WorldWideScience

Sample records for textes generaux decret

  1. J.O. no. 10 of the 13 january 2004, page 991, text no. 14. Decrees, orders. General texts. Decree no. 2004-47 of the 12 january 2004 modifying the decree no. 96-978 of the 31 october 1996 relative to the creation of the nuclear installation no. 162 named EL4-D, installation of storage for the Monts d'Arree power plants materials; J.O. no. 10 du 13 janvier 2004, page 991, texte no. 14. Decrets, arretes, circulaires. Textes generaux. Decret no. 2004-47 du 12 janvier 2004 modifiant le decret no. 96-978 du 31 octobre 1996 relatif a la creation de l'installation nucleaire de base no. 162 denommee EL4-D, installation d'entreposage de materiels de la centrale nucleaire des monts d'Arree

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2004-06-01

    The reactor EL4, implemented in december 1966, has definitely shutdown on the 31 july 1985. This reactor was an industrial prototype, built and exploited by Cea and EDF. In the framework of the partial dismantling of the installation, the decree 96-978 of the 31 october 1996 agreed the Cea to modify the installation to become a storage installation. (A.L.B.)

  2. Texting

    Science.gov (United States)

    Tilley, Carol L.

    2009-01-01

    With the increasing ranks of cell phone ownership is an increase in text messaging, or texting. During 2008, more than 2.5 trillion text messages were sent worldwide--that's an average of more than 400 messages for every person on the planet. Although many of the messages teenagers text each day are perhaps nothing more than "how r u?" or "c u…

  3. Line-driven ablation of circumstellar discs - I. Optically thin decretion discs of classical Oe/Be stars.

    Science.gov (United States)

    Kee, Nathaniel Dylan; Owocki, Stanley; Sundqvist, J O

    2016-05-21

    The extreme luminosities of massive, hot OB stars drive strong stellar winds through line-scattering of the star's UV continuum radiation. For OB stars with an orbiting circumstellar disc, we explore here the effect of such line-scattering in driving an ablation of material from the disc's surface layers, with initial focus on the marginally optically thin decretion discs of classical Oe and Be stars. For this we apply a multidimensional radiation-hydrodynamics code that assumes simple optically thin ray tracing for the stellar continuum, but uses a multiray Sobolev treatment of the line transfer; this fully accounts for the efficient driving by non-radial rays, due to desaturation of line-absorption by velocity gradients associated with the Keplerian shear in the disc. Results show a dense, intermediate-speed surface ablation, consistent with the strong, blueshifted absorption of UV wind lines seen in Be shell stars that are observed from near the disc plane. A key overall result is that, after an initial adjustment to the introduction of the disc, the asymptotic disc destruction rate is typically just an order-unity factor times the stellar wind mass-loss rate. For optically thin Be discs, this leads to a disc destruction time of order months to years, consistent with observationally inferred disc decay times. The much stronger radiative forces of O stars reduce this time to order days, making it more difficult for decretion processes to sustain a disc in earlier spectral types, and so providing a natural explanation for the relative rarity of Oe stars in the Galaxy. Moreover, the decrease in line-driving at lower metallicity implies both a reduction in the winds that help spin-down stars from near-critical rotation, and a reduction in the ablation of any decretion disc; together these provide a natural explanation for the higher fraction of classical Be stars, as well as the presence of Oe stars, in the lower metallicity Magellanic Clouds. We conclude with a

  4. LES PRINCIPES GENERAUX APPLICABLES À LA DÉVOLUTION SUCCESSORALE LEGALE ET LES EXCEPTIONS DE CES PRINCIPES

    Directory of Open Access Journals (Sweden)

    Dumitru MACOVEI

    2006-09-01

    Full Text Available Starting from the fact that in the Romanian civil Code, the inheritance or the succession is seen as a way of obtaining and of transmitting the property right, the author examines the general principles applicable to the legal successional devolution:a the principle of priority class of heirs; b the principle of proximity of rank of kindred; c the principle of dividing the succession in equal parts between the relatives of the same rank.

  5. 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…

  6. Legal Regulations of Activities of Vladikavkaz High Court Division VTSIK during the Transition of Extreme-Decretive to Codified Law (1921–1923

    Directory of Open Access Journals (Sweden)

    Tatyana G. Sudakova

    2014-09-01

    Full Text Available The article deals with legal foundations of extreme justice system since 1917 to 1923 and the issues related to organization of Vladikavkaz High Court Division VTSIK. The research states, that after adoption and introduction of the PC and CPC in the judicial practice in 1922, the centralized control over high courts was enhanced.

  7. 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.

  8. 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)

  9. 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…

  10. E-text

    DEFF Research Database (Denmark)

    Finnemann, Niels Ole

    2018-01-01

    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...... (images, videos). Thus, a basic question is this: should electronic text be included in the expanded notion of text as a new digital sign modality added to the repertoire of modalities, or should it be included as a sign modality, which is both an independent modality and a container in which other...

  11. Searching for text documents

    NARCIS (Netherlands)

    Hiemstra, Djoerd; Blanken, Henk; de Vries, A.P.; Blok, H.E.; Feng, L.

    2007-01-01

    Many documents contain, besides text, also images, tables, and so on. This chapter concentrates on the text part only. Traditionally, systems handling text documents are called information storage and retrieval systems. Before the World-Wide Web emerged, such systems were almost exclusively used by

  12. 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.

  13. The Vicissitudes of Text

    Directory of Open Access Journals (Sweden)

    Jonathan CULLER

    2003-06-01

    Full Text Available The concept of text, which has been central to literary studies, has undergone many mutations, as it has traveled from the work of classical philologists, for whom it was and is the object of a powerful disciplinary formation, to postmodern theorists of the text, for whom, the concept might be summed up by the title of a fine book by John Mowatt: Text: the Genealogy of an Antidisciplinary Object. Of course, the interesting thing about a travelling concept is not that it travels — travelers, t...

  14. Instant Sublime Text starter

    CERN Document Server

    Haughee, Eric

    2013-01-01

    A starter which teaches the basic tasks to be performed with Sublime Text with the necessary practical examples and screenshots. This book requires only basic knowledge of the Internet and basic familiarity with any one of the three major operating systems, Windows, Linux, or Mac OS X. However, as Sublime Text 2 is primarily a text editor for writing software, many of the topics discussed will be specifically relevant to software development. That being said, the Sublime Text 2 Starter is also suitable for someone without a programming background who may be looking to learn one of the tools of

  15. E-text

    DEFF Research Database (Denmark)

    Finnemann, Niels Ole

    2018-01-01

    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....... This wider notion would include, for instance, all sorts of scanning results, whether of the outer cosmos or the inner geographies of our bodies, and of digital traces of other processes in between these (machine readings included). Since alphabets, like the genetic alphabet, and all sorts of images may...

  16. Systematic text condensation

    DEFF Research Database (Denmark)

    Malterud, Kirsti

    2012-01-01

    To present background, principles, and procedures for a strategy for qualitative analysis called systematic text condensation and discuss this approach compared with related strategies.......To present background, principles, and procedures for a strategy for qualitative analysis called systematic text condensation and discuss this approach compared with related strategies....

  17. Linguistics in Text Interpretation

    DEFF Research Database (Denmark)

    Togeby, Ole

    2011-01-01

    A model for how text interpretation proceeds from what is pronounced, through what is said to what is comunicated, and definition of the concepts 'presupposition' and 'implicature'.......A model for how text interpretation proceeds from what is pronounced, through what is said to what is comunicated, and definition of the concepts 'presupposition' and 'implicature'....

  18. YORUBA, INTERMEDIATE TEXTS.

    Science.gov (United States)

    MCCLURE, H. DAVID; OYEWALE, JOHN O.

    THIS COURSE IS BASED ON A SERIES OF BRIEF MONOLOGUES RECORDED BY A WESTERN-EDUCATED NATIVE SPEAKER OF YORUBA FROM THE OYO AREA. THE TAPES CONSTITUTE THE CENTRAL PART OF THE COURSE, WITH THE TEXT INTENDED AS SUPPLEMENTARY AND AUXILIARY MATERIAL. THE TEXT TOPICS WERE CHOSEN FOR THEIR SPECIAL RELEVANCE TO PEACE CORPS VOLUNTEERS WHO EXPECT TO USE…

  19. Making Sense of Texts

    Science.gov (United States)

    Harper, Rebecca G.

    2014-01-01

    This article addresses the triadic nature regarding meaning construction of texts. Grounded in Rosenblatt's (1995; 1998; 2004) Transactional Theory, research conducted in an undergraduate Language Arts curriculum course revealed that when presented with unfamiliar texts, students used prior experiences, social interactions, and literary strategies…

  20. The Vicissitudes of Text

    OpenAIRE

    Culler, Jonathan

    2011-01-01

    The concept of text, which has been central to literary studies, has undergone many mutations, as it has traveled from the work of classical philologists, for whom it was and is the object of a powerful disciplinary formation, to postmodern theorists of the text, for whom, the concept might be summed up by the title of a fine book by John Mowatt: Text: the Genealogy of an Antidisciplinary Object. Of course, the interesting thing about a travelling concept is not that it travels — travelers, t...

  1. The Vicissitudes of Text

    OpenAIRE

    Culler, Jonathan

    2003-01-01

    The concept of text, which has been central to literary studies, has undergone many mutations, as it has traveled from the work of classical philologists, for whom it was and is the object of a powerful disciplinary formation, to postmodern theorists of the text, for whom, the concept might be summed up by the title of a fine book by John Mowatt: Text: the Genealogy of an Antidisciplinary Object. Of course, the interesting thing about a travelling concept is not that it travels — travelers, t...

  2. Text, Hypertext, and Hyperfiction

    Directory of Open Access Journals (Sweden)

    Ladan Modir

    2014-03-01

    Full Text Available This article briefly surveys the changing theoretical perspectives on text from structuralism to poststructuralism and how they are subsequently accounted for by hypertext theorists to comprehend the emerging genre called hypertext fiction. Some theoretical issues concerning the reading of this genre also will be discussed. The purpose of this study is to illustrate that the radical promises and challenges of digital novels to readers would prove reading and interpretation of conventional texts are far more participatory. This will be accomplished by tracing the evolution of poststructuralists’ concepts of intertextuality, multivocality, decentering, multilinearity, disorientation, and interactivity to find a way out of constant notions of conventional principles of reading.

  3. Texting on the Move

    Science.gov (United States)

    ... about when and where we text. What's the Big Deal? The problem is multitasking. No matter how ... person again. Reviewed by: Mary L. Gavin, MD Date reviewed: October 2013 More on this topic for: ...

  4. Machine Translation from Text

    Science.gov (United States)

    Habash, Nizar; Olive, Joseph; Christianson, Caitlin; McCary, John

    Machine translation (MT) from text, the topic of this chapter, is perhaps the heart of the GALE project. Beyond being a well defined application that stands on its own, MT from text is the link between the automatic speech recognition component and the distillation component. The focus of MT in GALE is on translating from Arabic or Chinese to English. The three languages represent a wide range of linguistic diversity and make the GALE MT task rather challenging and exciting.

  5. Plagiarism in Academic Texts

    Directory of Open Access Journals (Sweden)

    Marta Eugenia Rojas-Porras

    2012-08-01

    Full Text Available The ethical and social responsibility of citing the sources in a scientific or artistic work is undeniable. This paper explores, in a preliminary way, academic plagiarism in its various forms. It includes findings based on a forensic analysis. The purpose of this paper is to raise awareness on the importance of considering these details when writing and publishing a text. Hopefully, this analysis may put the issue under discussion.

  6. Psychologically Motivated Text Mining

    OpenAIRE

    Shutova, Ekaterina; Lichtenstein, Patricia

    2016-01-01

    Natural language processing techniques are increasingly applied to identify social trends and predict behavior based on large text collections. Existing methods typically rely on surface lexical and syntactic information. Yet, research in psychology shows that patterns of human conceptualisation, such as metaphorical framing, are reliable predictors of human expectations and decisions. In this paper, we present a method to learn patterns of metaphorical framing from large text collections, us...

  7. Translation of Quantum Texts

    OpenAIRE

    Espinoza, Randall; Imbo, Tom; Lopata, Paul

    2004-01-01

    In the companion to this paper, we described a generalization of the deterministic quantum cloning process, called enscription, which utilizes entanglement in order to achieve the "copying" of (certain) sets of distinct quantum states which are not orthogonal, called texts. Here we provide a further generalization, called translation, which allows us to completely determine all translatable texts, and which displays an intimate relationship to the mathematical theory of graphs.

  8. The earliest medical texts.

    Science.gov (United States)

    Frey, E F

    The first civilization known to have had an extensive study of medicine and to leave written records of its practices and procedures was that of ancient Egypt. The oldest extant Egyptian medical texts are six papyri from the period between 2000 B.C. and 1500 B.C.: the Kahun Medical Papyrus, the Ramesseum IV and Ramesseum V Papyri, the Edwin Smith Surgical Papyrus, The Ebers Medical Papyrus and the Hearst Medical Papyrus. These texts, most of them based on older texts dating possibly from 3000 B.C., are comparatively free of the magician's approach to treating illness. Egyptian medicine influenced the medicine of neighboring cultures, including the culture of ancient Greece. From Greece, its influence spread onward, thereby affecting Western civilization significantly.

  9. 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...

  10. Text analysis in R

    NARCIS (Netherlands)

    Welbers, K.; van Atteveldt, W.H.; Benoit, K.

    2017-01-01

    Computational text analysis has become an exciting research field with many applications in communication research. It can be a difficult method to apply, however, because it requires knowledge of various techniques, and the software required to perform most of these techniques is not readily

  11. 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

  12. Texts On-Line.

    Science.gov (United States)

    Thomas, Jean-Jacques

    1993-01-01

    Maintains that the study of signs is divided between those scholars who use the Saussurian binary sign (semiology) and those who prefer the Peirce tripartite sign (semiotics). Concludes that neither the Saussurian nor Peircian analysis methods can produce a semiotic interpretation based on a hierarchy of the text's various components. (CFR)

  13. Dictionaries for text production

    DEFF Research Database (Denmark)

    Fuertes-Olivera, Pedro; Bergenholtz, Henning

    2018-01-01

    and free online dictionaries. The Diccionario español para la producción de textos is an example of a general text production dictionary that makes use of internet technologies, is based on a lexicographic theory, contains all the lexicographic data that users need in a production situation, and aims...

  14. Content Based Text Handling.

    Science.gov (United States)

    Schwarz, Christoph

    1990-01-01

    Gives an overview of various linguistic software tools in the field of intelligent text handling that are being developed in Germany utilizing artificial intelligence techniques in the field of natural language processing. Syntactical analysis of documents is described and application areas are discussed. (10 references) (LRW)

  15. Text, Hypertext, and Hyperfiction

    OpenAIRE

    Ladan Modir; Ling C Guan; Sohaimi Bin Abdul Aziz

    2014-01-01

    This article briefly surveys the changing theoretical perspectives on text from structuralism to poststructuralism and how they are subsequently accounted for by hypertext theorists to comprehend the emerging genre called hypertext fiction. Some theoretical issues concerning the reading of this genre also will be discussed. The purpose of this study is to illustrate that the radical promises and challenges of digital n...

  16. E-text

    DEFF Research Database (Denmark)

    Finnemann, Niels Ole

    2017-01-01

    of “text” or “printed text” as the point of departure. On the other hand, electronic 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......) processing rules as binary sequences manifested in the binary alphabet. This wider notion would include, for instance, all sorts of scanning results, whether of the outer cosmos or the inner geographies of our bodies, and of digital traces of other processes in between these (machine readings included......). Since alphabets, like the genetic alphabet, and all sorts of images may be represented in the binary alphabet, such materials will also belong to the textual universe within this definition. A more intriguing implication is that digital born materials may also include scripts and interactive features...

  17. Strategy as Texts

    DEFF Research Database (Denmark)

    Obed Madsen, Søren

    of the strategy into four categories. Second, the managers produce new texts based on the original strategy document by using four different ways of translation models. The study’s findings contribute to three areas. Firstly, it shows that translation is more than a sociological process. It is also......This article shows empirically how managers translate a strategy plan at an individual level. By analysing how managers in three organizations translate strategies, it identifies that the translation happens in two steps: First, the managers decipher the strategy by coding the different parts...... a craftsmanship that requires knowledge and skills, which unfortunately seems to be overlooked in both the literature and in practice. Secondly, it shows that even though a strategy text is in singular, the translation makes strategy plural. Thirdly, the article proposes a way to open up the black box of what...

  18. Wisdom Texts and Philosophy

    Directory of Open Access Journals (Sweden)

    Anthony Preus

    2013-11-01

    Full Text Available The last essay of this issue concerns to a more "technical" subject: in many ancient cultures, literary monuments are mainly "wisdom literature". In these early works. Philosophy and Literature are more closely related than in many contemporary approaches. The author here tries to sketch the relationships between the ancient wisdom literatures of Egipt, Greece and Israel, and to show how this literary genre precedes "philosophy".

  19. Knowledge Based Text Generation

    Science.gov (United States)

    1989-08-01

    from data bases, so Kukich [1984] developed a system, ANA , which generates stock reports from a knowledge base of daily trading on the Dow Jones stock...MACHIAVELLI (topic organization and phraseology), CICERO (realization), FREUD (monitoring the origins of rhetorical plans), and LEIBNITZ (a "concept...68 Bossie and Mani 8 Alla Fiera dell’est 37 brain 2 frame 29 Alshawi 49 Brown and Yule 51 amplification 38 Cambridge University 40 ANA 15 canned text 7

  20. Weaving with text

    DEFF Research Database (Denmark)

    Hagedorn-Rasmussen, Peter

    This paper explores how a school principal by means of practical authorship creates reservoirs of language that provide a possible context for collective sensemaking. The paper draws upon a field study in which a school principal, and his managerial team, was shadowed in a period of intensive cha...... changes. The paper explores how the manager weaves with text, extracted from stakeholders, administration, politicians, employees, public discourse etc., as a means of creating a new fabric, a texture, of diverse perspectives that aims for collective sensemaking....

  1. Ways students read texts

    Science.gov (United States)

    Wandersee, James H.

    College students responding to the Preferred Method of Study (PMOS) questionnaire explained how they approach reading a new textbook chapter for comprehension. Results indicated that a significant positive correlation exists between the number of passes a student makes at new textbook material and his/her college grade-point average. Women showed a significant preference for adopting a single method of study. Less than half of the students queried construct organizational tools such as outlines or diagrams as they study a textbook. Students said they would alter their textbook strategies in response to the type of test they expected significantly more often than they would for the type of subject matter being studied. Only 6% of the students said they make a conscious effort to link the new concepts in the text to prior knowledge. There was no discernable relationship between the study strategies undergraduate college students employ and their college grade level (freshman through senior).

  2. Interconnectedness und digitale Texte

    Directory of Open Access Journals (Sweden)

    Detlev Doherr

    2013-04-01

    Full Text Available Zusammenfassung Die multimedialen Informationsdienste im Internet werden immer umfangreicher und umfassender, wobei auch die nur in gedruckter Form vorliegenden Dokumente von den Bibliotheken digitalisiert und ins Netz gestellt werden. Über Online-Dokumentenverwaltungen oder Suchmaschinen können diese Dokumente gefunden und dann in gängigen Formaten wie z.B. PDF bereitgestellt werden. Dieser Artikel beleuchtet die Funktionsweise der Humboldt Digital Library, die seit mehr als zehn Jahren Dokumente von Alexander von Humboldt in englischer Übersetzung im Web als HDL (Humboldt Digital Library kostenfrei zur Verfügung stellt. Anders als eine digitale Bibliothek werden dabei allerdings nicht nur digitalisierte Dokumente als Scan oder PDF bereitgestellt, sondern der Text als solcher und in vernetzter Form verfügbar gemacht. Das System gleicht damit eher einem Informationssystem als einer digitalen Bibliothek, was sich auch in den verfügbaren Funktionen zur Auffindung von Texten in unterschiedlichen Versionen und Übersetzungen, Vergleichen von Absätzen verschiedener Dokumente oder der Darstellung von Bilden in ihrem Kontext widerspiegelt. Die Entwicklung von dynamischen Hyperlinks auf der Basis der einzelnen Textabsätze der Humboldt‘schen Werke in Form von Media Assets ermöglicht eine Nutzung der Programmierschnittstelle von Google Maps zur geographischen wie auch textinhaltlichen Navigation. Über den Service einer digitalen Bibliothek hinausgehend, bietet die HDL den Prototypen eines mehrdimensionalen Informationssystems, das mit dynamischen Strukturen arbeitet und umfangreiche thematische Auswertungen und Vergleiche ermöglicht. Summary The multimedia information services on Internet are becoming more and more comprehensive, even the printed documents are digitized and republished as digital Web documents by the libraries. Those digital files can be found by search engines or management tools and provided as files in usual formats as

  3. Automatic Text Summarization for Indonesian Language Using TextTeaser

    Science.gov (United States)

    Gunawan, D.; Pasaribu, A.; Rahmat, R. F.; Budiarto, R.

    2017-04-01

    Text summarization is one of the solution for information overload. Reducing text without losing the meaning not only can save time to read, but also maintain the reader’s understanding. One of many algorithms to summarize text is TextTeaser. Originally, this algorithm is intended to be used for text in English. However, due to TextTeaser algorithm does not consider the meaning of the text, we implement this algorithm for text in Indonesian language. This algorithm calculates four elements, such as title feature, sentence length, sentence position and keyword frequency. We utilize TextRank, an unsupervised and language independent text summarization algorithm, to evaluate the summarized text yielded by TextTeaser. The result shows that the TextTeaser algorithm needs more improvement to obtain better accuracy.

  4. 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…

  5. Improving text recognition by distinguishing scene and overlay text

    Science.gov (United States)

    Quehl, Bernhard; Yang, Haojin; Sack, Harald

    2015-02-01

    Video texts are closely related to the content of a video. They provide a valuable source for indexing and interpretation of video data. Text detection and recognition task in images or videos typically distinguished between overlay and scene text. Overlay text is artificially superimposed on the image at the time of editing and scene text is text captured by the recording system. Typically, OCR systems are specialized on one kind of text type. However, in video images both types of text can be found. In this paper, we propose a method to automatically distinguish between overlay and scene text to dynamically control and optimize post processing steps following text detection. Based on a feature combination a Support Vector Machine (SVM) is trained to classify scene and overlay text. We show how this distinction in overlay and scene text improves the word recognition rate. Accuracy of the proposed methods has been evaluated by using publicly available test data sets.

  6. 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.

  7. Classroom Texting in College Students

    Science.gov (United States)

    Pettijohn, Terry F.; Frazier, Erik; Rieser, Elizabeth; Vaughn, Nicholas; Hupp-Wilds, Bobbi

    2015-01-01

    A 21-item survey on texting in the classroom was given to 235 college students. Overall, 99.6% of students owned a cellphone and 98% texted daily. Of the 138 students who texted in the classroom, most texted friends or significant others, and indicate the reason for classroom texting is boredom or work. Students who texted sent a mean of 12.21…

  8. Text location in color documents

    Science.gov (United States)

    Jain, Anil K.; Namboodiri, Anoop M.; Jung, Keechul

    2003-01-01

    Many document images contain both text and non-text (images, line drawings, etc.) regions. An automatic segmentation of such an image into text and non-text regions is extremely useful in a variety of applications. Identification of text regions helps in text recognition applications, while the classification of an image into text and non-text regions helps in processing the individual regions differently in applications like page reproduction and printing. One of the main approaches to text detection is based on modeling the text as a texture. We present a method based on a combination of neural networks (texture-based) and connected component analysis to detect text in color documents with busy foreground and background. The proposed method achieves an accuracy of 96% (by area) on a test set of 40 documents.

  9. Text-Attentional Convolutional Neural Network for Scene Text Detection.

    Science.gov (United States)

    He, Tong; Huang, Weilin; Qiao, Yu; Yao, Jian

    2016-06-01

    Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature globally computed from a whole image component (patch), where the cluttered background information may dominate true text features in the deep representation. This leads to less discriminative power and poorer robustness. In this paper, we present a new system for scene text detection by proposing a novel text-attentional convolutional neural network (Text-CNN) that particularly focuses on extracting text-related regions and features from the image components. We develop a new learning mechanism to train the Text-CNN with multi-level and rich supervised information, including text region mask, character label, and binary text/non-text information. The rich supervision information enables the Text-CNN with a strong capability for discriminating ambiguous texts, and also increases its robustness against complicated background components. The training process is formulated as a multi-task learning problem, where low-level supervised information greatly facilitates the main task of text/non-text classification. In addition, a powerful low-level detector called contrast-enhancement maximally stable extremal regions (MSERs) is developed, which extends the widely used MSERs by enhancing intensity contrast between text patterns and background. This allows it to detect highly challenging text patterns, resulting in a higher recall. Our approach achieved promising results on the ICDAR 2013 data set, with an F-measure of 0.82, substantially improving the state-of-the-art results.

  10. 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…

  11. Text as Statistical Mechanics Object

    OpenAIRE

    Koroutchev, K.; Korutcheva, E.

    2008-01-01

    In this article we present a model of human written text based on statistical mechanics approach by deriving the potential energy for different parts of the text using large text corpus. We have checked the results numerically and found that the specific heat parameter effectively separates the closed class words from the specific terms used in the text.

  12. Text analysis devices, articles of manufacture, and text analysis methods

    Science.gov (United States)

    Turner, Alan E; Hetzler, Elizabeth G; Nakamura, Grant C

    2013-05-28

    Text analysis devices, articles of manufacture, and text analysis methods are described according to some aspects. In one aspect, a text analysis device includes processing circuitry configured to analyze initial text to generate a measurement basis usable in analysis of subsequent text, wherein the measurement basis comprises a plurality of measurement features from the initial text, a plurality of dimension anchors from the initial text and a plurality of associations of the measurement features with the dimension anchors, and wherein the processing circuitry is configured to access a viewpoint indicative of a perspective of interest of a user with respect to the analysis of the subsequent text, and wherein the processing circuitry is configured to use the viewpoint to generate the measurement basis.

  13. Text-Attentional Convolutional Neural Networks for Scene Text Detection.

    Science.gov (United States)

    He, Tong; Huang, Weilin; Qiao, Yu; Yao, Jian

    2016-03-28

    Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature computed globally from a whole image component (patch), where the cluttered background information may dominate true text features in the deep representation. This leads to less discriminative power and poorer robustness. In this work, we present a new system for scene text detection by proposing a novel Text-Attentional Convolutional Neural Network (Text-CNN) that particularly focuses on extracting text-related regions and features from the image components. We develop a new learning mechanism to train the Text-CNN with multi-level and rich supervised information, including text region mask, character label, and binary text/nontext information. The rich supervision information enables the Text-CNN with a strong capability for discriminating ambiguous texts, and also increases its robustness against complicated background components. The training process is formulated as a multi-task learning problem, where low-level supervised information greatly facilitates main task of text/non-text classification. In addition, a powerful low-level detector called Contrast- Enhancement Maximally Stable Extremal Regions (CE-MSERs) is developed, which extends the widely-used MSERs by enhancing intensity contrast between text patterns and background. This allows it to detect highly challenging text patterns, resulting in a higher recall. Our approach achieved promising results on the ICDAR 2013 dataset, with a F-measure of 0.82, improving the state-of-the-art results substantially.

  14. Supported eText: Assistive Technology through Text Transformations

    Science.gov (United States)

    Anderson-Inman, Lynne; Horney, Mark A.

    2007-01-01

    To gain meaningful access to the curriculum, students with reading difficulties must overcome substantial barriers imposed by the printed materials they are asked to read. Technology can assist students to overcome these challenges by enabling a shift from printed text to electronic text. By electronic text it means textual material read using a…

  15. 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

  16. Working with text tools, techniques and approaches for text mining

    CERN Document Server

    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...

  17. Text Association Analysis and Ambiguity in Text Mining

    Science.gov (United States)

    Bhonde, S. B.; Paikrao, R. L.; Rahane, K. U.

    2010-11-01

    Text Mining is the process of analyzing a semantically rich document or set of documents to understand the content and meaning of the information they contain. The research in Text Mining will enhance human's ability to process massive quantities of information, and it has high commercial values. Firstly, the paper discusses the introduction of TM its definition and then gives an overview of the process of text mining and the applications. Up to now, not much research in text mining especially in concept/entity extraction has focused on the ambiguity problem. This paper addresses ambiguity issues in natural language texts, and presents a new technique for resolving ambiguity problem in extracting concept/entity from texts. In the end, it shows the importance of TM in knowledge discovery and highlights the up-coming challenges of document mining and the opportunities it offers.

  18. 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.

  19. Multilingual Text Analysis for Text-to-Speech Synthesis

    CERN Document Server

    Sproat, R

    1996-01-01

    We present a model of text analysis for text-to-speech (TTS) synthesis based on (weighted) finite-state transducers, which serves as the text-analysis module of the multilingual Bell Labs TTS system. The transducers are constructed using a lexical toolkit that allows declarative descriptions of lexicons, morphological rules, numeral-expansion rules, and phonological rules, inter alia. To date, the model has been applied to eight languages: Spanish, Italian, Romanian, French, German, Russian, Mandarin and Japanese.

  20. Multilingual Text Analysis for Text-to-Speech Synthesis

    OpenAIRE

    Sproat, Richard

    1996-01-01

    We present a model of text analysis for text-to-speech (TTS) synthesis based on (weighted) finite-state transducers, which serves as the text-analysis module of the multilingual Bell Labs TTS system. The transducers are constructed using a lexical toolkit that allows declarative descriptions of lexicons, morphological rules, numeral-expansion rules, and phonological rules, inter alia. To date, the model has been applied to eight languages: Spanish, Italian, Romanian, French, German, Russian, ...

  1. Incremental semantics for propositional texts

    NARCIS (Netherlands)

    Vermeulen, C.F.M.

    In this paper we are concerned with the special requirements that a semantics of texts should meet. It is argued that a semantics of texts should be incremental and should satisfy the break in principle. We develop a semantics for propositional texts that satisfies these constraints. We will see

  2. Knowledge Representation in Travelling Texts

    DEFF Research Database (Denmark)

    Mousten, Birthe; Locmele, Gunta

    2014-01-01

    and the purpose of the text in a new context as well as on predefined parameters for text travel. For texts used in marketing and in technology, the question is whether culture-bound knowledge representation should be domesticated or kept as foreign elements, or should be mirrored or moulded—or should not travel...

  3. 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.

  4. 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.

  5. ParaText : scalable text modeling and analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Dunlavy, Daniel M.; Stanton, Eric T.; Shead, Timothy M.

    2010-06-01

    Automated processing, modeling, and analysis of unstructured text (news documents, web content, journal articles, etc.) is a key task in many data analysis and decision making applications. As data sizes grow, scalability is essential for deep analysis. In many cases, documents are modeled as term or feature vectors and latent semantic analysis (LSA) is used to model latent, or hidden, relationships between documents and terms appearing in those documents. LSA supplies conceptual organization and analysis of document collections by modeling high-dimension feature vectors in many fewer dimensions. While past work on the scalability of LSA modeling has focused on the SVD, the goal of our work is to investigate the use of distributed memory architectures for the entire text analysis process, from data ingestion to semantic modeling and analysis. ParaText is a set of software components for distributed processing, modeling, and analysis of unstructured text. The ParaText source code is available under a BSD license, as an integral part of the Titan toolkit. ParaText components are chained-together into data-parallel pipelines that are replicated across processes on distributed-memory architectures. Individual components can be replaced or rewired to explore different computational strategies and implement new functionality. ParaText functionality can be embedded in applications on any platform using the native C++ API, Python, or Java. The ParaText MPI Process provides a 'generic' text analysis pipeline in a command-line executable that can be used for many serial and parallel analysis tasks. ParaText can also be deployed as a web service accessible via a RESTful (HTTP) API. In the web service configuration, any client can access the functionality provided by ParaText using commodity protocols ... from standard web browsers to custom clients written in any language.

  6. 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.

  7. AHP 45: REVIEW: TIBETAN LITERARY GENRES, TEXTS, AND TEXT TYPES

    Directory of Open Access Journals (Sweden)

    Tricia Kehoe

    2017-03-01

    Full Text Available Intended as a follow-up to Cabezón and Jackson's groundbreaking Tibetan Literature: Studies in Genre (1996, Tibetan Literary Genres, Texts, and Text Types: From Genre Classification to Transformation aims to deepen our understandings of Tibetan literature by approaching Tibetan text types from systematic and historical perspectives. Growing out of a conference panel at the twelfth Tibetan Studies seminar, the book explores both pre-modern and contemporary genres, as well as issues of classification and methodologies. In doing so, this collection of essays edited by Jim Rheingans covers a great deal of new ground in terms of discussions of terminology, definitions, and the theoretical landscape pertaining to literature, genre, text boundaries, and typologies in the field of Tibetan literature. ...

  8. 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.

  9. 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

  10. Text Mining Applications and Theory

    CERN Document Server

    Berry, Michael W

    2010-01-01

    Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives.  The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning

  11. Hermeneutic reading of classic texts.

    Science.gov (United States)

    Koskinen, Camilla A-L; Lindström, Unni Å

    2013-09-01

    The purpose of this article is to broaden the understandinfg of the hermeneutic reading of classic texts. The aim is to show how the choice of a specific scientific tradition in conjunction with a methodological approach creates the foundation that clarifies the actual realization of the reading. This hermeneutic reading of classic texts is inspired by Gadamer's notion that it is the researcher's own research tradition and a clearly formulated theoretical fundamental order that shape the researcher's attitude towards texts and create the starting point that guides all reading, uncovering and interpretation. The researcher's ethical position originates in a will to openness towards what is different in the text and which constantly sets the researcher's preunderstanding and research tradition in movement. It is the researcher's attitude towards the text that allows the text to address, touch and arouse wonder. Through a flexible, lingering and repeated reading of classic texts, what is different emerges with a timeless value. The reading of classic texts is an act that may rediscover and create understanding for essential dimensions and of human beings' reality on a deeper level. The hermeneutic reading of classic texts thus brings to light constantly new possibilities of uncovering for a new envisioning and interpretation for a new understanding of the essential concepts and phenomena within caring science. © 2012 The Authors Scandinavian Journal of Caring Sciences © 2012 Nordic College of Caring Science.

  12. Texte et contre-texte en situation de diglossie

    OpenAIRE

    Carpanin Marimoutou, Jean-Claude

    2015-01-01

    Le texte en situation diglossique s'inscrit dans une relation dialogique conflictuelle indépassée qui produit le contre-texte et que le contre-texte reproduit en retour, déplaçant non pas le conflit, mais les pôles du conflit. Une vue d'ensemble de la littérature réunionnaise suffit à mettre en évidence ce jeu de miroir. Une étude des préfaces montre la conscience des producteurs de ce que le combat des textes cache d'enjeux et comment celui qui est posé comme Autre semble ne produire qu'une ...

  13. Zum Uebersetzen fachlicher Texte (On the Translation of Technical Texts)

    Science.gov (United States)

    Friederich, Wolf

    1975-01-01

    Reviews a 1974 East German publication on translation of scientific literature from Russian to German. Considers terminology, different standard levels of translation in East Germany, and other matters related to translation. (Text is in German.) (DH)

  14. 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.

  15. Free-Text Disease Classification

    Science.gov (United States)

    2011-09-01

    1-59593-597- 7. http://doi.acm.org/10.1145/1277741.1277889. [9] Ingo Feinerer. tm: Text Mining Package, 2011. http://tm.r-forge.r-project. org/. R...package version 0.5-6. [10] Duncan Temple Lang. r-cran-xml, 2011. [11] Ingo Feinerer, Kurt Hornik, and David Meyer. Text mining infrastructure in r

  16. Strategies for Translating Vocative Texts

    Directory of Open Access Journals (Sweden)

    Olga COJOCARU

    2014-12-01

    Full Text Available The paper deals with the linguistic and cultural elements of vocative texts and the techniques used in translating them by giving some examples of texts that are typically vocative (i.e. advertisements and instructions for use. Semantic and communicative strategies are popular in translation studies and each of them has its own advantages and disadvantages in translating vocative texts. The advantage of semantic translation is that it takes more account of the aesthetic value of the SL text, while communicative translation attempts to render the exact contextual meaning of the original text in such a way that both content and language are readily acceptable and comprehensible to the readership. Focus is laid on the strategies used in translating vocative texts, strategies that highlight and introduce a cultural context to the target audience, in order to achieve their overall purpose, that is to sell or persuade the reader to behave in a certain way. Thus, in order to do that, a number of advertisements from the field of cosmetics industry and electronic gadgets were selected for analysis. The aim is to gather insights into vocative text translation and to create new perspectives on this field of research, now considered a process of innovation and diversion, especially in areas as important as economy and marketing.

  17. Text Genres in Information Organization

    Science.gov (United States)

    Nahotko, Marek

    2016-01-01

    Introduction: Text genres used by so-called information organizers in the processes of information organization in information systems were explored in this research. Method: The research employed text genre socio-functional analysis. Five genre groups in information organization were distinguished. Every genre group used in information…

  18. Intercultural Rhetoric Research: Beyond Texts

    Science.gov (United States)

    Connor, Ulla

    2004-01-01

    This paper proposes a set of new methods for intercultural rhetoric research that is context-sensitive and, in many instances, goes beyond mere text analysis. It considers changes in the field as intercultural rhetoric has moved from the EAP study of student essays to the study of writing in many disciplines and genres. New developments in text,…

  19. The Case for Multiple Texts

    Science.gov (United States)

    Cummins, Sunday

    2017-01-01

    Reading just one text on any topic, Cummins argues, isn't enough if we expect students to learn at deep levels about the topic, synthesize various sources of information, and gain the knowledge they need to write and speak seriously about the topic. Reading a second or third text expands a reader's knowledge on any topic or story--and the why…

  20. Understanding and Teaching Complex Texts

    Science.gov (United States)

    Fisher, Douglas; Frey, Nancy

    2014-01-01

    Teachers in today's classrooms struggle every day to design instructional interventions that would build students' reading skills and strategies in order to ensure their comprehension of complex texts. Text complexity can be determined in both qualitative and quantitative ways. In this article, the authors describe various innovative…

  1. LOTUS: Linked open text unleashed

    NARCIS (Netherlands)

    Ilievski, F.; Beek, Wouter; Van Erp, Marieke; Rietveld, Laurens; Schlobach, Stefan

    2015-01-01

    It is dificult to find resources on the Semantic Web today, in particular if one wants to search for resources based on natural language keywords and across multiple datasets. In this paper, we present LOTUS: Linked Open Text UnleaShed, a full-text lookup index over a huge Linked Open Data

  2. Text mining for systems biology.

    Science.gov (United States)

    Fluck, Juliane; Hofmann-Apitius, Martin

    2014-02-01

    Scientific communication in biomedicine is, by and large, still text based. Text mining technologies for the automated extraction of useful biomedical information from unstructured text that can be directly used for systems biology modelling have been substantially improved over the past few years. In this review, we underline the importance of named entity recognition and relationship extraction as fundamental approaches that are relevant to systems biology. Furthermore, we emphasize the role of publicly organized scientific benchmarking challenges that reflect the current status of text-mining technology and are important in moving the entire field forward. Given further interdisciplinary development of systems biology-orientated ontologies and training corpora, we expect a steadily increasing impact of text-mining technology on systems biology in the future. Copyright © 2013 Elsevier Ltd. All rights reserved.

  3. 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...

  4. Text structures in medical text processing: empirical evidence and a text understanding prototype.

    Science.gov (United States)

    Hahn, U.; Romacker, M.

    1997-01-01

    We consider the role of textual structures in medical texts. In particular, we examine the impact the lacking recognition of text phenomena has on the validity of medical knowledge bases fed by a natural language understanding front-end. First, we review the results from an empirical study on a sample of medical texts considering, in various forms of local coherence phenomena (anaphora and textual ellipses). We then discuss the representation bias emerging in the text knowledge base that is likely to occur when these phenomena are not dealt with--mainly the emergence of referentially incoherent and invalid representations. We then turn to a medical text understanding system designed to account for local text coherence. PMID:9357739

  5. Toward text understanding: classification of text documents by word map

    Science.gov (United States)

    Visa, Ari J. E.; Toivanen, Jarmo; Back, Barbro; Vanharanta, Hannu

    2000-04-01

    In many fields, for example in business, engineering, and law there is interest in the search and the classification of text documents in large databases. To information retrieval purposes there exist methods. They are mainly based on keywords. In cases where keywords are lacking the information retrieval is problematic. One approach is to use the whole text document as a search key. Neural networks offer an adaptive tool for this purpose. This paper suggests a new adaptive approach to the problem of clustering and search in large text document databases. The approach is a multilevel one based on word, sentence, and paragraph level maps. Here only the word map level is reported. The reported approach is based on smart encoding, on Self-Organizing Maps, and on document histograms. The results are very promising.

  6. 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.

  7. 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.

