C; Behera, N K; Belikov, I; Bellini, F; Bellwied, R; Belmont-Moreno, E; Belmont, R; Belyaev, V; Bencedi, G; Beole, S; Berceanu, I; Bercuci, A; Berdnikov, Y; Berenyi, D; Berger, M E; Bertens, R A; Berzano, D; Betev, L; Bhasin, A; Bhat, I R; Bhati, A K; Bhattacharjee, B; Bhom, J; Bianchi, L; Bianchi, N; Bianchin, C; Bielčík, J; Bielčíková, J; Bilandzic, A; Bjelogrlic, S; Blanco, F; Blau, D; Blume, C; Bock, F; Bogdanov, A; Bøggild, H; Bogolyubsky, M; Böhmer, F V; Boldizsár, L; Bombara, M; Book, J; Borel, H; Borissov, A; Bossú, F; Botje, M; Botta, E; Böttger, S; Braun-Munzinger, P; Bregant, M; Breitner, T; Broker, T A; Browning, T A; Broz, M; Bruna, E; Bruno, G E; Budnikov, D; Buesching, H; Bufalino, S; Buncic, P; Busch, O; Buthelezi, Z; Caffarri, D; Cai, X; Caines, H; Calero Diaz, L; Caliva, A; Calvo Villar, E; Camerini, P; Carena, F; Carena, W; Castillo Castellanos, J; Casula, E A R; Catanescu, V; Cavicchioli, C; Ceballos Sanchez, C; Cepila, J; Cerello, P; Chang, B; Chapeland, S; Charvet, J L; Chattopadhyay, S; Chattopadhyay, S; Chelnokov, V; Cherney, M; Cheshkov, C; Cheynis, B; Chibante Barroso, V; Chinellato, D D; Chochula, P; Chojnacki, M; Choudhury, S; Christakoglou, P; Christensen, C H; Christiansen, P; Chujo, T; Chung, S U; Cicalo, C; Cifarelli, L; Cindolo, F; Cleymans, J; Colamaria, F; Colella, D; Collu, A; Colocci, M; Conesa Balbastre, G; Conesa Del Valle, Z; Connors, M E; Contreras, J G; Cormier, T M; Corrales Morales, Y; Cortese, P; Cortés Maldonado, I; Cosentino, M R; Costa, F; Crochet, P; Cruz Albino, R; Cuautle, E; Cunqueiro, L; Dainese, A; Dang, R; Danu, A; Das, D; Das, I; Das, K; Das, S; Dash, A; Dash, S; De, S; Delagrange, H; Deloff, A; Dénes, E; D'Erasmo, G; De Caro, A; de Cataldo, G; de Cuveland, J; De Falco, A; De Gruttola, D; De Marco, N; De Pasquale, S; de Rooij, R; Diaz Corchero, M A; Dietel, T; Dillenseger, P; Divià, R; Di Bari, D; Di Liberto, S; Di Mauro, A; Di Nezza, P; Djuvsland, Ø; Dobrin, A; Dobrowolski, T; Domenicis Gimenez, D; Dönigus, B; Dordic, O; Dørheim, S; Dubey, A K; Dubla, A; Ducroux, L; Dupieux, P; Dutta Majumdar, A K; Hilden, T E; Ehlers, R J; Elia, D; Engel, H; Erazmus, B; Erdal, H A; Eschweiler, D; Espagnon, B; Esposito, M; Estienne, M; Esumi, S; Evans, D; Evdokimov, S; Fabris, D; Faivre, J; Falchieri, D; Fantoni, A; Fasel, M; Fehlker, D; Feldkamp, L; Felea, D; Feliciello, A; Feofilov, G; Ferencei, J; Fernández Téllez, A; Ferreiro, E G; Ferretti, A; Festanti, A; Figiel, J; Figueredo, M A S; Filchagin, S; Finogeev, D; Fionda, F M; Fiore, E M; Floratos, E; Floris, M; Foertsch, S; Foka, P; Fokin, S; Fragiacomo, E; Francescon, A; Frankenfeld, U; Fuchs, U; Furget, C; Furs, A; Fusco Girard, M; Gaardhøje, J J; Gagliardi, M; Gago, A M; Gallio, M; Gangadharan, D R; Ganoti, P; Gao, C; Garabatos, C; Garcia-Solis, E; Gargiulo, C; Garishvili, I; Gerhard, J; Germain, M; Gheata, A; Gheata, M; Ghidini, B; Ghosh, P; Ghosh, S K; Gianotti, P; Giubellino, P; Gladysz-Dziadus, E; Glässel, P; Gomez Ramirez, A; González-Zamora, P; Gorbunov, S; Görlich, L; Gotovac, S; Graczykowski, L K; Grelli, A; Grigoras, A; Grigoras, C; Grigoriev, V; Grigoryan, A; Grigoryan, S; Grinyov, B; Grion, N; Grosse-Oetringhaus, J F; Grossiord, J-Y; Grosso, R; Guber, F; Guernane, R; Guerzoni, B; Guilbaud, M; Gulbrandsen, K; Gulkanyan, H; Gumbo, M; Gunji, T; Gupta, A; Gupta, R; Khan, K H; Haake, R; Haaland, Ø; Hadjidakis, C; Haiduc, M; Hamagaki, H; Hamar, G; Hanratty, L D; Hansen, A; Harris, J W; Hartmann, H; Harton, A; Hatzifotiadou, D; Hayashi, S; Heckel, S T; Heide, M; Helstrup, H; Herghelegiu, A; Herrera Corral, G; Hess, B A; Hetland, K F; Hippolyte, B; Hladky, J; Hristov, P; Huang, M; Humanic, T J; Hussain, N; Hussain, T; Hutter, D; Hwang, D S; Ilkaev, R; Ilkiv, I; Inaba, M; Innocenti, G M; Ionita, C; Ippolitov, M; Irfan, M; Ivanov, M; Ivanov, V; Jachołkowski, A; Jacobs, P M; Jahnke, C; Jang, H J; Janik, M A; Jayarathna, P H S Y; Jena, C; Jena, S; Jimenez Bustamante, R T; Jones, P G; Jung, H; Jusko, A; Kadyshevskiy, V; Kalinak, P; Kalweit, A; Kamin, J; Kang, J H; Kaplin, V; Kar, S; Karasu Uysal, A; Karavichev, O; Karavicheva, T; Karpechev, E; Kebschull, U; Keidel, R; Keijdener, D L D; Svn, M Keil; Khan, M M; Khan, P; Khan, S A; Khanzadeev, A; Kharlov, Y; Kileng, B; Kim, B; Kim, D W; Kim, D J; Kim, J S; Kim, M; Kim, M; Kim, S; Kim, T; Kirsch, S; Kisel, I; Kiselev, S; Kisiel, A; Kiss, G; Klay, J L; Klein, J; Klein-Bösing, C; Kluge, A; Knichel, M L; Knospe, A G; Kobdaj, C; Kofarago, M; Köhler, M K; Kollegger, T; Kolojvari, A; Kondratiev, V; Kondratyeva, N; Konevskikh, A; Kovalenko, V; Kowalski, M; Kox, S; Koyithatta Meethaleveedu, G; Kral, J; Králik, I; Kravčáková, A; Krelina, M; Kretz, M; Krivda, M; Krizek, F; Kryshen, E; Krzewicki, M; Kučera, V; Kucheriaev, Y; Kugathasan, T; Kuhn, C; Kuijer, P G; Kulakov, I; Kumar, J; Kurashvili, P; Kurepin, A; Kurepin, A B; Kuryakin, A; Kushpil, S; Kweon, M J; Kwon, Y; Ladron de Guevara, P; Lagana Fernandes, C; Lakomov, I; Langoy, R; Lara, C; Lardeux, A; Lattuca, A; La Pointe, S L; La Rocca, P; Lea, R; Leardini, L; Lee, G R; Legrand, I; Lehnert, J; Lemmon, R C; Lenti, V; Leogrande, E; Leoncino, M; León Monzón, I; Lévai, P; Li, S; Lien, J; Lietava, R; Lindal, S; Lindenstruth, V; Lippmann, C; Lisa, M A; Ljunggren, H M; Lodato, D F; Loenne, P I; Loggins, V R; Loginov, V; Lohner, D; Loizides, C; Lopez, X; López Torres, E; Lu, X-G; Luettig, P; Lunardon, M; Luparello, G; Ma, R; Maevskaya, A; Mager, M; Mahapatra, D P; Mahmood, S M; Maire, A; Majka, R D; Malaev, M; Maldonado Cervantes, I; Malinina, L; Mal'Kevich, D; Malzacher, P; Mamonov, A; Manceau, L; Manko, V; Manso, F; Manzari, V; Marchisone, M; Mareš, J; Margagliotti, G V; Margotti, A; Marín, A; Markert, C; Marquard, M; Martashvili, I; Martin, N A; Martinengo, P; Martínez, M I; Martínez García, G; Martin Blanco, J; Martynov, Y; Mas, A; Masciocchi, S; Masera, M; Masoni, A; Massacrier, L; Mastroserio, A; Matyja, A; Mayer, C; Mazer, J; Mazzoni, M A; Meddi, F; Menchaca-Rocha, A; Meninno, E; Mercado Pérez, J; Meres, M; Miake, Y; Mikhaylov, K; Milano, L; Milosevic, J; Mischke, A; Mishra, A N; Miśkowiec, D; Mitra, J; Mitu, C M; Mlynarz, J; Mohammadi, N; Mohanty, B; Molnar, L; Montaño Zetina, L; Montes, E; Morando, M; Moreira De Godoy, D A; Moretto, S; Morreale, A; Morsch, A; Muccifora, V; Mudnic, E; Mühlheim, D; Muhuri, S; Mukherjee, M; Müller, H; Munhoz, M G; Murray, S; Musa, L; Musinsky, J; Nandi, B K; Nania, R; Nappi, E; Nattrass, C; Nayak, K; Nayak, T K; Nazarenko, S; Nedosekin, A; Nicassio, M; Niculescu, M; Niedziela, J; Nielsen, B S; Nikolaev, S; Nikulin, S; Nikulin, V; Nilsen, B S; Noferini, F; Nomokonov, P; Nooren, G; Norman, J; Nyanin, A; Nystrand, J; Oeschler, H; Oh, S; Oh, S K; Okatan, A; Okubo, T; Olah, L; Oleniacz, J; Oliveira Da Silva, A C; Onderwaater, J; Oppedisano, C; Ortiz Velasquez, A; Oskarsson, A; Otwinowski, J; Oyama, K; Ozdemir, M; Sahoo, P; Pachmayer, Y; Pachr, M; Pagano, P; Paić, G; Pajares, C; Pal, S K; Palmeri, A; Pant, D; Papikyan, V; Pappalardo, G S; Pareek, P; Park, W J; Parmar, S; Passfeld, A; Patalakha, D I; Paticchio, V; Paul, B; Pawlak, T; Peitzmann, T; Pereira Da Costa, H; Pereira De Oliveira Filho, E; Peresunko, D; Pérez Lara, C E; Pesci, A; Peskov, V; Pestov, Y; Petráček, V; Petran, M; Petris, M; Petrovici, M; Petta, C; Piano, S; Pikna, M; Pillot, P; Pinazza, O; Pinsky, L; Piyarathna, D B; Płoskoń, M; Planinic, M; Pluta, J; Pochybova, S; Podesta-Lerma, P L M; Poghosyan, M G; Pohjoisaho, E H O; Polichtchouk, B; Poljak, N; Pop, A; Porteboeuf-Houssais, S; Porter, J; Potukuchi, B; Prasad, S K; Preghenella, R; Prino, F; Pruneau, C A; Pshenichnov, I; Puccio, M; Puddu, G; Pujahari, P; Punin, V; Putschke, J; Qvigstad, H; Rachevski, A; Raha, S; Rajput, S; Rak, J; Rakotozafindrabe, A; Ramello, L; Raniwala, R; Raniwala, S; Räsänen, S S; Rascanu, B T; Rathee, D; Rauf, A W; Razazi, V; Read, K F; Real, J S; Redlich, K; Reed, R J; Rehman, A; Reichelt, P; Reicher, M; Reidt, F; Renfordt, R; Reolon, A R; Reshetin, A; Rettig, F; Revol, J-P; Reygers, K; Riabov, V; Ricci, R A; Richert, T; Richter, M; Riedler, P; Riegler, W; Riggi, F; Rivetti, A; Rocco, E; Rodríguez Cahuantzi, M; Rodriguez Manso, A; Røed, K; Rogochaya, E; Rohni, S; Rohr, D; Röhrich, D; Romita, R; Ronchetti, F; Ronflette, L; Rosnet, P; Rossi, A; Roukoutakis, F; Roy, A; Roy, C; Roy, P; Rubio Montero, A J; Rui, R; Russo, R; Ryabinkin, E; Ryabov, Y; Rybicki, A; Sadovsky, S; Šafařík, K; Sahlmuller, B; Sahoo, R; Sahu, P K; Saini, J; Sakai, S; Salgado, C A; Salzwedel, J; Sambyal, S; Samsonov, V; Sanchez Castro, X; Sánchez Rodríguez, F J; Šándor, L; Sandoval, A; Sano, M; Santagati, G; Sarkar, D; Scapparone, E; Scarlassara, F; Scharenberg, R P; Schiaua, C; Schicker, R; Schmidt, C; Schmidt, H R; Schuchmann, S; Schukraft, J; Schulc, M; Schuster, T; Schutz, Y; Schwarz, K; Schweda, K; Scioli, G; Scomparin, E; Scott, R; Segato, G; Seger, J E; Sekiguchi, Y; Selyuzhenkov, I; Senosi, K; Seo, J; Serradilla, E; Sevcenco, A; Shabetai, A; Shabratova, G; Shahoyan, R; Shangaraev, A; Sharma, A; Sharma, N; Sharma, S; Shigaki, K; Shtejer, K; Sibiriak, Y; Siddhanta, S; Siemiarczuk, T; Silvermyr, D; Silvestre, C; Simatovic, G; Singaraju, R; Singh, R; Singha, S; Singhal, V; Sinha, B C; Sinha, T; Sitar, B; Sitta, M; Skaali, T B; Skjerdal, K; Slupecki, M; Smirnov, N; Snellings, R J M; Søgaard, C; Soltz, R; Song, J; Song, M; Soramel, F; Sorensen, S; Spacek, M; Spiriti, E; Sputowska, I; Spyropoulou-Stassinaki, M; Srivastava, B K; Stachel, J; Stan, I; Stefanek, G; Steinpreis, M; Stenlund, E; Steyn, G; Stiller, J H; Stocco, D; Stolpovskiy, M; Strmen, P; Suaide, A A P; Sugitate, T; Suire, C; Suleymanov, M; Sultanov, R; Šumbera, M; Symons, T J M; Szabo, A; Szanto de Toledo, A; Szarka, I; Szczepankiewicz, A; Szymanski, M; Takahashi, J; Tangaro, M A; Tapia Takaki, J D; Tarantola Peloni, A; Tarazona Martinez, A; Tariq, M; Tarzila, M G; Tauro, A; Tejeda Muñoz, G; Telesca, A; Terasaki, K; Terrevoli, C; Thäder, J; Thomas, D; Tieulent, R; Timmins, A R; Toia, A; Trubnikov, V; Trzaska, W H; Tsuji, T; Tumkin, A; Turrisi, R; Tveter, T S; Ullaland, K; Uras, A; Usai, G L; Vajzer, M; Vala, M; Valencia Palomo, L; Vallero, S; Vande Vyvre, P; Van Der Maarel, J; Van Hoorne, J W; van Leeuwen, M; Vargas, A; Vargyas, M; Varma, R; Vasileiou, M; Vasiliev, A; Vechernin, V; Veldhoen, M; Velure, A; Venaruzzo, M; Vercellin, E; Vergara Limón, S; Vernet, R; Verweij, M; Vickovic, L; Viesti, G; Viinikainen, J; Vilakazi, Z; Villalobos Baillie, O; Vinogradov, A; Vinogradov, L; Vinogradov, Y; Virgili, T; Vislavicius, V; Viyogi, Y P; Vodopyanov, A; Völkl, M A; Voloshin, K; Voloshin, S A; Volpe, G; von Haller, B; Vorobyev, I; Vranic, D; Vrláková, J; Vulpescu, B; Vyushin, A; Wagner, B; Wagner, J; Wagner, V; Wang, M; Wang, Y; Watanabe, D; Weber, M; Weber, S G; Wessels, J P; Westerhoff, U; Wiechula, J; Wikne, J; Wilde, M; Wilk, G; Wilkinson, J; Williams, M C S; Windelband, B; Winn, M; Yaldo, C G; Yamaguchi, Y; Yang, H; Yang, P; Yang, S; Yano, S; Yasnopolskiy, S; Yi, J; Yin, Z; Yoo, I-K; Yushmanov, I; Zaccolo, V; Zach, C; Zaman, A; Zampolli, C; Zaporozhets, S; Zarochentsev, A; Závada, P; Zaviyalov, N; Zbroszczyk, H; Zgura, I S; Zhalov, M; Zhang, H; Zhang, X; Zhang, Y; Zhao, C; Zhigareva, N; Zhou, D; Zhou, F; Zhou, Y; Zhuo, Zhou; Zhu, H; Zhu, J; Zhu, X; Zichichi, A; Zimmermann, A; Zimmermann, M B; Zinovjev, G; Zoccarato, Y; Zyzak, M