  8. An Experimental Text-Commentary

    Science.gov (United States)

    O'Brien, Joan

    1976-01-01

    An experimental text-commentary of selected passages from Sophocles'"Antigone" is described. The commentary is intended for students seeking more than a conventional translation who do not know enough Greek to use a standard commentary. (RM)

  9. Anomaly Detection with Text Mining

    Data.gov (United States)

    National Aeronautics and Space Administration — Many existing complex space systems have a significant amount of historical maintenance and problem data bases that are stored in unstructured text forms. The...

  10. Individual Profiling Using Text Analysis

    Science.gov (United States)

    2016-04-15

    likelihood that it belongs to the input text , although early experiments showed that this added no benefit. Parts–of– speech In early experiments all...tweets were POS tagged as part of the pre– processing step using a Twitter specific part–of– speech tagger [8]. Various studies have identified POS tags as...AFRL-AFOSR-UK-TR-2016-0011 Individual Profiling using Text Analysis 140333 Mark Stevenson UNIVERSITY OF SHEFFIELD, DEPARTMENT OF PSYCHOLOGY Final

  11. Thinking About Religious Texts Anthropologically

    Directory of Open Access Journals (Sweden)

    Joel S. Kahn

    2016-01-01

    Full Text Available This paper addresses the conference themes by asking what contribution anthropology can make to the study of religious literature and heritage. In particular I will discuss ways in which anthropologists engage with religious texts. The paper begins with an assessment of what is probably the dominant approach to religious texts in mainstream anthropology and sociology, namely avoiding them and focussing instead on the religious ‘practices’ of ‘ordinary believers’. Arguing that this tendency to neglect the study of texts is ill-advised, the paper looks at the reasons why anthropologists need to engage with contemporary religious texts, particularly in their studies of/in the modern Muslim world. Drawing on the insights of anthropologist of religion Joel Robbins into what he called the “awkward relationship” between anthropology and theology, the paper proposes three possible ways in which anthropology might engage with religious literature. Based on a reading of three rather different modern texts on or about Islam, the strengths and weaknesses of each of the three modes of anthropological engagement is assessed and a case is made for Robbins’s third approach on the grounds that it offers a way out of the impasse in which mainstream anthropology of religion finds itself, caught as it is between the ‘emic’ and the ‘etic’, i.e. between ontologically different worlds.

  12. Analysing ESP Texts, but How?

    Directory of Open Access Journals (Sweden)

    Borza Natalia

    2015-03-01

    Full Text Available English as a second language (ESL teachers instructing general English and English for specific purposes (ESP in bilingual secondary schools face various challenges when it comes to choosing the main linguistic foci of language preparatory courses enabling non-native students to study academic subjects in English. ESL teachers intending to analyse English language subject textbooks written for secondary school students with the aim of gaining information about what bilingual secondary school students need to know in terms of language to process academic textbooks cannot avoiding deal with a dilemma. It needs to be decided which way it is most appropriate to analyse the texts in question. Handbooks of English applied linguistics are not immensely helpful with regard to this problem as they tend not to give recommendation as to which major text analytical approaches are advisable to follow in a pre-college setting. The present theoretical research aims to address this lacuna. Respectively, the purpose of this pedagogically motivated theoretical paper is to investigate two major approaches of ESP text analysis, the register and the genre analysis, in order to find the more suitable one for exploring the language use of secondary school subject texts from the point of view of an English as a second language teacher. Comparing and contrasting the merits and limitations of the two contrastive approaches allows for a better understanding of the nature of the two different perspectives of text analysis. The study examines the goals, the scope of analysis, and the achievements of the register perspective and those of the genre approach alike. The paper also investigates and reviews in detail the starkly different methods of ESP text analysis applied by the two perspectives. Discovering text analysis from a theoretical and methodological angle supports a practical aspect of English teaching, namely making an informed choice when setting out to analyse

  13. GPU-Accelerated Text Mining

    Energy Technology Data Exchange (ETDEWEB)

    Cui, Xiaohui [ORNL; Mueller, Frank [North Carolina State University; Zhang, Yongpeng [ORNL; Potok, Thomas E [ORNL

    2009-01-01

    Accelerating hardware devices represent a novel promise for improving the performance for many problem domains but it is not clear for which domains what accelerators are suitable. While there is no room in general-purpose processor design to significantly increase the processor frequency, developers are instead resorting to multi-core chips duplicating conventional computing capabilities on a single die. Yet, accelerators offer more radical designs with a much higher level of parallelism and novel programming environments. This present work assesses the viability of text mining on CUDA. Text mining is one of the key concepts that has become prominent as an effective means to index the Internet, but its applications range beyond this scope and extend to providing document similarity metrics, the subject of this work. We have developed and optimized text search algorithms for GPUs to exploit their potential for massive data processing. We discuss the algorithmic challenges of parallelization for text search problems on GPUs and demonstrate the potential of these devices in experiments by reporting significant speedups. Our study may be one of the first to assess more complex text search problems for suitability for GPU devices, and it may also be one of the first to exploit and report on atomic instruction usage that have recently become available in NVIDIA devices.

  14. Comprehending text in literature class

    Directory of Open Access Journals (Sweden)

    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.

  15. Princess Brambilla - images/text

    Directory of Open Access Journals (Sweden)

    Maria Aparecida Barbosa

    2016-01-01

    Full Text Available Read the illustrated literary text is simultaneously think pictures and words. This articulation between the written text and pictures adds potential, expands and becomes complex. Coincides with nowadays discussions on Giorgio Agamben's "contemporary" that add to what adheres to respectively time the displacement and the distance needed to understand it, shakes linear notions of historical chronology. Somehow the coincidence is related to the current interest in the concept of "Nachleben" (survival, which assumes the images of the past ransom, postulated by the art historian Aby Warburg in a research on ancient art of motion characteristics in Renaissance pictures Botticelli's. For the translation of the Princesa Brambilla – um capriccio segundo Jakob Callot, de E. T. A. Hoffmann, com 8 gravuras cunhadas a partir de moldes originais de Callot (1820 to Portuguese such discussions were fundamental, as I try to present in this article.

  16. Quality Inspection of Printed Texts

    DEFF Research Database (Denmark)

    Pedersen, Jesper Ballisager; Nasrollahi, Kamal; Moeslund, Thomas B.

    2016-01-01

    Inspecting the quality of printed texts has its own importance in many industrial applications. To do so, this paper proposes a grading system which evaluates the performance of the printing task using some quality measures for each character and symbols. The purpose of these grading system is two......-folded: for costumers of the printing and verification system, the overall grade used to verify if the text is of sufficient quality, while for printer's manufacturer, the detailed character/symbols grades and quality measurements are used for the improvement and optimization of the printing task. The proposed system...

  17. Seductive Texts with Serious Intentions.

    Science.gov (United States)

    Nielsen, Harriet Bjerrum

    1995-01-01

    Debates whether a text claiming to have scientific value is using seduction irresponsibly at the expense of the truth, and discusses who is the subject and who is the object of such seduction. It argues that, rather than being an assault against scientific ethics, seduction is a necessary premise for a sensible conversation to take place. (GR)

  18. Text linguistics: memory and representation

    Directory of Open Access Journals (Sweden)

    Leonor Lopes Fávero

    2012-12-01

    Full Text Available Text Linguistics originates in Brazil in the 80s of the twentieth century. The first work that we know of is from 1981, authored by Prof. Ignacio Antonio Neiss, entitled Por uma gramática textua, which was followed by two other in 1983: Linguística textual: o que é e como se faz, by Prof. Luiz Antônio Marcuschi and Linguística textual: introdução by Leonor Lopes Favero and Ingedore Villaça Koch. Professor Neiss shows how initial attempts to textual linguistics, were generally related to structural and generative grammars. The work of Prof. Marcuschi focuses on the analysis of some text definitions and on the study of theoretical aspects in relation to their applicability. Leonor Lopes Favero and Ingedore V. Koch aim to provide the Brazilian reader with an overview of text linguistics in Europe, a recent branch of language science then. This work is part of the History of Linguistic Ideas, part of the Cultural History, which seeks to identify how at different times , a social reality is constructed, designed, and enlightened (Chartier, 1990.

  19. Text Comprehension Processes in Bilinguals.

    Science.gov (United States)

    1985-08-01

    work unit 03.05 (utilization of bilingual Navy personnel). The objective of this work unit is to understand and improve the communicative competence of...project aimed at understanding and improving the communicative competence of bilingual personnel. Background Chang (1984) found that the text

  20. Hebrew Text Database ETCBC4

    NARCIS (Netherlands)

    Roorda, D.; Talstra, Eep; van Peursen, Wido Th.; Dyk, Janet; Sikkel, Constantijn; Glanz, Oliver; Oosting, Reinoud; Kalkman, Gino

    2014-01-01

    The ETCBC database of the Hebrew Bible (formerly known as WIVU database), contains the scholarly text of the Hebrew Bible with linguistic markup. A previous version can be found in EASY (see the link below). The present dataset is an improvement in many ways: (A) it contains a new version of the

  1. AHP 45: REVIEW: TIBETAN LITERARY GENRES, TEXTS, AND TEXT TYPES

    Directory of Open Access Journals (Sweden)

    Zoe Tribur

    2017-03-01

    Full Text Available Following the quantitative tradition of sociolinguistic research pioneered by such scholars as William Labov, Walt Wolfram, and Penelope Eckert, Reynolds presents a detailed, coherent analysis of the social parameters behind a specific on-going sound change, the merger of syllable final bilabial nasal (m with aveolar coronal nasal (n, in one small farming community in Qinghai Province. His is certainly not the first such study on Tibetan sound change. It is also not the first study to investigate the merger of (m into (n, which is a prominent feature of so-called "farmer" dialects of Amdo Tibetan (Hua 2005. ...

  2. Text Plagi, detecció de text no citat

    OpenAIRE

    Martínez Vilanova, Albert

    2013-01-01

    El treball presenta una aplicació web que permet la detecció de text plagiat en un arxiu prèviament seleccionat per l'usuari gràcies a l'API Summon Service a través d'un entorn web. La idea sorgeix del director de projecte Jordi Duran Cals quan em va proposar una col·laboració amb la Universitat Oberta de Catalunya per desenvolupar aquesta nova eina, que donaria solució a la necessitat dels professors de poder detectar possibles plagis. Amb la nostra aplicació hem complert l'objectiu principa...

  3. Cluster Based Text Classification Model

    DEFF Research Database (Denmark)

    Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock

    2011-01-01

    We propose a cluster based classification model for suspicious email detection and other text classification tasks. The text classification tasks comprise many training examples that require a complex classification model. Using clusters for classification makes the model simpler and increases...... the accuracy at the same time. The test example is classified using simpler and smaller model. The training examples in a particular cluster share the common vocabulary. At the time of clustering, we do not take into account the labels of the training examples. After the clusters have been created......, the classifier is trained on each cluster having reduced dimensionality and less number of examples. The experimental results show that the proposed model outperforms the existing classification models for the task of suspicious email detection and topic categorization on the Reuters-21578 and 20 Newsgroups...

  4. Text Segmentation Using Exponential Models

    CERN Document Server

    Beeferman, D; Lafferty, G D; Beeferman, Doug; Berger, Adam; Lafferty, John

    1997-01-01

    This paper introduces a new statistical approach to partitioning text automatically into coherent segments. Our approach enlists both short-range and long-range language models to help it sniff out likely sites of topic changes in text. To aid its search, the system consults a set of simple lexical hints it has learned to associate with the presence of boundaries through inspection of a large corpus of annotated data. We also propose a new probabilistically motivated error metric for use by the natural language processing and information retrieval communities, intended to supersede precision and recall for appraising segmentation algorithms. Qualitative assessment of our algorithm as well as evaluation using this new metric demonstrate the effectiveness of our approach in two very different domains, Wall Street Journal articles and the TDT Corpus, a collection of newswire articles and broadcast news transcripts.

  5. Locative inferences in medical texts.

    Science.gov (United States)

    Mayer, P S; Bailey, G H; Mayer, R J; Hillis, A; Dvoracek, J E

    1987-06-01

    Medical research relies on epidemiological studies conducted on a large set of clinical records that have been collected from physicians recording individual patient observations. These clinical records are recorded for the purpose of individual care of the patient with little consideration for their use by a biostatistician interested in studying a disease over a large population. Natural language processing of clinical records for epidemiological studies must deal with temporal, locative, and conceptual issues. This makes text understanding and data extraction of clinical records an excellent area for applied research. While much has been done in making temporal or conceptual inferences in medical texts, parallel work in locative inferences has not been done. This paper examines the locative inferences as well as the integration of temporal, locative, and conceptual issues in the clinical record understanding domain by presenting an application that utilizes two key concepts in its parsing strategy--a knowledge-based parsing strategy and a minimal lexicon.

  6. 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...

  7. Text Mining the Biomedical Literature

    Science.gov (United States)

    2007-11-05

    LECTURE NOTES IN COMPUTER SCIENCE Gelbukh, A; Sidorov, G; Guzman -Arenas, A. 1999. Use of a weighted topic hierarchy for document classification...matrix decomposition. ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE 26 (3): 415-435. Kongovi, M; Guzman , JC; Dasigi, V. 2002. Text categorization: An...RECOGNITION, SPEECH AND IMAGE ANALYSIS 2905: 596-603. LECTURE NOTES IN COMPUTER SCIENCE Porter, AL; Kongthon, A; Lui , JC. 2002. Research profiling

  8. Active Discriminative Text Representation Learning

    OpenAIRE

    Zhang, Ye; Lease, Matthew; Wallace, Byron C.

    2016-01-01

    We propose a new active learning (AL) method for text classification with convolutional neural networks (CNNs). In AL, one selects the instances to be manually labeled with the aim of maximizing model performance with minimal effort. Neural models capitalize on word embeddings as representations (features), tuning these to the task at hand. We argue that AL strategies for multi-layered neural models should focus on selecting instances that most affect the embedding space (i.e., induce discrim...

  9. Princess Brambilla - images/text

    Directory of Open Access Journals (Sweden)

    Maria Aparecida Barbosa

    2015-08-01

    Full Text Available http://dx.doi.org/10.5007/2175-7968.2016v36n1p79 Read the illustrated literary text is simultaneously think pictures and words. This articulation between the written text and pictures adds potential, expands and becomes complex. Coincides with nowadays discussions on Giorgio Agamben's "contemporary" that add to what adheres to respectively time the displacement and the distance needed to understand it, shakes linear notions of historical chronology. Somehow the coincidence is related to the current interest in the concept of "Nachleben" (survival, which assumes the images of the past ransom, postulated by the art historian Aby Warburg in a research on ancient art of motion characteristics in Renaissance pictures Botticelli's. For the translation of the Princesa Brambilla – um capriccio segundo Jakob Callot, de E. T. A. Hoffmann, com 8 gravuras cunhadas a partir de moldes originais de Callot (1820 to Portuguese such discussions were fundamental, as I try to present in this article.

  10. The Balinese Unicode Text Processing

    Directory of Open Access Journals (Sweden)

    Imam Habibi

    2009-06-01

    Full Text Available In principal, the computer only recognizes numbers as the representation of a character. Therefore, there are many encoding systems to allocate these numbers although not all characters are covered. In Europe, every single language even needs more than one encoding system. Hence, a new encoding system known as Unicode has been established to overcome this problem. Unicode provides unique id for each different characters which does not depend on platform, program, and language. Unicode standard has been applied in a number of industries, such as Apple, HP, IBM, JustSystem, Microsoft, Oracle, SAP, Sun, Sybase, and Unisys. In addition, language standards and modern information exchanges such as XML, Java, ECMA Script (JavaScript, LDAP, CORBA 3.0, and WML make use of Unicode as an official tool for implementing ISO/IEC 10646. There are four things to do according to Balinese script: the algorithm of transliteration, searching, sorting, and word boundary analysis (spell checking. To verify the truth of algorithm, some applications are made. These applications can run on Linux/Windows OS platform using J2SDK 1.5 and J2ME WTK2 library. The input and output of the algorithm/application are character sequence that is obtained from keyboard punch and external file. This research produces a module or a library which is able to process the Balinese text based on Unicode standard. The output of this research is the ability, skill, and mastering of 1. Unicode standard (21-bit as a substitution to ASCII (7-bit and ISO8859-1 (8-bit as the former default character set in many applications. 2. The Balinese Unicode text processing algorithm. 3. An experience of working with and learning from an international team that consists of the foremost experts in the area: Michael Everson (Ireland, Peter Constable (Microsoft US, I Made Suatjana, and Ida Bagus Adi Sudewa.

  11. Text Mining for Protein Docking.

    Directory of Open Access Journals (Sweden)

    Varsha D Badal

    2015-12-01

    Full Text Available The rapidly growing amount of publicly available information from biomedical research is readily accessible on the Internet, providing a powerful resource for predictive biomolecular modeling. The accumulated data on experimentally determined structures transformed structure prediction of proteins and protein complexes. Instead of exploring the enormous search space, predictive tools can simply proceed to the solution based on similarity to the existing, previously determined structures. A similar major paradigm shift is emerging due to the rapidly expanding amount of information, other than experimentally determined structures, which still can be used as constraints in biomolecular structure prediction. Automated text mining has been widely used in recreating protein interaction networks, as well as in detecting small ligand binding sites on protein structures. Combining and expanding these two well-developed areas of research, we applied the text mining to structural modeling of protein-protein complexes (protein docking. Protein docking can be significantly improved when constraints on the docking mode are available. We developed a procedure that retrieves published abstracts on a specific protein-protein interaction and extracts information relevant to docking. The procedure was assessed on protein complexes from Dockground (http://dockground.compbio.ku.edu. The results show that correct information on binding residues can be extracted for about half of the complexes. The amount of irrelevant information was reduced by conceptual analysis of a subset of the retrieved abstracts, based on the bag-of-words (features approach. Support Vector Machine models were trained and validated on the subset. The remaining abstracts were filtered by the best-performing models, which decreased the irrelevant information for ~ 25% complexes in the dataset. The extracted constraints were incorporated in the docking protocol and tested on the Dockground unbound

  12. Text mining by Tsallis entropy

    Science.gov (United States)

    Jamaati, Maryam; Mehri, Ali

    2018-01-01

    Long-range correlations between the elements of natural languages enable them to convey very complex information. Complex structure of human language, as a manifestation of natural languages, motivates us to apply nonextensive statistical mechanics in text mining. Tsallis entropy appropriately ranks the terms' relevance to document subject, taking advantage of their spatial correlation length. We apply this statistical concept as a new powerful word ranking metric in order to extract keywords of a single document. We carry out an experimental evaluation, which shows capability of the presented method in keyword extraction. We find that, Tsallis entropy has reliable word ranking performance, at the same level of the best previous ranking methods.

  13. Text as an Autopoietic System

    DEFF Research Database (Denmark)

    Nicolaisen, Maria Skou

    2016-01-01

    The aim of the present research article is to discuss the possibilities and limitations in addressing text as an autopoietic system. The theory of autopoiesis originated in the field of biology in order to explain the dynamic processes entailed in sustaining living organisms at cellular level. Th....... By comparing the biological with the textual account of autopoietic agency, the end conclusion is that a newly derived concept of sociopoiesis might be better suited for discussing the architecture of textual systems.......The aim of the present research article is to discuss the possibilities and limitations in addressing text as an autopoietic system. The theory of autopoiesis originated in the field of biology in order to explain the dynamic processes entailed in sustaining living organisms at cellular level....... The theory has been introduced in a slightly altered version to the field of textual scholarship by Jerome McGann. In its original version, the defining traits of autopoietic system functioning are associated with distinguishable boundaries between the system and its environment, a distinction that does...

  14. Metadata extraction using text mining.

    Science.gov (United States)

    Seth, Shivani; Rüping, Stefan; Wrobel, Stefan

    2009-01-01

    Grid technologies have proven to be very successful in the area of eScience, and healthcare in particular, because they allow to easily combine proven solutions for data querying, integration, and analysis into a secure, scalable framework. In order to integrate the services that implement these solutions into a given Grid architecture, some metadata is required, for example information about the low-level access to these services, security information, and some documentation for the user. In this paper, we investigate how relevant metadata can be extracted from a semi-structured textual documentation of the algorithm that is underlying the service, by the use of text mining methods. In particular, we investigate the semi-automatic conversion of functions of the statistical environment R into Grid services as implemented by the GridR tool by the generation of appropriate metadata.

  15. Text Mining for Protein Docking.

    Science.gov (United States)

    Badal, Varsha D; Kundrotas, Petras J; Vakser, Ilya A

    2015-12-01

    The rapidly growing amount of publicly available information from biomedical research is readily accessible on the Internet, providing a powerful resource for predictive biomolecular modeling. The accumulated data on experimentally determined structures transformed structure prediction of proteins and protein complexes. Instead of exploring the enormous search space, predictive tools can simply proceed to the solution based on similarity to the existing, previously determined structures. A similar major paradigm shift is emerging due to the rapidly expanding amount of information, other than experimentally determined structures, which still can be used as constraints in biomolecular structure prediction. Automated text mining has been widely used in recreating protein interaction networks, as well as in detecting small ligand binding sites on protein structures. Combining and expanding these two well-developed areas of research, we applied the text mining to structural modeling of protein-protein complexes (protein docking). Protein docking can be significantly improved when constraints on the docking mode are available. We developed a procedure that retrieves published abstracts on a specific protein-protein interaction and extracts information relevant to docking. The procedure was assessed on protein complexes from Dockground (http://dockground.compbio.ku.edu). The results show that correct information on binding residues can be extracted for about half of the complexes. The amount of irrelevant information was reduced by conceptual analysis of a subset of the retrieved abstracts, based on the bag-of-words (features) approach. Support Vector Machine models were trained and validated on the subset. The remaining abstracts were filtered by the best-performing models, which decreased the irrelevant information for ~ 25% complexes in the dataset. The extracted constraints were incorporated in the docking protocol and tested on the Dockground unbound benchmark set

  16. A programmed text in statistics

    CERN Document Server

    Hine, J

    1975-01-01

    Exercises for Section 2 42 Physical sciences and engineering 42 43 Biological sciences 45 Social sciences Solutions to Exercises, Section 1 47 Physical sciences and engineering 47 49 Biological sciences 49 Social sciences Solutions to Exercises, Section 2 51 51 PhYSical sciences and engineering 55 Biological sciences 58 Social sciences 62 Tables 2 62 x - tests involving variances 2 63,64 x - one tailed tests 2 65 x - two tailed tests F-distribution 66-69 Preface This project started some years ago when the Nuffield Foundation kindly gave a grant for writing a pro­ grammed text to use with service courses in statistics. The work carried out by Mrs. Joan Hine and Professor G. B. Wetherill at Bath University, together with some other help from time to time by colleagues at Bath University and elsewhere. Testing was done at various colleges and universities, and some helpful comments were received, but we particularly mention King Edwards School, Bath, who provided some sixth formers as 'guinea pigs' for the fir...

  17. Audio Steganography with Embedded Text

    Science.gov (United States)

    Teck Jian, Chua; Chai Wen, Chuah; Rahman, Nurul Hidayah Binti Ab.; Hamid, Isredza Rahmi Binti A.

    2017-08-01

    Audio steganography is about hiding the secret message into the audio. It is a technique uses to secure the transmission of secret information or hide their existence. It also may provide confidentiality to secret message if the message is encrypted. To date most of the steganography software such as Mp3Stego and DeepSound use block cipher such as Advanced Encryption Standard or Data Encryption Standard to encrypt the secret message. It is a good practice for security. However, the encrypted message may become too long to embed in audio and cause distortion of cover audio if the secret message is too long. Hence, there is a need to encrypt the message with stream cipher before embedding the message into the audio. This is because stream cipher provides bit by bit encryption meanwhile block cipher provide a fixed length of bits encryption which result a longer output compare to stream cipher. Hence, an audio steganography with embedding text with Rivest Cipher 4 encryption cipher is design, develop and test in this project.

  18. Measurement of prompt and nonprompt [Formula: see text] production in [Formula: see text] and [Formula: see text] collisions at [Formula: see text].

    Science.gov (United States)

    Sirunyan, A M; Tumasyan, A; Adam, W; Asilar, E; Bergauer, T; Brandstetter, J; Brondolin, E; Dragicevic, M; Erö, J; Flechl, M; Friedl, M; Frühwirth, R; Ghete, V M; Hartl, C; Hörmann, N; Hrubec, J; Jeitler, M; König, A; Krätschmer, I; Liko, D; Matsushita, T; Mikulec, I; Rabady, D; Rad, N; Rahbaran, B; Rohringer, H; Schieck, J; Strauss, J; Waltenberger, W; Wulz, C-E; Dvornikov, O; Makarenko, V; Mossolov, V; Suarez Gonzalez, J; Zykunov, V; Shumeiko, N; Alderweireldt, S; De Wolf, E A; Janssen, X; Lauwers, J; Van De Klundert, M; Van Haevermaet, H; Van Mechelen, P; Van Remortel, N; Van Spilbeeck, A; Abu Zeid, S; Blekman, F; D'Hondt, J; Daci, N; De Bruyn, I; Deroover, K; Lowette, S; Moortgat, S; Moreels, L; Olbrechts, A; Python, Q; Skovpen, K; Tavernier, S; Van Doninck, W; Van Mulders, P; Van Parijs, I; Brun, H; Clerbaux, B; De Lentdecker, G; Delannoy, H; Fasanella, G; Favart, L; Goldouzian, R; Grebenyuk, A; Karapostoli, G; Lenzi, T; Léonard, A; Luetic, J; Maerschalk, T; Marinov, A; Randle-Conde, A; 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Wallny, R; Aarrestad, T K; Amsler, C; Caminada, L; Canelli, M F; De Cosa, A; Galloni, C; Hinzmann, A; Hreus, T; Kilminster, B; Ngadiuba, J; Pinna, D; Rauco, G; Robmann, P; Salerno, D; Seitz, C; Yang, Y; Zucchetta, A; Candelise, V; Doan, T H; Jain, Sh; Khurana, R; Konyushikhin, M; Kuo, C M; Lin, W; Pozdnyakov, A; Yu, S S; Kumar, Arun; Chang, P; Chang, Y H; Chao, Y; Chen, K F; Chen, P H; Fiori, F; Hou, W-S; Hsiung, Y; Liu, Y F; Lu, R-S; Miñano Moya, M; Paganis, E; Psallidas, A; Tsai, J F; Asavapibhop, B; Singh, G; Srimanobhas, N; Suwonjandee, N; Adiguzel, A; Cerci, S; Damarseckin, S; Demiroglu, Z S; Dozen, C; Dumanoglu, I; Girgis, S; Gokbulut, G; Guler, Y; Hos, I; Kangal, E E; Kara, O; Kayis Topaksu, A; Kiminsu, U; Oglakci, M; Onengut, G; Ozdemir, K; Sunar Cerci, D; Topakli, H; Turkcapar, S; Zorbakir, I S; Zorbilmez, C; Bilin, B; Bilmis, S; Isildak, B; Karapinar, G; Yalvac, M; Zeyrek, M; Gülmez, E; Kaya, M; Kaya, O; Yetkin, E A; Yetkin, T; Cakir, A; Cankocak, K; Sen, S; Grynyov, B; Levchuk, L; Sorokin, P; Aggleton, R; Ball, F; Beck, L; Brooke, J J; Burns, D; Clement, E; Cussans, D; Flacher, H; Goldstein, J; Grimes, M; Heath, G P; Heath, H F; Jacob, J; Kreczko, L; Lucas, C; Newbold, D M; Paramesvaran, S; Poll, A; Sakuma, T; Seif El Nasr-Storey, S; Smith, D; Smith, V J; Belyaev, A; Brew, C; Brown, R M; Calligaris, L; Cieri, D; Cockerill, D J A; Coughlan, J A; Harder, K; Harper, S; Olaiya, E; Petyt, D; Shepherd-Themistocleous, C H; Thea, A; Tomalin, I R; Williams, T; Baber, M; Bainbridge, R; Buchmuller, O; Bundock, A; Burton, D; Casasso, S; Citron, M; Colling, D; Corpe, L; Dauncey, P; Davies, G; De Wit, A; Della Negra, M; Di Maria, R; Dunne, P; Elwood, A; Futyan, D; Haddad, Y; Hall, G; Iles, G; James, T; Lane, R; Laner, C; Lucas, R; Lyons, L; Magnan, A-M; Malik, S; Mastrolorenzo, L; Nash, J; Nikitenko, A; Pela, J; Penning, B; Pesaresi, M; Raymond, D M; Richards, A; Rose, A; Scott, E; Seez, C; Summers, S; Tapper, A; Uchida, K; Vazquez Acosta, M; Virdee, T; Wright, J; Zenz, S C; Cole, J E; Hobson, P R; Khan, A; Kyberd, P; Reid, I D; Symonds, P; Teodorescu, L; Turner, M; Borzou, A; Call, K; Dittmann, J; Hatakeyama, K; Liu, H; Pastika, N; Bartek, R; Dominguez, A; Buccilli, A; Cooper, S I; Henderson, C; Rumerio, P; West, C; Arcaro, D; Avetisyan, A; Bose, T; Gastler, D; Rankin, D; Richardson, C; Rohlf, J; Sulak, L; Zou, D; Benelli, G; Cutts, D; Garabedian, A; Hakala, J; Heintz, U; Hogan, J M; Jesus, O; Kwok, K H M; Laird, E; Landsberg, G; Mao, Z; Narain, M; Piperov, S; Sagir, S; Spencer, E; Syarif, R; Breedon, R; Burns, D; Calderon De La Barca Sanchez, M; Chauhan, S; Chertok, M; Conway, J; Conway, R; Cox, P T; Erbacher, R; Flores, C; Funk, G; Gardner, M; Ko, W; Lander, R; Mclean, C; Mulhearn, M; Pellett, D; Pilot, J; Shalhout, S; Shi, M; Smith, J; Squires, M; Stolp, D; Tos, K; Tripathi, M; Bachtis, M; Bravo, C; Cousins, R; Dasgupta, A; Florent, A; Hauser, J; Ignatenko, M; Mccoll, N; Saltzberg, D; Schnaible, C; Valuev, V; Weber, M; Bouvier, E; Burt, K; Clare, R; Ellison, J; Gary, J W; Ghiasi Shirazi, S M A; Hanson, G; Heilman, J; Jandir, P; Kennedy, E; Lacroix, F; Long, O R; Olmedo Negrete, M; Paneva, M I; Shrinivas, A; Si, W; Wei, H; Wimpenny, S; Yates, B R; Branson, J G; Cerati, G B; Cittolin, S; Derdzinski, M; Gerosa, R; Holzner, A; Klein, D; Krutelyov, V; Letts, J; Macneill, I; Olivito, D; Padhi, S; Pieri, M; Sani, M; Sharma, V; Simon, S; Tadel, M; Vartak, A; Wasserbaech, S; Welke, C; Wood, J; Würthwein, F; Yagil, A; Zevi Della Porta, G; Amin, N; Bhandari, R; Bradmiller-Feld, J; Campagnari, C; Dishaw, A; Dutta, V; Franco Sevilla, M; George, C; Golf, F; Gouskos, L; Gran, J; Heller, R; Incandela, J; Mullin, S D; Ovcharova, A; Qu, H; Richman, J; Stuart, D; Suarez, I; Yoo, J; Anderson, D; Bendavid, J; Bornheim, A; Bunn, J; Duarte, J; Lawhorn, J M; Mott, A; Newman, H B; Pena, C; Spiropulu, M; Vlimant, J R; Xie, S; Zhu, R Y; Andrews, M B; Ferguson, T; Paulini, M; Russ, J; Sun, M; Vogel, H; Vorobiev, I; Weinberg, M; Cumalat, J P; Ford, W T; Jensen, F; Johnson, A; Krohn, M; Leontsinis, S; Mulholland, T; Stenson, K; Wagner, S R; Alexander, J; Chaves, J; Chu, J; Dittmer, S; Mcdermott, K; Mirman, N; Nicolas Kaufman, G; Patterson, J R; Rinkevicius, A; Ryd, A; Skinnari, L; Soffi, L; Tan, S M; Tao, Z; Thom, J; Tucker, J; Wittich, P; Zientek, M; Winn, D; Abdullin, S; Albrow, M; Apollinari, G; Apresyan, A; Banerjee, S; Bauerdick, L A T; Beretvas, A; Berryhill, J; Bhat, P C; Bolla, G; Burkett, K; Butler, J N; Cheung, H W K; Chlebana, F; Cihangir, S; Cremonesi, M; Elvira, V D; Fisk, I; Freeman, J; Gottschalk, E; Gray, L; Green, D; Grünendahl, S; Gutsche, O; Hare, D; Harris, R M; Hasegawa, S; Hirschauer, J; Hu, Z; Jayatilaka, B; Jindariani, S; Johnson, M; Joshi, U; Klima, B; Kreis, B; Lammel, S; Linacre, J; Lincoln, D; Lipton, R; Liu, M; Liu, T; Lopes De Sá, R; Lykken, J; Maeshima, K; Magini, N; Marraffino, J M; Maruyama, S; Mason, D; McBride, P; Merkel, P; Mrenna, S; Nahn, S; O'Dell, V; Pedro, K; Prokofyev, O; Rakness, G; Ristori, L; Sexton-Kennedy, E; Soha, A; Spalding, W J; Spiegel, L; Stoynev, S; Strait, J; Strobbe, N; Taylor, L; Tkaczyk, S; Tran, N V; Uplegger, L; Vaandering, E W; Vernieri, C; Verzocchi, M; Vidal, R; Wang, M; Weber, H A; Whitbeck, A; Wu, Y; Acosta, D; Avery, P; Bortignon, P; Bourilkov, D; Brinkerhoff, A; Carnes, A; Carver, M; Curry, D; Das, S; Field, R D; Furic, I K; Konigsberg, J; Korytov, A; Low, J F; Ma, P; Matchev, K; Mei, H; Mitselmakher, G; Rank, D; Shchutska, L; Sperka, D; Thomas, L; Wang, J; Wang, S; Yelton, J; Linn, S; Markowitz, P; Martinez, G; Rodriguez, J L; Ackert, A; Adams, T; Askew, A; Bein, S; Hagopian, S; Hagopian, V; Johnson, K F; Prosper, H; Santra, A; Yohay, R; Baarmand, M M; Bhopatkar, V; Colafranceschi, S; Hohlmann, M; Noonan, D; Roy, T; Yumiceva, F; Adams, M R; Apanasevich, L; Berry, D; Betts, R R; Bucinskaite, I; Cavanaugh, R; Evdokimov, O; Gauthier, L; Gerber, C E; Hofman, D J; Jung, K; Sandoval Gonzalez, I D; Varelas, N; Wang, H; Wu, Z; Zakaria, M; Zhang, J; Bilki, B; Clarida, W; Dilsiz, K; Durgut, S; Gandrajula, R P; Haytmyradov, M; Khristenko, V; Merlo, J-P; Mermerkaya, H; Mestvirishvili, A; Moeller, A; Nachtman, J; Ogul, H; Onel, Y; Ozok, F; Penzo, A; Snyder, C; Tiras, E; Wetzel, J; Yi, K; Anderson, I; Blumenfeld, B; Cocoros, A; Eminizer, N; Fehling, D; Feng, L; Gritsan, A V; Maksimovic, P; Roskes, J; Sarica, U; Swartz, M; Xiao, M; Xin, Y; You, C; Al-Bataineh, A; Baringer, P; Bean, A; Boren, S; Bowen, J; Castle, J; Forthomme, L; Kenny, R P; Khalil, S; Kropivnitskaya, A; Majumder, D; Mcbrayer, W; Murray, M; Sanders, S; Stringer, R; Tapia Takaki, J D; Wang, Q; Ivanov, A; Kaadze, K; Maravin, Y; Mohammadi, A; Saini, L K; Skhirtladze, N; Toda, S; Rebassoo, F; Wright, D; Anelli, C; Baden, A; Baron, O; Belloni, A; Calvert, B; Eno, S C; Ferraioli, C; Gomez, J A; Hadley, N J; Jabeen, S; Jeng, G Y; Kellogg, R G; Kolberg, T; Kunkle, J; Mignerey, A C; Ricci-Tam, F; Shin, Y H; Skuja, A; Tonjes, M B; Tonwar, S C; Abercrombie, D; Allen, B; Apyan, A; Azzolini, V; Barbieri, R; Baty, A; Bi, R; Bierwagen, K; Brandt, S; Busza, W; Cali, I A; D'Alfonso, M; Demiragli, Z; Di Matteo, L; Gomez Ceballos, G; Goncharov, M; Hsu, D; Iiyama, Y; Innocenti, G M; Klute, M; Kovalskyi, D; Krajczar, K; Lai, Y S; Lee, Y-J; Levin, A; Luckey, P D; Maier, B; Marini, A C; Mcginn, C; Mironov, C; Narayanan, S; Niu, X; Paus, C; Roland, C; Roland, G; Salfeld-Nebgen, J; Stephans, G S F; Tatar, K; Varma, M; Velicanu, D; Veverka, J; Wang, J; Wang, T W; Wyslouch, B; Yang, M; Benvenuti, A C; Chatterjee, R M; Evans, A; Hansen, P; Kalafut, S; Kao, S C; Kubota, Y; Lesko, Z; Mans, J; Nourbakhsh, S; Ruckstuhl, N; Rusack, R; Tambe, N; Turkewitz, J; Acosta, J G; Oliveros, S; Avdeeva, E; Bloom, K; Claes, D R; Fangmeier, C; Gonzalez Suarez, R; Kamalieddin, R; Kravchenko, I; Malta Rodrigues, A; Monroy, J; Siado, J E; Snow, G R; Stieger, B; Alyari, M; Dolen, J; Godshalk, A; Harrington, C; Iashvili, I; Kaisen, J; Nguyen, D; Parker, A; Rappoccio, S; Roozbahani, B; Alverson, G; Barberis, E; Hortiangtham, A; Massironi, A; Morse, D M; Nash, D; Orimoto, T; Teixeira De Lima, R; Trocino, D; Wang, R-J; Wood, D; Bhattacharya, S; Charaf, O; Hahn, K A; Kumar, A; Mucia, N; Odell, N; Pollack, B; Schmitt, M H; Sung, K; Trovato, M; Velasco, M; Dev, N; Hildreth, M; Hurtado Anampa, K; Jessop, C; Karmgard, D J; Kellams, N; Lannon, K; Marinelli, N; Meng, F; Mueller, C; Musienko, Y; Planer, M; Reinsvold, A; Ruchti, R; Rupprecht, N; Smith, G; Taroni, S; Wayne, M; Wolf, M; Woodard, A; Alimena, J; Antonelli, L; Bylsma, B; Durkin, L S; Flowers, S; Francis, B; Hart, A; Hill, C; Hughes, R; Ji, W; Liu, B; Luo, W; Puigh, D; Winer, B L; Wulsin, H W; Cooperstein, S; Driga, O; Elmer, P; Hardenbrook, J; Hebda, P; Lange, D; Luo, J; Marlow, D; Medvedeva, T; Mei, K; Ojalvo, I; Olsen, J; Palmer, C; Piroué, P; Stickland, D; Svyatkovskiy, A; Tully, C; Malik, S; Barker, A; Barnes, V E; Folgueras, S; Gutay, L; Jha, M K; Jones, M; Jung, A W; Khatiwada, A; Miller, D H; Neumeister, N; Schulte, J F; Shi, X; Sun, J; Wang, F; Xie, W; Parashar, N; Stupak, J; Adair, A; Akgun, B; Chen, Z; Ecklund, K M; Geurts, F J M; Guilbaud, M; Li, W; Michlin, B; Northup, M; Padley, B P; Roberts, J; Rorie, J; Tu, Z; Zabel, J; Betchart, B; Bodek, A; de Barbaro, P; Demina, R; Duh, Y T; Ferbel, T; Galanti, M; Garcia-Bellido, A; Han, J; Hindrichs, O; Khukhunaishvili, A; Lo, K H; Tan, P; Verzetti, M; Agapitos, A; Chou, J P; Gershtein, Y; Gómez Espinosa, T A; Halkiadakis, E; Heindl, M; Hughes, E; Kaplan, S; Kunnawalkam Elayavalli, R; Kyriacou, S; Lath, A; Nash, K; Osherson, M; Saka, H; Salur, S; Schnetzer, S; Sheffield, D; Somalwar, S; Stone, R; Thomas, S; Thomassen, P; Walker, M; Delannoy, A G; Foerster, M; Heideman, J; Riley, G; Rose, K; Spanier, S; Thapa, K; Bouhali, O; Celik, A; Dalchenko, M; De Mattia, M; Delgado, A; Dildick, S; Eusebi, R; Gilmore, J; Huang, T; Juska, E; Kamon, T; Mueller, R; Pakhotin, Y; Patel, R; Perloff, A; Perniè, L; Rathjens, D; Safonov, A; Tatarinov, A; Ulmer, K A; Akchurin, N; Cowden, C; Damgov, J; De Guio, F; Dragoiu, C; Dudero, P R; Faulkner, J; Gurpinar, E; Kunori, S; Lamichhane, K; Lee, S W; Libeiro, T; Peltola, T; Undleeb, S; Volobouev, I; Wang, Z; Greene, S; Gurrola, A; Janjam, R; Johns, W; Maguire, C; Melo, A; Ni, H; Sheldon, P; Tuo, S; Velkovska, J; Xu, Q; Arenton, M W; Barria, P; Cox, B; Goodell, J; Hirosky, R; Ledovskoy, A; Li, H; Neu, C; Sinthuprasith, T; Sun, X; Wang, Y; Wolfe, E; Xia, F; Clarke, C; Harr, R; Karchin, P E; Sturdy, J; Belknap, D A; Buchanan, J; Caillol, C; Dasu, S; Dodd, L; Duric, S; Gomber, B; Grothe, M; Herndon, M; Hervé, A; Klabbers, P; Lanaro, A; Levine, A; Long, K; Loveless, R; Perry, T; Pierro, G A; Polese, G; Ruggles, T; Savin, A; Smith, N; Smith, W H; Taylor, D; Woods, N

    2017-01-01

    This paper reports the measurement of [Formula: see text] meson production in proton-proton ([Formula: see text]) and proton-lead ([Formula: see text]) collisions at a center-of-mass energy per nucleon pair of [Formula: see text] by the CMS experiment at the LHC. The data samples used in the analysis correspond to integrated luminosities of 28[Formula: see text] and 35[Formula: see text] for [Formula: see text] and [Formula: see text] collisions, respectively. Prompt and nonprompt [Formula: see text] mesons, the latter produced in the decay of [Formula: see text] hadrons, are measured in their dimuon decay channels. Differential cross sections are measured in the transverse momentum range of [Formula: see text], and center-of-mass rapidity ranges of [Formula: see text] ([Formula: see text]) and [Formula: see text] ([Formula: see text]). The nuclear modification factor, [Formula: see text], is measured as a function of both [Formula: see text] and [Formula: see text]. Small modifications to the [Formula: see text] cross sections are observed in [Formula: see text] relative to [Formula: see text] collisions. The ratio of [Formula: see text] production cross sections in [Formula: see text]-going and Pb-going directions, [Formula: see text], studied as functions of [Formula: see text] and [Formula: see text], shows a significant decrease for increasing transverse energy deposited at large pseudorapidities. These results, which cover a wide kinematic range, provide new insight on the role of cold nuclear matter effects on prompt and nonprompt [Formula: see text] production.

  19. Calculating emissions into the air. General methodological principles; Calcul des emissions dans l'air. Principes methodologiques generaux

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-05-01

    Knowing the quantities of certain substances discharged into the atmosphere is a necessary and fundamental stage in any environmental protection policy to tackle today's problems such as acid rain, the degradation of air quality, global warming and climate change, the depletion of the ozone layer, etc. This quantification, usually known as an 'emission inventory', is built on a set of specific rules which may vary from one inventory to another. This state of affairs presents the enormous disadvantage that the data available are not comparable. At the international level, an attempt at harmonization has been going on for some years between the various international bodies. This work is being pursued in parallel with the improvement of methodologies to estimate discharges from various types of source. To take account of changes in specifications and of improvements in our understanding of phenomena giving rise to atmospheric pollution, the results of inventories of emissions need to be regularly revised, even retrospectively, to maintain a consistent series. CITEPA, which acts as a National Reference Centre, has developed a system of inventories as part of the CORALIE programme with financial help from the French Ministry for Planning and the Environment. (author)

  20. The general principles of radiation protection and regulation; Les principes generaux de la radioprotection et la reglementation

    Energy Technology Data Exchange (ETDEWEB)

    Aurengo, A. [Societe Francaise de Radioprotection, 34 - Montpellier (France); Cesarini, J.P. [Societe Francaise de Radioprotection, Section Rayonnements non ionisants, 75 - Paris (France); Lecomte, J.F.; Barbier, G.; Crescini, D.; Biau, A. [CEA Fontenay aux Roses, Institut de Radioprotection et de Surete Nucleaire IRSN, 92 (France); Blain, A. [FRAMATOME, Dir. Combustible Nucleaire, Dept. Radioprotection Securite, 69 - Lyon (France); Bailloeuil, C.; Gonin, M. [Electricite de France, EDF-SCAST, 75 - Paris (France); Bergot, D. [Ministere des Affaires Sociales, du Travail et de la Solidarite, Dir. des Relations du Travail, 75 - Paris (France)

    2003-07-01

    Seven articles constitute this chapter about the radiation protection and the regulation. Radiological risk, reduction of public exposure to ultraviolet radiations, regulation for the radon, evolution of the French legislation against the dangers of ionizing radiations, the medical follow up after the professional life, the information system to reproduce the dosimetric data of workers, proposition of a scale to classify the radiations incidents in function of their seriousness. (N.C.)

  1. SIAM 2007 Text Mining Competition dataset

    Data.gov (United States)

    National Aeronautics and Space Administration — Subject Area: Text Mining Description: This is the dataset used for the SIAM 2007 Text Mining competition. This competition focused on developing text mining...

  2. Text Categorization with Latent Dirichlet Allocation

    Directory of Open Access Journals (Sweden)

    ZLACKÝ Daniel

    2014-05-01

    Full Text Available This paper focuses on the text categorization of Slovak text corpora using latent Dirichlet allocation. Our goal is to build text subcorpora that contain similar text documents. We want to use these better organized text subcorpora to build more robust language models that can be used in the area of speech recognition systems. Our previous research in the area of text categorization showed that we can achieve better results with categorized text corpora. In this paper we used latent Dirichlet allocation for text categorization. We divided initial text corpus into 2, 5, 10, 20 or 100 subcorpora with various iterations and save steps. Language models were built on these subcorpora and adapted with linear interpolation to judicial domain. The experiment results showed that text categorization using latent Dirichlet allocation can improve the system for automatic speech recognition by creating the language models from organized text corpora.

  3. Handwriting segmentation of unconstrained Oriya text

    Indian Academy of Sciences (India)

    Segmentation of handwritten text into lines, words and characters is one of the important steps in the handwritten text recognition process. In this paper we propose a water reservoir concept-based scheme for segmentation of unconstrained Oriya handwritten text into individual characters. Here, at first, the text image is ...

  4. SMIL 3.0 smilText

    OpenAIRE

    Bulterman, Dick; Mullender, Sjoerd; Cruz-Lara, S.

    2008-01-01

    htmlabstractThe functionality described in these modules provide a new media type for use in SMIL presentations. This functionality is called smilText. Unlike other media types defined in the media object module, all of which are synonyms of the ref element, the smilText modules provide a text container element with an explicit content model for defining timed text. The smilText modules also define a set of additional elements and attributes to control timed text rendering. All smilText conte...

  5. Ten Guidelines for Translating Legal Texts

    Directory of Open Access Journals (Sweden)

    Alenka Kocbek

    2017-12-01

    Full Text Available The paper proposes a targeted model for translating legal texts, developed by the author by combining translation science (i.e. functionalist approaches with the findings of comparative law and legal linguistics. It consists of ten guidelines directing the translator from defining the intended function of the target text and selecting the corresponding translation type, through comparing the legal systems involved in the translation and analysing the memetic structure of the source text and parallel texts in the target culture to designing the target text as a cultureme and ensuring its legal security.

  6. Text To Speech System for Telugu Language

    OpenAIRE

    M. Siva Kumar; E. Prakash Babu

    2014-01-01

    Telugu is one of the oldest languages in India. This paper describes the development of Telugu Text-to-Speech System (TTS).In Telugu TTS the input is Telugu text in Unicode. The voices are sampled from real recorded speech. The objective of a text to speech system is to convert an arbitrary text into its corresponding spoken waveform. Speech synthesis is a process of building machinery that can generate human-like speech from any text input to imitate human speakers. Text proc...

  7. A Proposed Arabic Handwritten Text Normalization Method

    Directory of Open Access Journals (Sweden)

    Tarik Abu-Ain

    2014-11-01

    Full Text Available Text normalization is an important technique in document image analysis and recognition. It consists of many preprocessing stages, which include slope correction, text padding, skew correction, and straight the writing line. In this side, text normalization has an important role in many procedures such as text segmentation, feature extraction and characters recognition. In the present article, a new method for text baseline detection, straightening, and slant correction for Arabic handwritten texts is proposed. The method comprises a set of sequential steps: first components segmentation is done followed by components text thinning; then, the direction features of the skeletons are extracted, and the candidate baseline regions are determined. After that, selection of the correct baseline region is done, and finally, the baselines of all components are aligned with the writing line.  The experiments are conducted on IFN/ENIT benchmark Arabic dataset. The results show that the proposed method has a promising and encouraging performance.

  8. Stylistic devices in french advertising texts

    Directory of Open Access Journals (Sweden)

    А С Борисова

    2009-09-01

    Full Text Available This article deals with the problem of stylistic devices of the lexical level, widely applied in modern French advertising texts as means of linguistic manipulation on mass consciousness.

  9. SAW Classification Algorithm for Chinese Text Classification

    Directory of Open Access Journals (Sweden)

    Xiaoli Guo

    2015-02-01

    Full Text Available Considering the explosive growth of data, the increased amount of text data’s effect on the performance of text categorization forward the need for higher requirements, such that the existing classification method cannot be satisfied. Based on the study of existing text classification technology and semantics, this paper puts forward a kind of Chinese text classification oriented SAW (Structural Auxiliary Word algorithm. The algorithm uses the special space effect of Chinese text where words have an implied correlation between text information mining and text categorization for high-correlation matching. Experiments show that SAW classification algorithm on the premise of ensuring precision in classification, significantly improve the classification precision and recall, obviously improving the performance of information retrieval, and providing an effective means of data use in the era of big data information extraction.

  10. MORPHOLOGICAL STRATEGIES IN TEXT MESSAGING AMONG ...

    African Journals Online (AJOL)

    MORPHOLOGICAL STRATEGIES IN TEXT MESSAGING AMONG NIGERIAN USERS OF GLOBAL SYSTEM FOR MOBILE COMMUNICATION. ... becoming standardized forms being adopted by the Nigerian users of GSM. Keywords: Morphology and Syntax, SMS texts, GSM (Mobile Phone), Semantics, Nigerian English.

  11. Automatic prediction of text aesthetics and interestingness

    OpenAIRE

    Ganguly, Debasis; Leveling, Johannes; Jones, Gareth J.F.

    2014-01-01

    This paper investigates the problem of automated text aesthetics prediction. The availability of user generated content and ratings, e.g. Flickr, has induced research in aesthetics prediction for non-text domains, particularly for photographic images. This problem, however, has yet not been explored for the text domain. Due to the very subjective nature of text aesthetics, it is dicult to compile human annotated data by methods such as crowd sourcing with a fair degree of inter-annotator agre...

  12. Text comprehension dependence on reading experience

    OpenAIRE

    Tilmantaitė, Kamilė

    2016-01-01

    In bachelor thesis „Text comprehension dependence on reading experience“ – is researching, how students text comprehension is dependent on reading experience. In theoretical part discussed the reading conception and reading methods are discussed as well as the text comprehension, models and reading capacity. The practical part contains of pupils of eighth and tenth classes text comprehension test analysis, questionnaire about reading experience analysis and how they both interdependent. In th...

  13. Multimodal Diversity of Postmodernist Fiction Text

    Directory of Open Access Journals (Sweden)

    U. I. Tykha

    2016-12-01

    Full Text Available The article is devoted to the analysis of structural and functional manifestations of multimodal diversity in postmodernist fiction texts. Multimodality is defined as the coexistence of more than one semiotic mode within a certain context. Multimodal texts feature a diversity of semiotic modes in the communication and development of their narrative. Such experimental texts subvert conventional patterns by introducing various semiotic resources – verbal or non-verbal.

  14. Der Text im Mittelpunkt des Fremdsprachenunterrichts

    OpenAIRE

    KOZŁOWSKI, Aleksander

    1990-01-01

    The paper presents an analysis of the importance and function of text in foreign language teaching. Two types of texts are distinguished: primary (original) and secondary (contrived) ones. The use of text in teaching is recommended mainly for two reasons: communicative-linguistic and psycholinguistic-pedagogical. In teaching texts can be used to establish a basis for the development of receptive competence (e.g. reading), or, to provide direct impulse for creating verbal statement (e.g. inter...

  15. Validating Automated Measures of Text Complexity

    Science.gov (United States)

    Sheehan, Kathleen M.

    2017-01-01

    Automated text complexity measurement tools (also called readability metrics) have been proposed as a way to help teachers, textbook publishers, and assessment developers select texts that are closely aligned with the new, more demanding text complexity expectations specified in the Common Core State Standards. This article examines a critical…

  16. Knowledge discovery data and text mining

    CERN Document Server

    Olmer, Petr

    2008-01-01

    Data mining and text mining refer to techniques, models, algorithms, and processes for knowledge discovery and extraction. Basic de nitions are given together with the description of a standard data mining process. Common models and algorithms are presented. Attention is given to text clustering, how to convert unstructured text to structured data (vectors), and how to compute their importance and position within clusters.

  17. Object reading: text recognition for object recognition

    NARCIS (Netherlands)

    Karaoglu, S.; van Gemert, J.C.; Gevers, T.

    2012-01-01

    We propose to use text recognition to aid in visual object class recognition. To this end we first propose a new algorithm for text detection in natural images. The proposed text detection is based on saliency cues and a context fusion step. The algorithm does not need any parameter tuning and can

  18. The text as a linguistic object lesson

    OpenAIRE

    Zhazheva Saida; Zhazheva Dariet

    2014-01-01

    The article considers the question of the text as a linguistic object lesson. Given the ways of the organization of thetext, the main purpose of the text is reduced to the solution of the most various tasks, and to create a variety of meanings setup by the author of the text.

  19. Refutation Texts for Effective Climate Change Education

    Science.gov (United States)

    Nussbaum, E. Michael; Cordova, Jacqueline R.; Rehmat, Abeera P.

    2017-01-01

    Refutation texts, which are texts that rebut scientific misconceptions and explain the normative concept, can be effective devices for addressing misconceptions and affecting conceptual change. However, few, if any, refutation texts specifically related to climate change have been validated for effectiveness. In this project, we developed and…

  20. The Costs of Texting in the Classroom

    Science.gov (United States)

    Lawson, Dakota; Henderson, Bruce B.

    2015-01-01

    Many college students seem to find it impossible to resist the temptation to text on electronic devices during class lectures and discussions. One common response of college professors is to yield to the inevitable and try to ignore student texting. However, research indicates that because of limited cognitive capacities, even simple texting can…

  1. Effects of Text Messaging on Academic Performance

    Directory of Open Access Journals (Sweden)

    Barks Amanda

    2011-12-01

    Full Text Available University students frequently send and receive cellular phone text messages during classroominstruction. Cognitive psychology research indicates that multi-tasking is frequently associatedwith performance cost. However, university students often have considerable experience withelectronic multi-tasking and may believe that they can devote necessary attention to a classroomlecture while sending and receiving text messages. In the current study, university students whoused text messaging were randomly assigned to one of two conditions: 1. a group that sent andreceived text messages during a lecture or, 2. a group that did not engage in text messagingduring the lecture. Participants who engaged in text messaging demonstrated significantlypoorer performance on a test covering lecture content compared with the group that did notsend and receive text messages. Participants exhibiting higher levels of text messaging skill hadsignificantly lower test scores than participants who were less proficient at text messaging. It ishypothesized that in terms of retention of lecture material, more frequent task shifting by thosewith greater text messaging proficiency contributed to poorer performance. Overall, the findingsdo not support the view, held by many university students, that this form of multitasking has littleeffect on the acquisition of lecture content. Results provide empirical support for teachers andprofessors who ban text messaging in the classroom.

  2. Female gender stereotype in French advertising texts

    Directory of Open Access Journals (Sweden)

    А С Борисова

    2008-06-01

    Full Text Available This article deals with the problem of female gender stereotypes in French advertising texts. On the ground of the practical analysis of advertising texts published in some modern French periodicals, we managed to expose and define general and national-cultural female gender stereotypes fixed in collective consciousness of the French.

  3. Teacher Modeling Using Complex Informational Texts

    Science.gov (United States)

    Fisher, Douglas; Frey, Nancy

    2015-01-01

    Modeling in complex texts requires that teachers analyze the text for factors of qualitative complexity and then design lessons that introduce students to that complexity. In addition, teachers can model the disciplinary nature of content area texts as well as word solving and comprehension strategies. Included is a planning guide for think aloud.

  4. Creating and Using Culturally Sustaining Informational Texts

    Science.gov (United States)

    Watanabe Kganetso, Lynne M.

    2017-01-01

    Current standards and assessments emphasize the importance of a variety of genres in students' literacy diets, which has placed increased attention on informational texts. Unfortunately, young students' current exposure to and experiences with informational texts are often limited by the texts' availability, quality, and relevance to children's…

  5. Center for Electronic Texts in the Humanities.

    Science.gov (United States)

    Gaunt, Marianne I.

    1994-01-01

    Describes the development and activities of the Center for Electronic Texts in the Humanities, established by Princeton University and Rutgers University to provide a national focus for the development, dissemination, and use of electronic texts in the humanities. Sidebars explain the Text Encoding Initiative and Standard Generalized Markup…

  6. Figure text extraction in biomedical literature.

    Directory of Open Access Journals (Sweden)

    Daehyun Kim

    Full Text Available BACKGROUND: Figures are ubiquitous in biomedical full-text articles, and they represent important biomedical knowledge. However, the sheer volume of biomedical publications has made it necessary to develop computational approaches for accessing figures. Therefore, we are developing the Biomedical Figure Search engine (http://figuresearch.askHERMES.org to allow bioscientists to access figures efficiently. Since text frequently appears in figures, automatically extracting such text may assist the task of mining information from figures. Little research, however, has been conducted exploring text extraction from biomedical figures. METHODOLOGY: We first evaluated an off-the-shelf Optical Character Recognition (OCR tool on its ability to extract text from figures appearing in biomedical full-text articles. We then developed a Figure Text Extraction Tool (FigTExT to improve the performance of the OCR tool for figure text extraction through the use of three innovative components: image preprocessing, character recognition, and text correction. We first developed image preprocessing to enhance image quality and to improve text localization. Then we adapted the off-the-shelf OCR tool on the improved text localization for character recognition. Finally, we developed and evaluated a novel text correction framework by taking advantage of figure-specific lexicons. RESULTS/CONCLUSIONS: The evaluation on 382 figures (9,643 figure texts in total randomly selected from PubMed Central full-text articles shows that FigTExT performed with 84% precision, 98% recall, and 90% F1-score for text localization and with 62.5% precision, 51.0% recall and 56.2% F1-score for figure text extraction. When limiting figure texts to those judged by domain experts to be important content, FigTExT performed with 87.3% precision, 68.8% recall, and 77% F1-score. FigTExT significantly improved the performance of the off-the-shelf OCR tool we used, which on its own performed with 36

  7. Bilingual Text Messaging Translation: Translating Text Messages From English Into Spanish for the Text4Walking Program.

    Science.gov (United States)

    Buchholz, Susan Weber; Sandi, Giselle; Ingram, Diana; Welch, Mary Jane; Ocampo, Edith V

    2015-05-06

    Hispanic adults in the United States are at particular risk for diabetes and inadequate blood pressure control. Physical activity improves these health problems; however Hispanic adults also have a low rate of recommended aerobic physical activity. To address improving physical inactivity, one area of rapidly growing technology that can be utilized is text messaging (short message service, SMS). A physical activity research team, Text4Walking, had previously developed an initial database of motivational physical activity text messages in English that could be used for physical activity text messaging interventions. However, the team needed to translate these existing English physical activity text messages into Spanish in order to have culturally meaningful and useful text messages for those adults within the Hispanic population who would prefer to receive text messages in Spanish. The aim of this study was to translate a database of English motivational physical activity messages into Spanish and review these text messages with a group of Spanish speaking adults to inform the use of these text messages in an intervention study. The consent form and study documents, including the existing English physical activity text messages, were translated from English into Spanish, and received translation certification as well as Institutional Review Board approval. The translated text messages were placed into PowerPoint, accompanied by a set of culturally appropriate photos depicting barriers to walking, as well as walking scenarios. At the focus group, eligibility criteria for this study included being an adult between 30 to 65 years old who spoke Spanish as their primary language. After a general group introduction, participants were placed into smaller groups of two or three. Each small group was asked to review a segment of the translated text messages for accuracy and meaningfulness. After the break out, the group was brought back together to review the text messages

  8. Text line Segmentation of Curved Document Images

    Directory of Open Access Journals (Sweden)

    Anusree.M

    2014-05-01

    Full Text Available Document image analysis has been widely used in historical and heritage studies, education and digital library. Document image analytical techniques are mainly used for improving the human readability and the OCR quality of the document. During the digitization, camera captured images contain warped document due perspective and geometric distortions. The main difficulty is text line detection in the document. Many algorithms had been proposed to address the problem of printed document text line detection, but they failed to extract text lines in curved document. This paper describes a segmentation technique that detects the curled text line in camera captured document images.

  9. The Instructional Text like a Textual Genre

    Directory of Open Access Journals (Sweden)

    Adiane Fogali Marinello

    2011-07-01

    Full Text Available This article analyses the instructional text as a textual genre and is part of the research called Reading and text production from the textual genre perspective, done at Universidade de Caxias do Sul, Campus Universitário da Região dos Vinhedos. Firstly, some theoretical assumptions about textual genre are presented, then, the instructional text is characterized. After that an instructional text is analyzed and, finally, some activities related to reading and writing of the mentioned genre directed to High School and University students are suggested.

  10. An Embedded Application for Degraded Text Recognition

    Directory of Open Access Journals (Sweden)

    Thillou Céline

    2005-01-01

    Full Text Available This paper describes a mobile device which tries to give the blind or visually impaired access to text information. Three key technologies are required for this system: text detection, optical character recognition, and speech synthesis. Blind users and the mobile environment imply two strong constraints. First, pictures will be taken without control on camera settings and a priori information on text (font or size and background. The second issue is to link several techniques together with an optimal compromise between computational constraints and recognition efficiency. We will present the overall description of the system from text detection to OCR error correction.

  11. 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.

  12. Text-speak processing impairs tactile location.

    Science.gov (United States)

    Head, James; Helton, William; Russell, Paul; Neumann, Ewald

    2012-09-01

    Dual task experiments have highlighted that driving while having a conversation on a cell phone can have negative impacts on driving (Strayer & Drews, 2007). It has also been noted that this negative impact is greater when reading a text-message (Lee, 2007). Commonly used in text-messaging are shortening devices collectively known as text-speak (e.g.,Ys I wll ttyl 2nite, Yes I will talk to you later tonight). To the authors' knowledge, there has been no investigation into the potential negative impacts of reading text-speak on concurrent performance on other tasks. Forty participants read a correctly spelled story and a story presented in text-speak while concurrently monitoring for a vibration around their waist. Slower reaction times and fewer correct vibration detections occurred while reading text-speak than while reading a correctly spelled story. The results suggest that reading text-speak imposes greater cognitive load than reading correctly spelled text. These findings suggest that the negative impact of text messaging on driving may be compounded by the messages being in text-speak, instead of orthographically correct text. Copyright © 2012 Elsevier B.V. All rights reserved.

  13. 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.

  14. Text mining with R a tidy approach

    CERN Document Server

    Silge, Julia

    2017-01-01

    Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective. The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media. Learn how to apply the tidy text format to NLP Use sentiment analysis to mine the emotional content of text Identify a document's most important terms with frequency measurements E...

  15. Predictions for the [Formula: see text] decay.

    Science.gov (United States)

    Roca, L; Mai, M; Oset, E; Meißner, Ulf-G

    We calculate the shape of the [Formula: see text] and [Formula: see text] invariant mass distributions in the [Formula: see text] and [Formula: see text] decays that are dominated by the [Formula: see text] resonance. The weak interaction part is the same for both processes and the hadronization into the different meson-baryon channels in the final state is given by symmetry arguments. The most important feature is the implementation of the meson-baryon final-state interaction using two chiral unitary models from different theoretical groups. Both approaches give a good description of antikaon-nucleon scattering data, the complex energy shift in kaonic hydrogen and the line shapes of [Formula: see text] in photoproduction, based on the two-pole scenario for the [Formula: see text]. We find that this reaction reflects more the higher mass pole and we make predictions of the line shapes and relative strength of the meson-baryon distributions in the final state.

  16. CRIE: An automated analyzer for Chinese texts.

    Science.gov (United States)

    Sung, Yao-Ting; Chang, Tao-Hsing; Lin, Wei-Chun; Hsieh, Kuan-Sheng; Chang, Kuo-En

    2016-12-01

    Textual analysis has been applied to various fields, such as discourse analysis, corpus studies, text leveling, and automated essay evaluation. Several tools have been developed for analyzing texts written in alphabetic languages such as English and Spanish. However, currently there is no tool available for analyzing Chinese-language texts. This article introduces a tool for the automated analysis of simplified and traditional Chinese texts, called the Chinese Readability Index Explorer (CRIE). Composed of four subsystems and incorporating 82 multilevel linguistic features, CRIE is able to conduct the major tasks of segmentation, syntactic parsing, and feature extraction. Furthermore, the integration of linguistic features with machine learning models enables CRIE to provide leveling and diagnostic information for texts in language arts, texts for learning Chinese as a foreign language, and texts with domain knowledge. The usage and validation of the functions provided by CRIE are also introduced.

  17. THE INDICES OF EXAMINATION TEXTS COMPLEXITY

    Directory of Open Access Journals (Sweden)

    Solnyshkina Marina Ivanovna

    2015-03-01

    Full Text Available The article presents the results of the analysis aimed at quantitative (word length and sentence length and qualitative (narrativity, syntactic simplicity, word concreteness, referential cohesion and deep cohesion characteristics used in Flesh Reading Ease and Coh-Metrix to determine complexity/simplicity of FCE and EGE examination texts corresponding to B2 level by Common European Framework of References. The data used in the research include18 examination texts of three language tests analogous in structure and content: in Russian (Test of Russian as a Foreign Language and in English (Unified (Russia State Examination in English (EGE and First Certificate Examination (FCE. Flesch Reading Ease indices of all the Russian texts analyzed testify to their higher level of complexity than the announced in the corresponding papers (B2. The English texts correspond to the Level B2 by CEFR. The computerized with Coh-Metrix texts utilized in EGE and FCE prove to belong to B2 level, though the EGE texts demonstrate on average higher than FCE texts levels of concreteness but lower levels of syntactic simplicity. Maintaining approximately equal levels of concreteness EGE and FCE texts obtain about the same levels of complexity (B2 due to the differences in the number of verbalized local and global content links. Thus, the Russian test developers model the authentic English texts for examination purposes eliminating the connectives and verbalizing referential and deep cohesion.

  18. Biomechanical patterns of text-message distraction.

    Science.gov (United States)

    Le, Peter; Hwang, Jaejin; Grawe, Sarah; Li, Jing; Snyder, Alison; Lee, Christina; Marras, William S

    2015-01-01

    The objective of this study was to identify biomechanical measures that can distinguish texting distraction in a laboratory-simulated driving environment. The goal would be to use this information to provide an intervention for risky driving behaviour. Sixteen subjects participated in this study. Three independent variables were tested: task (texting, visual targeting, weighted and non-weighted movements), task direction (front and side) and task distance (close and far). Dependent variables consisted of biomechanical moments, head displacement and the length of time to complete each task. Results revealed that the time to complete each task was higher for texting compared to other tasks. Peak moments during texting were only distinguishable from visual targeting. Peak head displacement and cumulative biomechanical exposure measures indicated that texting can be distinguished from other tasks. Therefore, it may be useful to take into account both temporal and biomechanical measures when considering warning systems to detect texting distraction.

  19. NEW TECHNIQUES USED IN AUTOMATED TEXT ANALYSIS

    Directory of Open Access Journals (Sweden)

    M. I strate

    2010-12-01

    Full Text Available Automated analysis of natural language texts is one of the most important knowledge discovery tasks for any organization. According to Gartner Group, almost 90% of knowledge available at an organization today is dispersed throughout piles of documents buried within unstructured text. Analyzing huge volumes of textual information is often involved in making informed and correct business decisions. Traditional analysis methods based on statistics fail to help processing unstructured texts and the society is in search of new technologies for text analysis. There exist a variety of approaches to the analysis of natural language texts, but most of them do not provide results that could be successfully applied in practice. This article concentrates on recent ideas and practical implementations in this area.

  20. Choices of texts for literary education

    DEFF Research Database (Denmark)

    Skyggebjerg, Anna Karlskov

    This paper charts the general implications of the choice of texts for literature teaching in the Danish school system, especially in Grades 8 and 9. It will analyze and discuss the premises of the choice of texts, and the possibilities of a certain choice of text in a concrete classroom situation....... The teaching of literature has a double bind. On the one hand, there is a subject (Danish) and a curriculum with a certain type of texts with cultural and even national connotations, and the limits of the choice of texts and curriculum are decided by the state. On the other hand, there are some concrete...... readers with literary interests, competences, possibilities, needs, etc. Generally speaking the criteria for the choice of texts for teaching literature in Danish schools have been dominated by considerations for the subject and Literature in itself. The predominant view of literature comes from...

  1. Science and Technology Text Mining: Wireless LANS

    Science.gov (United States)

    2005-01-01

    Page 1 SCIENCE AND TECHNOLOGY TEXT MINING : WIRELESS LANS By Dr. Ronald N. Kostoff Office of Naval Research 874 North Randolph...Minnesota) KEYWORDS: Wireless LANs; Database Tomography; text mining ; clustering; computational linguistics; bibliometrics; scientometrics...Technology Text Mining : Wireless LANS 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER

  2. Text Localization for Unmanned Ground Vehicles

    OpenAIRE

    Kirchhoff, Allan Richard

    2014-01-01

    Unmanned ground vehicles (UGVs) are increasingly being used for civilian and military applications. Passive sensing, such as visible cameras, are being used for navigation and object detection. An additional object of interest in many environments is text. Text information can supplement the autonomy of unmanned ground vehicles. Text most often appears in the environment in the form of road signs and storefront signs. Road hazard information, unmapped route detours and tra...

  3. Preparation and exploitation of bilingual texts

    OpenAIRE

    Vitas, Dusko; Krstev, Cvetana; Laporte, Eric

    2006-01-01

    International audience; A bitext is a merged document composed of two versions of a given text, usually in two different languages. An aligned bitext is produced by an alignment tool or aligner, that automatically aligns or matches the versions of the same text, generally sentence by sentence. A multilingual aligned corpus or collection of aligned bitexts, when consulted with a search tool, can be extremely useful for translation, language teaching and the investigation of literary text. This...

  4. Science and Technology Text Mining Basic Concepts

    National Research Council Canada - National Science Library

    Losiewicz, Paul

    2003-01-01

    ...). It then presents some of the most widely used data and text mining techniques, including clustering and classification methods, such as nearest neighbor, relational learning models, and genetic...

  5. Reading of Foreign Language Technical Texts

    Directory of Open Access Journals (Sweden)

    Metka Brkan

    1997-01-01

    Full Text Available An efficient foreign language reader is one who has approached the reading flexibility of a native speaker as he reads different texts presented in his environment: newspaper articles, magazins, personal letters, business correspondence, official documents, academic textbooks and scientific and technical texts. Flexibility in reading means increased speed as well as enhanced comprehension: an efficient re­ ader should read fast with needed comprehension. A poor reader is one who reacts everything slowly without getting much meaning from reading. The article focuses on techniques for developing foreign language reading skills of university students to cape with the reading of English technical texts.

  6. Multilingual Text Detection with Nonlinear Neural Network

    Directory of Open Access Journals (Sweden)

    Lin Li

    2015-01-01

    Full Text Available Multilingual text detection in natural scenes is still a challenging task in computer vision. In this paper, we apply an unsupervised learning algorithm to learn language-independent stroke feature and combine unsupervised stroke feature learning and automatically multilayer feature extraction to improve the representational power of text feature. We also develop a novel nonlinear network based on traditional Convolutional Neural Network that is able to detect multilingual text regions in the images. The proposed method is evaluated on standard benchmarks and multilingual dataset and demonstrates improvement over the previous work.

  7. Identifying Polarity in Different Text Types

    OpenAIRE

    Hille Pajupuu; Rene Altrov; Jaan Pajupuu

    2016-01-01

    While Sentiment Analysis aims to identify the writer’s attitude toward individuals, events or topics, our aim is to predict the possible effect of a written text on the reader. For this purpose, we created an automatic identifier of the polarity of Estonian texts, which is independent of domain and of text type. Depending on the approach chosen – lexicon-based or machine learning – the identifier uses either a lexicon of words with a positive or negative connotation, or a text corpus where or...

  8. TEXT TYPES AND THE PROBLEM OF TRANSLATABILITY

    Directory of Open Access Journals (Sweden)

    Kharitonova, E.V.

    2017-09-01

    Full Text Available The article aims at revealing the possibilities of a textual approach to the process and result of translation activity from a new perspective and stating the inviolability of the text as the main category of Translation Studies. The results of the conducted research show that the complex nature of translation requires con-sideration of a wide variety of factors, but the final set of parameters relevant to the translation process depends on the text, since it is the text that determines the primary and secondary communicative situations.

  9. Searches for ttH and tH with $\\text{H}\\rightarrow\\text{b}\\bar{\\text{b}}$

    CERN Document Server

    Schroeder, Matthias

    2016-01-01

    The associated production of a Higgs boson with a top quark-antiquark pair (ttH production) or with a single top quark (tH production) allows a direct measurement of the top-Higgs-Yukawa coupling with minimal model dependence. In this article, recent results of searches for ttH and tH production in the $\\text{H}\\rightarrow\\text{b}\\bar{\\text{b}}$ channel performed by the ATLAS and CMS experiments are reviewed. The analyses use pp collision data collected at a centre-of-mass energy of $13\\,$TeV corresponding to an integrated luminosity of up to 13.2$\\,\\text{fb}^{-1}$.

  10. Diode and Diode Circuits, a Programmed Text.

    Science.gov (United States)

    Balabanian, Norman; Kirwin, Gerald J.

    This programed text on diode and diode circuits was developed under contract with the United States Office of Education as Number 4 in a series of materials for use in an electrical engineering sequence. It is intended as a supplement to a regular text and other instructional material. (DH)

  11. 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…

  12. Text mining and visualization using VOSviewer

    CERN Document Server

    van Eck, Nees Jan

    2011-01-01

    VOSviewer is a computer program for creating, visualizing, and exploring bibliometric maps of science. In this report, the new text mining functionality of VOSviewer is presented. A number of examples are given of applications in which VOSviewer is used for analyzing large amounts of text data.

  13. Texts, Transmissions, Receptions. Modern Approaches to Narratives

    NARCIS (Netherlands)

    Lardinois, A.P.M.H.; Levie, S.A.; Hoeken, H.; Lüthy, C.H.

    2015-01-01

    The papers collected in this volume study the function and meaning of narrative texts from a variety of perspectives. The word 'text' is used here in the broadest sense of the term: it denotes literary books, but also oral tales, speeches, newspaper articles and comics. One of the purposes of this

  14. Opening Mathematics Texts: Resisting the Seduction

    Science.gov (United States)

    Wagner, David

    2012-01-01

    This analysis of the writing in a grade 7 mathematics textbook distinguishes between closed texts and open texts, which acknowledge multiple possibilities. I use tools that have recently been applied in mathematics contexts, focussing on grammatical features that include personal pronouns, modality, and types of imperatives, as well as on…

  15. Classifying Written Texts Through Rhythmic Features

    NARCIS (Netherlands)

    Balint, Mihaela; Dascalu, Mihai; Trausan-Matu, Stefan

    2016-01-01

    Rhythm analysis of written texts focuses on literary analysis and it mainly considers poetry. In this paper we investigate the relevance of rhythmic features for categorizing texts in prosaic form pertaining to different genres. Our contribution is threefold. First, we define a set of rhythmic

  16. Multimodality, Literacy and Texts: Developing a Discourse

    Science.gov (United States)

    Bearne, Eve

    2009-01-01

    This article argues for the development of a framework through which to describe children's multimodal texts. Such a shared discourse should be capable of including different modes and media and the ways in which children integrate and combine them for their own meaning-making purposes. It should also acknowledge that multimodal texts are not…

  17. Tagalog for Beginners. PALI Language Texts: Philippines.

    Science.gov (United States)

    Ramos, Teresita V.; de Guzman, Videa

    This language textbook is designed for beginning students of Tagalog, the principal language spoken on the island of Luzon in the Philippines. The introduction discusses the history of Tagalog and certain features of the language. An explanation of the text is given, along with notes for the teacher. The text itself is divided into nine sections:…

  18. An Intelligent System For Arabic Text Categorization

    NARCIS (Netherlands)

    Syiam, M.M.; Tolba, Mohamed F.; Fayed, Z.T.; Abdel-Wahab, Mohamed S.; Ghoniemy, Said A.; Habib, Mena Badieh

    Text Categorization (classification) is the process of classifying documents into a predefined set of categories based on their content. In this paper, an intelligent Arabic text categorization system is presented. Machine learning algorithms are used in this system. Many algorithms for stemming and

  19. Arabic Text Classification Using Support Vector Machines

    NARCIS (Netherlands)

    Gharib, Tarek F.; Habib, Mena B.; Fayed, Zaki T.

    2009-01-01

    Text classification (TC) is the process of classifying documents into a predefined set of categories based on their content. Arabic language is highly inflectional and derivational language which makes text mining a complex task. In this paper we applied the Support Vector Machines (SVM) model in

  20. A quick survey of text categorization algorithms

    OpenAIRE

    Dan MUNTEANU

    2007-01-01

    This paper contains an overview of basic formulations and approaches to text classification. This paper surveys the algorithms used in text categorization: handcrafted rules, decision trees, decision rules, on-line learning, linear classifier, Rocchio’s algorithm, k Nearest Neighbor (kNN), Support Vector Machines (SVM).

  1. Using Digital Texts to Promote Fluent Reading

    Science.gov (United States)

    Thoermer, Andrea; Williams, Lunetta

    2012-01-01

    Fluency is a critical skill of adept readers. As listening to read alouds and performing Readers Theatre scripts are two prevalent strategies that can increase students' fluency skills, this article provides suggestions in using these strategies with digital texts through free, online resources. Digital texts can be accessed using a desktop,…

  2. Text comprehension strategy instruction with poor readers

    NARCIS (Netherlands)

    Van den Bos, K.P.; Aarnoudse, C.C.; Brand-Gruwel, S.

    1998-01-01

    The goal of this study was to investigate the effects of teaching text comprehension strategies to children with decoding and reading comprehension problems and with a poor or normal listening ability. Two experiments are reported. Four text comprehension strategies, viz., question generation,

  3. Rapid and effective synthesis of $\\text{}^{40}\\text{Ca}-\\text{}^{27}\\text{Al}$ ion pair towards quantum logic optical clock

    CERN Document Server

    Shang, Junjuan; Cao, Jian; Wang, Shaomao; Shu, Hualin; Huang, Xueren

    2016-01-01

    High precision atomic clocks have been applied not only to very important technological problems such as synchronization and global navigation systems, but to the fundament precision measurement physics. Single $\\text{}^{27}\\text{Al}^+$ is one of the most attractions of selection system due to its very low blackbody radiation effect which dominates frequency shifts in other optical clock systems. Up to now, the $\\text{}^{27}\\text{Al}^+$ still could not be laser-cooled directly by reason that the absence of 167nm laser. Sympathetic cooling is a viable method to solve this problem. In this work, we used a single laser cooled $\\text{}^{40}\\text{Ca}^+$ to sympathetically cool one $\\text{}^{27}\\text{Al}^+$ in linear Paul trap. Comparing to laser ablation method we got a much lower velocity atoms sprayed from a home-made atom oven, which would make loading aluminum ion more efficient and the sympathetic cooling much easier. By the method of precisely measuring the secular frequency of the ion pair, finally we prove...

  4. Tree patterns with full text search

    NARCIS (Netherlands)

    Peetz, M.H.; Marx, M.

    2010-01-01

    Tree patterns with full text search form the core of both XQuery Full Text and the NEXI query language. On such queries, users expect a relevance-ranked list of XML elements as an answer. But this requirement may lead to undesirable behavior of XML retrieval systems: two queries which are

  5. The socio-demographics of texting

    DEFF Research Database (Denmark)

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

    2012-01-01

    messages go to only five other persons. Finally, we find that there is pronounced homophily in terms of age and gender in texting relationships. These findings support previous claims that texting is an important element of teen culture and is an element in the construction of a bounded solidarity....

  6. Ontology Assisted Formal Specification Extraction from Text

    Directory of Open Access Journals (Sweden)

    Andreea Mihis

    2010-12-01

    Full Text Available In the field of knowledge processing, the ontologies are the most important mean. They make possible for the computer to understand better the natural language and to make judgments. In this paper, a method which use ontologies in the semi-automatic extraction of formal specifications from a natural language text is proposed.

  7. Modeling text with generalizable Gaussian mixtures

    DEFF Research Database (Denmark)

    Hansen, Lars Kai; Sigurdsson, Sigurdur; Kolenda, Thomas

    2000-01-01

    We apply and discuss generalizable Gaussian mixture (GGM) models for text mining. The model automatically adapts model complexity for a given text representation. We show that the generalizability of these models depends on the dimensionality of the representation and the sample size. We discuss...