The production of the strange and double-strange baryon resonances ([Formula: see text], [Formula: see text]) has been measured at mid-rapidity ([Formula: see text][Formula: see text]) in proton-proton collisions at [Formula: see text] [Formula: see text] 7 TeV with the ALICE detector at the LHC. Transverse momentum spectra for inelastic collisions are compared to QCD-inspired models, which in general underpredict the data. A search for the [Formula: see text] pentaquark, decaying in the [Formula: see text] channel, has been carried out but no evidence is seen.

Visual Saliency Models for Text Detection in Real World.

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Renwu Gao

Full Text Available This paper evaluates the degree of saliency of texts in natural scenes using visual saliency models. A large scale scene image database with pixel level ground truth is created for this purpose. Using this scene image database and five state-of-the-art models, visual saliency maps that represent the degree of saliency of the objects are calculated. The receiver operating characteristic curve is employed in order to evaluate the saliency of scene texts, which is calculated by visual saliency models. A visualization of the distribution of scene texts and non-texts in the space constructed by three kinds of saliency maps, which are calculated using Itti's visual saliency model with intensity, color and orientation features, is given. This visualization of distribution indicates that text characters are more salient than their non-text neighbors, and can be captured from the background. Therefore, scene texts can be extracted from the scene images. With this in mind, a new visual saliency architecture, named hierarchical visual saliency model, is proposed. Hierarchical visual saliency model is based on Itti's model and consists of two stages. In the first stage, Itti's model is used to calculate the saliency map, and Otsu's global thresholding algorithm is applied to extract the salient region that we are interested in. In the second stage, Itti's model is applied to the salient region to calculate the final saliency map. An experimental evaluation demonstrates that the proposed model outperforms Itti's model in terms of captured scene texts.