  8. Text mining for the biocuration workflow.

    Science.gov (United States)

    Hirschman, Lynette; Burns, Gully A P C; Krallinger, Martin; Arighi, Cecilia; Cohen, K Bretonnel; Valencia, Alfonso; Wu, Cathy H; Chatr-Aryamontri, Andrew; Dowell, Karen G; Huala, Eva; Lourenço, Anália; Nash, Robert; Veuthey, Anne-Lise; Wiegers, Thomas; Winter, Andrew G

    2012-01-01

    Molecular biology has become heavily dependent on biological knowledge encoded in expert curated biological databases. As the volume of biological literature increases, biocurators need help in keeping up with the literature; (semi-) automated aids for biocuration would seem to be an ideal application for natural language processing and text mining. However, to date, there have been few documented successes for improving biocuration throughput using text mining. Our initial investigations took place for the workshop on 'Text Mining for the BioCuration Workflow' at the third International Biocuration Conference (Berlin, 2009). We interviewed biocurators to obtain workflows from eight biological databases. This initial study revealed high-level commonalities, including (i) selection of documents for curation; (ii) indexing of documents with biologically relevant entities (e.g. genes); and (iii) detailed curation of specific relations (e.g. interactions); however, the detailed workflows also showed many variabilities. Following the workshop, we conducted a survey of biocurators. The survey identified biocurator priorities, including the handling of full text indexed with biological entities and support for the identification and prioritization of documents for curation. It also indicated that two-thirds of the biocuration teams had experimented with text mining and almost half were using text mining at that time. Analysis of our interviews and survey provide a set of requirements for the integration of text mining into the biocuration workflow. These can guide the identification of common needs across curated databases and encourage joint experimentation involving biocurators, text mining developers and the larger biomedical research community.

  9. Handwriting segmentation of unconstrained Oriya text

    Indian Academy of Sciences (India)

    Indian language; Oriya script; character segmentation; handwriting recognition. 1. Introduction. Segmentation of handwritten text into lines, words and characters is one of the important steps in the handwritten script recognition process. The task of individual text-line segmentation from unconstrained handwritten documents ...

  10. Hebrew Text Database ETCBC4b

    NARCIS (Netherlands)

    Roorda, Dirk; van Peursen, Wido Th.; Sikkel, Constantijn

    2015-01-01

    The ETCBC database of the Hebrew Bible, contains the scholarly text of the Hebrew Bible with linguistic markup. A previous version, Hebrew Text Database ETCBC4, can be found in EASY (see the link below). See the description there for more details. The present dataset is a new version: (A) the

  11. Flexible frontiers for text division into rows

    Directory of Open Access Journals (Sweden)

    Dan L. Lacrămă

    2009-01-01

    Full Text Available This paper presents an original solution for flexible hand-written text division into rows. Unlike the standard procedure, the proposed method avoids the isolated characters extensions amputation and reduces the recognition error rate in the final stage.

  12. Adaptive Text Entry for Mobile Devices

    DEFF Research Database (Denmark)

    Proschowsky, Morten Smidt

    to improve the models of human motor behaviour. TUP-Key is a variant of TUP, designed for 12 key phone keyboards. It is introduced in the thesis but has not been implemented or evaluated. Both text entry methods support adaptive context-aware language models. YourText is a framework for adaptive context...... for mobile devices and a framework for adaptive context-aware language models. Based on analysis of current text entry methods, the requirements to the new text entry methods are established. Transparent User guided Prediction (TUP) is a text entry method for devices with one dimensional touch input. It can...... be touch sensitive wheels, sliders or similar input devices. The interaction design of TUP is done with a combination of high level task models and low level models of human motor behaviour. Three prototypes of TUP are designed and evaluated by more than 30 users. Observations from the evaluations are used...

  13. NOTICING HYBRID RECASTS IN TEXT CHAT

    Directory of Open Access Journals (Sweden)

    Mark J. Oliver

    2016-12-01

    Full Text Available This study examined ten EFL learners’ noticing of the corrective nature of a form of text-based SCMC (text chat feedback that combined a recast of a grammatical error with metalinguistic information. The feedback, termed a hybrid recast, was provided by a native-speaker interlocutor during two text chat activities: a spot-the-difference and picture-ordering task. Data was collected in two ways: analysis of task-based dyadic text chat interaction in which uptake was used as an indicator of learner noticing, and a post-task questionnaire containing questions that identified evidence of learner noticing. Interaction analysis showed that learners responded to almost two thirds of the hybrid recasts with uptake. In addition, every learner provided evidence that they had correctly perceived at least some of the hybrid recasts as corrective in their post-task questionnaire responses.

  14. Frontiers of biomedical text mining: current progress

    Science.gov (United States)

    Zweigenbaum, Pierre; Demner-Fushman, Dina; Yu, Hong; Cohen, Kevin B.

    2008-01-01

    It is now almost 15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. Enormous progress has been made in the areas of information retrieval, evaluation methodologies and resource construction. Some problems, such as abbreviation-handling, can essentially be considered solved problems, and others, such as identification of gene mentions in text, seem likely to be solved soon. However, a number of problems at the frontiers of biomedical text mining continue to present interesting challenges and opportunities for great improvements and interesting research. In this article we review the current state of the art in biomedical text mining or ‘BioNLP’ in general, focusing primarily on papers published within the past year. PMID:17977867

  15. Using Genetic Algorithms for Texts Classification Problems

    Directory of Open Access Journals (Sweden)

    A. A. Shumeyko

    2009-01-01

    Full Text Available The avalanche quantity of the information developed by mankind has led to concept of automation of knowledge extraction – Data Mining ([1]. This direction is connected with a wide spectrum of problems - from recognition of the fuzzy set to creation of search machines. Important component of Data Mining is processing of the text information. Such problems lean on concept of classification and clustering ([2]. Classification consists in definition of an accessory of some element (text to one of in advance created classes. Clustering means splitting a set of elements (texts on clusters which quantity are defined by localization of elements of the given set in vicinities of these some natural centers of these clusters. Realization of a problem of classification initially should lean on the given postulates, basic of which – the aprioristic information on primary set of texts and a measure of affinity of elements and classes.

  16. Text messaging reduces analgesic requirements during surgery.

    Science.gov (United States)

    Guillory, Jamie E; Hancock, Jeffrey T; Woodruff, Christopher; Keilman, Jeffrey

    2015-04-01

    This study aims to determine whether communicating via short message service text message during surgery procedures leads to decreased intake of fentanyl for patients receiving regional anesthesia below the waist compared with a distraction condition and no intervention. Ninety-eight patients receiving regional anesthesia for minor surgeries were recruited from a hospital in Montreal, QC, between January and March 2012. Patients were randomly assigned to text message with a companion, text message with a stranger, play a distracting mobile phone game, or receive standard perioperative management. Participants who were asked to text message or play a game did so before receiving the anesthetic and continued until the end of the procedure. The odds of receiving supplemental analgesia during surgery for patients receiving standard perioperative management were 6.77 (P=0.009; N=13/25) times the odds for patients in the text a stranger condition (N=22/25 of patients), 4.39 times the odds for those in the text a companion condition (P=0.03; N=19/23), and 1.96 times the odds for those in the distraction condition (P=0.25; N=17/25). Text messaging during surgery provides analgesic-sparing benefits that surpass distraction techniques, suggesting that mobile phones provide new opportunities for social support to improve patient comfort and reduce analgesic requirements during minor surgeries and in other clinical settings. Wiley Periodicals, Inc.

  17. Retracing the Text: Francisco Brines' Poemas excluidos

    Directory of Open Access Journals (Sweden)

    Judith Nantell

    1989-08-01

    Full Text Available In 198S Francisco Brines published Poemas excluidos [Excluded Poems] . In this work he included, ironically and paradoxically (considering the title, various poems that had been excluded from his previously published collections of poetry. This essay investigates the critical activity of reconstructing the text within the included-excluded intertextual context of Brines' poetic production. In particular, as will be shown, Poemas excluidos demonstrates the play of texts and play of meaning that constitute the complex object the literary critic seeks to describe. One aspect of the play of texts evident in this work is that the poem is a symbiont not only of other poems of the collection but also of earlier and later poems of Brines' other collections. From this symbiosis arises the interplay of texts and the indeterminacy of meaning of Poemas excluidos . Textual reconstruction yields yet another important result. As critics attempt to untangle the tangle of texts, they become more and more caught up in the snarl of texts, and the play of meaning of the object scrutinized. Critical commentary, then, itself becomes yet one more thread in the intricate intertextual web of Poemas excluidos .

  18. Condensing biomedical journal texts through paragraph ranking.

    Science.gov (United States)

    Chiang, Jung-Hsien; Liu, Heng-Hui; Huang, Yi-Ting

    2011-04-15

    The growing availability of full-text scientific articles raises the important issue of how to most efficiently digest full-text content. Although article titles and abstracts provide accurate and concise information on an article's contents, their brevity inevitably entails the loss of detail. Full-text articles provide those details, but require more time to read. The primary goal of this study is to combine the advantages of concise abstracts and detail-rich full-texts to ease the burden of reading. We retrieved abstract-related paragraphs from full-text articles through shared keywords between the abstract and paragraphs from the main text. Significant paragraphs were then recommended by applying a proposed paragraph ranking approach. Finally, the user was provided with a condensed text consisting of these significant paragraphs, allowing the user to save time from perusing the whole article. We compared the performance of the proposed approach with a keyword counting approach and a PageRank-like approach. Evaluation was conducted in two aspects: the importance of each retrieved paragraph and the information coverage of a set of retrieved paragraphs. In both evaluations, the proposed approach outperformed the other approaches. jchiang@mail.ncku.edu.tw.

  19. Word and text processing in acquired prosopagnosia.

    Science.gov (United States)

    Hills, Charlotte S; Pancaroglu, Raika; Duchaine, Brad; Barton, Jason J S

    2015-08-01

    A novel hypothesis of object recognition asserts that multiple regions are engaged in processing an object type, and that cerebral regions participate in processing multiple types of objects. In particular, for high-level expert processing, it proposes shared rather than dedicated resources for word and face perception, and predicts that prosopagnosic subjects would have minor deficits in visual word processing, and alexic subjects would have subtle impairments in face perception. In this study, we evaluated whether prosopagnosic subjects had deficits in processing either the word content or the style of visual text. Eleven prosopagnosic subjects, 6 with unilateral right lesions and 5 with bilateral lesions, participated. In the first study, we evaluated their word length effect in reading single words. In the second study, we assessed their time and accuracy for sorting text by word content independent of style, and for sorting text by handwriting or font style independent of word content. Only subjects with bilateral lesions showed mildly elevated word length effects. Subjects were not slowed in sorting text by word content, but were nearly uniformly impaired in accuracy for sorting text by style. Our results show that prosopagnosic subjects are impaired not only in face recognition but also in perceiving stylistic aspects of text. This supports a modified version of the many-to-many hypothesis that incorporates hemispheric specialization for processing different aspects of visual text. © 2015 American Neurological Association.

  20. NOTICING AND TEXT-BASED CHAT

    Directory of Open Access Journals (Sweden)

    Chun Lai

    2006-09-01

    Full Text Available This study examined the capacity of text-based online chat to promote learners’ noticing of their problematic language productions and of the interactional feedback from their interlocutors. In this study, twelve ESL learners formed six mixed-proficiency dyads. The same dyads worked on two spot-the-difference tasks, one via online chat and the other through face-to-face conversation. Stimulated recall sessions were held subsequently to identify instances of noticing. It was found that text-based online chat promotes noticing more than face-to-face conversations, especially in terms of learners’ noticing of their own linguistic mistakes.

  1. User's Epistle on Text Chat Tool Acquisition

    National Research Council Canada - National Science Library

    Simpson, Jr, Marvin L

    2006-01-01

    .... With a revolutionary technology like text chat, a monopoly of naysayers produce a litany of obstacles that predict inevitable failure and a monopoly of ideologues insist that only the purest implementation can succeed...

  2. Information fusion for automatic text classification

    Energy Technology Data Exchange (ETDEWEB)

    Dasigi, V. [Department of Computer Science and Information Technology, Sacred Heart University, Fairfield, CT (United States); Mann, R.C.; Protopopescu, V.A. [Computer and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN (United States)

    1996-08-01

    Analysis and classification of free text documents encompass decision-making processes that rely on several clues derived from text and other contextual information. When using multiple clues, it is generally not known a priori how these should be integrated into a decision. An algorithmic sensor based on Latent Semantic Indexing (LSI) (a recent successful method for text retrieval rather than classification) is the primary sensor used in our work, but its utility is limited by the {ital reference}{ital library} of documents. Thus, there is an important need to complement or at least supplement this sensor. We have developed a system that uses a neural network to integrate the LSI-based sensor with other clues derived from the text. This approach allows for systematic fusion of several information sources in order to determine a combined best decision about the category to which a document belongs.

  3. Agenda-Setting by Electronic Text News.

    Science.gov (United States)

    Heeter, Carrie; And Others

    1989-01-01

    Examines the agenda-setting impacts of electronic text news (ETN) and reactions to ETN as a news medium. Finds that electronic news viewers have nearly the same agenda as do users of traditional media. (MM)

  4. Cohesion and Metaphor Aspects in Andabhuana Text

    Directory of Open Access Journals (Sweden)

    Ida Bagus Mahardika

    2015-02-01

    Full Text Available Cohesion and metaphor are the unique and interesting parts of language aspects in Andhabhuan text to research. They are quite dominant aspects in the story in developing its literature aesthetic. This research is based on the arts technical and analytical method. The result of the research on those two aspects shows that traditional aesthetic style in arts, as described in Andabhuana verses emphasize on the reference, meaning, selection and variation of words. The language parts used are aimed at bringing the text ideology to humanity perspective, especially the ?iwatattwa values as parts of Hindu teaching. Hence the cohesion and metaphor in Andabhuana text  are  semiotic description to transform to Balinese Hindus as most of them follow ?iwatattwa belief.

  5. Voice to Text Language Translation (VTLT) Project

    Data.gov (United States)

    National Aeronautics and Space Administration — A feasibility analysis of adding a second modality to pilot/Air Traffic Control (ATC) communications. The real time availability of text in Air Traffic Control...

  6. MedlinePlus: Palliative Care Texts

    Science.gov (United States)

    ... only collect your phone number to provide the messaging service. Your number is not sold or shared with anyone or used for any commercial purposes. For more information read our Privacy Policy . This year long text message campaign is ...

  7. Texting your way to healthier eating?

    DEFF Research Database (Denmark)

    Pedersen, Susanne; Grønhøj, Alice; Thøgersen, John

    2016-01-01

    , in addition, a 45-min nutrition education session from a dietitian during school. The direct effects of the interventions were not significant. However, for adolescents participating in the SMS routines, there were significant effects of the level of engagement in the intervention, reflected in the number......This study investigates the effects of a feedback intervention employing text messaging during 11 weeks on adolescents’ behavior, self-efficacy and outcome expectations regarding fruit and vegetable intake. A pre- and post-survey was completed by 1488 adolescents school-wise randomly allocated...... of sent text messages, on intervention outcomes. Participantssendingmorethanhalfofthepossible text messages significantly increased their fruit and vegetable intake. Participants sending between 10% and 50% of the possible text messages experienced a significant drop in self-efficacy and those sending less...

  8. Punctuation effects in english and esperanto texts

    Science.gov (United States)

    Ausloos, M.

    2010-07-01

    A statistical physics study of punctuation effects on sentence lengths is presented for written texts: Alice in wonderland and Through a looking glass. The translation of the first text into esperanto is also considered as a test for the role of punctuation in defining a style, and for contrasting natural and artificial, but written, languages. Several log-log plots of the sentence-length-rank relationship are presented for the major punctuation marks. Different power laws are observed with characteristic exponents. The exponent can take a value much less than unity ( ca. 0.50 or 0.30) depending on how a sentence is defined. The texts are also mapped into time series based on the word frequencies. The quantitative differences between the original and translated texts are very minutes, at the exponent level. It is argued that sentences seem to be more reliable than word distributions in discussing an author style.

  9. Monolingual accounting dictionaries for EFL text production

    DEFF Research Database (Denmark)

    Nielsen, Sandro

    2006-01-01

    of information. By identifying and analysing the users' factual and linguistic competences, user needs, use-situations and the stages involved in producing accounting texts in English as a foreign language, lexicographers will have a sound basis for designing the optimal English accounting dictionary for EFL...... that deal with these aspects are necessary for the international user group as they produce subject-field specific and register-specific texts in a foreign language, and the data items are relevant for the various stages in text production: draft writing, copyediting, stylistic editing and proofreading.......Monolingual accounting dictionaries are important for producing financial reporting texts in English in an international setting, because of the lack of specialised bilingual dictionaries. As the intended user groups have different factual and linguistic competences, they require specific types...

  10. Monolingual accounting dictionaries for EFL text production

    DEFF Research Database (Denmark)

    Nielsen, Sandro

    2006-01-01

    Monolingual accounting dictionaries are important for producing financial reporting texts in English in an international setting, because of the lack of specialised bilingual dictionaries. As the intended user groups have different factual and linguistic competences, they require specific types...... text production. The monolingual accounting dictionary needs to include information about UK, US and international accounting terms, their grammatical properties, their potential for being combined with other words in collocations, phrases and sentences in order to meet user requirements. Data items...... that deal with these aspects are necessary for the international user group as they produce subject-field specific and register-specific texts in a foreign language, and the data items are relevant for the various stages in text production: draft writing, copyediting, stylistic editing and proofreading....

  11. Automatic Amharic text news classification: Aneural networks ...

    African Journals Online (AJOL)

    Ethiopian Journal of Science and Technology. Journal Home · ABOUT · Advanced Search · Current Issue · Archives · Journal Home > Vol 6, No 2 (2013) >. Log in or Register to get access to full text downloads.

  12. Understanding How Headings Influence Text Processing

    Directory of Open Access Journals (Sweden)

    Julie Lemarié

    2012-07-01

    Full Text Available Titles and headings are commonly used signaling devices in expository texts. Researchers in cognitive and educational psychology have demonstrated several important effects of headings and titles on text processing: headings improve memory for text organization; headings influence text comprehension by activating readers’ prior knowledge; and titles can bias text comprehension by their emphasis on a particular text topic. However, the lack of precise linguistic analyses of titles/headings has limited both the scope of empirical research and the precision of conclusions. We present a theory of signaling devices that provides a detailed analysis of variation in titles and headings and generates predictions concerning their effects. We discuss the implications of our analyses for research on titles and headings and summarize recent research findings that illustrate the validity of a central component of our analyses. Finally, we propose some future research directions integrating insights from linguistics for the study of how headings and titles affect text processing.Les titres et intertitres sont des dispositifs de signalisation fréquemment utilisés dans les textes expositifs. De nombreuses recherches réalisées en psychologie cognitive et psychologie des apprentissages ont mis en évidence leurs effets sur le traitement du texte par le lecteur : les intertitres améliorent la représentation mnésique de l’organisation du texte et influencent la compréhension du texte par un mécanisme d’activation des connaissances antérieures du lecteur. Les titres généraux, lorsqu’ils mettent en avant un des thèmes du texte, biaisent la compréhension du texte. Cependant, l’absence d’analyse linguistique approfondie des titres et intertitres a limité la portée de ces travaux et a mené à des conclusions méritant d’être affinées. Nous présentons une théorie générale de la signalisation des textes qui propose un cadre d

  13. Discovery of Recurring Anomalies in Text Reports

    Data.gov (United States)

    National Aeronautics and Space Administration — This paper describes the results of a significant research and development effort conducted at NASA Ames Research Center to develop new text mining algorithms to...

  14. Figures of thought mathematics and mathematical texts

    CERN Document Server

    Reed, David

    2003-01-01

    Examines the ways in which mathematical works can be read as texts, examines their textual strategiesand demonstrates that such readings provide a rich source of philosophical debate regarding mathematics.

  15. The Relationship between Paraphrasing and Text Analysis

    Directory of Open Access Journals (Sweden)

    María Luisa Cepeda Islas

    2013-04-01

    Full Text Available Given the importance of paraphrasing in the process of comprehension for college students, this study assessed the level of implementation of text analysis and paraphrases the response of a sample of senior students of the career psychology. We selected a group of freshmen to the Psychology course, which was asked to answer a questionnaire and carry out the summary of an empirical article. The results showed that participants have a low level of text analysis, at the same time had low levels of paraphrasing. It was seen that the predominant textual copy. They envision some possibilities for the structure of a training workshop not only paraphrasing but on the analysis of text.

  16. Transmedial texts and serialized narratives [symposium

    Directory of Open Access Journals (Sweden)

    Maria Lindgren Leavenworth

    2011-11-01

    Full Text Available Transmedia storytelling is connected to story worlds, which provide fans and users with different points of entry, as illustrated using the example of The Vampire Diaries (2009–.

  17. Hybrid Machine Learning Approach for Text Categorization

    OpenAIRE

    Nerijus Remeikis; Ignas Skucas; Vida Melninkaite

    2007-01-01

    Text categorization - the assignment of natural language documents to one or more predefined categories based on their semantic content - is an important component in many information organization and management tasks. Performance of neural networks learning is known to be sensitive to the initial weights and architecture. This paper discusses the use multilayer neural network initialization with decision tree classifier for improving text categorization accuracy. An adaptation of the algorit...

  18. Rhetorical Structure Theory and Text Analysis

    Science.gov (United States)

    1989-11-01

    at least these effects. To use language as in the ZPG letter is not merely performing in some role or ritual as an institutional beggar; playing out a...bulletin board: Text Example: "The Los Angeles Chamber Ballet (the ballet company I’m dancing with) is giving 4 concerts next week ... Tickets are $7.50...yielded by the comparison is being made locua of the effect: multiple nuclei Text Example: ’Animals heal , but trees compartmentalize. They endure a

  19. Preserved Network Metrics across Translated Texts

    Science.gov (United States)

    Cabatbat, Josephine Jill T.; Monsanto, Jica P.; Tapang, Giovanni A.

    2014-09-01

    Co-occurrence language networks based on Bible translations and the Universal Declaration of Human Rights (UDHR) translations in different languages were constructed and compared with random text networks. Among the considered network metrics, the network size, N, the normalized betweenness centrality (BC), and the average k-nearest neighbors, knn, were found to be the most preserved across translations. Moreover, similar frequency distributions of co-occurring network motifs were observed for translated texts networks.

  20. Text mining for the biocuration workflow

    Science.gov (United States)

    Hirschman, Lynette; Burns, Gully A. P. C; Krallinger, Martin; Arighi, Cecilia; Cohen, K. Bretonnel; Valencia, Alfonso; Wu, Cathy H.; Chatr-Aryamontri, Andrew; Dowell, Karen G.; Huala, Eva; Lourenço, Anália; Nash, Robert; Veuthey, Anne-Lise; Wiegers, Thomas; Winter, Andrew G.

    2012-01-01

    Molecular biology has become heavily dependent on biological knowledge encoded in expert curated biological databases. As the volume of biological literature increases, biocurators need help in keeping up with the literature; (semi-) automated aids for biocuration would seem to be an ideal application for natural language processing and text mining. However, to date, there have been few documented successes for improving biocuration throughput using text mining. Our initial investigations took place for the workshop on ‘Text Mining for the BioCuration Workflow’ at the third International Biocuration Conference (Berlin, 2009). We interviewed biocurators to obtain workflows from eight biological databases. This initial study revealed high-level commonalities, including (i) selection of documents for curation; (ii) indexing of documents with biologically relevant entities (e.g. genes); and (iii) detailed curation of specific relations (e.g. interactions); however, the detailed workflows also showed many variabilities. Following the workshop, we conducted a survey of biocurators. The survey identified biocurator priorities, including the handling of full text indexed with biological entities and support for the identification and prioritization of documents for curation. It also indicated that two-thirds of the biocuration teams had experimented with text mining and almost half were using text mining at that time. Analysis of our interviews and survey provide a set of requirements for the integration of text mining into the biocuration workflow. These can guide the identification of common needs across curated databases and encourage joint experimentation involving biocurators, text mining developers and the larger biomedical research community. PMID:22513129

  1. NOTICING AND TEXT-BASED CHAT

    OpenAIRE

    Chun Lai; Yong Zhao

    2006-01-01

    This study examined the capacity of text-based online chat to promote learners’ noticing of their problematic language productions and of the interactional feedback from their interlocutors. In this study, twelve ESL learners formed six mixed-proficiency dyads. The same dyads worked on two spot-the-difference tasks, one via online chat and the other through face-to-face conversation. Stimulated recall sessions were held subsequently to identify instances of noticing. It was found that text-ba...

  2. THE INDICES OF EXAMINATION TEXTS COMPLEXITY

    OpenAIRE

    Solnyshkina Marina Ivanovna; Kiselnikov Aleksandr Sergeevich

    2015-01-01

    The article presents the results of the analysis aimed at quantitative (word length and sentence length) and qualitative (narrativity, syntactic simplicity, word concreteness, referential cohesion and deep cohesion) characteristics used in Flesh Reading Ease and Coh-Metrix to determine complexity/simplicity of FCE and EGE examination texts corresponding to B2 level by Common European Framework of References. The data used in the research include18 examination texts of three language tests ana...

  3. Text-Filled Stacked Area Graphs

    DEFF Research Database (Denmark)

    Kraus, Martin

    2011-01-01

    Text can add a significant amount of detail and value to an information visualization. In particular, it can integrate more of the data that a visualization is based on, and it can also integrate information that is personally relevant to readers of a visualization. This may influence readers to ...... 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....

  4. Text mining resources for the life sciences

    Science.gov (United States)

    Shardlow, Matthew; Aubin, Sophie; Bossy, Robert; Eckart de Castilho, Richard; Piperidis, Stelios; McNaught, John; Ananiadou, Sophia

    2016-01-01

    Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable—those that have the crucial ability to share information, enabling smooth integration and reusability. PMID:27888231

  5. Ancient medical texts, modern reading problems

    Directory of Open Access Journals (Sweden)

    Maria Carlota Rosa

    2006-12-01

    Full Text Available The word tradition has a very specific meaning in linguistics: the passing down of a text, which may have been completed or corrected by different copyists at different times, when the concept of authorship was not the same as it is today. When reading an ancient text the word tradition must be in the reader's mind. To discuss one of the problems an ancient text poses to its modern readers, this work deals with one of the first printed medical texts in Portuguese, the Regimento proueytoso contra ha pestenença, and draws a parallel between it and two related texts, A moche profitable treatise against the pestilence, and the Recopilaçam das cousas que conuem guardar se no modo de preseruar à Cidade de Lixboa E os sãos, & curar os que esteuerem enfermos de Peste. The problems which arise out of the textual structure of those books show how difficult is to establish a tradition of another type, the medical tradition. The linguistic study of the innumerable medieval plague treatises may throw light on the continuities and on the disruptions of the so-called hippocratic-galenical medical tradition.

  6. Inspiration and the Texts of the Bible

    Directory of Open Access Journals (Sweden)

    Dirk Buchner

    1997-12-01

    Full Text Available This article seeks to explore what the inspired text of the Old Testament was as it existed for the New Testament authors, particularly for the author of the book of Hebrews. A quick look at the facts makes. it clear that there was, at the time, more than one 'inspired' text, among these were the Septuagint and the Masoretic Text 'to name but two'. The latter eventually gained ascendancy which is why it forms the basis of our translated Old Testament today. Yet we have to ask: what do we make of that other text that was the inspired Bible to the early Church, especially to the writer of the book of Hebrews, who ignored the Masoretic text? This article will take a brief look at some suggestions for a doctrine of inspiration that keeps up with the facts of Scripture. Allied to this, the article is something of a bibliographical study of recent developments in textual research following the discovery of the Dead Sea scrolls.

  7. Chapter 16: text mining for translational bioinformatics.

    Science.gov (United States)

    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.

  8. Text mining resources for the life sciences.

    Science.gov (United States)

    Przybyła, Piotr; Shardlow, Matthew; Aubin, Sophie; Bossy, Robert; Eckart de Castilho, Richard; Piperidis, Stelios; McNaught, John; Ananiadou, Sophia

    2016-01-01

    Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable-those that have the crucial ability to share information, enabling smooth integration and reusability. © The Author(s) 2016. Published by Oxford University Press.

  9. 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.

  10. Memory for Narrative and Expository Text: Independent Influences of Semantic Associations and Text Organization

    Science.gov (United States)

    Wolfe, Michael B. W.

    2005-01-01

    The author examined memory for text in terms of the independent influences of semantic knowledge associations and text organization. Semantic associations were operationalized as the semantic relatedness between individual text concepts and the text as a whole and assessed with latent semantic analysis. The author assessed text organization by…

  11. n-Gram-Based Text Compression

    Directory of Open Access Journals (Sweden)

    Vu H. Nguyen

    2016-01-01

    Full Text Available We propose an efficient method for compressing Vietnamese text using n-gram dictionaries. It has a significant compression ratio in comparison with those of state-of-the-art methods on the same dataset. Given a text, first, the proposed method splits it into n-grams and then encodes them based on n-gram dictionaries. In the encoding phase, we use a sliding window with a size that ranges from bigram to five grams to obtain the best encoding stream. Each n-gram is encoded by two to four bytes accordingly based on its corresponding n-gram dictionary. We collected 2.5 GB text corpus from some Vietnamese news agencies to build n-gram dictionaries from unigram to five grams and achieve dictionaries with a size of 12 GB in total. In order to evaluate our method, we collected a testing set of 10 different text files with different sizes. The experimental results indicate that our method achieves compression ratio around 90% and outperforms state-of-the-art methods.

  12. ERRORS AND DIFFICULTIES IN TRANSLATING LEGAL TEXTS

    Directory of Open Access Journals (Sweden)

    Camelia, CHIRILA

    2014-11-01

    Full Text Available Nowadays the accurate translation of legal texts has become highly important as the mistranslation of a passage in a contract, for example, could lead to lawsuits and loss of money. Consequently, the translation of legal texts to other languages faces many difficulties and only professional translators specialised in legal translation should deal with the translation of legal documents and scholarly writings. The purpose of this paper is to analyze translation from three perspectives: translation quality, errors and difficulties encountered in translating legal texts and consequences of such errors in professional translation. First of all, the paper points out the importance of performing a good and correct translation, which is one of the most important elements to be considered when discussing translation. Furthermore, the paper presents an overview of the errors and difficulties in translating texts and of the consequences of errors in professional translation, with applications to the field of law. The paper is also an approach to the differences between languages (English and Romanian that can hinder comprehension for those who have embarked upon the difficult task of translation. The research method that I have used to achieve the objectives of the paper was the content analysis of various Romanian and foreign authors' works.

  13. 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

  14. Review network for scene text recognition

    Science.gov (United States)

    Li, Shuohao; Han, Anqi; Chen, Xu; Yin, Xiaoqing; Zhang, Jun

    2017-09-01

    Recognizing text in images captured in the wild is a fundamental preprocessing task for many computer vision and machine learning applications and has gained significant attention in recent years. This paper proposes an end-to-end trainable deep review neural network for scene text recognition, which is a combination of feature extraction, feature reviewing, feature attention, and sequence recognition. Our model can generate the predicted text without any segmentation or grouping algorithm. Because the attention model in the feature attention stage lacks global modeling ability, a review network is applied to extract the global context of sequence data in the feature reviewing stage. We perform rigorous experiments across a number of standard benchmarks, including IIIT5K, SVT, ICDAR03, and ICDAR13 datasets. Experimental results show that our model is comparable to or outperforms state-of-the-art techniques.

  15. Monolingual Accounting Dictionaries for EFL Text Production

    DEFF Research Database (Denmark)

    Nielsen, Sandro

    2009-01-01

    Monolingual accounting dictionaries are important for producing financial reporting texts in English in an international setting, because of the lack of specialised bilingual dictionaries. As the intended user groups have different factual and linguistic competences, they require specific types...... of information. By identifying and analysing the users' factual and linguistic competences, user needs, use-situations and the stages involved in producing accounting texts in English as a foreign language, lexicographers will have a sound basis for designing the optimal English accounting dictionary for EFL...... text production. The monolingual accounting dictionary needs to include information about UK, US and international accounting terms, their grammatical properties, their potential for being combined with other words in collocations, phrases and sentences in order to meet user requirements. Data items...

  16. No More Provincialism: Art and Text

    Directory of Open Access Journals (Sweden)

    Heather Barker

    2010-11-01

    Full Text Available This essay discusses the writing and personalities surrounding the 1981 establishment of the Australian art magazine, Art & Text, and traces its progression under Paul Taylor’s editorship up to his relocation to New York. During this period, Art & Text published Taylor’s own essays and, more importantly, those of other writers and artists — Meaghan Morris, Paul Foss, Philip Brophy, Imants Tillers, Rex Butler, Edward Colless — all articulating a consistent and complex postmodern position. The magazine’s founder and editor, Paul Taylor, personified the shattering impact of postmodernism upon the Australian art world as well as postmodernism’s limitations. Taylor facilitated a new theoretical framework for the discussion of Australian art, one that continues to dominate the internationalist aspirations of Australian art writers. He produced temporarily convincing solutions to problems that earlier critics had wrestled with unsuccessfully, in particular the twin problems of provincialism, and the relationship of Australian to international art.

  17. Cortical processing during smartphone text messaging.

    Science.gov (United States)

    Tatum, William O; DiCiaccio, Benedetto; Yelvington, Kirsten H

    2016-06-01

    The objective of this study was to report the EEG features of text messaging using smartphones. One hundred twenty-nine patients were prospectively evaluated during video-EEG monitoring (VEM) over 16months. A reproducible texting rhythm (TR) present during active text messaging with a smartphone was compared with passive and forced audio telephone use, thumb/finger movements, cognitive testing/calculation, scanning eye movements, and speech/language tasks in patients with and without epilepsy. Statistical significance was set at ptext messaging (pprocessing in the contemporary brain is uniquely activated by the use of PEDs. These findings have practical implications that could impact industry and research in nonverbal communication. Copyright © 2016 Elsevier Inc. All rights reserved.

  18. Text mining patents for biomedical knowledge.

    Science.gov (United States)

    Rodriguez-Esteban, Raul; Bundschus, Markus

    2016-06-01

    Biomedical text mining of scientific knowledge bases, such as Medline, has received much attention in recent years. Given that text mining is able to automatically extract biomedical facts that revolve around entities such as genes, proteins, and drugs, from unstructured text sources, it is seen as a major enabler to foster biomedical research and drug discovery. In contrast to the biomedical literature, research into the mining of biomedical patents has not reached the same level of maturity. Here, we review existing work and highlight the associated technical challenges that emerge from automatically extracting facts from patents. We conclude by outlining potential future directions in this domain that could help drive biomedical research and drug discovery. Copyright © 2016 Elsevier Ltd. All rights reserved.

  19. WYLBUR reference manual. [For interactive text editing

    Energy Technology Data Exchange (ETDEWEB)

    Krupp, R.F.; Messina, P.C.; Peavler, J.M.; Schustack, S.; Starai, T.

    1977-04-01

    WYLBUR is a system for manipulating various kinds of text, such as computer programs, manuscripts, letters, forms, articles, or reports. Its on-line interactive text-editing capabilities allow the user to create, change, and correct text, and to search and display it. WYLBUR also has facilities for job submission and retrieval from remote terminals that make it possible for a user to inquire about the status of any job in the system, cancel jobs that are executing or awaiting execution, reroute output, raise job priority, or get information on the backlog of batch jobs. WYLBUR also has excellent recovery capabilities and a fast response time. This manual describes the WYLBUR version currently used at ANL. It is intended primarily as a reference manual; thus, examples of WYLBUR commands are kept to a minimum. (RWR)

  20. Word-Sized Graphics for Scientific Texts.

    Science.gov (United States)

    Beck, Fabian; Weiskopf, Daniel

    2017-06-01

    Generating visualizations at the size of a word creates dense information representations often called sparklines. The integration of word-sized graphics into text could avoid additional cognitive load caused by splitting the readers' attention between figures and text. In scientific publications, these graphics make statements easier to understand and verify because additional quantitative information is available where needed. In this work, we perform a literature review to find out how researchers have already applied such word-sized representations. Illustrating the versatility of the approach, we leverage these representations for reporting empirical and bibliographic data in three application examples. For interactive Web-based publications, we explore levels of interactivity and discuss interaction patterns to link visualization and text. We finally call the visualization community to be a pioneer in exploring new visualization-enriched and interactive publication formats.

  1. Monolingual accounting dictionaries for EFL text production

    DEFF Research Database (Denmark)

    Nielsen, Sandro

    2006-01-01

    Monolingual accounting dictionaries are important for producing financial reporting texts in English in an international setting, because of the lack of specialised bilingual dictionaries. As the intended user groups have different factual and linguistic competences, they require specific types...... of information. By identifying and analysing the users' factual and linguistic competences, user needs, use-situations and the stages involved in producing accounting texts in English as a foreign language, lexicographers will have a sound basis for designing the optimal English accounting dictionary for EFL...... text production. The monolingual accounting dictionary needs to include information about UK, US and international accounting terms, their grammatical properties, their potential for being combined with other words in collocations, phrases and sentences in order to meet user requirements. Data items...

  2. Text Mining the History of Medicine.

    Directory of Open Access Journals (Sweden)

    Paul Thompson

    Full Text Available 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

  3. Events and Trends in Text Streams

    Energy Technology Data Exchange (ETDEWEB)

    Engel, David W.; Whitney, Paul D.; Cramer, Nicholas O.

    2010-03-04

    "Text streams--collections of documents or messages that are generated and observed over time--are ubiquitous. Our research and development are targeted at developing algorithms to find and characterize changes in topic within text streams. To date, this research has demonstrated the ability to detect and describe 1) short duration, atypical events and 2) the emergence of longer-term shifts in topical content. This technology has been applied to predefined temporally ordered document collections but is also suitable for application to near-real-time textual data streams."

  4. Ancient Indian Astronomy in Introductory Texts

    Science.gov (United States)

    Narahari Achar, B. N.

    1997-10-01

    It is customary in introductory survey courses in astronomy to devote some time to the history of astronomy. In the available text books only the Greek contribution receives any attention. Apart from Stonehenge and Chichenitza pictures, contributions from Babylon and China are some times mentioned. Hardly any account is given of ancient Indian astronomy. Even when something is mentioned it is incomplete or incorrect or both. Examples are given from several text books currently available. An attempt is made to correct this situation by sketching the contributions from the earliest astronomy of India, namely Vedaanga Jyotisha.

  5. Lidový text a grafika

    OpenAIRE

    Lukš, Jiří

    2015-01-01

    The dissertation "The Folk Text and Graphic Art" studies a song as a topic for graphic and book production. Within the praktical part of the dissertation the author works up a graphic design of a original song-book, which represent his former music band's texts. He surveys the clash of today's fashionable music trends with folk traditions in his region and asks a question about the character of the contemporary folk song. The author's song-book is one of answers. On the base of this effort he...

  6. Quantum mechanics a comprehensive text for chemistry

    CERN Document Server

    Arora, Kishor

    2010-01-01

    This book contains 14 chapters. The text includes the inadequacy of classical mechanics and covers basic and fundamental concepts of quantum mechanics including concepts of transitional, vibration rotation and electronic energies, introduction to concepts of angular momenta, approximatemethods and their application concepts related to electron spin, symmetery concepts and quantum mechanics and ultimately the book features the theories of chemical bonding and use of softwares in quantum mechanics. the text of the book is presented in a lucid manner with ample examples and illustrations wherever

  7. Extracting Conceptual Feature Structures from Text

    DEFF Research Database (Denmark)

    Andreasen, Troels; Bulskov, Henrik; Lassen, Tine

    2011-01-01

    This paper describes an approach to indexing texts by their conceptual content using ontologies along with lexico-syntactic information and semantic role assignment provided by lexical resources. The conceptual content of meaningful chunks of text is transformed into conceptual feature structures...... and mapped into concepts in a generative ontology. Synonymous but linguistically quite distinct expressions are mapped to the same concept in the ontology. This allows us to perform a content-based search which will retrieve relevant documents independently of the linguistic form of the query as well...

  8. Green Chemistry: An Introductory Text (Mike Lancaster)

    Science.gov (United States)

    Rosan, Alan M.

    2003-10-01

    With the unrealistic and irreconcilable choice of either technical or environmental performance still dominating the consumer view, the need for green teaching, green thinking, and green practice is paramount. Replete with extensive and varied examples, detailed analyses, and critical comparisons, this text is an important contribution to the training of future chemists and chemical engineers who will need to work together to plan and conduct syntheses requiring atom economy, energy efficiency, waste minimization, safe reactor design and operation all linked by an overarching environmental ethic. If these laudable goals are ever attained it will be as a consequence of the insightful knowledge and forthright teachings of texts like this one.

  9. Function Labeling for Unparsed Chinese Text

    Science.gov (United States)

    Yuan, Caixia; Ren, Fuji; Wang, Xiaojie; Zhong, Yixin

    This paper presents a work of function labeling for unparsed Chinese text. Unlike other attempts that utilize the full parse trees, we propose an effective way to recognize function labels directly based on lexical information, which is easily scalable for languages that lack sufficient parsing resources. Furthermore, we investigate a general method to iteratively simplify a sentence, thus transferring complicated sentence into structurally simple pieces. By means of a sequence learning model with hidden Markov support vector machine, we achieve the best F-measure of 87.40 on the text from Penn Chinese Treebank resources - a statistically significant improvement over the existing Chinese function labeling systems.

  10. Fieldwork, Heritage and Engaging Landscape Texts

    Science.gov (United States)

    Mains, Susan P.

    2014-01-01

    This paper outlines and analyses efforts to critically engage with "heritage" through the development and responses to a series of undergraduate residential fieldwork trips held in the North Coast of Jamaica. The ways in which we read heritage through varied "texts"--specifically, material landscapes, guided heritage tours,…

  11. Text Memorisation in Chinese Foreign Language Education

    Science.gov (United States)

    Yu, Xia

    2012-01-01

    In China, a widespread learning practice for foreign languages are reading, reciting and memorising texts. This book investigates this practice against a background of Confucian heritage learning and western attitudes towards memorising, particularly audio-lingual approaches to language teaching and later largely negative attitudes. The author…

  12. Drawing Inferences from a Passage of Texts.

    Science.gov (United States)

    Potts, George R.

    The present series of experiments was designed to examine the factors affecting the ability of people to draw inferences from a passage of text. It was found that, using a true-false recognition test, proportion correct was higher and reaction time shorter on inferred information than on information that was actually presented. This was the case…

  13. Accurate stemming of Dutch for text classification

    NARCIS (Netherlands)

    Gaustad, T; Bouma, G; Theune, M; Nijholt, A; Hondorp, H

    2002-01-01

    This paper investigates the use of stemming for classification of Dutch (email) texts. We introduce a stemmer, which combines dictionary lookup (implemented efficiently as a finite state automaton) with a rule-based backup strategy and,how, that it outperforms the Dutch Porter stemmer in terms of

  14. Automatic extraction of angiogenesis bioprocess from text

    Science.gov (United States)

    Wang, Xinglong; McKendrick, Iain; Barrett, Ian; Dix, Ian; French, Tim; Tsujii, Jun'ichi; Ananiadou, Sophia

    2011-01-01

    Motivation: Understanding key biological processes (bioprocesses) and their relationships with constituent biological entities and pharmaceutical agents is crucial for drug design and discovery. One way to harvest such information is searching the literature. However, bioprocesses are difficult to capture because they may occur in text in a variety of textual expressions. Moreover, a bioprocess is often composed of a series of bioevents, where a bioevent denotes changes to one or a group of cells involved in the bioprocess. Such bioevents are often used to refer to bioprocesses in text, which current techniques, relying solely on specialized lexicons, struggle to find. Results: This article presents a range of methods for finding bioprocess terms and events. To facilitate the study, we built a gold standard corpus in which terms and events related to angiogenesis, a key biological process of the growth of new blood vessels, were annotated. Statistics of the annotated corpus revealed that over 36% of the text expressions that referred to angiogenesis appeared as events. The proposed methods respectively employed domain-specific vocabularies, a manually annotated corpus and unstructured domain-specific documents. Evaluation results showed that, while a supervised machine-learning model yielded the best precision, recall and F1 scores, the other methods achieved reasonable performance and less cost to develop. Availability: The angiogenesis vocabularies, gold standard corpus, annotation guidelines and software described in this article are available at http://text0.mib.man.ac.uk/~mbassxw2/angiogenesis/ Contact: xinglong.wang@gmail.com PMID:21821664

  15. Texts and Literacies of the Shi Jinrui

    Science.gov (United States)

    Carrington, Victoria

    2004-01-01

    In post-industrial societies saturated with the multimodal texts of consumer culture--film, computer games, interactive toys, SMS, email, the internet, television, DVDs--young people are developing literacy skills and knowledge in and for a world significantly changed from that of their parents and educators. Given this context, this paper seeks…

  16. Knowledge Revision Processes in Refutation Texts

    Science.gov (United States)

    Kendeou, Panayiota; Walsh, Erinn K.; Smith, Emily R.; O'Brien, Edward J.

    2014-01-01

    In the present set of experiments, we systematically examined the processes that occur while reading texts designed to refute and explain commonsense beliefs that reside in readers' long-term memory. In Experiment 1 (n = 36), providing readers with a refutation-plus-explanation of a commonsense belief was sufficient to significantly reduce…

  17. 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

  18. A Graphophonic Investigation of Beginning Level Texts

    Science.gov (United States)

    Walker, Kevin Clark

    2010-01-01

    This study attempted to provide a systematic framework for phonics instruction for beginning readers in literature-based classrooms based on relative frequency of phoneme-grapheme occurrences found in three distinct corpora. The first corpus contained an academic word list. The second corpus contained the running text from 363 books identified as…

  19. Medical Text Classification using Convolutional Neural Networks

    OpenAIRE

    Hughes, Mark; Li, Irene; Kotoulas, Spyros; Suzumura, Toyotaro

    2017-01-01

    We present an approach to automatically classify clinical text at a sentence level. We are using deep convolutional neural networks to represent complex features. We train the network on a dataset providing a broad categorization of health information. Through a detailed evaluation, we demonstrate that our method outperforms several approaches widely used in natural language processing tasks by about 15%.

  20. Medical Text Classification Using Convolutional Neural Networks.

    Science.gov (United States)

    Hughes, Mark; Li, Irene; Kotoulas, Spyros; Suzumura, Toyotaro

    2017-01-01

    We present an approach to automatically classify clinical text at a sentence level. We are using deep convolutional neural networks to represent complex features. We train the network on a dataset providing a broad categorization of health information. Through a detailed evaluation, we demonstrate that our method outperforms several approaches widely used in natural language processing tasks by about 15%.

  1. Text Mining applied to Molecular Biology

    NARCIS (Netherlands)

    R. Jelier (Rob)

    2008-01-01

    textabstractThis thesis describes the development of text-mining algorithms for molecular biology, in particular for DNA microarray data analysis. Concept profiles were introduced, which characterize the context in which a gene is mentioned in literature, to retrieve functional associations

  2. Database citation in full text biomedical articles.

    Science.gov (United States)

    Kafkas, Şenay; Kim, Jee-Hyub; McEntyre, Johanna R

    2013-01-01

    Molecular biology and literature databases represent essential infrastructure for life science research. Effective integration of these data resources requires that there are structured cross-references at the level of individual articles and biological records. Here, we describe the current patterns of how database entries are cited in research articles, based on analysis of the full text Open Access articles available from Europe PMC. Focusing on citation of entries in the European Nucleotide Archive (ENA), UniProt and Protein Data Bank, Europe (PDBe), we demonstrate that text mining doubles the number of structured annotations of database record citations supplied in journal articles by publishers. Many thousands of new literature-database relationships are found by text mining, since these relationships are also not present in the set of articles cited by database records. We recommend that structured annotation of database records in articles is extended to other databases, such as ArrayExpress and Pfam, entries from which are also cited widely in the literature. The very high precision and high-throughput of this text-mining pipeline makes this activity possible both accurately and at low cost, which will allow the development of new integrated data services.

  3. Computation of term dominance in text documents

    Science.gov (United States)

    Bauer, Travis L [Albuquerque, NM; Benz, Zachary O [Albuquerque, NM; Verzi, Stephen J [Albuquerque, NM

    2012-04-24

    An improved entropy-based term dominance metric useful for characterizing a corpus of text documents, and is useful for comparing the term dominance metrics of a first corpus of documents to a second corpus having a different number of documents.

  4. Project Physics Text 4, Light and Electromagnetism.

    Science.gov (United States)

    Harvard Univ., Cambridge, MA. Harvard Project Physics.

    Optical and electromagnetic fundamentals are presented in this fourth unit of the Project Physics text for use by senior high students. Development of the wave theory in the first half of the 19th Century is described to deal with optical problems at the early stage. Following explanations of electric charges and forces, field concepts are…

  5. Full Text Journal Subscriptions: An Evolutionary Process.

    Science.gov (United States)

    Luther, Judy

    1997-01-01

    Provides an overview of companies offering Web accessible subscriptions to full text electronic versions of scientific, technical, and medical journals (Academic Press, Blackwell, EBSCO, Elsevier, Highwire Press, Information Quest, Institute of Physics, Johns Hopkins University Press, OCLC, OVID, Springer, and SWETS). Also lists guidelines for…

  6. INNER DIALOGICITY OF MEDICAL SCIENTIFIC TEXTS

    Directory of Open Access Journals (Sweden)

    Efremova Nataliya Vladimirovna

    2015-06-01

    Full Text Available The author studies inner dialogicity as an integral property of a scientist's thinking activity, a way of a scientific idea development, one of the cognitive and discursive mechanisms of new knowledge formation, its crystallization and dementalisation in a text, as a way of search for truth. Such approach to dialogicity in the study of a scientific text makes it possible to analyze the cogitative processes proceeding in human consciousness and cognitive activity, allows to fully understand the stated scientific concept, to define pragmatic strategies of the author, to plunge into his reflexive world. On the material of medical scientific texts of N.M. Amosov and F. G. Uglov, famous scientists in the field of cardio surgery, it is established that traces of internal dialogicity manifestation in the textual space of scientists actualize the origin of new knowledge, the change of author's semantic positions, his ability to reflect, compare, analyze his own thoughts and actions, to estimate oneself and the features of thinking process which are realized in logic of a statement of the scientific concept, an explanation of concepts, terms at judgment of the points of view of contemporaries and predecessors, adherents and scientist's opponents, and also orientation to the addressee's presupposition, activization of his cogitative activity. Linguistic, discursive, verbal analysis singles out the impact on the addressee, his mental activity.

  7. Teaching life writing texts in Europe : Introduction

    NARCIS (Netherlands)

    Mreijen, Anne-Marie

    2015-01-01

    Although courses on auto/biography and life writing are taught at different universities in Europe, and elements of contemporary life writing issues are addressed in different disciplines like sociology and history, life writing courses, as described in Teaching Life Writing Texts, are certainly not

  8. Modeling statistical properties of written text.

    Directory of Open Access Journals (Sweden)

    M Angeles Serrano

    Full Text Available Written text is one of the fundamental manifestations of human language, and the study of its universal regularities can give clues about how our brains process information and how we, as a society, organize and share it. Among these regularities, only Zipf's law has been explored in depth. Other basic properties, such as the existence of bursts of rare words in specific documents, have only been studied independently of each other and mainly by descriptive models. As a consequence, there is a lack of understanding of linguistic processes as complex emergent phenomena. Beyond Zipf's law for word frequencies, here we focus on burstiness, Heaps' law describing the sublinear growth of vocabulary size with the length of a document, and the topicality of document collections, which encode correlations within and across documents absent in random null models. We introduce and validate a generative model that explains the simultaneous emergence of all these patterns from simple rules. As a result, we find a connection between the bursty nature of rare words and the topical organization of texts and identify dynamic word ranking and memory across documents as key mechanisms explaining the non trivial organization of written text. Our research can have broad implications and practical applications in computer science, cognitive science and linguistics.

  9. Polarity Analysis of Texts using Discourse Structure

    NARCIS (Netherlands)

    Heerschop, Bas; Goosen, Frank; Hogenboom, Alexander; Frasincar, Flavius; Kaymak, Uzay; de Jong, Franciska M.G.

    2011-01-01

    Sentiment analysis has applications in many areas and the exploration of its potential has only just begun. We propose Pathos, a framework which performs document sentiment analysis (partly) based on a document’s discourse structure. We hypothesize that by splitting a text into important and less

  10. The psycholinguistics of developing text construction.

    Science.gov (United States)

    Berman, Ruth A

    2008-11-01

    This paper outlines functionally motivated quantifiable criteria for characterizing different facets of discourse--global-level principles, categories of referential content, clause-linking complex syntax, local linguistic expression and overall discourse stance--in relation to the variables of development, genre and modality. Concern is with later, school-age language development, in the conviction that the long developmental route of language acquisition can profitably be examined in the context of extended discourse. Findings are reviewed from a cross-linguistic project that elicited narrative and expository texts in both speech and writing at four age groups: (9-10 years, 12-13, 16-17 and adults). Clear developmental patterns emerge from middle childhood to adulthood, with significant shifts in adolescence; global-level text organization is mastered earlier in narratives than in expository essays, but the latter promote more advanced use of local-level lexicon and syntax; and spoken texts are more spread out than their denser written counterparts in clause-linkage, referential content and lexical usage. These and other findings are discussed in terms of the growth and reorganization of knowledge about types of discourse and text-embedded language use.

  11. Acts of Reading: Teachers, Text and Childhood

    Science.gov (United States)

    Styles, Morag, Ed.; Arizpe, Evelyn, Ed.

    2009-01-01

    "Acts of Reading" is an enchanting and scholarly review of the history of reading and texts for children, from the 18th century to the digital age and beyond. They are examined through the eyes of their various audiences: the children, writers, teachers and parents, so as to explore the act of reading itself, whether oral, silent or performative,…

  12. Text Segmentation for Chinese Spell Checking.

    Science.gov (United States)

    Lee, Kin Hong; Lu, Qin; Ng, Mau Kit Michael

    1999-01-01

    Discussion of spell checking for Chinese words proposes a Block-of-Combinations (BOC) text-segmentation method based on frequency of word usage to reduce the word combinations from exponential growth to linear growth. Suggests user interaction to make the segmentation more suitable for spell checking. (Author/LRW)

  13. Poetic Texts in Polish Heritage Language Classes

    Directory of Open Access Journals (Sweden)

    Anna Gąsienica Byrcyn

    2017-03-01

    Full Text Available The use of poetic texts in heritage Polish composition classes offers a resourceful, motivating, and original way of learning the language and culture, primarily by mastering writing skills and understanding Poland’s rich and complex culture. Moreover, poetic texts give an aesthetical beauty and moral values, and the students discover universal truths during their readings and discussions. A chosen poem, such as Adam Mickiewicz’s “Lelije” (Lilies, Teofil Lenartowicz’s “Złoty kubek” (A Golden Cup, or Bolesław Leśmian’s “Urszula Kochanowska” (Ursula Kochanowska, is presented in class for listening exercises, reading, recitation, discussion, and especially creative writing. The students are introduced to the captivating genre of poetry and learn about the cultural and historical content of this work. Then, they write their poem or a composition on the introduced theme. The assessment consists of the student’s originality, the content of the paper, the organization of the paper, and the employment of correct grammatical sentence structure and vocabulary. Consequently, poetic texts immersed in Polish intertextual space are open and may be read in many ways, beyond their initial context, presenting many fascinating interpretations and offering many intellectual attractions. A poem is an excellent learning source for the creativity stage in the art of writing, transmuting elements of the past Polish culture and literature in modern language classes. Students write their own intriguing stories, focusing on their knowledge of the language, and using resourcefulness and creativity.

  14. Examining Response Confidence in Multiple Text Tasks

    Science.gov (United States)

    List, Alexandra; Alexander, Patricia A.

    2015-01-01

    Students' confidence in their responses to a multiple text-processing task and their justifications for those confidence ratings were investigated. Specifically, 215 undergraduates responded to two academic questions, differing by type (i.e., discrete and open-ended) and by domain (i.e., developmental psychology and astrophysics), using a digital…

  15. Deafness and Text-Based Literacy.

    Science.gov (United States)

    Paul, Peter V.

    1993-01-01

    This paper argues that English text-based literacy skills (as opposed to nontext forms of communication such as audio-visual and American Sign Language) are necessary for people with deafness to succeed in the current technological, information-intensive society. (DB)

  16. Assessing Literary Reasoning: Text and Task Complexities

    Science.gov (United States)

    Lee, Carol D.; Goldman, Susan R.

    2015-01-01

    This article addresses 3 broad challenges of assessment in reading comprehension: (a) explicitly articulating the knowledge and skills students need to recognize and be able to use in comprehending complex texts; (b) understanding how knowledge and skills progress and successively deepen and develop over repeated opportunities to engage in tasks…

  17. 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

  18. Making School Development Credible. Text, Context, Irony

    Directory of Open Access Journals (Sweden)

    Mats Börjesson

    2012-01-01

    Full Text Available

    The article argues for the importance of an open, reflexive-methodological approach when switching between studying text, context and researcher activity. Close linguistic analysis can benefit from being linked with the researcher’s contextualisation of his empirical material as well as with more distanced readings. The more specific starting point for this article is that school development, like other similar terms such as school improvement and the like, makes use of linguistic building blocks with which whole narratives about today’s and tomorrow’s schools can be constructed. The subject of the study is a short text issued by the Swedish Schools Inspectorate (Skolinspektionen. Government language changes according to the authorities’ role in society and their own definitions of their functions, and an important aspect here is the legitimacy of the authorities’ texts. By means of various kinds of close linguistic analysis, the above-mentioned text is studied with regard to choice of categories, hierarchies of modalisation and the rhetorical effects of different types of formulations in a broader political-social landscape. The article concludes with a reflective discussion on the relationship between government language and irony as a stylistic device – a device that is based on the results of the close empirical analysis.[i]



    [i] The article is part of the project ”School  Development as Narrative”, funded by the Swedish Research Council. The author would like to thank the two reviewers for very valuable comments.

  19. 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

  20. OMG! Texting in Class = U Fail :( Empirical Evidence That Text Messaging During Class Disrupts Comprehension

    Science.gov (United States)

    Gingerich, Amanda C.; Lineweaver, Tara T.

    2014-01-01

    In two experiments, we examined the effects of text messaging during lecture on comprehension of lecture material. Students (in Experiment 1) and randomly assigned participants (in Experiment 2) in a text message condition texted a prescribed conversation while listening to a brief lecture. Students and participants in the no-text condition…

  1. Exploring the Effect of Background Knowledge and Text Cohesion on Learning from Texts in Computer Science

    Science.gov (United States)

    Gasparinatou, Alexandra; Grigoriadou, Maria

    2013-01-01

    In this study, we examine the effect of background knowledge and local cohesion on learning from texts. The study is based on construction-integration model. Participants were 176 undergraduate students who read a Computer Science text. Half of the participants read a text of maximum local cohesion and the other a text of minimum local cohesion.…

  2. Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction

    OpenAIRE

    Darko Brodić; Milivojević, Dragan R.; Zoran Milivojević

    2010-01-01

    Text line segmentation is an essential stage in off-line optical character recognition (OCR) systems. It is a key because inaccurately segmented text lines will lead to OCR failure. Text line segmentation of handwritten documents is a complex and diverse problem, complicated by the nature of handwriting. Hence, text line segmentation is a leading challenge in handwritten document image processing. Due to inconsistencies in measurement and evaluation of text segmentation algorithm quality, som...

  3. Cell Phoning and Texting While Driving

    Directory of Open Access Journals (Sweden)

    Judy Honoria Rosaire Telemaque

    2015-07-01

    Full Text Available A qualitative phenomenological study was conducted on the consequences of cell phone use while operating a vehicle. We discussed why talking and texting on cell phones are so popular through the analysis of our interviews with police officers, driving instructors, and parents of teens and young adults. The participants came from central, northeastern, northwestern, and southeastern Connecticut. All had exposure with respect to the effects of cell phone usage problem. The study reached a point of theoretical saturation or redundancy by which the analysis no longer resulted in new themes. We concluded that the discoveries revealed the necessity for education, expansion of technology, and additional driver education preparation, which may provide a path for leadership to help solve the problem.

  4. Online Visual Analytics of Text Streams.

    Science.gov (United States)

    Liu, Shixia; Yin, Jialun; Wang, Xiting; Cui, Weiwei; Cao, Kelei; Pei, Jian

    2016-11-01

    We present an online visual analytics approach to helping users explore and understand hierarchical topic evolution in high-volume text streams. The key idea behind this approach is to identify representative topics in incoming documents and align them with the existing representative topics that they immediately follow (in time). To this end, we learn a set of streaming tree cuts from topic trees based on user-selected focus nodes. A dynamic Bayesian network model has been developed to derive the tree cuts in the incoming topic trees to balance the fitness of each tree cut and the smoothness between adjacent tree cuts. By connecting the corresponding topics at different times, we are able to provide an overview of the evolving hierarchical topics. A sedimentation-based visualization has been designed to enable the interactive analysis of streaming text data from global patterns to local details. We evaluated our method on real-world datasets and the results are generally favorable.

  5. Can An Evolutionary Process Create English Text?

    Energy Technology Data Exchange (ETDEWEB)

    Bailey, David H.

    2008-10-29

    Critics of the conventional theory of biological evolution have asserted that while natural processes might result in some limited diversity, nothing fundamentally new can arise from 'random' evolution. In response, biologists such as Richard Dawkins have demonstrated that a computer program can generate a specific short phrase via evolution-like iterations starting with random gibberish. While such demonstrations are intriguing, they are flawed in that they have a fixed, pre-specified future target, whereas in real biological evolution there is no fixed future target, but only a complicated 'fitness landscape'. In this study, a significantly more sophisticated evolutionary scheme is employed to produce text segments reminiscent of a Charles Dickens novel. The aggregate size of these segments is larger than the computer program and the input Dickens text, even when comparing compressed data (as a measure of information content).

  6. Extraction of information from unstructured text

    Energy Technology Data Exchange (ETDEWEB)

    Irwin, N.H.; DeLand, S.M.; Crowder, S.V.

    1995-11-01

    Extracting information from unstructured text has become an emphasis in recent years due to the large amount of text now electronically available. This status report describes the findings and work done by the end of the first year of a two-year LDRD. Requirements of the approach included that it model the information in a domain independent way. This means that it would differ from current systems by not relying on previously built domain knowledge and that it would do more than keyword identification. Three areas that are discussed and expected to contribute to a solution include (1) identifying key entities through document level profiling and preprocessing, (2) identifying relationships between entities through sentence level syntax, and (3) combining the first two with semantic knowledge about the terms.

  7. Ordinary differential equations a graduate text

    CERN Document Server

    Bhamra, K S

    2015-01-01

    ORDINARY DIFFERENTIAL EQUATIONS: A Graduate Text presents a systematic and comprehensive introduction to ODEs for graduate and postgraduate students. The systematic organized text on differential inequalities, Gronwall's inequality, Nagumo's theorems, Osgood's criteria and applications of different equations of first order is dealt with in a greater depth. The book discusses qualitative and quantitative aspects of the Strum - Liouville problems, Green's function, integral equations, Laplace transform and is supported by a number of worked-out examples in each lesson to make the concepts clear. A lot of stress on stability theory is laid down, especially on Lyapunov and Poincare stability theory. A numerous figures in various lessons (in particular lessons dealing with stability theory) have been added to clarify the key concepts in DE theory. Nonlinear oscillation in conservative systems and Hamiltonian systems highlights basic nature of the systems considered. Perturbation techniques lesson deals in fairly d...

  8. Rethinking of Fratricide Myth in Fiction Text

    Directory of Open Access Journals (Sweden)

    Vladimir I. Karasik

    2017-10-01

    Full Text Available The article deals with a mythological plot “fratricide” treated as the embodiment of archetypical sin – murder of one’s kin. Associative extension of this crime and its participants is described. Main lines of murderer’s behavior are grudge and uncontrolled fury caused by envy and strife for primacy. Fratricide was repeatedly represented in fiction texts. Various approaches to this plot are analyzed as presented in prose, drama and poetry by S. Gessner, S. Coleridge, G.B. Byron, A. Tarkovsky, R. Shusterovich, G. Kanevsky, A. Barkova, J. Minot, A. Zheleznov. Several vectors of fratricide rethinking are traced including devil’s design, revolt against unjust world order, sacrifice, and incomprehensibility of fate. Metaphorically, this subject plot is exemplified in civil war scripts or in a broader sense in tragic conflict of close friends.

  9. The Interplay of Text, Meaning and Practice

    DEFF Research Database (Denmark)

    Kärreman, Dan; Levay, Charlotta

    2017-01-01

    Context: The study of discourses (i.e. verbal interactions or written accounts) is increasingly used in social sciences to gain insight into issues connected to discourse, such as meanings, behaviours and actions. This paper situates discourse analysis in medical education, based on a framework...... of the links between text, practices and meaning. Conclusions: Discourse analysis provides a more strongly supported argument when it is possible to defend claims on three levels: practice, using observational data; meaning, using ethnographic data, and text, using conversational and textual data....... developed in organisational discourse analysis and widely deployed in other social science disciplines. Objectives: This paper aims to examine the constructs of ‘discourse’ and ‘discourse analysis’, and how various understandings of discourse and discourse analysis may play out in empirical and analytical...

  10. Generalized Entropies and the Similarity of Texts

    CERN Document Server

    Altmann, Eduardo G; Gerlach, Martin

    2016-01-01

    We show how generalized Gibbs-Shannon entropies can provide new insights on the statistical properties of texts. The universal distribution of word frequencies (Zipf's law) implies that the generalized entropies, computed at the word level, are dominated by words in a specific range of frequencies. Here we show that this is the case not only for the generalized entropies but also for the generalized (Jensen-Shannon) divergences, used to compute the similarity between different texts. This finding allows us to identify the contribution of specific words (and word frequencies) for the different generalized entropies and also to estimate the size of the databases needed to obtain a reliable estimation of the divergences. We test our results in large databases of books (from the Google n-gram database) and scientific papers (indexed by Web of Science).

  11. Clustering Analysis within Text Classification Techniques

    Directory of Open Access Journals (Sweden)

    Madalina ZURINI

    2011-01-01

    Full Text Available The paper represents a personal approach upon the main applications of classification which are presented in the area of knowledge based society by means of methods and techniques widely spread in the literature. Text classification is underlined in chapter two where the main techniques used are described, along with an integrated taxonomy. The transition is made through the concept of spatial representation. Having the elementary elements of geometry and the artificial intelligence analysis, spatial representation models are presented. Using a parallel approach, spatial dimension is introduced in the process of classification. The main clustering methods are described in an aggregated taxonomy. For an example, spam and ham words are clustered and spatial represented, when the concepts of spam, ham and common and linkage word are presented and explained in the xOy space representation.

  12. TRANSLATION PROBLEMS OF THE POSTMODERN LITERARY TEXT

    Directory of Open Access Journals (Sweden)

    K.G. Lashchenko

    2005-02-01

    Full Text Available  The article reviews general problems of the postmodern fiction translation. The author discusses interrelation between required cognitive base of a translator, appropriate translation skills and excellent knowledge of native language on one hand, and adequate translation of postmodern fiction on the other hand. Translator’s difficulties generated by the literary work specifics are analyzed and summarized, and practical ways to curb with them are suggested.

  13. Text to Speech Conversion with Phonematic Concatenation

    OpenAIRE

    Tapas Kumar Patra; Biplab Patra; Puspanjali Mohapatra

    2012-01-01

    This paper presents a method to design a Text to Speech conversion module by the use of Matlab by simple matrix operations. Firstly by the use of microphone some similar sounding words are recorded using a record program in the Matlab window and recorded sounds are saved in .wav format in the directory. The recorded sounds are then sampled and the sampled values are taken and separated into their constituent phonetics. The separated syllables are then concatenated to reconstruct the desired w...

  14. Speech Act Classification of German Advertising Texts

    OpenAIRE

    Артур Нарманович Мамедов

    2015-01-01

    This paper uses the theory of speech acts and the underlying concept of pragmalinguistics to determine the types of speech acts and their classification in the German advertising printed texts. We ascertain that the advertising of cars and accessories, household appliances and computer equipment, watches, fancy goods, food, pharmaceuticals, and financial, insurance, legal services and also airline advertising is dominated by a pragmatic principle, which is based on demonstrating information a...

  15. Silvia Antosa, Queer Crossings. Theories, Bodies, Texts

    Directory of Open Access Journals (Sweden)

    Mirko Lino

    2014-05-01

    Full Text Available Il grado di complessità della società contemporanea, costituita dalla compresenza su uno stesso piano di elementi e concetti che sfuggono a logiche interpretative tradizionali, trova uno dei suoi più forti riflessi nella queer culture. All’interno di questo contesto, il merito dei queer studies è quello di proporre una varietà di incroci disciplinari e di superare posizioni teoriche consolidate, cominciando a problematizzarle.

  16. Reading an ESL Writer’s Text

    Directory of Open Access Journals (Sweden)

    Paul Kei Matsuda

    2011-03-01

    Full Text Available This paper focuses on reading as a central act of communication in the tutorial session. Writing center tutors without extensive experience reading writing by second language writers may have difficulty getting past the many differences in surface-level features, organization, and rhetorical moves. After exploring some of the sources of these differences in writing, the authors present strategies that writing tutors can use to work effectively with second language writers.

  17. Text summarization as a decision support aid

    OpenAIRE

    Workman, T Elizabeth; Fiszman, Marcelo; Hurdle, John F

    2012-01-01

    Abstract Background PubMed data potentially can provide decision support information, but PubMed was not exclusively designed to be a point-of-care tool. Natural language processing applications that summarize PubMed citations hold promise for extracting decision support information. The objective of this study was to evaluate the efficiency of a text summarization application called Semantic MEDLINE, enhanced with a novel dynamic summarization method, in identifying decision support data. Me...

  18. Logistic regression a self-learning text

    CERN Document Server

    Kleinbaum, David G

    1994-01-01

    This textbook provides students and professionals in the health sciences with a presentation of the use of logistic regression in research. The text is self-contained, and designed to be used both in class or as a tool for self-study. It arises from the author's many years of experience teaching this material and the notes on which it is based have been extensively used throughout the world.

  19. Stemming of Slovenian library science texts

    Directory of Open Access Journals (Sweden)

    Polona Vilar

    2002-01-01

    Full Text Available The theme of the article is the preparation of a stemming algorithm for Slovenian library science texts. The procedure consisted of three phases: learning, testing and evaluation.The preparation of the optimal stemmer for Slovenian texts from the field of library science is presented, its testing and comparison with two other stemmers for the Slovenian language: the Popovič stemmer and the Generic stemmer. A corpus of 790.000 words from the field of library science was used for learning. Lists of stems, word endings and stop-words were built. In the testing phase, the component parts of the algorithm were tested on an additional corpus of 167.000 words. In the evaluation phase, a comparison of the three stemmers processing the same word corpus was made. The results of each stemmer were compared with an intellectually prepared control result of the stemming of the corpus. It consisted of groups of semantically connected words with no errors. Understemming was especially monitored – the number of stems for semantically connected words, produced by an algorithm. The results were statistically processed with the Kruskal-Wallis test. The Optimal stemmer produced the best results.It matched best with the reference results and also gave the smallest number of stems for one semantic meaning. The Popovič stemmer followed closely. The Generic stemmer proved to be the least accurate. The procedures described in the thesis can represent a platform for the development of the tools for automatic indexing and retrieval for library science texts in Slovenian language.

  20. Semantic and Syntactic Bases of Text Comprehension.

    Science.gov (United States)

    1985-07-25

    comprehension in reading. Reading Research * Quarterly , 3, 499-545. 52 BBN Laboratories Incorporated Dolch, E. (1948). Grading reading difficulty. In E. Dolch...readability. Reading Research Quarterly , 10, 62-102. Kucera, H. & Francis, W. (1967). Computational analysis of present-day American English. Providence, RI...between the structure of text and information recalled. Reading Research Quarterly , 14, 1, 10-56. McKoon, G. & Ratcliff, R. (1982). The comprehension

  1. Linguistic documents synchronizing sound and text

    OpenAIRE

    Jacobson, Michel; Michailovsky, Boyd; Lowe, John

    2001-01-01

    The goal of the LACITO linguistic archive project is to conserve and to make available for research recorded and transcribed oral traditions and other linguistic materials in (mainly) unwritten languages, giving simultaneous access to sound recordings and text annotation. The project uses simple, TEI-inspired XML markup for the kinds of annotation traditionally used in field linguistics. Transcriptions are segmented at the levels of, roughly, the sentence and the word, and annotation associat...

  2. Cohesion in Computer Text Generation: Lexical Substitution.

    Science.gov (United States)

    1983-05-01

    can contain any information desired, the rules need not be strictly syntactic, but can reflect semantic and pragmatic information as well. A subset of...its antecedent. Otherwise, unintelligible text may be generated. Investigation into anaphora resolution has been performed in the pursuit of natural...syntactic, semantic, and pragmatic acceptance. The first item in the ranked list that passes these criteria is assumed to be the antecedent for the

  3. Intertextuality in Text-based Discussions

    Directory of Open Access Journals (Sweden)

    Hamidah Mohd Ismail

    2011-01-01

    Full Text Available One  of  the  main  issues  often  discussed  among  academics  is  how  to  encourage  active participation by students during classroom discussions. This applies particularly to students at the tertiary level who are expected to possess creative and critical thinking skills. Hence, this paper reports on a study that examined how these skills were demonstrated by a group of university students  who  employed  intertextual  links  during  a  follow-up  reading  activity involving  small-group  text  discussions.  Thirty  undergraduates  who  were  in  their  fifth semester of a TESL degree programme were prescribed reading texts consisting of two chapters taken  from  a  book.  Findings  reveal  that  intertextual  links  made  during  text discussions created successfully a “collaborative environment” where beliefs and values were shared judicially among participants. Pedagogical implications for ESL classroom practice include  heightening  the  awareness  amongst  academics  and  students  of  the  role  of intertextuality in order to promote students’ use of their critical and creative thinking skills in a supportive classroom environment.

  4. Writing treatment for aphasia: a texting approach.

    Science.gov (United States)

    Beeson, Pélagie M; Higginson, Kristina; Rising, Kindle

    2013-06-01

    Treatment studies have documented the therapeutic and functional value of lexical writing treatment for individuals with severe aphasia. The purpose of this study was to determine whether such retraining could be accomplished using the typing feature of a cellular telephone, with the ultimate goal of using text messaging for communication. A 31-year-old man with persistent Broca's aphasia, severe apraxia of speech, global dysgraphia, and right hemiparesis participated in this study. Using a multiple baseline design, relearning and maintenance of single-word spellings (and oral naming) of targeted items were examined in response to traditional Copy and Recall Treatment (CART) for handwriting and a new paradigm using 1-handed typing on a cell phone keyboard (i.e., a texting version of CART referred to as T-CART). Marked improvements were documented in spelling and spoken naming trained in either modality, with stronger maintenance for handwriting than cell phone typing. Training resulted in functional use of texting that continued for 2 years after treatment. These results suggest that orthographic retraining using a cell phone keyboard has the potential to improve spelling knowledge and provide a means to improve functional communication skills. Combined training with both handwriting and cell phone typing should be considered in order to maximize the durability of treatment effects.

  5. Text Mining for Drug–Drug Interaction

    Science.gov (United States)

    Wu, Heng-Yi; Chiang, Chien-Wei; Li, Lang

    2015-01-01

    In order to understand the mechanisms of drug–drug interaction (DDI), the study of pharmacokinetics (PK), pharmacodynamics (PD), and pharmacogenetics (PG) data are significant. In recent years, drug PK parameters, drug interaction parameters, and PG data have been unevenly collected in different databases and published extensively in literature. Also the lack of an appropriate PK ontology and a well-annotated PK corpus, which provide the background knowledge and the criteria of determining DDI, respectively, lead to the difficulty of developing DDI text mining tools for PK data collection from the literature and data integration from multiple databases. To conquer the issues, we constructed a comprehensive pharmacokinetics ontology. It includes all aspects of in vitro pharmacokinetics experiments, in vivo pharmacokinetics studies, as well as drug metabolism and transportation enzymes. Using our pharmacokinetics ontology, a PK corpus was constructed to present four classes of pharmacokinetics abstracts: in vivo pharmacokinetics studies, in vivo pharmacogenetic studies, in vivo drug interaction studies, and in vitro drug interaction studies. A novel hierarchical three-level annotation scheme was proposed and implemented to tag key terms, drug interaction sentences, and drug interaction pairs. The utility of the pharmacokinetics ontology was demonstrated by annotating three pharmacokinetics studies; and the utility of the PK corpus was demonstrated by a drug interaction extraction text mining analysis. The pharmacokinetics ontology annotates both in vitro pharmacokinetics experiments and in vivo pharmacokinetics studies. The PK corpus is a highly valuable resource for the text mining of pharmacokinetics parameters and drug interactions. PMID:24788261

  6. Text mining for drug-drug interaction.

    Science.gov (United States)

    Wu, Heng-Yi; Chiang, Chien-Wei; Li, Lang

    2014-01-01

    In order to understand the mechanisms of drug-drug interaction (DDI), the study of pharmacokinetics (PK), pharmacodynamics (PD), and pharmacogenetics (PG) data are significant. In recent years, drug PK parameters, drug interaction parameters, and PG data have been unevenly collected in different databases and published extensively in literature. Also the lack of an appropriate PK ontology and a well-annotated PK corpus, which provide the background knowledge and the criteria of determining DDI, respectively, lead to the difficulty of developing DDI text mining tools for PK data collection from the literature and data integration from multiple databases.To conquer the issues, we constructed a comprehensive pharmacokinetics ontology. It includes all aspects of in vitro pharmacokinetics experiments, in vivo pharmacokinetics studies, as well as drug metabolism and transportation enzymes. Using our pharmacokinetics ontology, a PK corpus was constructed to present four classes of pharmacokinetics abstracts: in vivo pharmacokinetics studies, in vivo pharmacogenetic studies, in vivo drug interaction studies, and in vitro drug interaction studies. A novel hierarchical three-level annotation scheme was proposed and implemented to tag key terms, drug interaction sentences, and drug interaction pairs. The utility of the pharmacokinetics ontology was demonstrated by annotating three pharmacokinetics studies; and the utility of the PK corpus was demonstrated by a drug interaction extraction text mining analysis.The pharmacokinetics ontology annotates both in vitro pharmacokinetics experiments and in vivo pharmacokinetics studies. The PK corpus is a highly valuable resource for the text mining of pharmacokinetics parameters and drug interactions.

  7. Speech Act Classification of German Advertising Texts

    Directory of Open Access Journals (Sweden)

    Артур Нарманович Мамедов

    2015-12-01

    Full Text Available This paper uses the theory of speech acts and the underlying concept of pragmalinguistics to determine the types of speech acts and their classification in the German advertising printed texts. We ascertain that the advertising of cars and accessories, household appliances and computer equipment, watches, fancy goods, food, pharmaceuticals, and financial, insurance, legal services and also airline advertising is dominated by a pragmatic principle, which is based on demonstrating information about the benefits of a product / service. This influences the frequent usage of certain speech acts. The dominant form of exposure is to inform the recipient-user about the characteristics of the advertised product. This information is fore-grounded by means of stylistic and syntactic constructions specific to the advertisement (participial constructions, appositional constructions which contribute to emphasize certain notional components within the framework of the advertising text. Stylistic and syntactic devices of reduction (parceling constructions convey the author's idea. Other means like repetitions, enumerations etc are used by the advertiser to strengthen his selling power. The advertiser focuses the attention of the consumer on the characteristics of the product seeking to convince him of the utility of the product and to influence his/ her buying behavior.

  8. Effects of music on memory for text.

    Science.gov (United States)

    Purnell-Webb, Patricia; Speelman, Craig P

    2008-06-01

    Previous research has suggested that the use of song can facilitate recall of text. This study examined the effect of repetition of a melody across verses, familiarity with the melody, rhythm, and other structural processing hypotheses to explain this phenomenon. Two experiments were conducted, each with 100 participants recruited from undergraduate Psychology programs (44 men, 156 women, M age = 28.5 yr., SD = 9.4). In Exp. 1, participants learned a four-verse ballad in one of five encoding conditions (familiar melody, unfamiliar melody, unknown rhythm, known rhythm, and spoken). Exp. 2 assessed the effect of familiarity in rhythm-only conditions and of pre-exposure with a previously unfamiliar melody. Measures taken were number of verbatim words recalled and number of lines produced with correct syllabic structure. Analysis indicated that rhythm, with or without musical accompaniment, can facilitate recall of text, suggesting that rhythm may provide a schematic frame to which text can be attached. Similarly, familiarity with the rhythm or melody facilitated recall. Findings are discussed in terms of integration and dual-processing theories.

  9. 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.

  10. Torpedo: topic periodicity discovery from text data

    Science.gov (United States)

    Wang, Jingjing; Deng, Hongbo; Han, Jiawei

    2015-05-01

    Although history may not repeat itself, many human activities are inherently periodic, recurring daily, weekly, monthly, yearly or following some other periods. Such recurring activities may not repeat the same set of keywords, but they do share similar topics. Thus it is interesting to mine topic periodicity from text data instead of just looking at the temporal behavior of a single keyword/phrase. Some previous preliminary studies in this direction prespecify a periodic temporal template for each topic. In this paper, we remove this restriction and propose a simple yet effective framework Torpedo to mine periodic/recurrent patterns from text, such as news articles, search query logs, research papers, and web blogs. We first transform text data into topic-specific time series by a time dependent topic modeling module, where each of the time series characterizes the temporal behavior of a topic. Then we use time series techniques to detect periodicity. Hence we both obtain a clear view of how topics distribute over time and enable the automatic discovery of periods that are inherent in each topic. Theoretical and experimental analyses demonstrate the advantage of Torpedo over existing work.