The structure of Diagnostic and Statistical Manual of Mental Disorders (4th edition, text revision) personality disorder symptoms in a large national sample.

Science.gov (United States)

Trull, Timothy J; Vergés, Alvaro; Wood, Phillip K; Jahng, Seungmin; Sher, Kenneth J

2012-10-01

We examined the latent structure underlying the criteria for DSM-IV-TR (American Psychiatric Association, 2000, Diagnostic and statistical manual of mental disorders (4th ed., text revision). Washington, DC: Author.) personality disorders in a large nationally representative sample of U.S. adults. Personality disorder symptom data were collected using a structured diagnostic interview from approximately 35,000 adults assessed over two waves of data collection in the National Epidemiologic Survey on Alcohol and Related Conditions. Our analyses suggested that a seven-factor solution provided the best fit for the data, and these factors were marked primarily by one or at most two personality disorder criteria sets. A series of regression analyses that used external validators tapping Axis I psychopathology, treatment for mental health problems, functioning scores, interpersonal conflict, and suicidal ideation and behavior provided support for the seven-factor solution. We discuss these findings in the context of previous studies that have examined the structure underlying the personality disorder criteria as well as the current proposals for DSM-5 personality disorders. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

Using Bitmap Indexing Technology for Combined Numerical and TextQueries

Energy Technology Data Exchange (ETDEWEB)

Stockinger, Kurt; Cieslewicz, John; Wu, Kesheng; Rotem, Doron; Shoshani, Arie

2006-10-16

In this paper, we describe a strategy of using compressedbitmap indices to speed up queries on both numerical data and textdocuments. By using an efficient compression algorithm, these compressedbitmap indices are compact even for indices with millions of distinctterms. Moreover, bitmap indices can be used very efficiently to answerBoolean queries over text documents involving multiple query terms.Existing inverted indices for text searches are usually inefficient forcorpora with a very large number of terms as well as for queriesinvolving a large number of hits. We demonstrate that our compressedbitmap index technology overcomes both of those short-comings. In aperformance comparison against a commonly used database system, ourindices answer queries 30 times faster on average. To provide full SQLsupport, we integrated our indexing software, called FastBit, withMonetDB. The integrated system MonetDB/FastBit provides not onlyefficient searches on a single table as FastBit does, but also answersjoin queries efficiently. Furthermore, MonetDB/FastBit also provides avery efficient retrieval mechanism of result records.

Reproduction-related sound production of grasshoppers regulated by internal state and actual sensory environment

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Ralf eHeinrich

2012-06-01

Full Text Available The interplay of neural and hormonal mechanisms activated by entero- and exteroreceptors biases the selection of actions by decision making neuronal circuits. The reproductive behaviour of acoustically communicating grasshoppers, which is regulated by short-term neural and longer-term hormonal mechanisms, has frequently been used to study the cellular and physiological processes that select particular actions from the species-specific repertoire of behaviours. Various grasshoppers communicate with species- and situation-specific songs in order to attract and court mating partners, to signal reproductive readiness or to fend off competitors. Selection and coordination of type, intensity and timing of sound signals is mediated by the central complex, a highly structured brain neuropil known to integrate multimodal pre-processed sensory information by a large number of chemical messengers. In addition, reproductive activity including sound production critically depends on maturation, previous mating experience and oviposition cycles. In this regard, juvenile hormone released from the corpora allata has been identified as a decisive hormonal signal necessary to establish reproductive motivation in grasshopper females. Both regulatory systems, the central complex mediating short-term regulation and the corpora allata mediating longer-term regulation of reproduction related sound production mutually influence each other’s activity in order to generate a coherent state of excitation that promotes or suppresses reproductive behaviour in respective appropriate or inappropriate situations.This review summarizes our current knowledge about extrinsic and intrinsic factors that influence grasshopper reproductive motivation, their representation in the nervous system and their integrative processing that mediates the initiation or suppression of reproductive behaviors.

submitter $^7 \\text{Be(n,} \\alpha)$ and $^7 \\text{Be(n,p)}$ cross-section measurement for the cosmological lithium problem at the n_TOF facility at CERN

CERN Document Server

Barbagallo, M; Aberle, O; Andrzejewski, J; Audouin, L; Bécares, V; Bacak, M; Balibrea, J; Barros, S; Bečvář, F; Beinrucker, C; Berthoumieux, E; Billowes, J; Bosnar, D; Brugger, M; Caamaño, M; Calviño, F; Calviani, M; Cano-Ott, D; Cardella, R; Casanovas, A; Castelluccio, D M; Cerutti, F; Chen, Y H; Chiaveri, E; Cortés, G; Cortés-Giraldo, M A; Cosentino, L; Damone, L A; Diakaki, M; Domingo-Pardo, C; Dressler, R; Dupont, E; Durán, I; Fernández-Domínguez, B; Ferrari, A; Ferreira, P; Finocchiaro, P; Furman, V; Göbel, K; García, A R; Gawlik, A; Glodariu, T; Gonçalves, I F; González, E; Goverdovski, A; Griesmayer, E; Guerrero, C; Gunsing, F; Harada, H; Heftrich, T; Heinitz, S; Heyse, J; Jenkins, D G; Jericha, E; Käppeler, F; Kadi, Y; Katabuchi, T; Kavrigin, P; Ketlerov, V; Khryachkov, V; Kimura, A; Kivel, N; Kokkoris, M; Krtička, M; Leal-Cidoncha, E; Lederer, C; Leeb, H; Lerendegui-Marco, J; Lo Meo, S; Lonsdale, S J; Losito, R; Macina, D; Marganiec, J; Martínez, T; Massimi, C; Mastinu, P; Mastromarco, M; Matteucci, F; Maugeri, E A; Mendoza, E; Mengoni, A; Milazzo, P M; Mingrone, F; Mirea, M; Montesano, S; Musumarra, A; Nolte, R; Oprea, A; Patronis, N; Pavlik, A; Perkowski, J; Porras, J I; Praena, J; Quesada, J M; Rajeev, K; Rauscher, T; Reifarth, R; Riego-Perez, A; Rout, P C; Rubbia, C; Ryan, J A; Sabaté-Gilarte, M; Saxena, A; Schillebeeckx, P; Schmidt, S; Schumann, D; Sedyshev, P; Smith, A G; Stamatopoulos, A; Tagliente, G; Tain, J L; Tarifeño-Saldivia, A; Tassan-Got, L; Tsinganis, A; Valenta, S; Vannini, G; Variale, V; Vaz, P; Ventura, A; Vlachoudis, V; Vlastou, R; Wallner, A; Warren, S; Weigand, M; Weiss, C; Wolf, C; Woods, P J; Wright, T; Žugec, P

2017-01-01

The Cosmological Lithium Problem refers to the large discrepancy between the abundance of primordial $^7$Li predicted by the standard theory of Big Bang Nucleosynthesis and the value inferred from the so-called “Spite plateau” in halo stars. A possible explanation for this longstanding puzzle in Nuclear Astrophysics is related to the incorrect estimation of the destruction rate of $^7$Be, which is responsible for the production of 95% of primordial Lithium. While charged-particle induced reactions have mostly been ruled out, data on the $^7 \\text{Be(n,} \\alpha)$ and $^7 \\text{Be(n,p)}$ reactions are scarce or completely missing, so that a large uncertainty still affects the abundance of $^7$Li predicted by the standard theory of Big Bang Nucleosynthesis. Both reactions have been measured at the n_TOF facility at CERN, providing for the first time data in a wide neutron energy range.

Megalourethra as a rare cause for erectile dysfunction

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Robert Pallas, MD, Bch

2015-01-01

Full Text Available MRI findings of megalourethra have not previously been reported. We present a case of an adult presenting with lifelong erectile dysfunction secondary to poor development of the corpus spongiosum and corpora cavernosa. The pathogenesis, typical presentation, and treatment of megalourethra, as well as the use of modern imaging techniques to aid in the diagnosis and treatment of this disease are discussed.

Magnetic Resonance Imaging: An accurate diagnostic tool in the precise localization of penile fracture

Directory of Open Access Journals (Sweden)

Mujeeb M Rahiman

2013-01-01

Full Text Available An 18-year-old male presented with history and clinical findings suggestive of penile fracture. An MRI demonstrated disruption of the tunica albuginea and corpora cavernosa on the left dorso-lateral aspect, mid-shaft of penis with adjacent hematoma, and subcutaneous edema. At surgery, imaging findings were found to be accurate, and the penis was successfully repaired with minimal postoperative morbidity.

Speech and Language and Language Translation (SALT)

Science.gov (United States)

2012-12-01

Humayoun was conducted, along with a review of proposed Pashto rules as described in academic papers. In particular, Zuhra and Khan 2009 [11...French paraphrases, using an external Berkeley parser trained for French. Paraphrasing and Plagiarism : A review was made of literature on the use of...paraphrasing and comparable text, and of literature on the related field of plagiarism detection. Metrics and corpora for plagiarism detection were

Pertumbuhan Prenatal dalam Kandungan Kambing Melalui Superovulasi

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ADRIANI

2007-06-01

Full Text Available Thirty six Etawah-grade does (BW 20.4-44.2 kg, age 2.5-7 years were used to study the efficacy of increasing secretion of endogenous hormones of pregnancy by superovulation of does to stimulate of growth prenatal in uterus. The does were injected with pregnant mare serum gonadotrophin (PMSG, 0 IU/kg BW [grouped into nonsuperovulation-NSO] and 15 IU/kg BW [grouped into Superovulation-SO]. Intravaginal sponge (60 mg medroxyprogesterone acetate was applied for 14 days to synchronize estrus cycle. Twenty four hours prior to sponge removal, PMSG was injected to stimulate superovulation. After sponge removal, five experimental does were mixed with one buck for natural mating. Superovulation prior to mating increased number of corpora lutea, mean of maternal serum estradiol concentration, progesterone concentration, litter size, average birth weight and average milk yield, by 112, 67, 42, 27, 32, and 35%, respectively. Those were correlated with the increase of uterine, corpora lutea, and individual birth weight.