  11. The interjection in old Romanian texts

    Directory of Open Access Journals (Sweden)

    Margareta Manu Magda

    2017-09-01

    Full Text Available The paper tries to identify the special problems posed by the study of interjection based on the examination of a corpus of texts from the old Romanian (1600–1780, referring to texts from modern Romanian. We have watched how certain interjectional formations have acquired, through diachronic expansion, new grammatical, semantic and pragmatic values.The structure of the paper is the following: the introduction (§1 summarizes the author’s position on the status of the interjection category at a morphosyntactic, semantic and pragmatic level (§1.1 and on the relation between different linguistic structures and their grammaticalization / pragmaticalization process (§1.2. The second section (§2 refers to the specific routes followed by the evolution of the various categories of the analysed interjections, from the old Romanian to the modern Romanian: the presentatives adecă, iată, ni (§2.1, the hortatives haide, ni (§2.2, the addressing particles bre, măi (§2.3, the connectors with demarcation signal function adevăr, amin (§2.4. The third section (§3 has as objective the description of a species of delocutive derivation, illustrated in Romanian by the lexicalized semantic variants of the secondary interjection Doamne!. The study concludes with several final considerations regarding the results of the research (§4.

  12. Facilitating text reading in posterior cortical atrophy.

    Science.gov (United States)

    Yong, Keir X X; Rajdev, Kishan; Shakespeare, Timothy J; Leff, Alexander P; Crutch, Sebastian J

    2015-07-28

    We report (1) the quantitative investigation of text reading in posterior cortical atrophy (PCA), and (2) the effects of 2 novel software-based reading aids that result in dramatic improvements in the reading ability of patients with PCA. Reading performance, eye movements, and fixations were assessed in patients with PCA and typical Alzheimer disease and in healthy controls (experiment 1). Two reading aids (single- and double-word) were evaluated based on the notion that reducing the spatial and oculomotor demands of text reading might support reading in PCA (experiment 2). Mean reading accuracy in patients with PCA was significantly worse (57%) compared with both patients with typical Alzheimer disease (98%) and healthy controls (99%); spatial aspects of passages were the primary determinants of text reading ability in PCA. Both aids led to considerable gains in reading accuracy (PCA mean reading accuracy: single-word reading aid = 96%; individual patient improvement range: 6%-270%) and self-rated measures of reading. Data suggest a greater efficiency of fixations and eye movements under the single-word reading aid in patients with PCA. These findings demonstrate how neurologic characterization of a neurodegenerative syndrome (PCA) and detailed cognitive analysis of an important everyday skill (reading) can combine to yield aids capable of supporting important everyday functional abilities. This study provides Class III evidence that for patients with PCA, 2 software-based reading aids (single-word and double-word) improve reading accuracy. © 2015 American Academy of Neurology.

  13. Text Character Extraction Implementation from Captured Handwritten Image to Text Conversionusing Template Matching Technique

    Directory of Open Access Journals (Sweden)

    Barate Seema

    2016-01-01

    Full Text Available Images contain various types of useful information that should be extracted whenever required. A various algorithms and methods are proposed to extract text from the given image, and by using that user will be able to access the text from any image. Variations in text may occur because of differences in size, style,orientation, alignment of text, and low image contrast, composite backgrounds make the problem during extraction of text. If we develop an application that extracts and recognizes those texts accurately in real time, then it can be applied to many important applications like document analysis, vehicle license plate extraction, text- based image indexing, etc and many applications have become realities in recent years. To overcome the above problems we develop such application that will convert the image into text by using algorithms, such as bounding box, HSV model, blob analysis,template matching, template generation.

  14. Text summarization as a decision support aid

    Directory of Open Access Journals (Sweden)

    Workman T

    2012-05-01

    Full Text Available Abstract Background PubMed data potentially can provide decision support information, but PubMed was not exclusively designed to be a point-of-care tool. Natural language processing applications that summarize PubMed citations hold promise for extracting decision support information. The objective of this study was to evaluate the efficiency of a text summarization application called Semantic MEDLINE, enhanced with a novel dynamic summarization method, in identifying decision support data. Methods We downloaded PubMed citations addressing the prevention and drug treatment of four disease topics. We then processed the citations with Semantic MEDLINE, enhanced with the dynamic summarization method. We also processed the citations with a conventional summarization method, as well as with a baseline procedure. We evaluated the results using clinician-vetted reference standards built from recommendations in a commercial decision support product, DynaMed. Results For the drug treatment data, Semantic MEDLINE enhanced with dynamic summarization achieved average recall and precision scores of 0.848 and 0.377, while conventional summarization produced 0.583 average recall and 0.712 average precision, and the baseline method yielded average recall and precision values of 0.252 and 0.277. For the prevention data, Semantic MEDLINE enhanced with dynamic summarization achieved average recall and precision scores of 0.655 and 0.329. The baseline technique resulted in recall and precision scores of 0.269 and 0.247. No conventional Semantic MEDLINE method accommodating summarization for prevention exists. Conclusion Semantic MEDLINE with dynamic summarization outperformed conventional summarization in terms of recall, and outperformed the baseline method in both recall and precision. This new approach to text summarization demonstrates potential in identifying decision support data for multiple needs.

  15. Music as a Component of Biographic Text

    Directory of Open Access Journals (Sweden)

    Svitlana Macenka

    2014-11-01

    Full Text Available The role of music in the biography of a musician is analyzed. The focus is on the life of famous composers interpretation via their work and the role of music in structuring, aestheticization, additional semantization of biography. It is indicated that the artist stands out in the context of his time as the center of productive gravity, thus a musician’s biography demonstrates communication of the life and creative ways, distinguishing its major milestones and at the same time emphasizing the individual changes of the artist and those his innovations that defined the image of the era. It goes about the semantization of music by an author-biographer, the desire to articulate the principles of an individual artist (also by reference to the listening to musical works, comprehended as his musical text, with its help. For example, the genre of musician biography is viewed as based on the corresponding biographies of W. A. Mozart, Ludwig van Beethoven and Richard Strauss. It is noted that W. A. Mozart is considered a catalyst for musical biographical writing, for certain events of his life were such that he started to be generally recognized as the prototype of the artist. Biographers of both Mozart and Beethoven are convinced of the efficiency of the biographical method in relation to musical analysis. Richard Strauss’s musical-biographical text is also structured according to the logic of musical thinking. A tendency towards correlation between life and work inherent in the biographies of musicians is also peculiar to the novel which tends to music.

  16. Subject and text production in virtual campus

    Directory of Open Access Journals (Sweden)

    Diana Mireya Cuéllar Sánchez

    2013-07-01

    Full Text Available This research takes place in the context of academic processes in virtual campus, through field diaries, which recorded the interactions and dynamics of both students and teachers, two discussion groups were planned with counselors who develop their practice through virtual platforms. This allowed us to recognize a substantial difference between the usual subject of culture and the virtual subject, this aspect has been developed over the investigation. Finally an argument arises about the need to work with methodologies that blend the synchronous and asynchronous chnopedagogy practices of virtual environments in order to promote academic interaction, critical and the possibility of textual construction.

  17. Terminology extraction from medical texts in Polish.

    Science.gov (United States)

    Marciniak, Małgorzata; Mykowiecka, Agnieszka

    2014-01-01

    Hospital documents contain free text describing the most important facts relating to patients and their illnesses. These documents are written in specific language containing medical terminology related to hospital treatment. Their automatic processing can help in verifying the consistency of hospital documentation and obtaining statistical data. To perform this task we need information on the phrases we are looking for. At the moment, clinical Polish resources are sparse. The existing terminologies, such as Polish Medical Subject Headings (MeSH), do not provide sufficient coverage for clinical tasks. It would be helpful therefore if it were possible to automatically prepare, on the basis of a data sample, an initial set of terms which, after manual verification, could be used for the purpose of information extraction. Using a combination of linguistic and statistical methods for processing over 1200 children hospital discharge records, we obtained a list of single and multiword terms used in hospital discharge documents written in Polish. The phrases are ordered according to their presumed importance in domain texts measured by the frequency of use of a phrase and the variety of its contexts. The evaluation showed that the automatically identified phrases cover about 84% of terms in domain texts. At the top of the ranked list, only 4% out of 400 terms were incorrect while out of the final 200, 20% of expressions were either not domain related or syntactically incorrect. We also observed that 70% of the obtained terms are not included in the Polish MeSH. Automatic terminology extraction can give results which are of a quality high enough to be taken as a starting point for building domain related terminological dictionaries or ontologies. This approach can be useful for preparing terminological resources for very specific subdomains for which no relevant terminologies already exist. The evaluation performed showed that none of the tested ranking procedures were

  18. CCM: A Text Classification Method by Clustering

    DEFF Research Database (Denmark)

    Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock

    2011-01-01

    In this paper, a new Cluster based Classification Model (CCM) for suspicious email detection and other text classification tasks, is presented. Comparative experiments of the proposed model against traditional classification models and the boosting algorithm are also discussed. Experimental results...... show that the CCM outperforms traditional classification models as well as the boosting algorithm for the task of suspicious email detection on terrorism domain email dataset and topic categorization on the Reuters-21578 and 20 Newsgroups datasets. The overall finding is that applying a cluster based...

  19. Methods for Mining and Summarizing Text Conversations

    CERN Document Server

    Carenini, Giuseppe; Murray, Gabriel

    2011-01-01

    Due to the Internet Revolution, human conversational data -- in written forms -- are accumulating at a phenomenal rate. At the same time, improvements in speech technology enable many spoken conversations to be transcribed. Individuals and organizations engage in email exchanges, face-to-face meetings, blogging, texting and other social media activities. The advances in natural language processing provide ample opportunities for these "informal documents" to be analyzed and mined, thus creating numerous new and valuable applications. This book presents a set of computational methods

  20. Unsupervised information extraction by text segmentation

    CERN Document Server

    Cortez, Eli

    2013-01-01

    A new unsupervised approach to the problem of Information Extraction by Text Segmentation (IETS) is proposed, implemented and evaluated herein. The authors' approach relies on information available on pre-existing data to learn how to associate segments in the input string with attributes of a given domain relying on a very effective set of content-based features. The effectiveness of the content-based features is also exploited to directly learn from test data structure-based features, with no previous human-driven training, a feature unique to the presented approach. Based on the approach, a

  1. Science and Technology Text Mining: Nonlinear Dynamics

    Science.gov (United States)

    2004-02-01

    NOVOSIBIRSK NUCL PHYS INST SIBERIA 7 GREBOGI--C UNIV MARYLAND USA 6 MANDEL--P UNIV LIBRE BRUXELLES BELGIUM 6 iv SCOTT--SK UNIV LEEDS ENGLAND 6 STOOP--R UNIV...DM AM GORKII STATE UNIVERSITY UKRAINE 8 SHEPELYANSKY--DL NOVOSIBIRSK NUCL PHYS INST SIBERIA 7 GREBOGI--C UNIV MARYLAND USA 6 MANDEL--P UNIV LIBRE...ATMOSPHERE 10 ENVIRONMENT 92 Nonlinear Dynamics Text Mining Appendices Page 76 BIODIVERSITY 10 ENVIRONMENT 102 CALIFORNIA 10 ENVIRONMENT 112 ECOLOGY 10

  2. EMIŢĂTOR. RECEPTOR. TEXT LITERAR

    Directory of Open Access Journals (Sweden)

    Simona Tanase

    2008-05-01

    Full Text Available The given piece of work „Utterer. Receiver. Literary text”, sets to exemplify/illustrate the fact thatliterature is similar to a communication act. The writer, as the author of a message, becomes utterer, and thecode he uses is the artistic language. The reader becomes the receiver of this message through reading, seen as„a process of revealing the meanings”.Afterwards we wanted to puzzle out „the message” of the novel „Miss Romania” by Cezar Petrescu,following several levels of representation: denotation, connotation, myths, symbols.Literature is, therefore, an artistic process of communication between the creator and the receiver.

  3. Lexical processing during saccades in text comprehension.

    Science.gov (United States)

    Yatabe, Kiyomi; Pickering, Martin J; McDonald, Scott A

    2009-02-01

    We asked whether people process words during saccades when reading sentences. Irwin (1998) demonstrated that such processing occurs when words are presented in isolation. In our experiment, participants read part of a sentence ending in a high- or low-frequency target word and then made a long (40 degrees) or short (10 degrees) saccade to the rest of the sentence. We found a frequency effect on the target word and the first word after the saccade, but the effect was greater for short than for long saccades. Readers therefore performed more lexical processing during long saccades than during short ones. Hence, lexical processing takes place during saccades in text comprehension.

  4. Chemical-text hybrid search engines.

    Science.gov (United States)

    Zhou, Yingyao; Zhou, Bin; Jiang, Shumei; King, Frederick J

    2010-01-01

    As the amount of chemical literature increases, it is critical that researchers be enabled to accurately locate documents related to a particular aspect of a given compound. Existing solutions, based on text and chemical search engines alone, suffer from the inclusion of "false negative" and "false positive" results, and cannot accommodate diverse repertoire of formats currently available for chemical documents. To address these concerns, we developed an approach called Entity-Canonical Keyword Indexing (ECKI), which converts a chemical entity embedded in a data source into its canonical keyword representation prior to being indexed by text search engines. We implemented ECKI using Microsoft Office SharePoint Server Search, and the resultant hybrid search engine not only supported complex mixed chemical and keyword queries but also was applied to both intranet and Internet environments. We envision that the adoption of ECKI will empower researchers to pose more complex search questions that were not readily attainable previously and to obtain answers at much improved speed and accuracy.

  5. The use of digressions in oral texts

    Directory of Open Access Journals (Sweden)

    Leila Maria Tesch

    2017-02-01

    Full Text Available Digression occurs in a momentary action of suspension of a topic, in which a new and of more interest one is introduced in that moment, followed by the reintroduction of the original topic. According Dascal and Katriel (1979, there are three types of digressions: 1 the one based on the enunciation; 2 the one based on the interaction; and on 3 inserted sequences. This paper aims to investigate the use of these three types of digressions in oral texts produced by Capixabas speakers, extracted from typically labovian interviews from the PortVix database. The objective of this research is to observe to what extent the interaction, by employing this strategy, is a kind of reorientation of its meaning. The qualitative analysis of the data showed that digression is a conversational strategy which is widely used by the speaker and, despite its suspensory and fluctuating character, it should be considered a coherent event, provided that it decisively intervenes in the establishment, and maintenance of textual and interactional organization of the communicative event.

  6. Validating presupposed versus focused text information.

    Science.gov (United States)

    Singer, Murray; Solar, Kevin G; Spear, Jackie

    2017-04-01

    There is extensive evidence that readers continually validate discourse accuracy and congruence, but that they may also overlook conspicuous text contradictions. Validation may be thwarted when the inaccurate ideas are embedded sentence presuppositions. In four experiments, we examined readers' validation of presupposed ("given") versus new text information. Throughout, a critical concept, such as a truck versus a bus, was introduced early in a narrative. Later, a character stated or thought something about the truck, which therefore matched or mismatched its antecedent. Furthermore, truck was presented as either given or new information. Mismatch target reading times uniformly exceeded the matching ones by similar magnitudes for given and new concepts. We obtained this outcome using different grammatical constructions and with different antecedent-target distances. In Experiment 4, we examined only given critical ideas, but varied both their matching and the main verb's factivity (e.g., factive know vs. nonfactive think). The Match × Factivity interaction closely resembled that previously observed for new target information (Singer, 2006). Thus, readers can successfully validate given target information. Although contemporary theories tend to emphasize either deficient or successful validation, both types of theory can accommodate the discourse and reader variables that may regulate validation.

  7. Text and Subject Position after Althusser

    Directory of Open Access Journals (Sweden)

    Antony Easthope

    1994-01-01

    Full Text Available Althusser's achievement is that he redefined Marxism. He reconceptualizes history and totality in terms of different times, construes knowledge as the outcome of a process of construction, and interprets subjectivity as an effect of ideology and unconscious processes. Unfortunately, Althusser's functionalist view of ideology claims that the subject recognizes itself as a subject because it duplicates— reflects—an absolute subject. However, Lacan's notion of the mirror stage remedies this fault. Lacan's subject always misrecognizes itself in a process of contradiction that threatens the stability of any given social order. Moreover, unlike Foucault's subject, which is limited in that subjectivity is folded back into a vaguely expanded notion of "power," this revised Althusserian subject allows careful reading of texts. The critic does not simply read against the grain; he or she exposes the multiple points of identification offered the reader. For example, Wordsworth's "The Solitary Reaper" installs the reader in multiple positions: a devotee of high culture and the national canon, a lover of the verbal signifier and its play, a consumer of confessional discourse, and a masculine "I" desiring a laboring, singing woman.

  8. Challenges in the interpretation of lyric texts

    Directory of Open Access Journals (Sweden)

    Buljan-Legati Ivana

    2016-01-01

    Full Text Available It is possible, perhaps, to choose the right path to the answer to the questions how poetry has been disappearing over the centuries and has lost its purpose in the ever greater void of outer space and how it has turned from a common and welcome social activity into a phenomenon that will have to leave its fellow-townspeople due to enormous suspicion about the communal language, the world view of the majority and the material world, if first, (at least a rough reconstruction of the sense and nature of continual changes in the poetic mechanism has been done (a more detailed overview would extend the paper enormously, as well as of the changes in style and the reception of poetry, since each choice of a possible linguistic system in a particular historical period soon heralded its own boundary line. From a popular, entertaining and educational genre as a transparent means of social communication, which has brought the individual into a community by generating stable certainty, and gave him the sense of control over his own destiny and meaning, lyrics will outgrow proportionally the aesthetic dimensions of its texts (which will subsequently substitute the foretoken of literacy, becoming less comparable and surmountable, in certain periods almost a nontransferable artistic view. In such circumstances, the public will start to have less understanding and tolerance for its 'weaknesses'.

  9. TEXT COMPRESSION ALGORITHMS - A COMPARATIVE STUDY

    Directory of Open Access Journals (Sweden)

    S. Senthil

    2011-12-01

    Full Text Available Data Compression may be defined as the science and art of the representation of information in a crisply condensed form. For decades, Data compression has been one of the critical enabling technologies for the ongoing digital multimedia revolution. There are a lot of data compression algorithms which are available to compress files of different formats. This paper provides a survey of different basic lossless data compression algorithms. Experimental results and comparisons of the lossless compression algorithms using Statistical compression techniques and Dictionary based compression techniques were performed on text data. Among the Statistical coding techniques, the algorithms such as Shannon-Fano Coding, Huffman coding, Adaptive Huffman coding, Run Length Encoding and Arithmetic coding are considered. Lempel Ziv scheme which is a dictionary based technique is divided into two families: one derived from LZ77 (LZ77, LZSS, LZH, LZB and LZR and the other derived from LZ78 (LZ78, LZW, LZFG, LZC and LZT. A set of interesting conclusions are derived on this basis.

  10. There is a Text in 'The Balloon'

    DEFF Research Database (Denmark)

    Elias, Camelia

    2009-01-01

    From the Introduction: Camelia Elias' "There is a Text in 'The Balloon': Donald Barthelme's Allegorical Flights" provides its reader with a much-need and useful distinction between fantasy and the fantastic: "whereas fantasy in critical discourse can be aligned with allegory, in which a supernatu......From the Introduction: Camelia Elias' "There is a Text in 'The Balloon': Donald Barthelme's Allegorical Flights" provides its reader with a much-need and useful distinction between fantasy and the fantastic: "whereas fantasy in critical discourse can be aligned with allegory, in which....... The concept of knowledge and story-telling is exemplified in the Biblical Fall-myth and in Scheherazade. Here Camelia Elias' gendered and witty point is that man knows (or rather wishes to know) and that woman knows (but does not tell). Finally, the meaning of a giant balloon appearing in the sky over New...... York in Donald Barthelme's short story  "The Balloon" from 1968 is discussed in the light of the chapter's epistemological understanding of fantasy....

  11. El manual como texto Schoolbook as text

    Directory of Open Access Journals (Sweden)

    Agustín Escolano Benito

    2012-12-01

    Full Text Available Este trabajo aborda la cuestión de la identidad del libro escolar como un género textual específico en el contexto de la manualística clásica y moderna, contextualizando los análisis en el marco de la cultura de la escuela tradicional y en la era de la revolución digital y bajo una perspectiva historiográfica y teórica. También plantea el nacimiento y primeros desarrollos de la manualística como campo intelectual y académico y sus contribuciones a la definición de la identidad del libro escolar.This paper discusses the question of identifying a coursebook as a specific text genre in the context of the classical and modern manualistics, situating the analysis within the traditional school culture and the digital revolution era, under a historical and theoretical perspective. It also covers the birth and initial development of manualistics as an intelectual and academic field and its contributions to the definition of the schoolbook identity.

  12. Visualizing the semantic content of large text databases using text maps

    Science.gov (United States)

    Combs, Nathan

    1993-01-01

    A methodology for generating text map representations of the semantic content of text databases is presented. Text maps provide a graphical metaphor for conceptualizing and visualizing the contents and data interrelationships of large text databases. Described are a set of experiments conducted against the TIPSTER corpora of Wall Street Journal articles. These experiments provide an introduction to current work in the representation and visualization of documents by way of their semantic content.

  13. Improving Part-of-Speech Tagging of Historical Text by First Translating to Modern Text

    NARCIS (Netherlands)

    Tjong Kim Sang, E.

    2016-01-01

    We explore the task of automatically assigning syntactic tags (known as part-of-speech tags) like Noun and Verb to words in seventeenth-century Dutch text. Tools exist for performing this task for modern texts but they perform poorly on historical texts because of language changes. We test several

  14. Learning from Text: Matching Readers and Texts by Latent Semantic Analysis.

    Science.gov (United States)

    Wolfe, Michael B. W.; Schreiner, M. E.; Rehder, Bob; Laham, Darrell; Foltz, Peter W.; Kintsch, Walter; Landauer, Thomas K

    1998-01-01

    Uses Latent Semantic Analysis (LSA) to predict how much readers would learn from texts based on the estimated conceptual match between their topic knowledge and the text information. Shows a nonmonotonic relationship in which learning was greatest for texts that were neither too easy nor too difficult. Finds LSA was as effective at predicting…

  15. Prior Knowledge, Reading Skill, and Text Cohesion in the Comprehension of Science Texts

    Science.gov (United States)

    Ozuru, Yasuhiro; Dempsey, Kyle; McNamara, Danielle S.

    2009-01-01

    This study examined how text features (i.e., cohesion) and individual differences (i.e., reading skill and prior knowledge) contribute to biology text comprehension. College students with low and high levels of biology knowledge read two biology texts, one of which was high in cohesion and the other low in cohesion. The two groups were similar in…

  16. Learning from Conflicting Texts: The Role of Intertextual Conflict Resolution in Between-Text Integration

    Science.gov (United States)

    Kobayashi, Keiichi

    2015-01-01

    The present study examined the effect of intertextual conflict resolution on learning from conflicting texts. In two experiments, participants read sets of two texts under the condition of being encouraged either to resolve a conflict between the texts' arguments (the resolution condition) or to comprehend the arguments (the comprehension…

  17. MANAGING THE TRANSLATION OF ECONOMIC TEXTS

    Directory of Open Access Journals (Sweden)

    Pop Anamaria Mirabela

    2012-12-01

    Full Text Available Theoretically, translation may pass as science; practically, it seems closer to art. Translation is a challenging activity requiring a set of abilities and posing few difficulties that appear during the translation process. This paper investigates the extent to which sub-technical vocabulary can constitute a problem to Romanian students of economics reading in English, by looking at the translations produced as independent or pair work during English classes and analyzing the various errors which may appeared. The exigencies required by the efficient business communication have increased in the past few decades because of rising international trade, increased migration, globalization, the recognition of linguistic minorities, and the expansion of the mass media and technology. All these led us to approach the topic of translation which is actually a job that requires skills, stages of research necessary for disclosure of transfer characteristic into the target language, training, experience and a good sense of languages. The paper defines the theoretical issues and terminology: translation, types of translation, economic texts and then focuses on the presentation of the practical work carried out throughout the academic year of second year students. Considering that only 28% of the entire European population can read English, and even less people in South America and Asia can, it is obvious that an effective communication of business matters relies on an accurate understanding of terminology. Economics is a field of knowledge in accelerated scientific and technological development. As there is a permanent and ever increasing need to quickly update their knowledge, economists read and learn directly in the original language of the publication and stick to it in daily usage, including conferences, scientific events and articles written in Romanian. Besides researching properly the markets, finding distribution channels, and dealing with legal

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

    Directory of Open Access Journals (Sweden)

    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

  19. A Fast and Robust Text Spotter.

    Science.gov (United States)

    Qin, Siyang; Manduchi, Roberto

    2016-03-01

    We introduce an algorithm for text detection and localization ("spotting") that is computationally efficient and produces state-of-the-art results. Our system uses multi-channel MSERs to detect a large number of promising regions, then subsamples these regions using a clustering approach. Representatives of region clusters are binarized and then passed on to a deep network. A final line grouping stage forms word-level segments. On the ICDAR 2011 and 2015 benchmarks, our algorithm obtains an F-score of 82% and 83%, respectively, at a computational cost of 1.2 seconds per frame. We also introduce a version that is three times as fast, with only a slight reduction in performance.

  20. Word and text processing in developmental prosopagnosia.

    Science.gov (United States)

    Rubino, Cristina; Corrow, Sherryse L; Corrow, Jeffrey C; Duchaine, Brad; Barton, Jason J S

    2016-01-01

    The "many-to-many" hypothesis proposes that visual object processing is supported by distributed circuits that overlap for different object categories. For faces and words the hypothesis posits that both posterior fusiform regions contribute to both face and visual word perception and predicts that unilateral lesions impairing one will affect the other. However, studies testing this hypothesis have produced mixed results. We evaluated visual word processing in subjects with developmental prosopagnosia, a condition linked to right posterior fusiform abnormalities. Ten developmental prosopagnosic subjects performed a word-length effect task and a task evaluating the recognition of word content across variations in text style, and the recognition of style across variations in word content. All subjects had normal word-length effects. One had prolonged sorting time for word recognition in handwritten stimuli. These results suggest that the deficit in developmental prosopagnosia is unlikely to affect visual word processing, contrary to predictions of the many-to-many hypothesis.

  1. Issues in learning an ontology from text

    Science.gov (United States)

    Brewster, Christopher; Jupp, Simon; Luciano, Joanne; Shotton, David; Stevens, Robert D; Zhang, Ziqi

    2009-01-01

    Ontology construction for any domain is a labour intensive and complex process. Any methodology that can reduce the cost and increase efficiency has the potential to make a major impact in the life sciences. This paper describes an experiment in ontology construction from text for the animal behaviour domain. Our objective was to see how much could be done in a simple and relatively rapid manner using a corpus of journal papers. We used a sequence of pre-existing text processing steps, and here describe the different choices made to clean the input, to derive a set of terms and to structure those terms in a number of hierarchies. We describe some of the challenges, especially that of focusing the ontology appropriately given a starting point of a heterogeneous corpus. Using mainly automated techniques, we were able to construct an 18055 term ontology-like structure with 73% recall of animal behaviour terms, but a precision of only 26%. We were able to clean unwanted terms from the nascent ontology using lexico-syntactic patterns that tested the validity of term inclusion within the ontology. We used the same technique to test for subsumption relationships between the remaining terms to add structure to the initially broad and shallow structure we generated. All outputs are available at . We present a systematic method for the initial steps of ontology or structured vocabulary construction for scientific domains that requires limited human effort and can make a contribution both to ontology learning and maintenance. The method is useful both for the exploration of a scientific domain and as a stepping stone towards formally rigourous ontologies. The filtering of recognised terms from a heterogeneous corpus to focus upon those that are the topic of the ontology is identified to be one of the main challenges for research in ontology learning. PMID:19426458

  2. Text summarization as a decision support aid.

    Science.gov (United States)

    Workman, T Elizabeth; Fiszman, Marcelo; Hurdle, John F

    2012-05-23

    PubMed data potentially can provide decision support information, but PubMed was not exclusively designed to be a point-of-care tool. Natural language processing applications that summarize PubMed citations hold promise for extracting decision support information. The objective of this study was to evaluate the efficiency of a text summarization application called Semantic MEDLINE, enhanced with a novel dynamic summarization method, in identifying decision support data. We downloaded PubMed citations addressing the prevention and drug treatment of four disease topics. We then processed the citations with Semantic MEDLINE, enhanced with the dynamic summarization method. We also processed the citations with a conventional summarization method, as well as with a baseline procedure. We evaluated the results using clinician-vetted reference standards built from recommendations in a commercial decision support product, DynaMed. For the drug treatment data, Semantic MEDLINE enhanced with dynamic summarization achieved average recall and precision scores of 0.848 and 0.377, while conventional summarization produced 0.583 average recall and 0.712 average precision, and the baseline method yielded average recall and precision values of 0.252 and 0.277. For the prevention data, Semantic MEDLINE enhanced with dynamic summarization achieved average recall and precision scores of 0.655 and 0.329. The baseline technique resulted in recall and precision scores of 0.269 and 0.247. No conventional Semantic MEDLINE method accommodating summarization for prevention exists. Semantic MEDLINE with dynamic summarization outperformed conventional summarization in terms of recall, and outperformed the baseline method in both recall and precision. This new approach to text summarization demonstrates potential in identifying decision support data for multiple needs.

  3. 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

  4. 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

  5. Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction

    Directory of Open Access Journals (Sweden)

    Darko Brodić

    2010-05-01

    Full Text Available Text line segmentation is an essential stage in off-line optical character recognition (OCR systems. It is a key because inaccurately segmented text lines will lead to OCR failure. Text line segmentation of handwritten documents is a complex and diverse problem, complicated by the nature of handwriting. Hence, text line segmentation is a leading challenge in handwritten document image processing. Due to inconsistencies in measurement and evaluation of text segmentation algorithm quality, some basic set of measurement methods is required. Currently, there is no commonly accepted one and all algorithm evaluation is custom oriented. In this paper, a basic test framework for the evaluation of text feature extraction algorithms is proposed. This test framework consists of a few experiments primarily linked to text line segmentation, skew rate and reference text line evaluation. Although they are mutually independent, the results obtained are strongly cross linked. In the end, its suitability for different types of letters and languages as well as its adaptability are its main advantages. Thus, the paper presents an efficient evaluation method for text analysis algorithms.

  6. Text Mining Metal-Organic Framework Papers.

    Science.gov (United States)

    Park, Sanghoon; Kim, Baekjun; Choi, Sihoon; Boyd, Peter G; Smit, Berend; Kim, Jihan

    2018-02-26

    We have developed a simple text mining algorithm that allows us to identify surface area and pore volumes of metal-organic frameworks (MOFs) using manuscript html files as inputs. The algorithm searches for common units (e.g., m 2 /g, cm 3 /g) associated with these two quantities to facilitate the search. From the sample set data of over 200 MOFs, the algorithm managed to identify 90% and 88.8% of the correct surface area and pore volume values. Further application to a test set of randomly chosen MOF html files yielded 73.2% and 85.1% accuracies for the two respective quantities. Most of the errors stem from unorthodox sentence structures that made it difficult to identify the correct data as well as bolded notations of MOFs (e.g., 1a) that made it difficult identify its real name. These types of tools will become useful when it comes to discovering structure-property relationships among MOFs as well as collecting a large set of data for references.

  7. Sparse Text Indexing in Small Space

    DEFF Research Database (Denmark)

    Bille, Philip; Fischer, Johannes; Gørtz, Inge Li

    2016-01-01

    In this work, we present efficient algorithms for constructing sparse suffix trees, sparse suffix arrays, and sparse position heaps for b arbitrary positions of a text T of length n while using only O(b) words of space during the construction. Attempts at breaking the naïve bound of Ω(nb) time...... for constructing sparse suffix trees in O(b) space can be traced back to the origins of string indexing in 1968. First results were not obtained until 1996, but only for the case in which the b suffixes were evenly spaced in T. In this article, there is no constraint on the locations of the suffixes. Our main...... contribution is to show that the sparse suffix tree (and array) can be constructed in O(nlog 2b) time. To achieve this, we develop a technique that allows one to efficiently answer b longest common prefix queries on suffixes of T, using only O(b) space. We expect that this technique will prove useful in many...

  8. Speech to Text Translation for Malay Language

    Science.gov (United States)

    Al-khulaidi, Rami Ali; Akmeliawati, Rini

    2017-11-01

    The speech recognition system is a front end and a back-end process that receives an audio signal uttered by a speaker and converts it into a text transcription. The speech system can be used in several fields including: therapeutic technology, education, social robotics and computer entertainments. In most cases in control tasks, which is the purpose of proposing our system, wherein the speed of performance and response concern as the system should integrate with other controlling platforms such as in voiced controlled robots. Therefore, the need for flexible platforms, that can be easily edited to jibe with functionality of the surroundings, came to the scene; unlike other software programs that require recording audios and multiple training for every entry such as MATLAB and Phoenix. In this paper, a speech recognition system for Malay language is implemented using Microsoft Visual Studio C#. 90 (ninety) Malay phrases were tested by 10 (ten) speakers from both genders in different contexts. The result shows that the overall accuracy (calculated from Confusion Matrix) is satisfactory as it is 92.69%.

  9. Powerful Vocabulary Acquisition through Texts Comparison

    Directory of Open Access Journals (Sweden)

    Mohammad Reza Hasannejad

    2015-03-01

    Full Text Available This study aimed to investigate if dual version reading comprehension had a positive effect on Intermediate EFL students’ general vocabulary acquisition, receptive and productive knowledge of vocabulary and students’ synonymous power of words. Two groups were selected - the experimental group and the control group. The study included: (1 four pretests (2 the dual version reading comprehension, and (3 four posttests. It was found that there was no significant difference between the two groups of students on the pretests. However there was a significant difference between the two groups of the students on the posttests. Overall, the dual version reading comprehension vocabulary-learning made the experimental group learners outperformed the control groups in terms of their performance on four types of vocabulary tests. This indicates that students following dual version reading comprehension were more successful in vocabulary acquisition, and developing their receptive knowledge of vocabulary, transferring their receptive knowledge in to the productive knowledge and enhancing the memorization of the synonymous words.

  10. Linguistically informed digital fingerprints for text

    Science.gov (United States)

    Uzuner, Özlem

    2006-02-01

    Digital fingerprinting, watermarking, and tracking technologies have gained importance in the recent years in response to growing problems such as digital copyright infringement. While fingerprints and watermarks can be generated in many different ways, use of natural language processing for these purposes has so far been limited. Measuring similarity of literary works for automatic copyright infringement detection requires identifying and comparing creative expression of content in documents. In this paper, we present a linguistic approach to automatically fingerprinting novels based on their expression of content. We use natural language processing techniques to generate "expression fingerprints". These fingerprints consist of both syntactic and semantic elements of language, i.e., syntactic and semantic elements of expression. Our experiments indicate that syntactic and semantic elements of expression enable accurate identification of novels and their paraphrases, providing a significant improvement over techniques used in text classification literature for automatic copy recognition. We show that these elements of expression can be used to fingerprint, label, or watermark works; they represent features that are essential to the character of works and that remain fairly consistent in the works even when works are paraphrased. These features can be directly extracted from the contents of the works on demand and can be used to recognize works that would not be correctly identified either in the absence of pre-existing labels or by verbatim-copy detectors.

  11. Automatically ordering events and times in text

    CERN Document Server

    Derczynski, Leon R A

    2017-01-01

    The book offers a detailed guide to temporal ordering, exploring open problems in the field and providing solutions and extensive analysis. It addresses the challenge of automatically ordering events and times in text. Aided by TimeML, it also describes and presents concepts relating to time in easy-to-compute terms. Working out the order that events and times happen has proven difficult for computers, since the language used to discuss time can be vague and complex. Mapping out these concepts for a computational system, which does not have its own inherent idea of time, is, unsurprisingly, tough. Solving this problem enables powerful systems that can plan, reason about events, and construct stories of their own accord, as well as understand the complex narratives that humans express and comprehend so naturally. This book presents a theory and data-driven analysis of temporal ordering, leading to the identification of exactly what is difficult about the task. It then proposes and evaluates machine-learning so...

  12. Named entity recognition in Slovene text

    Directory of Open Access Journals (Sweden)

    Tadej Štajner

    2013-12-01

    Full Text Available This paper presents an approach and an implementation of a named entity extractor for Slovene language, based on a machine learning approach. It is designed as a supervised algorithm based on Conditional Random Fields and is trained on the ssj500k annotated corpus of Slovene. The corpus, which is available under a Creative Commons CC-BY-NC-SA licence, is annotated with morphosyntactic tags, as well as named entities for people, locations, organisations, and miscellaneous names. The paper discusses the influence of morphosyntactic tags, lexicons and conjunctions of features of neighbouring words. An important contribution of this investigation is that morphosyntactic tags benefit named entity extraction. Using all the best-performing features the recognizer reaches a precision of 74% and a recall of 72%, having stronger performance on personal and geographical named entities, followed by organizations, but performs poorly on the miscellaneous entities, since this class is very diverse and consequently difficult to predict. A major contribution of the paper is also showing the benefits of splitting the class of miscellaneous entities into organizations and other entities, which in turn improves performance even on personal and organizational names. The software, developed in this research is freely available under the Apache 2.0 licence at http://ailab.ijs.si/~tadej/slner.zip, while development versions are available at https://github.com/tadejs/slner.

  13. Dynamic Chemical Model for $\\text {H} _2 $/$\\text {O} _2 $ Combustion Developed Through a Community Workflow

    KAUST Repository

    Oreluk, James

    2018-01-30

    Elementary-reaction models for $\\\\text{H}_2$/$\\\\text{O}_2$ combustion were evaluated and optimized through a collaborative workflow, establishing accuracy and characterizing uncertainties. Quantitative findings were the optimized model, the importance of $\\\\text{H}_2 + \\\\text{O}_2(1\\\\Delta) = \\\\text{H} + \\\\text{HO}_2$ in high-pressure flames, and the inconsistency of certain low-temperature shock-tube data. The workflow described here is proposed to be even more important because the approach and publicly available cyberinfrastructure allows future community development of evolving improvements. The workflow steps applied here were to develop an initial reaction set using Burke et al. [2012], Burke et al. [2013], Sellevag et al. [2009], and Konnov [2015]; test it for thermodynamic and kinetics consistency and plausibility against other sets in the literature; assign estimated uncertainties where not stated in the sources; select key data targets (

  14. AViTExt: Automatic Video Text Extraction, A new Approach for video content indexing Application

    OpenAIRE

    Bouaziz, Baseem; Zlitni, Tarek; Walid MAHDI

    2013-01-01

    In this paper, we propose a spatial temporal video-text detection technique which proceed in two principal steps:potential text region detection and a filtering process. In the first step we divide dynamically each pair of consecutive video frames into sub block in order to detect change. A significant difference between homologous blocks implies the appearance of an important object which may be a text region. The temporal redundancy is then used to filter these regions and forms an effectiv...

  15. 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.

  16. Comparing and combining chunkers of biomedical text.

    Science.gov (United States)

    Kang, Ning; van Mulligen, Erik M; Kors, Jan A

    2011-04-01

    Text chunking is an essential pre-processing step in information extraction systems. No comparative studies of chunking systems, including sentence splitting, tokenization and part-of-speech tagging, are available for the biomedical domain. We compared the usability (ease of integration, speed, trainability) and performance of six state-of-the-art chunkers for the biomedical domain, and combined the chunker results in order to improve chunking performance. We investigated six frequently used chunkers: GATE chunker, Genia Tagger, Lingpipe, MetaMap, OpenNLP, and Yamcha. All chunkers were integrated into the Unstructured Information Management Architecture framework. The GENIA Treebank corpus was used for training and testing. Performance was assessed for noun-phrase and verb-phrase chunking. For both noun-phrase chunking and verb-phrase chunking, OpenNLP performed best (F-scores 89.7% and 95.7%, respectively), but differences with Genia Tagger and Yamcha were small. With respect to usability, Lingpipe and OpenNLP scored best. When combining the results of the chunkers by a simple voting scheme, the F-score of the combined system improved by 3.1 percentage point for noun phrases and 0.6 percentage point for verb phrases as compared to the best single chunker. Changing the voting threshold offered a simple way to obtain a system with high precision (and moderate recall) or high recall (and moderate precision). This study is the first to compare the performance of the whole chunking pipeline, and to combine different existing chunking systems. Several chunkers showed good performance, but OpenNLP scored best both in performance and usability. The combination of chunker results by a simple voting scheme can further improve performance and allows for different precision-recall settings. Copyright © 2010 Elsevier Inc. All rights reserved.

  17. Basic test framework for the evaluation of text line segmentation and text parameter extraction.

    Science.gov (United States)

    Brodić, Darko; Milivojević, Dragan R; Milivojević, Zoran

    2010-01-01

    Text line segmentation is an essential stage in off-line optical character recognition (OCR) systems. It is a key because inaccurately segmented text lines will lead to OCR failure. Text line segmentation of handwritten documents is a complex and diverse problem, complicated by the nature of handwriting. Hence, text line segmentation is a leading challenge in handwritten document image processing. Due to inconsistencies in measurement and evaluation of text segmentation algorithm quality, some basic set of measurement methods is required. Currently, there is no commonly accepted one and all algorithm evaluation is custom oriented. In this paper, a basic test framework for the evaluation of text feature extraction algorithms is proposed. This test framework consists of a few experiments primarily linked to text line segmentation, skew rate and reference text line evaluation. Although they are mutually independent, the results obtained are strongly cross linked. In the end, its suitability for different types of letters and languages as well as its adaptability are its main advantages. Thus, the paper presents an efficient evaluation method for text analysis algorithms.

  18. MODALITY OF SCIENTIFIC (MEDICAL TEXT (AS BASED ON THE OTORHINOLARYNGOLOGICAL TEXTS

    Directory of Open Access Journals (Sweden)

    Ekaterina Dmitrievna Axenova

    2016-12-01

    Full Text Available This article presents the author’s view on the category of modality in the scientific (medical text. The systematic presentation of modality expression means in the aspect of pragmatics of the text is in the center of attention. Utilization of methods of scientific description, observation and statistic analysis allows to receive reliable information about the degree of distribution and of the semantics of modal means in the scientific (medical text. The working results are important in the pedagogical practice: the education of foreign students-doctors in the language of specialization.

  19. Discovering gene annotations in biomedical text databases

    Directory of Open Access Journals (Sweden)

    Ozsoyoglu Gultekin

    2008-03-01

    Full Text Available Abstract Background Genes and gene products are frequently annotated with Gene Ontology concepts based on the evidence provided in genomics articles. Manually locating and curating information about a genomic entity from the biomedical literature requires vast amounts of human effort. Hence, there is clearly a need forautomated computational tools to annotate the genes and gene products with Gene Ontology concepts by computationally capturing the related knowledge embedded in textual data. Results In this article, we present an automated genomic entity annotation system, GEANN, which extracts information about the characteristics of genes and gene products in article abstracts from PubMed, and translates the discoveredknowledge into Gene Ontology (GO concepts, a widely-used standardized vocabulary of genomic traits. GEANN utilizes textual "extraction patterns", and a semantic matching framework to locate phrases matching to a pattern and produce Gene Ontology annotations for genes and gene products. In our experiments, GEANN has reached to the precision level of 78% at therecall level of 61%. On a select set of Gene Ontology concepts, GEANN either outperforms or is comparable to two other automated annotation studies. Use of WordNet for semantic pattern matching improves the precision and recall by 24% and 15%, respectively, and the improvement due to semantic pattern matching becomes more apparent as the Gene Ontology terms become more general. Conclusion GEANN is useful for two distinct purposes: (i automating the annotation of genomic entities with Gene Ontology concepts, and (ii providing existing annotations with additional "evidence articles" from the literature. The use of textual extraction patterns that are constructed based on the existing annotations achieve high precision. The semantic pattern matching framework provides a more flexible pattern matching scheme with respect to "exactmatching" with the advantage of locating approximate

  20. What can measures of text comprehension tell us about creative text production?

    NARCIS (Netherlands)

    Bos, Lisanne T.; de Koning, Bjorn; van Wesel, F.; Boonstra, Marije; van der Schoot, Menno

    2015-01-01

    Evidence is accumulating that the level of text comprehension is dependent on the situatedness and sensory richness of a child's mental representation formed during reading. This study investigated whether these factors involved in text comprehension also serve a functional role in writing a

  1. What can measures of text comprehension tell us about creative text production?

    NARCIS (Netherlands)

    Bos, L.T.; de Koning, B.B.; van Wesel, F.; Boonstra, A. M.; van der Schoot, M.

    2015-01-01

    Evidence is accumulating that the level of text comprehension is dependent on the situatedness and sensory richness of a child’s mental representation formed during reading. This study investigated whether these factors involved in text comprehension also serve a functional role in writing a

  2. The loyalty of the literary reviser: Author, source text, target text or ...

    African Journals Online (AJOL)

    The processes of revision and translation, according to Mossop (2010:112-113), can address the problem of conflicting interests, goals and needs by taking different approaches. Translation, he suggests, should seek to achieve a balance between loyalty to the source text author and to the target text readers, whereas ...

  3. Comparative Effects of Computer-Based Concept Maps, Refutational Texts, and Expository Texts on Science Learning

    Science.gov (United States)

    Adesope, Olusola O.; Cavagnetto, Andy; Hunsu, Nathaniel J.; Anguiano, Carlos; Lloyd, Joshua

    2017-01-01

    This study used a between-subjects experimental design to examine the effects of three different computer-based instructional strategies (concept map, refutation text, and expository scientific text) on science learning. Concept maps are node-link diagrams that show concepts as nodes and relationships among the concepts as labeled links.…

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

    DEFF Research Database (Denmark)

    Ling, Richard; Baron, Naomi; Lenhart, Amanda

    2014-01-01

    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...... teens engage in their sense of gender...

  5. What Can Measures of Text Comprehension Tell Us about Creative Text Production?

    Science.gov (United States)

    Bos, Lisanne T.; de Koning, Björn B.; van Wesel, Floryt; Boonstra, A. Marije; van der Schoot, Menno

    2015-01-01

    Evidence is accumulating that the level of text comprehension is dependent on the situatedness and sensory richness of a child's mental representation formed during reading. This study investigated whether these factors involved in text comprehension also serve a functional role in writing a narrative. Direct influences of situatedness and sensory…

  6. The Link between Text Difficulty, Reading Speed and Exploration of Printed Text during Shared Book Reading

    Science.gov (United States)

    Roy-Charland, Annie; Perron, Melanie; Turgeon, Krystle-Lee; Hoffman, Nichola; Chamberland, Justin A.

    2016-01-01

    In the current study the reading speed of the narration and the difficulty of the text was manipulated and links were explored with children's attention to the printed text in shared book reading. Thirty-nine children (24 grade 1 and 15 grade 2) were presented easy and difficult books at slow (syllable by syllable) or fast (adult reading speed)…

  7. Understanding the Role of Text Length, Sample Size and Vocabulary Size in Determining Text Coverage

    Science.gov (United States)

    Chujo, Kiyomi; Utiyama, Masao

    2005-01-01

    Although the use of "text coverage" to measure the intelligibility of reading materials is increasing in the field of vocabulary teaching and learning, to date there have been few studies which address the methodological variables that can affect reliable text coverage calculations. The objective of this paper is to investigate how differing…

  8. Picture or Text First? Explaining Sequence Effects When Learning with Pictures and Text

    Science.gov (United States)

    Eitel, Alexander; Scheiter, Katharina

    2015-01-01

    The present article reviews 42 studies investigating the role of sequencing of text and pictures for learning outcomes. Whereas several of the reviewed studies revealed better learning outcomes from presenting the picture before the text rather than after it, other studies demonstrated the opposite effect. Against the backdrop of theories on…

  9. Augmenting Oracle Text with the UMLS for enhanced searching of free-text medical reports.

    Science.gov (United States)

    Ding, Jing; Erdal, Selnur; Dhaval, Rakesh; Kamal, Jyoti

    2007-10-11

    The intrinsic complexity of free-text medical reports imposes great challenges for information retrieval systems. We have developed a prototype search engine for retrieving clinical reports that leverages the powerful indexing and querying capabilities of Oracle Text, and the rich biomedical domain knowledge and semantic structures that are captured in the UMLS Metathesaurus.

  10. De l'exercice ecrit au texte litteraire (From Written Exercises to Literary Texts).

    Science.gov (United States)

    Chapotot, Franck

    1981-01-01

    Proposes a novel approach to the teaching of writing for advanced language classes. This approach leads students working in pairs through various exercises that enable them to produce a text with given style characteristics. Students' texts are then discussed in class and finally compared with suitable literary models. (MES)

  11. USE OF LITERARY TEXTS IN FRENCH LANGUAGE TEACHING / UTILISATION DES TEXTES LITTERAIRES DANS ENSEIGNEMENT DE FLE

    Directory of Open Access Journals (Sweden)

    Hasan ATMACA

    2016-08-01

    Full Text Available The emergence and the development of foreign language learning-teaching have clearly a deep history. From past to present, all the politic, economic, social and cultural events played an important role in the process of foreign language teaching. During this process, several new methods have been emerged and they have been used in foreign languae teaching. The teaching of a foreign language had a different goal in each period of methods. To reach this goal, each method has used different type of documents. One of these documents is the literary text. When observed tehese methods, we see that most of the methods used literary texts in french language teaching. The use of litearay texts in foreign language teaching is a concequence of the new tendencies in the field of language teaching. In this study, we talked about the place of literary texts in the methods of FFL and examined their function and purpose in the methods. Then we tried to analyze the use of literary texts in language class. As a result it is possible to say that the literay text has an important place as a teaching material in foreign language teaching.

  12. Une approche des textes scientifiques: le "par-coeur" (An Approach to Scientific Texts: "By Heart").

    Science.gov (United States)

    Descamps, Jean-Luc

    1980-01-01

    A method is provided for teaching reading comprehension of scientific or technical texts in a foreign language. The method involves analyzing language patterns and using some memorization for terminology. (MSE)

  13. Literacy practices, texts, and talk around texts: english language teaching developments in colombia

    Directory of Open Access Journals (Sweden)

    Silvia Valencia Giraldo

    2011-04-01

    Full Text Available This paper seeks to provide a window into the complexity of classroom interaction in English language classes in public secondary schools in Colombia. It will show the relationship between what goes on in public schools and classrooms, the wider policy context, and recent reforms. Through a detailed analysis of data collected in two schools and the interaction that takes place between the two teachers and their students around and about texts, this artcicle provides insights into the specific nature of the literacy practices, the texts used, and the particular ways in which the teachers and learners made sense of these texts. It examines how the students are learning to read in English in these classes, and what the teachers understand by ‘doing reading’ and ‘reading comprehension’.

  14. : Developing an automatic text cartographer tool for assisting dyslexic learners with text comprehension

    OpenAIRE

    Laurent, Mario; Chanier, Thierry

    2013-01-01

    People with language impairement, lixe dyslexia, are in important trouble to read and to write. This trouble persist when they use a computer environment such as a word processor. They need some adapted tools. In this purpose, we are developing the LICI, a tool to generate automatically a map, conceptual or heuristic, from a text. This will facilitate text understanding in a short time and will greatly help dyslexics during school activities or learning tasks.; Les personnes atteintes de trou...

  15. Texting while driving: psychosocial influences on young people's texting intentions and behaviour.

    Science.gov (United States)

    Nemme, Heidi E; White, Katherine M

    2010-07-01

    Despite the dangers and illegality, there is a continued prevalence of texting while driving amongst young Australian drivers. The present study tested an extended theory of planned behaviour (TPB) to predict young drivers' (17-24 years) intentions to [1] send and [2] read text messages while driving. Participants (n=169 university students) completed measures of attitudes, subjective norm, perceived behavioural control, intentions, and the additional social influence measures of group norm and moral norm. One week later, participants reported on the number of texts sent and read while driving in the previous week. Attitude predicted intentions to both send and read texts while driving, and subjective norm and perceived behavioural control determined sending, but not reading, intentions. Further, intention, but not perceptions of control, predicted both texting behaviours 1 week later. In addition, both group norm and moral norm added predictive ability to the model. These findings provide support for the TPB in understanding students' decisions to text while driving as well as the inclusion of additional normative influences within this context, suggesting that a multi-strategy approach is likely to be useful in attempts to reduce the incidence of these risky driving behaviours. Copyright 2010 Elsevier Ltd. All rights reserved.

  16. Text4Peds: Feasibility of an Educational Text-Messaging Program for Pediatrics Residents

    Science.gov (United States)

    Adamson, Gregory T.; Draper, Lauren R.; Broom, Matthew A.

    2014-01-01

    Background There is an ongoing effort to maximize educational material provided to residents who are in a time-constrained work environment. Mobile technology, principally smartphone applications and online modules, has shown educational promise. Intervention We developed a text-messaging program, Text4Peds, to assist residents with preparation for their pediatric board examinations. Goals were to assess (1) the feasibility of texting educational messages to residents, and (2) resident satisfaction and perceived usefulness of a texting program. Methods We conducted a prospective study of pediatrics and combined internal medicine-pediatrics residents. Messages derived from the most missed pediatric in-training examination questions were sent daily to residents. After 3 months, residents completed surveys that gauged their perception on the educational value of the text messages and the effect on their pediatric board preparation. Feasibility of the system was assessed as a total percentage of messages successfully received by residents. Results Of 55 residents, 35 (64%) participated in the program. Of 2534 messages sent out to participants, 2437 (96.2%) were delivered successfully. Positive comments cited the texting of board facts as a quick, helpful, daily study tool. Residents liked that messages were sent at 2:00 pm, and most felt that 1 to 5 messages per week was appropriate. Drawbacks included character restrictions of messages, content limitations, and the lack of a question-answer format. Conclusions An educational text message–based program was successfully implemented in our residency program. Messages were delivered with a high success rate, and residents found educational value in the messages. PMID:26140130

  17. Connected Text Reading and Differences in Text Reading Fluency in Adult Readers

    Science.gov (United States)

    Wallot, Sebastian; Hollis, Geoff; van Rooij, Marieke

    2013-01-01

    The process of connected text reading has received very little attention in contemporary cognitive psychology. This lack of attention is in parts due to a research tradition that emphasizes the role of basic lexical constituents, which can be studied in isolated words or sentences. However, this lack of attention is in parts also due to the lack of statistical analysis techniques, which accommodate interdependent time series. In this study, we investigate text reading performance with traditional and nonlinear analysis techniques and show how outcomes from multiple analyses can used to create a more detailed picture of the process of text reading. Specifically, we investigate reading performance of groups of literate adult readers that differ in reading fluency during a self-paced text reading task. Our results indicate that classical metrics of reading (such as word frequency) do not capture text reading very well, and that classical measures of reading fluency (such as average reading time) distinguish relatively poorly between participant groups. Nonlinear analyses of distribution tails and reading time fluctuations provide more fine-grained information about the reading process and reading fluency. PMID:23977177

  18. Repetition priming in oral text reading: a therapeutic strategy for phonologic text alexia.

    Science.gov (United States)

    Lott, Susan Nitzberg; Sperling, Anne J; Watson, Nora L; Friedman, Rhonda B

    2009-06-01

    BACKGROUND: Phonologic text alexia (PhTA) is a reading disorder in which reading of pseudowords is impaired, but reading of real words is impaired only when reading text. Oral reading accuracy remains well preserved when words are presented individually, but when presented in text the part-of-speech effect that is often seen in phonologic alexia (PhA) emerges. AIMS: To determine whether repetition priming could strengthen and/or maintain the activation of words during text reading. METHODS #ENTITYSTARTX00026; PROCEDURES: We trained NYR, a patient with PhTA, to use a strategy, Sentence Building, designed to improve accuracy of reading words in text. The strategy required NYR to first read the initial word, and then build up the sentence by adding on sequential words, in a step-wise manner, utilizing the benefits of repetition priming to enhance accuracy. OUTCOMES #ENTITYSTARTX00026; RESULTS: When using the strategy, NYR displayed improved accuracy not only for sentences she practiced using the strategy, but unpracticed sentences as well. Additionally, NYR performed better on a test of comprehension when using the strategy, as compared to without the strategy. CONCLUSIONS: In light of research linking repetition priming to increased neural processing efficiency, our results suggest that use of this compensatory strategy improves reading accuracy and comprehension by temporarily boosting phonologic activation levels.

  19. 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.

  20. Practical text mining and statistical analysis for non-structured text data applications

    CERN Document Server

    Miner, Gary; Hill, Thomas; Nisbet, Robert; Delen, Dursun

    2012-01-01

    The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase d

  1. 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

  2. Suppression and azimuthal anisotropy of prompt and nonprompt [Formula: see text] production in PbPb collisions at [Formula: see text][Formula: see text].

    Science.gov (United States)

    Khachatryan, V; Sirunyan, A M; Tumasyan, A; Adam, W; Asilar, E; Bergauer, T; Brandstetter, J; Brondolin, E; Dragicevic, M; Erö, J; Flechl, M; Friedl, M; Frühwirth, R; Ghete, V M; Hartl, C; Hörmann, N; Hrubec, J; Jeitler, M; König, A; Krätschmer, I; Liko, D; Matsushita, T; Mikulec, I; Rabady, D; Rad, N; Rahbaran, B; Rohringer, H; Schieck, J; Strauss, J; Waltenberger, W; Wulz, C-E; Dvornikov, O; Makarenko, V; Zykunov, V; Mossolov, V; Shumeiko, N; Suarez Gonzalez, J; Alderweireldt, S; De Wolf, E A; Janssen, X; Lauwers, J; Van De Klundert, M; Van Haevermaet, H; Van Mechelen, P; Van Remortel, N; Van Spilbeeck, A; Abu Zeid, S; Blekman, F; D'Hondt, J; Daci, N; De Bruyn, I; Deroover, K; Lowette, S; Moortgat, S; Moreels, L; Olbrechts, A; Python, Q; Tavernier, S; Van Doninck, W; Van Mulders, P; Van Parijs, I; Brun, H; Clerbaux, B; De Lentdecker, G; Delannoy, H; Fasanella, G; Favart, L; Goldouzian, R; Grebenyuk, A; Karapostoli, G; Lenzi, T; Léonard, A; Luetic, J; Maerschalk, T; Marinov, A; Randle-Conde, A; Seva, T; Vander Velde, C; Vanlaer, P; Vannerom, D; Yonamine, R; Zenoni, F; Zhang, F; Cimmino, A; Cornelis, T; Dobur, D; Fagot, A; Garcia, G; Gul, M; Khvastunov, I; Poyraz, D; Salva, S; Schöfbeck, R; Sharma, A; Tytgat, M; Van Driessche, W; Yazgan, E; Zaganidis, N; Bakhshiansohi, H; Beluffi, C; Bondu, O; Brochet, S; Bruno, G; Caudron, A; De Visscher, S; Delaere, C; Delcourt, M; Francois, B; Giammanco, A; Jafari, A; Jez, P; Komm, M; Krintiras, G; Lemaitre, V; Magitteri, A; Mertens, A; Musich, M; Nuttens, C; Piotrzkowski, K; Quertenmont, L; Selvaggi, M; Vidal Marono, M; Wertz, S; Beliy, N; Aldá Júnior, W L; Alves, F L; Alves, G A; Brito, L; Hensel, C; Moraes, A; Pol, M E; Rebello Teles, P; Chagas, E Belchior Batista Das; Carvalho, W; Chinellato, J; Custódio, A; Da Costa, E M; Da Silveira, G G; De Jesus Damiao, D; De Oliveira Martins, C; De Souza, S Fonseca; Guativa, L M Huertas; Malbouisson, H; Matos Figueiredo, D; Mora Herrera, C; Mundim, L; Nogima, H; Prado Da Silva, W L; Santoro, A; Sznajder, A; Tonelli Manganote, E J; Vilela Pereira, A; Ahuja, S; Bernardes, C A; Dogra, S; Fernandez Perez Tomei, T R; Gregores, E M; Mercadante, P G; Moon, C S; Novaes, S F; Padula, Sandra S; Romero Abad, D; Ruiz Vargas, J C; Aleksandrov, A; Hadjiiska, R; Iaydjiev, P; Rodozov, M; Stoykova, S; Sultanov, G; Vutova, M; Dimitrov, A; Glushkov, I; Litov, L; Pavlov, B; Petkov, P; Fang, W; Ahmad, M; Bian, J G; Chen, G M; Chen, H S; Chen, M; Chen, Y; Cheng, T; Jiang, C H; Leggat, D; Liu, Z; Romeo, F; Shaheen, S M; Spiezia, A; Tao, J; Wang, C; Wang, Z; Zhang, H; Zhao, J; Ban, Y; Chen, G; Li, Q; Liu, S; Mao, Y; Qian, S J; Wang, D; Xu, Z; Avila, C; Cabrera, A; Chaparro Sierra, L F; Florez, C; Gomez, J P; González Hernández, C F; Ruiz Alvarez, J D; Sanabria, J C; Godinovic, N; Lelas, D; Puljak, I; Ribeiro Cipriano, P M; Sculac, T; Antunovic, Z; Kovac, M; Brigljevic, V; Ferencek, D; Kadija, K; Micanovic, S; Sudic, L; Susa, T; Attikis, A; Mavromanolakis, G; Mousa, J; Nicolaou, C; Ptochos, F; Razis, P A; Rykaczewski, H; Tsiakkouri, D; Finger, M; Finger, M; Jarrin, E Carrera; Kamel, A Ellithi; Mahmoud, M A; Radi, A; Kadastik, M; Perrini, L; Raidal, M; Tiko, A; Veelken, C; Eerola, P; Pekkanen, J; Voutilainen, M; Härkönen, J; Järvinen, T; Karimäki, V; Kinnunen, R; Lampén, T; Lassila-Perini, K; Lehti, S; Lindén, T; Luukka, P; Tuominiemi, J; Tuovinen, E; Wendland, L; Talvitie, J; Tuuva, T; Besancon, M; Couderc, F; Dejardin, M; Denegri, D; Fabbro, B; Faure, J L; Favaro, C; Ferri, F; Ganjour, S; Ghosh, S; Givernaud, A; Gras, P; Hamel de Monchenault, G; Jarry, P; Kucher, I; Locci, E; Machet, M; Malcles, J; Rander, J; Rosowsky, A; Titov, M; Zghiche, A; Abdulsalam, A; Antropov, I; Baffioni, S; Beaudette, F; Busson, P; Cadamuro, L; Chapon, E; Charlot, C; Davignon, O; Granier de Cassagnac, R; Jo, M; Lisniak, S; Miné, P; Nguyen, M; Ochando, C; Ortona, G; Paganini, P; Pigard, P; Regnard, S; Salerno, R; Sirois, Y; Strebler, T; Yilmaz, Y; Zabi, A; Agram, J-L; Andrea, J; Aubin, A; Bloch, D; Brom, J-M; Buttignol, M; Chabert, E C; Chanon, N; Collard, C; Conte, E; Coubez, X; Fontaine, J-C; Gelé, D; Goerlach, U; Le Bihan, A-C; Skovpen, K; Van Hove, P; Gadrat, S; Beauceron, S; Bernet, C; Boudoul, G; Bouvier, E; Carrillo Montoya, C A; Chierici, R; Contardo, D; Courbon, B; Depasse, P; El Mamouni, H; Fan, J; Fay, J; Gascon, S; Gouzevitch, M; Grenier, G; Ille, B; Lagarde, F; Laktineh, I B; Lethuillier, M; Mirabito, L; Pequegnot, A L; Perries, S; Popov, A; Sabes, D; Sordini, V; Vander Donckt, M; Verdier, P; Viret, S; Toriashvili, T; Lomidze, D; Autermann, C; Beranek, S; Feld, L; Heister, A; Kiesel, M K; Klein, K; Lipinski, M; Ostapchuk, A; Preuten, M; Raupach, F; Schael, S; Schomakers, C; Schulz, J; Verlage, T; Weber, H; Zhukov, V; Albert, A; Brodski, M; Dietz-Laursonn, E; Duchardt, D; Endres, M; Erdmann, M; Erdweg, S; Esch, T; Fischer, R; Güth, A; Hamer, M; Hebbeker, T; Heidemann, C; Hoepfner, K; Knutzen, S; Merschmeyer, M; Meyer, A; Millet, P; Mukherjee, S; Olschewski, M; Padeken, K; Pook, T; Radziej, M; Reithler, H; Rieger, M; Scheuch, F; Sonnenschein, L; Teyssier, D; Thüer, S; Cherepanov, V; Flügge, G; Kargoll, B; Kress, T; Künsken, A; Lingemann, J; Müller, T; Nehrkorn, A; Nowack, A; Pistone, C; Pooth, O; Stahl, A; Aldaya Martin, M; Arndt, T; Asawatangtrakuldee, C; Beernaert, K; Behnke, O; Behrens, U; Bin Anuar, A A; Borras, K; Campbell, A; Connor, P; Contreras-Campana, C; Costanza, F; Diez Pardos, C; Dolinska, G; Eckerlin, G; Eckstein, D; Eichhorn, T; Eren, E; Gallo, E; Garay Garcia, J; Geiser, A; Gizhko, A; Grados Luyando, J M; Gunnellini, P; Harb, A; Hauk, J; Hempel, M; Jung, H; Kalogeropoulos, A; Karacheban, O; Kasemann, M; Keaveney, J; Kleinwort, C; Korol, I; Krücker, D; Lange, W; Lelek, A; Leonard, J; Lipka, K; Lobanov, A; Lohmann, W; Mankel, R; Melzer-Pellmann, I-A; Meyer, A B; Mittag, G; Mnich, J; Mussgiller, A; Ntomari, E; Pitzl, D; Placakyte, R; Raspereza, A; Roland, B; Sahin, M Ö; Saxena, P; Schoerner-Sadenius, T; Seitz, C; Spannagel, S; Stefaniuk, N; Van Onsem, G P; Walsh, R; Wissing, C; 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Maeshima, K; Magini, N; Marraffino, J M; Maruyama, S; Mason, D; McBride, P; Merkel, P; Mrenna, S; Nahn, S; Newman-Holmes, C; O'Dell, V; Pedro, K; Prokofyev, O; Rakness, G; Ristori, L; Sexton-Kennedy, E; Soha, A; Spalding, W J; Spiegel, L; Stoynev, S; Strobbe, N; Taylor, L; Tkaczyk, S; Tran, N V; Uplegger, L; Vaandering, E W; Vernieri, C; Verzocchi, M; Vidal, R; Wang, M; Weber, H A; Whitbeck, A; Wu, Y; Acosta, D; Avery, P; Bortignon, P; Bourilkov, D; Brinkerhoff, A; Carnes, A; Carver, M; Curry, D; Das, S; Field, R D; Furic, I K; Konigsberg, J; Korytov, A; Low, J F; Ma, P; Matchev, K; Mei, H; Mitselmakher, G; Rank, D; Shchutska, L; Sperka, D; Thomas, L; Wang, J; Wang, S; Yelton, J; Linn, S; Markowitz, P; Martinez, G; Rodriguez, J L; Ackert, A; Adams, J R; Adams, T; Askew, A; Bein, S; Diamond, B; Hagopian, S; Hagopian, V; Johnson, K F; Khatiwada, A; Prosper, H; Santra, A; Yohay, R; Baarmand, M M; Bhopatkar, V; Colafranceschi, S; Hohlmann, M; Noonan, D; Roy, T; Yumiceva, F; Adams, M R; Apanasevich, L; Berry, D; Betts, R R; Bucinskaite, I; Cavanaugh, R; Evdokimov, O; Gauthier, L; Gerber, C E; Hofman, D J; Jung, K; Kurt, P; O'Brien, C; Sandoval Gonzalez, I D; Turner, P; Varelas, N; Wang, H; Wu, Z; Zakaria, M; Zhang, J; Bilki, B; Clarida, W; Dilsiz, K; Durgut, S; Gandrajula, R P; Haytmyradov, M; Khristenko, V; Merlo, J-P; Mermerkaya, H; Mestvirishvili, A; Moeller, A; Nachtman, J; Ogul, H; Onel, Y; Ozok, F; Penzo, A; Snyder, C; Tiras, E; Wetzel, J; Yi, K; Anderson, I; Blumenfeld, B; Cocoros, A; Eminizer, N; Fehling, D; Feng, L; Gritsan, A V; Maksimovic, P; Martin, C; Osherson, M; Roskes, J; Sarica, U; Swartz, M; Xiao, M; Xin, Y; You, C; Al-Bataineh, A; Baringer, P; Bean, A; Boren, S; Bowen, J; Bruner, C; Castle, J; Forthomme, L; Kenny, R P; Khalil, S; Kropivnitskaya, A; Majumder, D; Mcbrayer, W; Murray, M; Sanders, S; Stringer, R; Tapia Takaki, J D; Wang, Q; Ivanov, A; Kaadze, K; Maravin, Y; Mohammadi, A; Saini, L K; Skhirtladze, N; Toda, S; Rebassoo, F; Wright, D; Anelli, C; Baden, A; Baron, O; Belloni, A; Calvert, B; Eno, S C; Ferraioli, C; Gomez, J A; Hadley, N J; Jabeen, S; Kellogg, R G; Kolberg, T; Kunkle, J; Lu, Y; Mignerey, A C; Ricci-Tam, F; Shin, Y H; Skuja, A; Tonjes, M B; Tonwar, S C; Abercrombie, D; Allen, B; Apyan, A; Barbieri, R; Baty, A; Bi, R; Bierwagen, K; Brandt, S; Busza, W; Cali, I A; Demiragli, Z; Di Matteo, L; Gomez Ceballos, G; Goncharov, M; Hsu, D; Iiyama, Y; Innocenti, G M; Klute, M; Kovalskyi, D; Krajczar, K; Lai, Y S; Lee, Y-J; Levin, A; Luckey, P D; Maier, B; Marini, A C; Mcginn, C; Mironov, C; Narayanan, S; Niu, X; Paus, C; Roland, C; Roland, G; Salfeld-Nebgen, J; Stephans, G S F; Sumorok, K; Tatar, K; Varma, M; Velicanu, D; Veverka, J; Wang, J; Wang, T W; Wyslouch, B; Yang, M; Zhukova, V; Benvenuti, A C; Chatterjee, R M; Evans, A; Finkel, A; Gude, A; Hansen, P; Kalafut, S; Kao, S C; Kubota, Y; Lesko, Z; Mans, J; Nourbakhsh, S; Ruckstuhl, N; Rusack, R; Tambe, N; Turkewitz, J; Acosta, J G; Oliveros, S; Avdeeva, E; Bartek, R; Bloom, K; Claes, D R; Dominguez, A; Fangmeier, C; Gonzalez Suarez, R; Kamalieddin, R; Kravchenko, I; Malta Rodrigues, A; Meier, F; Monroy, J; Siado, J E; Snow, G R; Stieger, B; Alyari, M; Dolen, J; George, J; Godshalk, A; Harrington, C; Iashvili, I; Kaisen, J; Kharchilava, A; Kumar, A; Parker, A; Rappoccio, S; Roozbahani, B; Alverson, G; Barberis, E; Hortiangtham, A; Massironi, A; Morse, D M; Nash, D; Orimoto, T; Teixeira De Lima, R; Trocino, D; Wang, R-J; Wood, D; Bhattacharya, S; Charaf, O; Hahn, K A; Kubik, A; Kumar, A; Mucia, N; Odell, N; Pollack, B; Schmitt, M H; Sung, K; Trovato, M; Velasco, M; Dev, N; Hildreth, M; Hurtado Anampa, K; Jessop, C; Karmgard, D J; Kellams, N; Lannon, K; Marinelli, N; Meng, F; Mueller, C; Musienko, Y; Planer, M; Reinsvold, A; Ruchti, R; Smith, G; Taroni, S; Wayne, M; Wolf, M; Woodard, A; Alimena, J; Antonelli, L; Bylsma, B; Durkin, L S; Flowers, S; Francis, B; Hart, A; Hill, C; Hughes, R; Ji, W; Liu, B; Luo, W; Puigh, D; Winer, B L; Wulsin, H W; Cooperstein, S; Driga, O; Elmer, P; Hardenbrook, J; Hebda, P; Lange, D; Luo, J; Marlow, D; Mc Donald, J; Medvedeva, T; Mei, K; Mooney, M; Olsen, J; Palmer, C; Piroué, P; Stickland, D; Svyatkovskiy, A; Tully, C; Zuranski, A; Malik, S; Barker, A; Barnes, V E; Folgueras, S; Gutay, L; Jha, M K; Jones, M; Jung, A W; Miller, D H; Neumeister, N; Schulte, J F; Shi, X; Sun, J; Wang, F; Xie, W; Parashar, N; Stupak, J; Adair, A; Akgun, B; Chen, Z; Ecklund, K M; Geurts, F J M; Guilbaud, M; Li, W; Michlin, B; Northup, M; Padley, B P; Redjimi, R; Roberts, J; Rorie, J; Tu, Z; Zabel, J; Betchart, B; Bodek, A; de Barbaro, P; Demina, R; Duh, Y T; Ferbel, T; Galanti, M; Garcia-Bellido, A; Han, J; Hindrichs, O; Khukhunaishvili, A; Lo, K H; Tan, P; Verzetti, M; Agapitos, A; Chou, J P; Contreras-Campana, E; Gershtein, Y; Gómez Espinosa, T A; Halkiadakis, E; Heindl, M; Hidas, D; Hughes, E; Kaplan, S; Kunnawalkam Elayavalli, R; Kyriacou, S; Lath, A; Nash, K; Saka, H; Salur, S; Schnetzer, S; Sheffield, D; Somalwar, S; Stone, R; Thomas, S; Thomassen, P; Walker, M; Delannoy, A G; Foerster, M; Heideman, J; Riley, G; Rose, K; Spanier, S; Thapa, K; Bouhali, O; Celik, A; Dalchenko, M; De Mattia, M; Delgado, A; Dildick, S; Eusebi, R; Gilmore, J; Huang, T; Juska, E; Kamon, T; Mueller, R; Pakhotin, Y; Patel, R; Perloff, A; Perniè, L; Rathjens, D; Rose, A; Safonov, A; Tatarinov, A; Ulmer, K A; Akchurin, N; Cowden, C; Damgov, J; De Guio, F; Dragoiu, C; Dudero, P R; Faulkner, J; Gurpinar, E; Kunori, S; Lamichhane, K; Lee, S W; Libeiro, T; Peltola, T; Undleeb, S; Volobouev, I; Wang, Z; Greene, S; Gurrola, A; Janjam, R; Johns, W; Maguire, C; Melo, A; Ni, H; Sheldon, P; Tuo, S; Velkovska, J; Xu, Q; Arenton, M W; Barria, P; Cox, B; Goodell, J; Hirosky, R; Ledovskoy, A; Li, H; Neu, C; Sinthuprasith, T; Sun, X; Wang, Y; Wolfe, E; Xia, F; Clarke, C; Harr, R; Karchin, P E; Sturdy, J; Belknap, D A; Buchanan, J; Caillol, C; Dasu, S; Dodd, L; Duric, S; Gomber, B; Grothe, M; Herndon, M; Hervé, A; Klabbers, P; Lanaro, A; Levine, A; Long, K; Loveless, R; Ojalvo, I; Perry, T; Pierro, G A; Polese, G; Ruggles, T; Savin, A; Smith, N; Smith, W H; Taylor, D; Woods, N

    2017-01-01

    The nuclear modification factor [Formula: see text] and the azimuthal anisotropy coefficient [Formula: see text] of prompt and nonprompt (i.e. those from decays of b hadrons) [Formula: see text] mesons, measured from PbPb and pp collisions at [Formula: see text] [Formula: see text] at the LHC, are reported. The results are presented in several event centrality intervals and several kinematic regions, for transverse momenta [Formula: see text] [Formula: see text] and rapidity [Formula: see text], extending down to [Formula: see text] [Formula: see text] in the [Formula: see text] range. The [Formula: see text] of prompt [Formula: see text] is found to be nonzero, but with no strong dependence on centrality, rapidity, or [Formula: see text] over the full kinematic range studied. The measured [Formula: see text] of nonprompt [Formula: see text] is consistent with zero. The [Formula: see text] of prompt [Formula: see text] exhibits a suppression that increases from peripheral to central collisions but does not vary strongly as a function of either y or [Formula: see text] in the fiducial range. The nonprompt [Formula: see text] [Formula: see text] shows a suppression which becomes stronger as rapidity or [Formula: see text] increases. The [Formula: see text] and [Formula: see text] of open and hidden charm, and of open charm and beauty, are compared.

  3. Psychologie des discours et didactique des textes (Psychology of Discourse and the Teaching of Texts).

    Science.gov (United States)

    Bronckart, Jean-Paul, Ed.

    1995-01-01

    This collection of articles on the nature of discourse and writing instruction include: "Une demarche de psychologie de discours; quelques aspects introductifs" ("An Application of Discourse Psychology; Introductory Thoughts") (Jean-Paul Bronckart); "Les procedes de prise en charge enonciative dans trois genres de texts expositifs" ("The Processes…

  4. TextFlow: towards better understanding of evolving topics in text.

    Science.gov (United States)

    Cui, Weiwei; Liu, Shixia; Tan, Li; Shi, Conglei; Song, Yangqiu; Gao, Zekai J; Tong, Xin; Qu, Huamin

    2011-12-01

    Understanding how topics evolve in text data is an important and challenging task. Although much work has been devoted to topic analysis, the study of topic evolution has largely been limited to individual topics. In this paper, we introduce TextFlow, a seamless integration of visualization and topic mining techniques, for analyzing various evolution patterns that emerge from multiple topics. We first extend an existing analysis technique to extract three-level features: the topic evolution trend, the critical event, and the keyword correlation. Then a coherent visualization that consists of three new visual components is designed to convey complex relationships between them. Through interaction, the topic mining model and visualization can communicate with each other to help users refine the analysis result and gain insights into the data progressively. Finally, two case studies are conducted to demonstrate the effectiveness and usefulness of TextFlow in helping users understand the major topic evolution patterns in time-varying text data. © 2011 IEEE

  5. Connected text reading and differences in text reading fluency in adult readers

    NARCIS (Netherlands)

    Wallot, S.; Hollis, G.; Rooij, M. de

    2013-01-01

    The process of connected text reading has received very little attention in contemporary cognitive psychology. This lack of attention is in parts due to a research tradition that emphasizes the role of basic lexical constituents, which can be studied in isolated words or sentences. However, this

  6. Text(ing) in Context: The Future of Workplace Communication in the United States

    Science.gov (United States)

    Kiddie, Thomas J.

    2014-01-01

    Following Rogers's theory of the diffusion of innovations, the author questions whether youth entering the workforce will act as change agents to evolve primary business communication channels from email to text-messaging. Expanding on research performed in 2009, the author investigates three communication scenarios: scheduling meetings,…

  7. Didactique du texte litteraire: Un parcours a etapes (Teaching Literary Text: A Journey in Stages).

    Science.gov (United States)

    Gruca, Isabelle

    1996-01-01

    Outlines a three-stage strategy for teaching appreciation of French literature. The first stage is a global approach to the work, giving an overview of its structure and presentation. The second stage looks at the text type and generic characteristics, and the third focuses on the specific treatment given these characteristics and the details of…

  8. Usages possible d'un texte litteraire (Possible Uses of a Literary Text).

    Science.gov (United States)

    Kirpalani, Marie-Claudette

    1984-01-01

    A French short story is used to illustrate several possible levels of study for a single literary text: linguistic analysis, textual analysis, and analysis of uses of the romantic form. The approach suggested integrates these levels so that each is enriched by the perspectives offered by the others. (MSE)

  9. Does Compare-Contrast Text Structure Help Students with Autism Spectrum Disorder Comprehend Science Text?

    Science.gov (United States)

    Carnahan, Christina R.; Williamson, Pamela S.

    2013-01-01

    Using a single-subject reversal design, this study evaluated the use of a compare-contrast strategy on the ability of students with autism spectrum disorder to comprehend science text. Three middle school students with high-functioning autism and their teacher participated in this study. A content analysis comparing the number of meaning units in…

  10. New challenges for text mining: mapping between text and manually curated pathways

    Science.gov (United States)

    Oda, Kanae; Kim, Jin-Dong; Ohta, Tomoko; Okanohara, Daisuke; Matsuzaki, Takuya; Tateisi, Yuka; Tsujii, Jun'ichi

    2008-01-01

    Background Associating literature with pathways poses new challenges to the Text Mining (TM) community. There are three main challenges to this task: (1) the identification of the mapping position of a specific entity or reaction in a given pathway, (2) the recognition of the causal relationships among multiple reactions, and (3) the formulation and implementation of required inferences based on biological domain knowledge. Results To address these challenges, we constructed new resources to link the text with a model pathway; they are: the GENIA pathway corpus with event annotation and NF-kB pathway. Through their detailed analysis, we address the untapped resource, ‘bio-inference,’ as well as the differences between text and pathway representation. Here, we show the precise comparisons of their representations and the nine classes of ‘bio-inference’ schemes observed in the pathway corpus. Conclusions We believe that the creation of such rich resources and their detailed analysis is the significant first step for accelerating the research of the automatic construction of pathway from text. PMID:18426550

  11. 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

  12. Mobile characters, mobile texts: homelessness and intertextuality in contemporary texts for young people

    Directory of Open Access Journals (Sweden)

    Mavis Reimer

    2013-06-01

    Full Text Available Since the 1990s, narratives about homelessness for and about young people have proliferated around the world. A cluster of thematic elements shared by many of these narratives of the age of globalization points to the deep anxiety that is being expressed about a social, economic, and cultural system under stress or struggling to find a new formation. More surprisingly, many of the narratives also use canonical cultural texts extensively as intertexts. This article considers three novels from three different national traditions to address the work of intertextuality in narratives about homelessness: Skellig by UK author David Almond, which was published in 1998; Chronicler of the Winds by Swedish author Henning Mankell, which was first published in 1988 in Swedish as Comédia Infantil and published in an English translation in 2006; and Stained Glass by Canadian author Michael Bedard, which was published in 2002. Using Julia Kristeva's definition of intertextuality as the “transposition of one (or several sign systems into another,” I propose that all intertexts can be thought of as metaphoric texts, in the precise sense that they carry one text into another. In the narratives under discussion in this article, the idea of homelessness is in perpetual motion between texts and intertexts, ground and figure, the literal and the symbolic. What the child characters and the readers who take up the position offered to implied readers are asked to do, I argue, is to put on a way of seeing that does not settle, a way of being that strains forward toward the new.