Web Resources and Tools for Slovenian with a Focus on the Slovenian-English Language Infrastructure: Dictionaries in the Digital Age

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Mojca Šorli

2017-12-01

Full Text Available The article begins with a presentation of a selection of electronic monolingual and bi/multilingual lexicographic resources and corpora available today to contemporary users of Slovene. The focus is on works combined with English and designed for translation purposes which provide information on the meaning of words and wider lexical units, i.e., e-dictionaries, lexical databases, web translation tools and various corpora. In a separate sub-section the most common translation technologies are presented, together with an evaluation of their role in the modern translation process. Sections 2 and 3 provide a brief outline of the changes that have affected classical dictionary planning, compilation and use in the new digital environment, as well as of the relationship between dictionaries and related resources, such as lexical databases. Some stereotypes regarding dictionary use are identified and, in conclusion, the existing corpus-based databases for the Slovenian-English pair are presented, with a view to determining priorities for the future interlingual infrastructure action plans in Slovenia.

Using Artificial Intelligence Techniques to Implement a Multifactor Authentication System

Directory of Open Access Journals (Sweden)

Jackson Phiri

2011-08-01

Full Text Available The recent years have seen a rise in the number of cases of cyber-crime committed through identity theft and fraud. To address this problem, this paper uses adaptive neural-fuzzy inference system, fuzzy logic and artificial neural network to implement a multifactor authentication system through a technique of information fusion. To begin with, the identity attributes are mined using the three corpora from three major sources namely the social networks, a set of questionnaires and application forms from the various services offered both in the real and cyberspace. The statistical information generated by the corpora is then used to compose an identity attribute metric model. The composed identity attributes metrics values classified as biometrics, device metrics and pseudo metrics are then fused at the score level through a technique of information fusion in a multifactor authentication system by using each of the above artificial intelligence technologies and the results compared.

An insight into Twitter: a corpus based contrastive study in English and Spanish.

Directory of Open Access Journals (Sweden)

Irina Argüelles Álvarez

2012-07-01

Full Text Available The aim of this paper is to study the use of Spanish and English in the micro-blogging social network Twitter from a contrastive point of view. A quantitative research methodology is applied in order firstly, to identify specific common characteristics of language, organization and content in the medium and secondly, to find eventual differences in the use of a particular language. To carry out the experiment, two corpora were constructed using language data from Twitter, one in Spanish with a total number of 4,027,746 words and another with similar characteristics in English with a total number of 4,655,992 words. From the results obtained, the conclusion is that there are a number of very general discourse and organizational features common to the two corpora under study. It is also concluded that there are some particular characteristics which differentiate the use of English and Spanish in the medium.

Improving e-book access via a library-developed full-text search tool.

Science.gov (United States)

Foust, Jill E; Bergen, Phillip; Maxeiner, Gretchen L; Pawlowski, Peter N

2007-01-01

This paper reports on the development of a tool for searching the contents of licensed full-text electronic book (e-book) collections. The Health Sciences Library System (HSLS) provides services to the University of Pittsburgh's medical programs and large academic health system. The HSLS has developed an innovative tool for federated searching of its e-book collections. Built using the XML-based Vivísimo development environment, the tool enables a user to perform a full-text search of over 2,500 titles from the library's seven most highly used e-book collections. From a single "Google-style" query, results are returned as an integrated set of links pointing directly to relevant sections of the full text. Results are also grouped into categories that enable more precise retrieval without reformulation of the search. A heuristic evaluation demonstrated the usability of the tool and a web server log analysis indicated an acceptable level of usage. Based on its success, there are plans to increase the number of online book collections searched. This library's first foray into federated searching has produced an effective tool for searching across large collections of full-text e-books and has provided a good foundation for the development of other library-based federated searching products.

On the development of a tagset for Northern Sotho with special reference to the issue of standardisation

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E. Taljard

2008-07-01

Full Text Available Working with corpora in the South African Bantu languages has up till now been limited to the utilisation of raw corpora. Such corpora, however, have limited functionality. Thus the next logical step in any NLP application is the development of software for automatic tagging of electronic texts. The development of a tagset is one of the first steps in corpus annotation. The authors of this article argue that the design of a tagset cannot be isolated from the purpose of the tagset, or from the place of the tagset and its design within the bigger picture of the architecture of corpus annotation. Usage-related aspects therefore feature prominently in the design of the tagset for Northern Sotho. It is explained why this proposed tagset is biased towards human readability, rather than machine readability; this choice of a stochastic tagger is motivated, and the relationship between tokenising, tagging, morphological analysis and parsing is discussed. In order to account at least to some extent for the morphological complexity of Northern Sotho at the tagging level, a multilevel annotation is opted for: the first level comprising obligatory information and the second optional and recommended information. Finally, aspects of standardisation are considered against the background of reuse, of sharing of resources, and of possible adaptation for use by other disjunctively written South African Bantu languages. It is not the aim of this article to evaluate the results of any tagging procedure using the proposed tagset. It only describes the design and motivates the choices made with regard to the tagset design. However, an evaluation is in process and results will be published in the near future (cf. Faaß et al., s.a..

Texting Styles and Information Change of SMS Text Messages in Filipino

Science.gov (United States)

Cabatbat, Josephine Jill T.; Tapang, Giovanni A.

2013-02-01

We identify the different styles of texting in Filipino short message service (SMS) texts and analyze the change in unigram and bigram frequencies due to these styles. Style preference vectors for sample texts were calculated and used to identify the style combination used by an average individual. The change in Shannon entropy of the SMS text is explained in light of a coding process.

Relational Data Modelling of Textual Corpora: The Skaldic Project and its Extensions

DEFF Research Database (Denmark)

Wills, Tarrin Jon

2015-01-01

Skaldic poetry is a highly complex textual phenomenon both in terms of the intricacy of the poetry and its contextual environment. Extensible Markup Language (XML) applications such as that of the Text Encoding Initiative provide a means of semantic representation of some of these complexities. XML...

Collecting and evaluating speech recognition corpora for 11 South African languages

CSIR Research Space (South Africa)

Badenhorst, J

2011-08-01

Full Text Available . In addition, speech-based access to information may empower illiterate or semi-literate peo- ple, 98% of whom live in the developing world. SDSs can play a useful role in a wide range of applications. Of particular importance in Africa are applications... speech (i.e. appropriate for the recognition task in terms of the language used, the profile of the speakers, speaking style, etc.) This speech generally needs to be curated and transcribed prior to the development of ASR sys- tems, and for most...

Computing meaning v.4

CERN Document Server

Bunt, Harry; Pulman, Stephen

2013-01-01

This book is a collection of papers by leading researchers in computational semantics. It presents a state-of-the-art overview of recent and current research in computational semantics, including descriptions of new methods for constructing and improving resources for semantic computation, such as WordNet, VerbNet, and semantically annotated corpora. It also presents new statistical methods in semantic computation, such as the application of distributional semantics in the compositional calculation of sentence meanings. Computing the meaning of sentences, texts, and spoken or texted dialogue i

Developing a broadband automatic speech recognition system for Afrikaans

CSIR Research Space (South Africa)

De Wet, Febe

2011-08-01

Full Text Available baseline transcription for the news data. The match between a baseline transcription and its corre- sponding audio can be evaluated automatically using an ASR system in forced alignment mode. Only those bulletins for which a bad match is indicated... Component Index for data [3]. occurrence of Afrikaans words3. Other text corpora that are currently under construction in- clude daily downloads of the scripts of news bulletins that are read on an Afrikaans radio station as well as transcripts of par...

Measurement of azimuthal correlations of D mesons with charged particles in pp collisions at [Formula: see text] TeV and p-Pb collisions at [Formula: see text] TeV.

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Adam, J; Adamová, D; Aggarwal, M M; Aglieri Rinella, G; Agnello, M; Agrawal, N; Ahammed, Z; Ahmad, S; Ahn, S U; Aiola, S; Akindinov, A; Alam, S N; Albuquerque, D S D; Aleksandrov, D; Alessandro, B; Alexandre, D; Alfaro Molina, R; Alici, A; Alkin, A; Almaraz, J R M; Alme, J; Alt, T; Altinpinar, S; Altsybeev, I; Alves Garcia Prado, C; Andrei, C; Andronic, A; Anguelov, V; Antičić, T; Antinori, F; Antonioli, P; Aphecetche, L; Appelshäuser, H; Arcelli, S; Arnaldi, R; Arnold, O W; Arsene, I C; Arslandok, M; Audurier, B; Augustinus, A; Averbeck, R; Azmi, M D; Badalà, A; Baek, Y W; Bagnasco, S; Bailhache, R; Bala, R; Balasubramanian, S; Baldisseri, A; Baral, R C; Barbano, A M; Barbera, R; Barile, F; Barnaföldi, G G; Barnby, L S; Barret, V; Bartalini, P; Barth, K; Bartke, J; Bartsch, E; Basile, M; Bastid, N; Basu, S; Bathen, B; Batigne, G; Batista Camejo, A; Batyunya, B; Batzing, P C; Bearden, I G; Beck, H; Bedda, C; Behera, N K; Belikov, I; Bellini, F; Bello Martinez, H; Bellwied, R; Belmont, R; 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2017-01-01

The azimuthal correlations of D mesons with charged particles were measured with the ALICE apparatus in pp collisions at [Formula: see text] and p-Pb collisions at [Formula: see text] at the Large Hadron Collider. [Formula: see text], [Formula: see text], and [Formula: see text] mesons and their charge conjugates with transverse momentum [Formula: see text] and rapidity in the nucleon-nucleon centre-of-mass system [Formula: see text] (pp collisions) and [Formula: see text] (p-Pb collisions) were correlated to charged particles with [Formula: see text]. The yield of charged particles in the correlation peak induced by the jet containing the D meson and the peak width are compatible within uncertainties in the two collision systems. The data are described within uncertainties by Monte-Carlo simulations based on PYTHIA, POWHEG, and EPOS 3 event generators.

English Metafunction Analysis in Chemistry Text: Characterization of Scientific Text

Directory of Open Access Journals (Sweden)

Ahmad Amin Dalimunte, M.Hum

2013-09-01

Full Text Available The objectives of this research are to identify what Metafunctions are applied in chemistry text and how they characterize a scientific text. It was conducted by applying content analysis. The data for this research was a twelve-paragraph chemistry text. The data were collected by applying a documentary technique. The document was read and analyzed to find out the Metafunction. The data were analyzed by some procedures: identifying the types of process, counting up the number of the processes, categorizing and counting up the cohesion devices, classifying the types of modulation and determining modality value, finally counting up the number of sentences and clauses, then scoring the grammatical intricacy index. The findings of the research show that Material process (71of 100 is mostly used, circumstance of spatial location (26 of 56 is more dominant than the others. Modality (5 is less used in order to avoid from subjectivity. Impersonality is implied through less use of reference either pronouns (7 or demonstrative (7, conjunctions (60 are applied to develop ideas, and the total number of the clauses are found much more dominant (109 than the total number of the sentences (40 which results high grammatical intricacy index. The Metafunction found indicate that the chemistry text has fulfilled the characteristics of scientific or academic text which truly reflects it as a natural science.

“Girls Text Really Weird”: Gender, Texting and Identity Among Teens

DEFF Research Database (Denmark)

Ling, Richard; Baron, Naomi; Lenhart, Amanda

2014-01-01

This article examines the strategies used by teenagers for interacting with members of the opposite sex when texting. This article uses material from a series of nine focus groups from 2009 in four US cities. It reports on the strategies they use and the problems they encounter as they negotiate...... this portion of their lives. Texting is a direct, person-to-person venue where they can develop their gendered identity and also investigate romantic interaction. In this activity, both genders show the ability to make fine-grained interpretations of texts, often interpreting the meaning of punctuation...... and other paralinguistic devices. In addition, they use texts to characterize the opposite sex. Teen boys' texts are seen as short and perhaps brisk when viewed by girls. Boys see teen girls' texts as being overly long, prying and containing unneeded elements. The discussion of these practices shows how...

The Shona Corpus and the Problem of Tagging | Chabata | Lexikos

African Journals Online (AJOL)

An analysis of the problems that most corpus builders face shows that more problems are likely to be encountered when dealing with spoken corpora than with written corpora. The paper demonstrates that tagging is an important component of corpus building as it makes it easier for a researcher to extract relevant data.

Evaluating Bilingual and Monolingual Dictionaries for L2 Learners.

Science.gov (United States)

Hunt, Alan

1997-01-01

A discussion of dictionaries and their use for second language (L2) learning suggests that lack of computerized modern language corpora can adversely affect bilingual dictionaries, commonly used by L2 learners, and shows how use of such corpora has benefitted two contemporary monolingual L2 learner dictionaries (1995 editions of the Longman…

Learning from Learners: A Non-Standard Direct Approach to the Teaching of Writing Skills in EFL in a University Context

Science.gov (United States)

Fuster-Márquez, Miguel; Gregori-Signes, Carmen

2018-01-01

Corpora have been used in English as a foreign language materials for decades, and native corpora have been present in the classroom by means of direct approaches such as Data-Driven Learning (Johns, T., and P. King 1991. "'Should you be Persuaded'- Two Samples of Data-Driven Learning Materials." In "Classroom Concordancing,"…

Measurement of pion, kaon and proton production in proton-proton collisions at [Formula: see text] TeV.

Science.gov (United States)

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Khan, S A; Khanzadeev, A; Kharlov, Y; Kileng, B; Kim, B; Kim, D W; Kim, D J; Kim, H; Kim, J S; Kim, M; Kim, M; Kim, S; Kim, T; Kirsch, S; Kisel, I; Kiselev, S; Kisiel, A; Kiss, G; Klay, J L; Klein, C; Klein, J; Klein-Bösing, C; Kluge, A; Knichel, M L; Knospe, A G; Kobayashi, T; Kobdaj, C; Kofarago, M; Köhler, M K; Kollegger, T; Kolojvari, A; Kondratiev, V; Kondratyeva, N; Kondratyuk, E; Konevskikh, A; Kouzinopoulos, C; Kovalenko, O; Kovalenko, V; Kowalski, M; Kox, S; Meethaleveedu, G Koyithatta; Kral, J; Králik, I; Kravčáková, A; Krelina, M; Kretz, M; Krivda, M; Krizek, F; Kryshen, E; Krzewicki, M; Kubera, A M; Kučera, V; Kucheriaev, Y; Kugathasan, T; Kuhn, C; Kuijer, P G; Kulakov, I; Kumar, J; Kumar, L; Kurashvili, P; Kurepin, A; Kurepin, A B; Kuryakin, A; Kushpil, S; Kweon, M J; Kwon, Y; Pointe, S L La; Rocca, P La; Fernandes, C Lagana; Lakomov, I; Langoy, R; Lara, C; Lardeux, A; Lattuca, A; Laudi, E; Lea, R; Leardini, L; Lee, G R; Lee, S; Legrand, I; Lehnert, J; Lemmon, R C; Lenti, V; Leogrande, E; Monzón, I León; Leoncino, M; Lévai, P; Li, S; Li, X; Lien, J; Lietava, R; Lindal, S; Lindenstruth, V; Lippmann, C; Lisa, M A; Ljunggren, H M; Lodato, D F; Loenne, P I; Loggins, V R; Loginov, V; Loizides, C; Lopez, X; Torres, E López; Lowe, A; Lu, X-G; Luettig, P; Lunardon, M; Luparello, G; Maevskaya, A; Mager, M; Mahajan, S; Mahmood, S M; Maire, A; Majka, R D; Malaev, M; Cervantes, I Maldonado; Malinina, L; Mal'Kevich, D; Malzacher, P; Mamonov, A; Manceau, L; Manko, V; Manso, F; Manzari, V; Marchisone, M; Mareš, J; Margagliotti, G V; Margotti, A; Margutti, J; Marín, A; Markert, C; Marquard, M; Martin, N A; Blanco, J Martin; Martinengo, P; Martínez, M I; Martínez García, G; Pedreira, M Martinez; Martynov, Y; Mas, A; Masciocchi, S; Masera, M; Masoni, A; Massacrier, L; Mastroserio, A; Masui, H; Matyja, A; Mayer, C; Mazer, J; Mazzoni, M A; Mcdonald, D; Meddi, F; Menchaca-Rocha, A; Meninno, E; Pérez, J Mercado; Meres, M; Miake, Y; Mieskolainen, M M; Mikhaylov, K; Milano, L; Milosevic, J; Minervini, L M; Mischke, A; Mishra, A N; Miśkowiec, D; Mitra, J; Mitu, C M; Mohammadi, N; Mohanty, B; Molnar, L; Zetina, L Montaño; Montes, E; Morando, M; Godoy, D A Moreira De; Moretto, S; Morreale, A; Morsch, A; Muccifora, V; Mudnic, E; Mühlheim, D; Muhuri, S; Mukherjee, M; Müller, H; Mulligan, J D; Munhoz, M G; Murray, S; Musa, L; Musinsky, J; Nandi, B K; Nania, R; Nappi, E; Naru, M U; Nattrass, C; Nayak, K; Nayak, T K; Nazarenko, S; Nedosekin, A; Nellen, L; Ng, F; Nicassio, M; Niculescu, M; Niedziela, J; Nielsen, B S; Nikolaev, S; Nikulin, S; Nikulin, V; Noferini, F; Nomokonov, P; Nooren, G; Norman, J; Nyanin, A; Nystrand, J; Oeschler, H; Oh, S; Oh, S K; Ohlson, A; Okatan, A; Okubo, T; Olah, L; Oleniacz, J; Silva, A C Oliveira Da; Oliver, M H; Onderwaater, J; Oppedisano, C; Velasquez, A Ortiz; Oskarsson, A; Otwinowski, J; Oyama, K; Ozdemir, M; Pachmayer, Y; Pagano, P; Paić, G; Pajares, C; Pal, S K; Pan, J; Pandey, A K; Pant, D; Papikyan, V; Pappalardo, G S; Pareek, P; Park, W J; Parmar, S; 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Riggi, F; Ristea, C; Rivetti, A; Rocco, E; Cahuantzi, M Rodríguez; Manso, A Rodriguez; Røed, K; Rogochaya, E; Rohr, D; Röhrich, D; Romita, R; Ronchetti, F; Ronflette, L; Rosnet, P; Rossi, A; Roukoutakis, F; Roy, A; Roy, C; Roy, P; Montero, A J Rubio; Rui, R; Russo, R; Ryabinkin, E; Ryabov, Y; Rybicki, A; Sadovsky, S; Šafařík, K; Sahlmuller, B; Sahoo, P; Sahoo, R; Sahoo, S; Sahu, P K; Saini, J; Sakai, S; Saleh, M A; Salgado, C A; Salzwedel, J; Sambyal, S; Samsonov, V; Castro, X Sanchez; Šándor, L; Sandoval, A; Sano, M; Santagati, G; Sarkar, D; Scapparone, E; Scarlassara, F; Scharenberg, R P; Schiaua, C; Schicker, R; Schmidt, C; Schmidt, H R; Schuchmann, S; Schukraft, J; Schulc, M; Schuster, T; Schutz, Y; Schwarz, K; Schweda, K; Scioli, G; Scomparin, E; Scott, R; Seeder, K S; Seger, J E; Sekiguchi, Y; Selyuzhenkov, I; Senosi, K; Seo, J; Serradilla, E; Sevcenco, A; Shabanov, A; Shabetai, A; Shadura, O; Shahoyan, R; Shangaraev, A; Sharma, A; Sharma, N; Shigaki, K; Shtejer, K; Sibiriak, Y; 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The measurement of primary [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] production at mid-rapidity ([Formula: see text] 0.5) in proton-proton collisions at [Formula: see text][Formula: see text] 7 TeV performed with a large ion collider experiment at the large hadron collider (LHC) is reported. Particle identification is performed using the specific ionisation energy-loss and time-of-flight information, the ring-imaging Cherenkov technique and the kink-topology identification of weak decays of charged kaons. Transverse momentum spectra are measured from 0.1 up to 3 GeV/[Formula: see text] for pions, from 0.2 up to 6 GeV/[Formula: see text] for kaons and from 0.3 up to 6 GeV/[Formula: see text] for protons. The measured spectra and particle ratios are compared with quantum chromodynamics-inspired models, tuned to reproduce also the earlier measurements performed at the LHC. Furthermore, the integrated particle yields and ratios as well as the average transverse momenta are compared with results at lower collision energies.

Enriching text with images and colored light

Science.gov (United States)

Sekulovski, Dragan; Geleijnse, Gijs; Kater, Bram; Korst, Jan; Pauws, Steffen; Clout, Ramon

2008-01-01

We present an unsupervised method to enrich textual applications with relevant images and colors. The images are collected by querying large image repositories and subsequently the colors are computed using image processing. A prototype system based on this method is presented where the method is applied to song lyrics. In combination with a lyrics synchronization algorithm the system produces a rich multimedia experience. In order to identify terms within the text that may be associated with images and colors, we select noun phrases using a part of speech tagger. Large image repositories are queried with these terms. Per term representative colors are extracted using the collected images. Hereto, we either use a histogram-based or a mean shift-based algorithm. The representative color extraction uses the non-uniform distribution of the colors found in the large repositories. The images that are ranked best by the search engine are displayed on a screen, while the extracted representative colors are rendered on controllable lighting devices in the living room. We evaluate our method by comparing the computed colors to standard color representations of a set of English color terms. A second evaluation focuses on the distance in color between a queried term in English and its translation in a foreign language. Based on results from three sets of terms, a measure of suitability of a term for color extraction based on KL Divergence is proposed. Finally, we compare the performance of the algorithm using either the automatically indexed repository of Google Images and the manually annotated Flickr.com. Based on the results of these experiments, we conclude that using the presented method we can compute the relevant color for a term using a large image repository and image processing.

Analyzing Idioms and Their Frequency in Three Advanced ILI Textbooks: A Corpus-Based Study

Science.gov (United States)

Alavi, Sepideh; Rajabpoor, Aboozar

2015-01-01

The present study aimed at identifying and quantifying the idioms used in three ILI "Advanced" level textbooks based on three different English corpora; MICASE, BNC and the Brown Corpus, and comparing the frequencies of the idioms across the three corpora. The first step of the study involved searching the books to find multi-word…

Anterior Urethral Advancement in Repair of Hypospadias: A ...

African Journals Online (AJOL)

xp

meticulous dissection was performed to free the two penile skin flaps from the spongy urethra which was then dissected and mobilized from the groove formed by the two corpora cavernosa of the penis starting at the midpenile area .Special care should be taken during the dissection to avoid injury to corpora cavernosa, that ...

Text Messaging, Pragmatic Competence, and Affective Facilitation in the EFL Context: A Pilot Study

Science.gov (United States)

Haggan, Madeline

2010-01-01

Since text messaging is a widely popular method of communication among young people, the paper tries to investigate whether it might have some practical application in the EFL classroom. Kuwaiti EFL students asked to render a mixture of text messages written by their peers and native English speakers into Standard English produced a large number…

When Compelled to FB around Academic Texts: Postgraduate Students Reflected on Their Online Experience

Science.gov (United States)

Abdullah, Sarimah Shaik; Yaacob, Aizan; Rahim, Fauziah Abdul

2013-01-01

Purpose: This paper is part of a larger study which explored postgraduate students talk around academic texts via Facebook (FB). Our exploration is largely guided by the idea of reading as a social practice. In this paper, we specifically focus on the students' reflections of their online experience of talking around academic texts. Method: The…

The recent research progress on the J-TEXT tokamak

International Nuclear Information System (INIS)

Wang, Z.J.; Zhuang, G.; Gentle, K.W.

2013-01-01

The recent research progress on the J-TEXT tokamak is introduced. The interaction between resonant magnetic perturbations (RMPs) and plasma have been carried out on the J-TEXT tokamak and the results show that the m/n = 2/1 (m and n are the poloidal and toroidal mode numbers, respectively) mode locking is obtained with sufficiently large RMPs while suppression of the m/n = 2/1 tearing mode by moderate magnetic perturbation amplitude is also observed. With a model based on reduced magnetohydrodynamics (MHD) equations, both the mode locking and mode suppression by RMPs are simulated and the results are in good agreement with the experimental observations. To observe the current profile, a high resolution three-wave far infrared polarimeter/interferometer is set up and the first results indicate it works well. (author)

[Erectile function and ablative surgery of penile tumors].

Science.gov (United States)

Pisani, E; Austoni, E; Trinchieri, A; Ceresoli, A; Mantovani, F; Colombo, F; Mastromarino, G; Vecchio, D; Canclini, L; Fenice, O

1994-02-01

The Authors try to show the possibility to combine radical excision with minimal invasiveness in the surgery of penile cancer. The focal point of every therapeutic decision is correct clinical staging. Unfortunately there's some confusion in the two international staging systems (TNM and Jackson's classification). In fact it's not clear the anatomical difference between epithelioma of the glans infiltrating corpus spongiosum and subcoronary epithelioma of the shaft infiltrating the corpora cavernosa. It's obvious that the infiltration of the corpora cavernosa is a far more aggressive oncological manifestation than that of tumour infiltrating the corpus spongiosum. So we consider Jackson's classification more congenial. In terms of surgery this anatomical independence makes it easy to consider the corpora cavernosa as a distinct entity, so they remain perfectly functional when separated from the glandulo-spongio-urethral unit with its vasculo-nervous bundle. This makes conservation of the erectile function, when clinical staging show us that the tumour is not infiltrating the corpora cavernosa. The Authors show their results, which seem to be rather good.

From Word Alignment to Word Senses, via Multilingual Wordnets

Directory of Open Access Journals (Sweden)

Dan Tufis

2006-05-01

Full Text Available Most of the successful commercial applications in language processing (text and/or speech dispense with any explicit concern on semantics, with the usual motivations stemming from the computational high costs required for dealing with semantics, in case of large volumes of data. With recent advances in corpus linguistics and statistical-based methods in NLP, revealing useful semantic features of linguistic data is becoming cheaper and cheaper and the accuracy of this process is steadily improving. Lately, there seems to be a growing acceptance of the idea that multilingual lexical ontologisms might be the key towards aligning different views on the semantic atomic units to be used in characterizing the general meaning of various and multilingual documents. Depending on the granularity at which semantic distinctions are necessary, the accuracy of the basic semantic processing (such as word sense disambiguation can be very high with relatively low complexity computing. The paper substantiates this statement by presenting a statistical/based system for word alignment and word sense disambiguation in parallel corpora. We describe a word alignment platform which ensures text pre-processing (tokenization, POS-tagging, lemmatization, chunking, sentence and word alignment as required by an accurate word sense disambiguation.

Improving e-book access via a library-developed full-text search tool*

Science.gov (United States)

Foust, Jill E.; Bergen, Phillip; Maxeiner, Gretchen L.; Pawlowski, Peter N.

2007-01-01

Purpose: This paper reports on the development of a tool for searching the contents of licensed full-text electronic book (e-book) collections. Setting: The Health Sciences Library System (HSLS) provides services to the University of Pittsburgh's medical programs and large academic health system. Brief Description: The HSLS has developed an innovative tool for federated searching of its e-book collections. Built using the XML-based Vivísimo development environment, the tool enables a user to perform a full-text search of over 2,500 titles from the library's seven most highly used e-book collections. From a single “Google-style” query, results are returned as an integrated set of links pointing directly to relevant sections of the full text. Results are also grouped into categories that enable more precise retrieval without reformulation of the search. Results/Evaluation: A heuristic evaluation demonstrated the usability of the tool and a web server log analysis indicated an acceptable level of usage. Based on its success, there are plans to increase the number of online book collections searched. Conclusion: This library's first foray into federated searching has produced an effective tool for searching across large collections of full-text e-books and has provided a good foundation for the development of other library-based federated searching products. PMID:17252065

User Collaboration for Improving Access to Historical Texts

Directory of Open Access Journals (Sweden)

Clemens Neudecker

2010-08-01

Full Text Available The paper will describe how web-based collaboration tools can engage users in the building of historical printed text resources created by mass digitisation projects. The drivers for developing such tools will be presented, identifying the benefits that can be derived for both the user community and cultural heritage institutions. The perceived risks, such as new errors introduced by the users, and the limitations of engaging with users in this way will be set out with the lessons that can be learned from existing activities, such as the National Library of Australia's newspaper website which supports collaborative correction of Optical Character Recognition (OCR output. The paper will present the work of the IMPACT (Improving Access to Text project, a large-scale integrating project funded by the European Commission as part of the Seventh Framework Programme (FP7. One of the aims of the project is to develop tools that help improve OCR results for historical printed texts, specifically those works published before the industrial production of books from the middle of the 19th century. Technological improvements to image processing and OCR engine technology are vital to improving access to historic text, but engaging the user community also has an important role to play. Utilising the intended user can help achieve the levels of accuracy currently found in born-digital materials. Improving OCR results will allow for better resource discovery and enhance performance by text mining and accessibility tools. The IMPACT project will specifically develop a tool that supports collaborative correction and validation of OCR results and a tool to allow user involvement in building historical dictionaries which can be used to validate word recognition. The technologies use the characteristics of human perception as a basis for error detection.

L2 write assistants and context-aware dictionaries: New challenges to lexicography

DEFF Research Database (Denmark)

Tarp, Sven; Fisker, Kasper; Sepstrup, Peter

2017-01-01

Dictionaries are increasingly integrated into other tools designed to assist the reading, writing and translation of texts. Write Assistant is a newly developed tool aimed at assisting people writing in a second language. It feeds on big data taken in from corpora and digital dictionaries...... dictionaries need to be conceptionally adapted to the specific tool in order to optimize the service. All this poses new challenges to lexicography....

INVECTIVES AS ANTHROP METAPHORS (ON THE EXAMPLE OF THE LEXEME "CUNT"

Directory of Open Access Journals (Sweden)

GOLODNAYA V.N.

2015-01-01

Full Text Available The article is devoted to some formats and contexts of using the word "cunt" as an anthrop metaphors within the corpora approach. The metaphor gradation takes place in the framework of a binary opposition "We/Ours" - "They/Others", in which target groups referents are presented in a negative/positive way. The anthrop metaphor "cunt" is hypothesized to appear as a result of its emotive meaning's reconsideration.

Different Senses of Entropy—Implications for Education

Directory of Open Access Journals (Sweden)

Helge Strömdahl

2010-03-01

Full Text Available A challenge in the teaching of entropy is that the word has several different senses, which may provide an obstacle for communication. This study identifies five distinct senses of the word ‘entropy’, using the Principled Polysemy approach from the field of linguistics. A semantic network is developed of how the senses are related, using text excerpts from dictionaries, text books and text corpora. Educational challenges such as the existence of several formal senses of entropy and the intermediary position of entropy as disorder along the formal/non-formal scale are presented using a two-Dimensional Semiotic/semantic Analysing Schema (2-D SAS.

Assimilating Text-Mining & Bio-Informatics Tools to Analyze Cellulase structures

Science.gov (United States)

Satyasree, K. P. N. V., Dr; Lalitha Kumari, B., Dr; Jyotsna Devi, K. S. N. V.; Choudri, S. M. Roy; Pratap Joshi, K.

2017-08-01

Text-mining is one of the best potential way of automatically extracting information from the huge biological literature. To exploit its prospective, the knowledge encrypted in the text should be converted to some semantic representation such as entities and relations, which could be analyzed by machines. But large-scale practical systems for this purpose are rare. But text mining could be helpful for generating or validating predictions. Cellulases have abundant applications in various industries. Cellulose degrading enzymes are cellulases and the same producing bacteria - Bacillus subtilis & fungus Pseudomonas putida were isolated from top soil of Guntur Dt. A.P. India. Absolute cultures were conserved on potato dextrose agar medium for molecular studies. In this paper, we presented how well the text mining concepts can be used to analyze cellulase producing bacteria and fungi, their comparative structures are also studied with the aid of well-establised, high quality standard bioinformatic tools such as Bioedit, Swissport, Protparam, EMBOSSwin with which a complete data on Cellulases like structure, constituents of the enzyme has been obtained.

Automated Video Surveillance for the Study of Marine Mammal Behavior and Cognition

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Jeremy Karnowski

2016-11-01

Full Text Available Systems for detecting and tracking social marine mammals, including dolphins, can provide data to help explain their social dynamics, predict their behavior, and measure the impact of human interference. Data collected from video surveillance methods can be consistently and systematically sampled for studies of behavior, and frame-by-frame analyses can uncover insights impossible to observe from real-time, freely occurring natural behavior. Advances in boat-based, aerial, and underwater recording platforms provide opportunities to document the behavior of marine mammals and create massive datasets. The use of human experts to detect, track, identify individuals, and recognize activity in video demands significant time and financial investment. This paper examines automated methods designed to analyze large video corpora containing marine mammals. While research is converging on best solutions for some automated tasks, particularly detection and classification, many research domains are ripe for exploration.

Toward a universal decoder of linguistic meaning from brain activation.

Science.gov (United States)

Pereira, Francisco; Lou, Bin; Pritchett, Brianna; Ritter, Samuel; Gershman, Samuel J; Kanwisher, Nancy; Botvinick, Matthew; Fedorenko, Evelina

2018-03-06

Prior work decoding linguistic meaning from imaging data has been largely limited to concrete nouns, using similar stimuli for training and testing, from a relatively small number of semantic categories. Here we present a new approach for building a brain decoding system in which words and sentences are represented as vectors in a semantic space constructed from massive text corpora. By efficiently sampling this space to select training stimuli shown to subjects, we maximize the ability to generalize to new meanings from limited imaging data. To validate this approach, we train the system on imaging data of individual concepts, and show it can decode semantic vector representations from imaging data of sentences about a wide variety of both concrete and abstract topics from two separate datasets. These decoded representations are sufficiently detailed to distinguish even semantically similar sentences, and to capture the similarity structure of meaning relationships between sentences.

The potential of text mining in data integration and network biology for plant research: a case study on Arabidopsis.

Science.gov (United States)

Van Landeghem, Sofie; De Bodt, Stefanie; Drebert, Zuzanna J; Inzé, Dirk; Van de Peer, Yves

2013-03-01

Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of texts. However, only recently has advanced text mining methodology been implemented with sufficient computational power to process texts at a large scale. In this study, we assess the potential of large-scale text mining for plant biology research in general and for network biology in particular using a state-of-the-art text mining system applied to all PubMed abstracts and PubMed Central full texts. We present extensive evaluation of the textual data for Arabidopsis thaliana, assessing the overall accuracy of this new resource for usage in plant network analyses. Furthermore, we combine text mining information with both protein-protein and regulatory interactions from experimental databases. Clusters of tightly connected genes are delineated from the resulting network, illustrating how such an integrative approach is essential to grasp the current knowledge available for Arabidopsis and to uncover gene information through guilt by association. All large-scale data sets, as well as the manually curated textual data, are made publicly available, hereby stimulating the application of text mining data in future plant biology studies.

Computational text analysis and reading comprehension exam complexity towards automatic text classification

CERN Document Server

Liontou, Trisevgeni

2014-01-01

This book delineates a range of linguistic features that characterise the reading texts used at the B2 (Independent User) and C1 (Proficient User) levels of the Greek State Certificate of English Language Proficiency exams in order to help define text difficulty per level of competence. In addition, it examines whether specific reader variables influence test takers' perceptions of reading comprehension difficulty. The end product is a Text Classification Profile per level of competence and a formula for automatically estimating text difficulty and assigning levels to texts consistently and re

The text-critical and exegetical value of the Dead Sea Scrolls

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Johann Cook

2016-07-01

Full Text Available This article will analyse a number of Dead Sea manuscripts and/or fragments in order to determine their linguistic and exegetical value. The article will, firstly, address textual material that is largely in agreement with the Massoretic Text – 1QIsaa is a case in point. Secondly, fragmentsthat are seemingly less relevant will be discussed. The less helpful fragments from the Biblical books Proverbs and Job are taken as examples. Finally, highly significant textual differences, such as a fragment from Genesis 1 and one from the complicated books of Jeremiah, will be evaluated.

The Emdros Text Database Engine as a Platform for Persuasive Computing

DEFF Research Database (Denmark)

Sandborg-Petersen, Ulrik

2013-01-01

This paper describes the nature and scope of Emdros, a text database engine for annotated text. Three case-studies of persuasive learning systems using Emdros as an important architectural component are described, and their status as to participation in the three legs of BJ Fogg's Functional Triad...... of Persuasive Design is assessed. Various properties of Emdros are discussed, both with respect to competing systems, and with respect to the three case studies. It is argued that these properties together enable Emdros to form part of the foundation for a large class of systems whose primary function involves...

Large-group psychodynamics and massive violence

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Vamik D. Volkan

2006-06-01

Full Text Available Beginning with Freud, psychoanalytic theories concerning large groups have mainly focused on individuals' perceptions of what their large groups psychologically mean to them. This chapter examines some aspects of large-group psychology in its own right and studies psychodynamics of ethnic, national, religious or ideological groups, the membership of which originates in childhood. I will compare the mourning process in individuals with the mourning process in large groups to illustrate why we need to study large-group psychology as a subject in itself. As part of this discussion I will also describe signs and symptoms of large-group regression. When there is a threat against a large-group's identity, massive violence may be initiated and this violence in turn, has an obvious impact on public health.

Sequence spaces [Formula: see text] and [Formula: see text] with application in clustering.

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Khan, Mohd Shoaib; Alamri, Badriah As; Mursaleen, M; Lohani, Qm Danish

2017-01-01

Distance measures play a central role in evolving the clustering technique. Due to the rich mathematical background and natural implementation of [Formula: see text] distance measures, researchers were motivated to use them in almost every clustering process. Beside [Formula: see text] distance measures, there exist several distance measures. Sargent introduced a special type of distance measures [Formula: see text] and [Formula: see text] which is closely related to [Formula: see text]. In this paper, we generalized the Sargent sequence spaces through introduction of [Formula: see text] and [Formula: see text] sequence spaces. Moreover, it is shown that both spaces are BK -spaces, and one is a dual of another. Further, we have clustered the two-moon dataset by using an induced [Formula: see text]-distance measure (induced by the Sargent sequence space [Formula: see text]) in the k-means clustering algorithm. The clustering result established the efficacy of replacing the Euclidean distance measure by the [Formula: see text]-distance measure in the k-means algorithm.

Stemming Malay Text and Its Application in Automatic Text Categorization

Science.gov (United States)

Yasukawa, Michiko; Lim, Hui Tian; Yokoo, Hidetoshi

In Malay language, there are no conjugations and declensions and affixes have important grammatical functions. In Malay, the same word may function as a noun, an adjective, an adverb, or, a verb, depending on its position in the sentence. Although extensively simple root words are used in informal conversations, it is essential to use the precise words in formal speech or written texts. In Malay, to make sentences clear, derivative words are used. Derivation is achieved mainly by the use of affixes. There are approximately a hundred possible derivative forms of a root word in written language of the educated Malay. Therefore, the composition of Malay words may be complicated. Although there are several types of stemming algorithms available for text processing in English and some other languages, they cannot be used to overcome the difficulties in Malay word stemming. Stemming is the process of reducing various words to their root forms in order to improve the effectiveness of text processing in information systems. It is essential to avoid both over-stemming and under-stemming errors. We have developed a new Malay stemmer (stemming algorithm) for removing inflectional and derivational affixes. Our stemmer uses a set of affix rules and two types of dictionaries: a root-word dictionary and a derivative-word dictionary. The use of set of rules is aimed at reducing the occurrence of under-stemming errors, while that of the dictionaries is believed to reduce the occurrence of over-stemming errors. We performed an experiment to evaluate the application of our stemmer in text mining software. For the experiment, text data used were actual web pages collected from the World Wide Web to demonstrate the effectiveness of our Malay stemming algorithm. The experimental results showed that our stemmer can effectively increase the precision of the extracted Boolean expressions for text categorization.

How voter mobilization from short text messages travels within households and families

DEFF Research Database (Denmark)

Bhatti, Yosef; Dahlgaard, Jens Olav; Hansen, Jonas Hedegaard

2017-01-01

Through two large GOTV field experiments in two different elections, we investigate the spillover effect to other household members and family members outside the household. We mobilized young voters with cell phone text messages, a campaign tactic unlikely to be observed by other persons than th...

More Effective Web Search Using Bigrams and Trigrams

OpenAIRE

Peter Vamplew; Vishv Malhotra; David Johnson

2006-01-01

This paper investigates the effectiveness of quoted bigrams and trigrams as query terms to target web search. Prior research in this area has largely focused on static corpora each containing only a few million documents, and has reported mixed (usually negative) results. We investigate the bigram/trigram extraction problem and present an extraction algorithm that shows promising results when applied to real-time web search. We also present a prototype augmented search software package that c...

Transfer Learning for Video Recognition with Scarce Training Data for Deep Convolutional Neural Network

OpenAIRE

Su, Yu-Chuan; Chiu, Tzu-Hsuan; Yeh, Chun-Yen; Huang, Hsin-Fu; Hsu, Winston H.

2014-01-01

Unconstrained video recognition and Deep Convolution Network (DCN) are two active topics in computer vision recently. In this work, we apply DCNs as frame-based recognizers for video recognition. Our preliminary studies, however, show that video corpora with complete ground truth are usually not large and diverse enough to learn a robust model. The networks trained directly on the video data set suffer from significant overfitting and have poor recognition rate on the test set. The same lack-...

New baseline correction algorithm for text-line recognition with bidirectional recurrent neural networks

Science.gov (United States)

Morillot, Olivier; Likforman-Sulem, Laurence; Grosicki, Emmanuèle

2013-04-01

Many preprocessing techniques have been proposed for isolated word recognition. However, recently, recognition systems have dealt with text blocks and their compound text lines. In this paper, we propose a new preprocessing approach to efficiently correct baseline skew and fluctuations. Our approach is based on a sliding window within which the vertical position of the baseline is estimated. Segmentation of text lines into subparts is, thus, avoided. Experiments conducted on a large publicly available database (Rimes), with a BLSTM (bidirectional long short-term memory) recurrent neural network recognition system, show that our baseline correction approach highly improves performance.

Text Mining to Support Gene Ontology Curation and Vice Versa.

Science.gov (United States)

Ruch, Patrick

2017-01-01

In this chapter, we explain how text mining can support the curation of molecular biology databases dealing with protein functions. We also show how curated data can play a disruptive role in the developments of text mining methods. We review a decade of efforts to improve the automatic assignment of Gene Ontology (GO) descriptors, the reference ontology for the characterization of genes and gene products. To illustrate the high potential of this approach, we compare the performances of an automatic text categorizer and show a large improvement of +225 % in both precision and recall on benchmarked data. We argue that automatic text categorization functions can ultimately be embedded into a Question-Answering (QA) system to answer questions related to protein functions. Because GO descriptors can be relatively long and specific, traditional QA systems cannot answer such questions. A new type of QA system, so-called Deep QA which uses machine learning methods trained with curated contents, is thus emerging. Finally, future advances of text mining instruments are directly dependent on the availability of high-quality annotated contents at every curation step. Databases workflows must start recording explicitly all the data they curate and ideally also some of the data they do not curate.

Optimization theory for large systems

CERN Document Server

Lasdon, Leon S

2002-01-01

Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how large-scale mathematical programs arise from real-world problems. Appendixes. List of Symbols.

Automated Analysis of Corpora Callosa

DEFF Research Database (Denmark)

Stegmann, Mikkel Bille; Davies, Rhodri H.

2003-01-01

This report describes and evaluates the steps needed to perform modern model-based interpretation of the corpus callosum in MRI. The process is discussed from the initial landmark-free contours to full-fledged statistical models based on the Active Appearance Models framework. Topics treated incl...... include landmark placement, background modelling and multi-resolution analysis. Preliminary quantitative and qualitative validation in a cross-sectional study show that fully automated analysis and segmentation of the corpus callosum are feasible....

Linguistic Corpora and Language Teaching.

Science.gov (United States)

Murison-Bowie, Simon

1996-01-01

Examines issues raised by corpus linguistics concerning the description of language. The article argues that it is necessary to start from correct descriptions of linguistic units and the contexts in which they occur. Corpus linguistics has joined with language teaching by sharing a recognition of the importance of a larger, schematic view of…

XML and Free Text.

Science.gov (United States)

Riggs, Ken Roger

2002-01-01

Discusses problems with marking free text, text that is either natural language or semigrammatical but unstructured, that prevent well-formed XML from marking text for readily available meaning. Proposes a solution to mark meaning in free text that is consistent with the intended simplicity of XML versus SGML. (Author/LRW)

Measuring happiness in large population

Science.gov (United States)

Wenas, Annabelle; Sjahputri, Smita; Takwin, Bagus; Primaldhi, Alfindra; Muhamad, Roby

2016-01-01

The ability to know emotional states for large number of people is important, for example, to ensure the effectiveness of public policies. In this study, we propose a measure of happiness that can be used in large scale population that is based on the analysis of Indonesian language lexicons. Here, we incorporate human assessment of Indonesian words, then quantify happiness on large-scale of texts gathered from twitter conversations. We used two psychological constructs to measure happiness: valence and arousal. We found that Indonesian words have tendency towards positive emotions. We also identified several happiness patterns during days of the week, hours of the day, and selected conversation topics.

Motif-Based Text Mining of Microbial Metagenome Redundancy Profiling Data for Disease Classification.

Science.gov (United States)

Wang, Yin; Li, Rudong; Zhou, Yuhua; Ling, Zongxin; Guo, Xiaokui; Xie, Lu; Liu, Lei

2016-01-01

Text data of 16S rRNA are informative for classifications of microbiota-associated diseases. However, the raw text data need to be systematically processed so that features for classification can be defined/extracted; moreover, the high-dimension feature spaces generated by the text data also pose an additional difficulty. Here we present a Phylogenetic Tree-Based Motif Finding algorithm (PMF) to analyze 16S rRNA text data. By integrating phylogenetic rules and other statistical indexes for classification, we can effectively reduce the dimension of the large feature spaces generated by the text datasets. Using the retrieved motifs in combination with common classification methods, we can discriminate different samples of both pneumonia and dental caries better than other existing methods. We extend the phylogenetic approaches to perform supervised learning on microbiota text data to discriminate the pathological states for pneumonia and dental caries. The results have shown that PMF may enhance the efficiency and reliability in analyzing high-dimension text data.

Pinpointing Needles in Giant Haystacks: Use of Text Mining to Reduce Impractical Screening Workload in Extremely Large Scoping Reviews

Science.gov (United States)

Shemilt, Ian; Simon, Antonia; Hollands, Gareth J.; Marteau, Theresa M.; Ogilvie, David; O'Mara-Eves, Alison; Kelly, Michael P.; Thomas, James

2014-01-01

In scoping reviews, boundaries of relevant evidence may be initially fuzzy, with refined conceptual understanding of interventions and their proposed mechanisms of action an intended output of the scoping process rather than its starting point. Electronic searches are therefore sensitive, often retrieving very large record sets that are…