  13. Text2Video: text-driven facial animation using MPEG-4

    Science.gov (United States)

    Rurainsky, J.; Eisert, P.

    2005-07-01

    We present a complete system for the automatic creation of talking head video sequences from text messages. Our system converts the text into MPEG-4 Facial Animation Parameters and synthetic voice. A user selected 3D character will perform lip movements synchronized to the speech data. The 3D models created from a single image vary from realistic people to cartoon characters. A voice selection for different languages and gender as well as a pitch shift component enables a personalization of the animation. The animation can be shown on different displays and devices ranging from 3GPP players on mobile phones to real-time 3D render engines. Therefore, our system can be used in mobile communication for the conversion of regular SMS messages to MMS animations.

  14. TEXT MINING: TEXT SIMILARITY MEASURE FOR NEWS ARTICLES BASED ON STRING BASED APPROACH

    OpenAIRE

    R. Kohila*, Dr. K. Arunesh

    2016-01-01

    Now-a-days, the documents similarity measuring plays an important role in text related researches. There are many applications in document similarity measures such as plagiarism detection, document clustering, automatic essay scoring, information retrieval and machine translation. String Based Similarity, Knowledge Based Similarity and Corpus Based Similarity are the three major approaches proposed by the most of the   researchers to solve the problems in document similarity. In thi...

  15. Advanced text authorship detection methods and their application to biblical texts

    Science.gov (United States)

    Putniņš, Tālis; Signoriello, Domenic J.; Jain, Samant; Berryman, Matthew J.; Abbott, Derek

    2005-12-01

    Authorship attribution has a range of applications in a growing number of fields such as forensic evidence, plagiarism detection, email filtering, and web information management. In this study, three attribution techniques are extended, tested on a corpus of English texts, and applied to a book in the New Testament of disputed authorship. The word recurrence interval based method compares standard deviations of the number of words between successive occurrences of a keyword both graphically and with chi-squared tests. The trigram Markov method compares the probabilities of the occurrence of words conditional on the preceding two words to determine the similarity between texts. The third method extracts stylometric measures such as the frequency of occurrence of function words and from these constructs text classification models using multiple discriminant analysis. The effectiveness of these techniques is compared. The accuracy of the results obtained by some of these extended methods is higher than many of the current state of the art approaches. Statistical evidence is presented about the authorship of the selected book from the New Testament.

  16. 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.

  17. 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

  18. Measurement of the jet mass in highly boosted [Formula: see text] events from pp collisions at [Formula: see text][Formula: see text].

    Science.gov (United States)

    Sirunyan, A M; Tumasyan, A; Adam, W; Asilar, E; Bergauer, T; Brandstetter, J; Brondolin, E; Dragicevic, M; Erö, J; Flechl, M; Friedl, M; Frühwirth, R; Ghete, V M; Hartl, C; Hörmann, N; Hrubec, J; Jeitler, M; König, A; Krätschmer, I; Liko, D; Matsushita, T; Mikulec, I; Rabady, D; Rad, N; Rahbaran, B; Rohringer, H; Schieck, J; Strauss, J; Waltenberger, W; Wulz, C-E; Dvornikov, O; Makarenko, V; Mossolov, V; Suarez Gonzalez, J; Zykunov, V; Shumeiko, N; Alderweireldt, S; De Wolf, E A; Janssen, X; Lauwers, J; Van De Klundert, M; Van Haevermaet, H; Van Mechelen, P; Van Remortel, N; Van Spilbeeck, A; Abu Zeid, S; Blekman, F; D'Hondt, J; Daci, N; De Bruyn, I; Deroover, K; Lowette, S; Moortgat, S; Moreels, L; Olbrechts, A; Python, Q; Skovpen, K; Tavernier, S; Van Doninck, W; Van Mulders, P; Van Parijs, I; Brun, H; Clerbaux, B; De Lentdecker, G; Delannoy, H; Fasanella, G; Favart, L; Goldouzian, R; Grebenyuk, A; Karapostoli, G; Lenzi, T; Léonard, A; Luetic, J; Maerschalk, T; Marinov, A; Randle-Conde, A; 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    2017-01-01

    The first measurement of the jet mass [Formula: see text] of top quark jets produced in [Formula: see text] events from pp collisions at [Formula: see text] [Formula: see text] is reported for the jet with the largest transverse momentum [Formula: see text] in highly boosted hadronic top quark decays. The data sample, collected with the CMS detector, corresponds to an integrated luminosity of 19.7[Formula: see text]. The measurement is performed in the lepton+jets channel in which the products of the semileptonic decay [Formula: see text] with [Formula: see text] where [Formula: see text] is an electron or muon, are used to select [Formula: see text] events with large Lorentz boosts. The products of the fully hadronic decay [Formula: see text] with [Formula: see text] are reconstructed using a single Cambridge-Aachen jet with distance parameter [Formula: see text], and [Formula: see text] [Formula: see text]. The [Formula: see text] cross section as a function of [Formula: see text] is unfolded at the particle level and is used to test the modelling of highly boosted top quark production. The peak position of the [Formula: see text] distribution is sensitive to the top quark mass [Formula: see text], and the data are used to extract a value of [Formula: see text] to assess this sensitivity.

  19. Search for [Formula: see text] decays in [Formula: see text] collisions at [Formula: see text] = 8 TeV with the ATLAS detector.

    Science.gov (United States)

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    A search for a massive [Formula: see text] gauge boson decaying to a top quark and a bottom quark is performed with the ATLAS detector in [Formula: see text] collisions at the LHC. The dataset was taken at a centre-of-mass energy of [Formula: see text] and corresponds to [Formula: see text] of integrated luminosity. This analysis is done in the hadronic decay mode of the top quark, where novel jet substructure techniques are used to identify jets from high-momentum top quarks. This allows for a search for high-mass [Formula: see text] bosons in the range 1.5-3.0 [Formula: see text]. [Formula: see text]-tagging is used to identify jets originating from [Formula: see text]-quarks. The data are consistent with Standard Model background-only expectations, and upper limits at 95 % confidence level are set on the [Formula: see text] cross section times branching ratio ranging from [Formula: see text] to [Formula: see text] for left-handed [Formula: see text] bosons, and ranging from [Formula: see text] to [Formula: see text] for [Formula: see text] bosons with purely right-handed couplings. Upper limits at 95 % confidence level are set on the [Formula: see text]-boson coupling to [Formula: see text] as a function of the [Formula: see text] mass using an effective field theory approach, which is independent of details of particular models predicting a [Formula: see text] boson.

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

    Science.gov (United States)

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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.

  1. Speech on the general states of enterprises and the sustainable development; Discours devant les Etats generaux des entreprises et du developpement durable

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2006-07-01

    In this speech the author points out two main recommendations. The first message concerns the necessity of a whole mobilization in favor of the sustainable development, from the government policy and the enterprises management to the human behavior. He presents then three main axis to heighten the enterprises (reinforce the information on the environmental and social impact of the economic activities, the development of sustainable investments, the development of the environmental sponsorship). The second message concerns the necessity to place the environment in the economic growth by the development of the ecology and the eco-technology. (A.L.B.)

  2. Search for triboson [Formula: see text] production in pp collisions at [Formula: see text] [Formula: see text] with the ATLAS detector.

    Science.gov (United States)

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    2017-01-01

    This paper reports a search for triboson [Formula: see text] production in two decay channels ([Formula: see text] and [Formula: see text] with [Formula: see text]) in proton-proton collision data corresponding to an integrated luminosity of 20.3 [Formula: see text] at a centre-of-mass energy of 8 [Formula: see text] with the ATLAS detector at the Large Hadron Collider. Events with exactly three charged leptons, or two leptons with the same electric charge in association with two jets, are selected. The total number of events observed in data is consistent with the Standard Model (SM) predictions. The observed 95% confidence level upper limit on the SM [Formula: see text] production cross section is found to be 730 fb with an expected limit of 560 fb in the absence of SM [Formula: see text] production. Limits are also set on WWWW anomalous quartic gauge couplings.

  3. Estimation of the Handwritten Text Skew Based on Binary Moments

    OpenAIRE

    D. Brodić, Z. Milivojević

    2012-01-01

    Binary moments represent one of the methods for the text skew estimation in binary images. It has been used widely for the skew identification of the printed text. However, the handwritten text consists of text objects, which are characterized with different skews. Hence, the method should be adapted for the handwritten text. This is achieved with the image splitting into separate text objects made by the bounding boxes. Obtained text objects represent the isolated binary objects. The applica...

  4. Building Background Knowledge through Reading: Rethinking Text Sets

    Science.gov (United States)

    Lupo, Sarah M.; Strong, John Z.; Lewis, William; Walpole, Sharon; McKenna, Michael C.

    2018-01-01

    To increase reading volume and help students access challenging texts, the authors propose a four-dimensional framework for text sets. The quad text set framework is designed around a target text: a challenging content area text, such as a canonical literary work, research article, or historical primary source document. The three remaining…

  5. Measurement of quarkonium production at forward rapidity in [Formula: see text] collisions at [Formula: see text]TeV.

    Science.gov (United States)

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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; 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; Kramer, F; Kravčáková, A; Krelina, M; Kretz, M; Krivda, M; Krizek, F; Krus, M; 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; 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; Luo, J; Luparello, G; Luzzi, C; Ma, R; Maevskaya, A; Mager, M; Mahapatra, D P; 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; Mercado Pérez, J; Meres, M; Miake, Y; Mikhaylov, K; Milano, L; Milosevic, J; Mischke, A; Mishra, A N; Miśkowiec, D; Mitu, C M; Mlynarz, J; 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; 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, T K; Nazarenko, S; Nedosekin, A; Nicassio, M; Niculescu, M; Nielsen, B S; Nikolaev, S; Nikulin, S; Nikulin, V; Nilsen, B S; Noferini, F; Nomokonov, P; Nooren, G; Nyanin, A; Nystrand, J; Oeschler, H; Oh, S; Oh, S K; Okatan, A; Olah, L; Oleniacz, J; Oliveira Da Silva, A C; Onderwaater, J; Oppedisano, C; Ortiz Velasquez, A; Oskarsson, A; Otwinowski, J; Oyama, K; Sahoo, P; Pachmayer, Y; Pachr, M; Pagano, P; Paić, G; Painke, F; 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; Pospisil, V; Potukuchi, B; Prasad, S K; Preghenella, R; Prino, F; Pruneau, C A; Pshenichnov, I; Puddu, G; Pujahari, P; Punin, V; Putschke, J; Qvigstad, H; Rachevski, A; Raha, 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; 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; Rosnet, P; Rossegger, S; Rossi, A; Roukoutakis, F; Roy, A; Roy, C; Roy, P; Rubio Montero, A J; Rui, R; Russo, R; Ryabinkin, E; Rybicki, A; Sadovsky, S; Šafařík, K; Sahlmuller, B; Sahoo, R; Sahu, P K; Saini, J; 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; Seo, J; Serradilla, E; Sevcenco, A; Shabetai, A; Shabratova, G; Shahoyan, R; Shangaraev, 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; Smakal, R; Smirnov, N; Snellings, R J M; Søgaard, C; Soltz, R; Song, J; Song, M; Soramel, F; Sorensen, S; Spacek, M; 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; Susa, T; Symons, T J M; 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; Tauro, A; Tejeda Muñoz, G; Telesca, A; Terrevoli, C; Thäder, J; Thomas, D; Tieulent, R; Timmins, A R; Toia, A; Torii, H; Trubnikov, V; Trzaska, W H; Tsuji, T; Tumkin, A; Turrisi, R; Tveter, T S; Ulery, J; Ullaland, K; Uras, A; Usai, G L; Vajzer, M; Vala, M; Valencia Palomo, L; Vallero, S; Vande Vyvre, P; Vannucci, L; Van Hoorne, J W; van Leeuwen, M; Vargas, A; 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; 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; Wessels, J P; Westerhoff, U; Wiechula, J; Wikne, J; Wilde, M; Wilk, G; Wilkinson, J; Williams, M C S; Windelband, B; Winn, M; Xiang, C; 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; Zhu, H; Zhu, J; Zhu, X; Zichichi, A; Zimmermann, A; Zimmermann, M B; Zinovjev, G; Zoccarato, Y; Zynovyev, M; Zyzak, M

    The inclusive production cross sections at forward rapidity of [Formula: see text], [Formula: see text], [Formula: see text](1S) and [Formula: see text](2S) are measured in [Formula: see text] collisions at [Formula: see text] with the ALICE detector at the LHC. The analysis is based on a data sample corresponding to an integrated luminosity of 1.35 pb[Formula: see text]. Quarkonia are reconstructed in the dimuon-decay channel and the signal yields are evaluated by fitting the [Formula: see text] invariant mass distributions. The differential production cross sections are measured as a function of the transverse momentum [Formula: see text] and rapidity [Formula: see text], over the ranges [Formula: see text] GeV/c for [Formula: see text], [Formula: see text] GeV/c for all other resonances and for [Formula: see text]. The measured cross sections integrated over [Formula: see text] and [Formula: see text], and assuming unpolarized quarkonia, are: [Formula: see text] [Formula: see text]b, [Formula: see text] [Formula: see text]b, [Formula: see text] nb and [Formula: see text] nb, where the first uncertainty is statistical and the second one is systematic. The results are compared to measurements performed by other LHC experiments and to theoretical models.

  6. Closely Reading Informational Texts in the Primary Grades

    Science.gov (United States)

    Fisher, Douglas; Frey, Nancy

    2014-01-01

    In this article we discuss the differences between close reading in the primary grades and upper elementary grades. We focus on text selection, initial reading. repeated reading, annotation, text-based discussions, and responding to texts.

  7. Regional Geography Texts on Latin America: A Review.

    Science.gov (United States)

    Williams, Lynden S.

    1980-01-01

    Provides an evaluation of regional texts on Latin America by means of analyzing opinions of 45 Latin Americanist geographers. Findings are presented in three categories--highly rated texts, intermediately rated texts, and others. (DB)

  8. Analyzing asset management data using data and text mining.

    Science.gov (United States)

    2014-07-01

    Predictive models using text from a sample competitively bid California highway projects have been used to predict a construction : projects likely level of cost overrun. A text description of the project and the text of the five largest project line...

  9. Intertextuality within the linguistic analysis of a literary text

    Directory of Open Access Journals (Sweden)

    Л Н Лунькова

    2008-12-01

    Full Text Available The article is devoted to the phenomenon of precedent texts in fiction, the ways they are introduced into it and the possibilities of their linguistic interpretation within secondary texts.

  10. Difficulties in translation of socio-political texts

    Directory of Open Access Journals (Sweden)

    Артур Нарманович Мамедов

    2013-12-01

    Full Text Available Belonging of Russian socio-political texts to publicistic style assumes being guided by functional approach in order to find most adequate linguistic means by transfer of pragmatic meaning of the source text. Intralinguistic meaning can slightly remain by the interpretation of German texts. Lexical and grammatical transformations help preserving semantic-syntactic structure of the target text which means achievement of the same communicative effect by the translate which is being achieved by the source text.

  11. Socioeconomic Data and Applications Center (SEDAC) Collection of Treaty Texts

    Data.gov (United States)

    National Aeronautics and Space Administration — The Socioeconomic Data and Applications Center (SEDAC) Collection of Treaty Texts consists of environmental treaty texts compiled in collaboration with the Columbia...

  12. One-pot synthesis of [Formula: see text]-spiroiminolactones and [Formula: see text]-dispiroiminolactones using [Formula: see text]-disubstituted parabanic acid and thioparabanic acid derivatives.

    Science.gov (United States)

    Asghari, Sakineh; Qandalee, Mohammad; Sarmadi, Amir Ali

    2017-02-01

    A direct entry and simple process for the synthesis of [Formula: see text]-spiroiminolactones present in a large number of natural products has been developed. In the first step, the synthesis of parabanic acid derivatives was commenced from the reaction of [Formula: see text]-disubstituted urea and thiourea with oxalyl chloride, then a three-component reaction was carried out with isocyanides, acetylenic esters, and [Formula: see text]-disubstituted parabanic acid derivatives. The method allows the construction of a variety of [Formula: see text]-spiroiminolactone structures in good to high yields starting from readily available precursors. It was found that in the case of [Formula: see text]-diphenyl thioparabanic acid, additional products of [Formula: see text]-dispiroiminolactones have been formed due to the higher electrophilicity of [Formula: see text]-dicarbonyl groups. The structures were fully established using spectroscopic analysis NMR, IR, and Mass spectrometry. The crystal structure of [Formula: see text]-dispiroiminolactone was confirmed from single-crystal X-ray diffraction study.

  13. Syntactic Complexity as an Aspect of Text Complexity

    Science.gov (United States)

    Frantz, Roger S.; Starr, Laura E.; Bailey, Alison L.

    2015-01-01

    Students' ability to read complex texts is emphasized in the Common Core State Standards (CCSS) for English Language Arts and Literacy. The standards propose a three-part model for measuring text complexity. Although the model presents a robust means for determining text complexity based on a variety of features inherent to a text as well as…

  14. DIFFERENT MEANINGS A TEXT MAY ACQUIRE: THE CASE OF ...

    African Journals Online (AJOL)

    Theology, University of the Free State, P.O. Box 339, Bloemfontein, 9300. E-mail: ... READING THE TEXT. Any investigation of a text starts by reading the text. It is always useful to consult a number of translations of a text. Malachi 1:11 has been translated ... the reason why Yahweh has no pleasure in the offerings the people.

  15. What Oral Text Reading Fluency Can Reveal about Reading Comprehension

    Science.gov (United States)

    Veenendaal, Nathalie J.; Groen, Margriet A.; Verhoeven, Ludo

    2015-01-01

    Text reading fluency--the ability to read quickly, accurately and with a natural intonation--has been proposed as a predictor of reading comprehension. In the current study, we examined the role of oral text reading fluency, defined as text reading rate and text reading prosody, as a contributor to reading comprehension outcomes in addition to…

  16. What oral text reading fluency can reveal about reading comprehension

    NARCIS (Netherlands)

    Veenendaal, N.J.; Groen, M.A.; Verhoeven, L.T.W.

    2015-01-01

    Text reading fluency – the ability to read quickly, accurately and with a natural intonation – has been proposed as a predictor of reading comprehension. In the current study, we examined the role of oral text reading fluency, defined as text reading rate and text reading prosody, as a contributor

  17. Classroom Writing Tasks and Students' Analytic Text-Based Writing

    Science.gov (United States)

    Matsumura, Lindsay Clare; Correnti, Richard; Wang, Elaine

    2015-01-01

    The Common Core State Standards emphasize students writing analytically in response to texts. Questions remain about the nature of instruction that develops students' text-based writing skills. In the present study, we examined the role that writing task quality plays in students' mastery of analytic text-based writing. Text-based writing tasks…

  18. Helping Students Bridge Inferences in Science Texts Using Graphic Organizers

    Science.gov (United States)

    Roman, Diego; Jones, Francesca; Basaraba, Deni; Hironaka, Stephanie

    2016-01-01

    The difficulties that students face when reading science texts go beyond understanding vocabulary and syntactic structures. Comprehension of science texts requires students to infer how these texts function as a unit to communicate scientific meaning. To help students in this process, science texts sometimes employ logical connectives (e.g.,…

  19. Teaching Literature in an Age of Text Complexity

    Science.gov (United States)

    Alsup, Janet

    2013-01-01

    The recently released Common Core State Standards increase classroom emphasis on informational texts in high school and recommend a three-part measurement for text complexity when selecting texts for classroom use. In this commentary I argue that fictional narratives can not only meet these stated criteria for complex texts and result in critical…

  20. Fiction vs Informational Texts: Which Will Kindergartners Choose?

    Science.gov (United States)

    Correia, Marlene Ponte

    2011-01-01

    Informational texts include books as well as text in other formats such as magazines, newspapers, and online articles. The primary purpose of informational text is to provide information about the natural and social world. Literacy research cites many reasons why nonfiction/informational texts should be included in primary classrooms. The…

  1. Introducing Text Analytics as a Graduate Business School Course

    Science.gov (United States)

    Edgington, Theresa M.

    2011-01-01

    Text analytics refers to the process of analyzing unstructured data from documented sources, including open-ended surveys, blogs, and other types of web dialog. Text analytics has enveloped the concept of text mining, an analysis approach influenced heavily from data mining. While text mining has been covered extensively in various computer…

  2. Current Writing: Text and Reception in Southern Africa

    African Journals Online (AJOL)

    Current Writing focuses on literary and cultural debate around contemporary and re-published texts from southern Africa, and on the interpretation of world texts from a southern African perspective. Hence, the ... Fossicking in the House of Love: Apartheid Masculinity in The Folly · EMAIL FULL TEXT EMAIL FULL TEXT

  3. Strategy Shifts during Learning from Texts and Pictures

    Science.gov (United States)

    Schnotz, Wolfgang; Ludewig, Ulrich; Ullrich, Mark; Horz, Holger; McElvany, Nele; Baumert, Jürgen

    2014-01-01

    Reading for learning frequently requires integrating text and picture information into coherent knowledge structures. This article presents an experimental study aimed at analyzing the strategies used by students for integrating text and picture information. Four combinations of texts and pictures (text-picture units) were selected from textbooks…

  4. 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...

  5. Incorporating other texts: Intertextuality in Malaysian CSR reports

    Directory of Open Access Journals (Sweden)

    Kumaran Rajandran

    2016-11-01

    Full Text Available In Malaysia, corporate social responsibility (CSR is relatively new but corporations have been required to engage in and disclose their CSR. A typical genre for disclosure is CSR reports and these reports often refer to other texts. The article investigates the act of referencing to other texts or intertextuality in Malaysian CSR reports. It creates an archive of CEO Statements and Environment Sections in CSR reports and studies the archive for keywords, which can identify the incorporated texts. The function of these texts is examined in relation to Malaysia’s corporate context. CSR reports contain explicit references to documents (policies, regulations, reports, research, standards and to individuals/groups (CEOs, stakeholders, expert organizations. The incorporated texts display variation in corporate control, which organizes these texts along an intertextual cline. The cline helps to identify corporate and non-corporate sources among the texts. The selection of incorporated texts may reflect government and stock exchange demands. The texts are not standardized and are relevant for the CSR domain and corporations, where these texts monitor and justify CSR performance. Yet, the incorporated texts may perpetuate inexact reporting because corporations select the texts and the parts of texts to refer to. Since these texts have been employed to scrutinize initiatives and results, CSR reports can claim to represent the “truth” about a corporation’s CSR. Hence, intertextuality serves corporate interests.

  6. Measurement of the [Formula: see text] production cross section using events in the [Formula: see text] final state in pp collisions at [Formula: see text].

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    Khachatryan, V; Sirunyan, A M; Tumasyan, A; Adam, W; Asilar, E; Bergauer, T; Brandstetter, J; Brondolin, E; Dragicevic, M; Erö, J; Flechl, M; Friedl, M; Frühwirth, R; Ghete, V M; Hartl, C; Hörmann, N; Hrubec, J; Jeitler, M; König, A; Krätschmer, I; Liko, D; Matsushita, T; Mikulec, I; Rabady, D; Rad, N; Rahbaran, B; Rohringer, H; Schieck, J; Strauss, J; Waltenberger, W; Wulz, C-E; Dvornikov, O; Makarenko, V; Zykunov, V; Mossolov, V; Shumeiko, N; Gonzalez, J Suarez; Alderweireldt, S; De Wolf, E A; Janssen, X; Lauwers, J; Van De Klundert, M; Van Haevermaet, H; Van Mechelen, P; Van Remortel, N; Van Spilbeeck, A; Zeid, S Abu; Blekman, F; D'Hondt, J; Daci, N; De Bruyn, I; Deroover, K; Lowette, S; Moortgat, S; Moreels, L; Olbrechts, A; Python, Q; Tavernier, S; Van Doninck, W; Van Mulders, P; Van Parijs, I; Brun, H; Clerbaux, B; De Lentdecker, G; Delannoy, H; Fasanella, G; Favart, L; Goldouzian, R; Grebenyuk, A; Karapostoli, G; Lenzi, T; Léonard, A; Luetic, J; Maerschalk, T; Marinov, A; Randle-Conde, A; 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    2017-01-01

    The cross section of top quark-antiquark pair production in proton-proton collisions at [Formula: see text] is measured by the CMS experiment at the LHC, using data corresponding to an integrated luminosity of 2.2[Formula: see text]. The measurement is performed by analyzing events in which the final state includes one electron, one muon, and two or more jets, at least one of which is identified as originating from hadronization of a b quark. The measured cross section is [Formula: see text], in agreement with the expectation from the standard model.

  7. 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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Dubla, A; Ducroux, L; Dupieux, P; Ehlers, R J; Elia, D; Endress, E; Engel, H; Epple, E; Erazmus, B; Erdemir, I; Erhardt, F; Espagnon, B; Estienne, M; Esumi, S; Eum, J; Evans, D; Evdokimov, S; Eyyubova, G; Fabbietti, L; Fabris, D; Faivre, J; Fantoni, A; Fasel, M; Feldkamp, L; Feliciello, A; Feofilov, G; Ferencei, J; Fernández Téllez, A; 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; Fleck, M G; Floris, M; Foertsch, S; Foka, P; Fokin, S; Fragiacomo, E; Francescon, A; Frankenfeld, U; Fronze, G G; 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; Gasik, P; Gauger, E F; Germain, M; Gheata, A; Gheata, M; Ghosh, P; Ghosh, S K; Gianotti, P; Giubellino, P; Giubilato, P; Gladysz-Dziadus, E; Glässel, P; Goméz Coral, D M; Gomez Ramirez, A; Gonzalez, V; González-Zamora, P; Gorbunov, S; Görlich, L; Gotovac, S; Grabski, V; Grachov, O A; Graczykowski, L K; Graham, K L; Grelli, A; Grigoras, A; Grigoras, C; Grigoriev, V; Grigoryan, A; Grigoryan, S; Grinyov, B; Grion, N; Gronefeld, J M; Grosse-Oetringhaus, J F; Grossiord, J-Y; Grosso, R; Guber, F; Guernane, R; Guerzoni, B; Gulbrandsen, K; Gunji, T; Gupta, A; Gupta, R; Haake, R; Haaland, Ø; Hadjidakis, C; Haiduc, M; 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; Herrera Corral, G; Hess, B A; Hetland, K F; Hillemanns, H; Hippolyte, B; Horak, D; Hosokawa, R; Hristov, P; Huang, M; Humanic, T J; Hussain, N; Hussain, T; Hutter, D; Hwang, D S; Ilkaev, R; Inaba, M; Incani, E; Ippolitov, M; Irfan, M; Ivanov, M; Ivanov, V; Izucheev, V; Jacazio, N; Jacobs, P M; Jadhav, M B; Jadlovska, S; Jadlovsky, J; Jahnke, C; Jakubowska, M J; Jang, H J; Janik, M A; Jayarathna, P H S Y; Jena, C; Jena, S; Jimenez Bustamante, R T; Jones, P G; Jusko, A; Kalinak, P; Kalweit, A; Kamin, J; Kang, J H; Kaplin, V; Kar, S; Karasu Uysal, A; Karavichev, O; Karavicheva, T; Karayan, L; Karpechev, E; Kebschull, U; Keidel, R; Keijdener, D L D; Keil, M; Mohisin Khan, M; Khan, P; Khan, S A; Khanzadeev, A; Kharlov, Y; Kileng, B; Kim, D W; Kim, D J; Kim, D; 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; 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; Kostarakis, P; Kour, M; Kouzinopoulos, C; Kovalenko, O; Kovalenko, V; Kowalski, M; Koyithatta Meethaleveedu, G; Králik, I; Kravčáková, A; Kretz, M; 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; Kurashvili, P; Kurepin, A; Kurepin, A B; Kuryakin, A; Kweon, M J; Kwon, Y; La Pointe, S L; La Rocca, P; Ladron de Guevara, P; Lagana Fernandes, C; Lakomov, I; Langoy, R; Lara, C; Lardeux, A; Lattuca, A; Laudi, E; Lea, R; Leardini, L; Lee, G R; Lee, S; Lehas, F; Lemmon, R C; Lenti, V; Leogrande, E; León Monzón, I; León Vargas, H; 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; Loginov, V; Loizides, C; Lopez, X; López Torres, E; Lowe, A; Luettig, P; Lunardon, M; Luparello, G; Lutz, T H; Maevskaya, A; Mager, M; Mahajan, S; Mahmood, S M; Maire, A; Majka, R D; Malaev, M; Maldonado Cervantes, I; Malinina, L; Mal'Kevich, D; Malzacher, P; Mamonov, A; 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; Martin Blanco, J; Martinengo, P; Martínez, M I; Martínez García, G; Martinez Pedreira, M; Mas, A; Masciocchi, S; Masera, M; Masoni, A; Massacrier, L; Mastroserio, A; Matyja, A; Mayer, C; Mazer, J; Mazzoni, M A; Mcdonald, D; Meddi, F; Melikyan, Y; Menchaca-Rocha, A; Meninno, E; Mercado Pérez, J; 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; Montaño Zetina, L; Montes, E; Moreira De Godoy, D A; 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; Munzer, R H; Murakami, H; Murray, S; Musa, L; Musinsky, J; Naik, B; Nair, R; Nandi, B K; Nania, R; Nappi, E; Naru, M U; Natal da Luz, H; Nattrass, C; Navarro, S R; Nayak, K; Nayak, R; 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; Noris, J C C; Norman, J; Nyanin, A; Nystrand, J; Oeschler, H; Oh, S; Oh, S K; Ohlson, A; Okatan, A; Okubo, T; Olah, L; Oleniacz, J; Oliveira Da Silva, A C; Oliver, M H; Onderwaater, J; Oppedisano, C; Orava, R; Ortiz Velasquez, A; Oskarsson, A; Otwinowski, J; Oyama, K; Ozdemir, M; Pachmayer, Y; Pagano, P; Paić, G; Pal, S K; Pan, J; Pandey, A K; Papikyan, V; Pappalardo, G S; Pareek, P; Park, W J; Parmar, S; Passfeld, A; Paticchio, V; Patra, R N; Paul, B; Pei, H; Peitzmann, T; Pereira Da Costa, H; Peresunko, D; Pérez Lara, C E; Perez Lezama, E; Peskov, V; Pestov, Y; Petráček, V; Petrov, V; Petrovici, M; Petta, C; Piano, S; Pikna, M; Pillot, P; Pimentel, L O D L; Pinazza, O; Pinsky, L; Piyarathna, D B; Płoskoń, M; Planinic, M; Pluta, J; Pochybova, S; Podesta-Lerma, P L M; Poghosyan, M G; Polichtchouk, B; Poljak, N; Poonsawat, W; Pop, A; Porteboeuf-Houssais, S; Porter, J; Pospisil, J; 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; Rami, F; Raniwala, R; Raniwala, S; Räsänen, S S; Rascanu, B T; Rathee, D; Read, K F; 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.

  8. The home concept in poetic texts: new ways of understanding

    Directory of Open Access Journals (Sweden)

    С А Радзиевская

    2010-03-01

    Full Text Available The article focuses on the analysis of the HOME concept in American poetic texts and on the description of the model of its content. Linguocognitive mechanisms of the formation of the images of home are revealed.

  9. Comparative Evaluation of Online Machine Translation Systems with Legal Texts

    National Research Council Canada - National Science Library

    Chunyu Kit; Tak Ming Wong

    2008-01-01

    ... answer. In this article, we will examine a number of the most commonly used online MT services and compare their translation performance on legal texts, a text genus of particular importance to law...

  10. Text Mining in Biomedical Domain with Emphasis on Document Clustering

    Science.gov (United States)

    2017-01-01

    Objectives With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructured documents. Methods This paper reviews text mining processes in detail and the software tools available to carry out text mining. It also reviews the roles and applications of text mining in the biomedical domain. Results Text mining processes, such as search and retrieval of documents, pre-processing of documents, natural language processing, methods for text clustering, and methods for text classification are described in detail. Conclusions Text mining techniques can facilitate the mining of vast amounts of knowledge on a given topic from published biomedical research articles and draw meaningful conclusions that are not possible otherwise. PMID:28875048

  11. The classical dramatic text and its value in contemporary theatre

    Directory of Open Access Journals (Sweden)

    Nina Žavbi Milojević

    2013-06-01

    Full Text Available This paper deals with the classical dramatic text and its staging in contemporary theatre. Specifically, it aims to show that classical texts can address topical issues. This is illustrated by the example of several stagings of Ivan Cankar’s Hlapci, one of the most influential dramatic texts in Slovene literature. The history of this dramatic text is presented from its first publication and reception to the different stagings in various Slovene professional theatres. The focus is on how the situation in Slovene society is reflected in each examined staging. The drama Hlapci was first staged almost one hundred years ago, when the staging followed closely the dramatic text. However, after 1980 stagings became more independent from the text and more artistic freedom was allowed. The paper will prove that classical dramatic texts are very appropriate for staging in contemporary theatre, especially with an innovative director’s approach.

  12. Stalking Serials: Full-Text Periodicals on the Web.

    Science.gov (United States)

    Krumenaker, Larry

    1997-01-01

    Discusses the availability of full-text periodical archives on the World Wide Web. Highlights include digitized photographs and other images, in addition to text, costs, the use of search engines, and a list of Web sites. (LRW)

  13. Complex network analysis of literary and scientific texts

    CERN Document Server

    Grabska-Gradzinska, Iwona; Kwapien, Jaroslaw; Drozdz, Stanislaw

    2012-01-01

    We present results from our quantitative study of statistical and network properties of literary and scientific texts written in two languages: English and Polish. We show that Polish texts are described by the Zipf law with the scaling exponent smaller than the one for the English language. We also show that the scientific texts are typically characterized by the rank-frequency plots with relatively short range of power-law behavior as compared to the literary texts. We then transform the texts into their word-adjacency network representations and find another difference between the languages. For the majority of the literary texts in both languages, the corresponding networks revealed the scale-free structure, while this was not always the case for the scientific texts. However, all the network representations of texts were hierarchical. We do not observe any qualitative and quantitative difference between the languages. However, if we look at other network statistics like the clustering coefficient and the...

  14. The text plan concept: contributions to the writing planning process

    Directory of Open Access Journals (Sweden)

    Ana Lúcia Tinoco Cabral

    2013-12-01

    Full Text Available Students - at different levels, ranging from early grades up to PhD - face problems both on comprehension and text production. This paper focuses on the text plan concept according to the DTA (Discourse Text Analysis approach, i.e., a principle of organization that allows students to put into practice the production intention as well as to arrange text information while producing; being responsible for the text compositional structure (Adam, 2008. The study analyzes the relation between text plan and the writing planning process, in which the first one provides the second with theoretical support. In order to develop such research, the study covers some issues related to the reading skill, analyzes an argumentative text as per its textual plan, and presents some reflections on the writing process, focusing on the relation between textual plan and the writing planning process.

  15. Optimizing the 3R Study Strategy to Learn from Text

    NARCIS (Netherlands)

    Reijners, Pauline; Kester, Liesbeth; Wetzels, Sandra; Kirschner, Paul A.

    2014-01-01

    Learning from text is often very difficult for students. In this presentation the results of a study with the 3R study strategy are presented in which possible mechanisms for stimulating successful text learning are discussed.

  16. Pseudo-Label Generation for Multi-Label Text Classification

    Data.gov (United States)

    National Aeronautics and Space Administration — With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a huge volume of text data,...

  17. Text Mining in Biomedical Domain with Emphasis on Document Clustering.

    Science.gov (United States)

    Renganathan, Vinaitheerthan

    2017-07-01

    With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructured documents. This paper reviews text mining processes in detail and the software tools available to carry out text mining. It also reviews the roles and applications of text mining in the biomedical domain. Text mining processes, such as search and retrieval of documents, pre-processing of documents, natural language processing, methods for text clustering, and methods for text classification are described in detail. Text mining techniques can facilitate the mining of vast amounts of knowledge on a given topic from published biomedical research articles and draw meaningful conclusions that are not possible otherwise.

  18. An Automated Evaluation Metric for Chinese Text Entry

    OpenAIRE

    Jiang, Mike Tian-Jian; Zhan, James; Lin, Jaimie; Lin, Jerry; Hsu, Wen-Lien

    2007-01-01

    In this paper, we propose an automated evaluation metric for text entry. We also consider possible improvements to existing text entry evaluation metrics, such as the minimum string distance error rate, keystrokes per character, cost per correction, and a unified approach proposed by MacKenzie, so they can accommodate the special characteristics of Chinese text. Current methods lack an integrated concern about both typing speed and accuracy for Chinese text entry evaluation. Our goal is to re...

  19. Digital text cycles: from medieval manuscripts to modern markup

    OpenAIRE

    Hillesund, Terje

    2005-01-01

    For the original publication, please see: https://journals.tdl.org/jodi/index.php/jodi/article/view/62/65 The paper argues that the current implementation of digital publishing is a minor step in a long development of digital text cycles. Rather than being a revolution, the digital transformation of text is an evolutionary process heavily influenced by social and cultural factors. The paper introduces the concept of a "text cycle". An examination of basic features of paper-based text cycle...

  20. Estimation of Morphological Tables Using Text Analysis Results

    Directory of Open Access Journals (Sweden)

    Illia Savchenko

    2016-08-01

    Full Text Available This paper proposes methods for obtaining input data, necessary for the modified morphological analysis method, from the text sources of data using text analysis tools. Several methods are described that are suitable for calculating initial estimates of alternatives and cross-consistency matrix values based on processing text fragments by rule-based categorization and sentiment analysis tools. A practical implementation of this tool set for assessing statements in news regarding Ukraine is considered.

  1. Generating an Ordered Data Set from an OCR Text File

    Directory of Open Access Journals (Sweden)

    Jon Crump

    2014-11-01

    Full Text Available This tutorial illustrates strategies for taking raw OCR output from a scanned text, parsing it to isolate and correct essential elements of metadata, and generating an ordered data set (a python dictionary from it. These illustrations are specific to a particular text, but the overall strategy, and some of the individual procedures, can be adapted to organize any scanned text, even if it doesn’t look like this one.

  2. Education as Text: The Varieties of Educational Hiddenness.

    Science.gov (United States)

    Gordon, David

    1988-01-01

    Using the ideas of Paul Ricoeur and Clifford Geertz, this article develops the notion of education as a "text" and analyzes the "hidden curriculum" of that text as it is read by all members of the society. The hypothesis is proposed that education becomes a text about society's myths and sacred beliefs. (TE)

  3. Reflections on dictionaries designed to assist users with text ...

    African Journals Online (AJOL)

    After a discussion of a selected part of the existing theoretical literature, the concept of foreign-language text production is analysed within the framework of the broader concept of the foreign-language learning process. Two main types of foreign-language text production are discussed, i.e. text production with and without an ...

  4. SPEAK MANDARIN, A BEGINNING TEXT IN SPOKEN CHINESE.

    Science.gov (United States)

    FENN, HENRY C.; TEWKSBURY, M. GARDNER

    THIS TEXT IS A THOROUGH REVISION AND EXPANSION OF M. GARDNER TEWKSBURY'S "SPEAK CHINESE" OF 1948. THE 24 LESSONS OF THE EARLIER TEXT HAVE BEEN REGROUPED INTO 20 AND THE VOCABULARY NOW INCLUDES 850 ITEMS. WHEN USED WITH THE EXERCISES IN THE ACCOMPANYING "STUDENT'S WORKBOOK" THE TEXT IS SUITABLE FOR INTENSIVE COURSES AS WELL AS…

  5. Competing discourses in TRC narratives and related media texts

    African Journals Online (AJOL)

    In the words of Bakhtin (1986: 94) every utterance is a "link in the chain of speech communication": texts feed off and into other texts, and in the re- presentation of or response to an earlier text, meanings are often highlighted in new ways. In addition, when a narrative is retold over a period of time, changes in the social ...

  6. Words Matter: Scene Text for Image Classification and Retrieval

    NARCIS (Netherlands)

    Karaoglu, S.; Tao, R.; Gevers, T.; Smeulders, A.W.M.

    Text in natural images typically adds meaning to an object or scene. In particular, text specifies which business places serve drinks (e.g., cafe, teahouse) or food (e.g., restaurant, pizzeria), and what kind of service is provided (e.g., massage, repair). The mere presence of text, its words, and

  7. Using Diagnostic Text Information to Constrain Situation Models

    NARCIS (Netherlands)

    Dutke, S.; Baadte, C.; Hähnel, A.; Hecker, U. von; Rinck, M.

    2010-01-01

    During reading, the model of the situation described by the text is continuously accommodated to new text input. The hypothesis was tested that readers are particularly sensitive to diagnostic text information that can be used to constrain their existing situation model. In 3 experiments, adult

  8. Students Learn Equally Well from Digital as from Paperbound Texts

    Science.gov (United States)

    Taylor, Annette Kujawski

    2011-01-01

    Although digital texts are growing in popularity, few studies have systematically examined whether students can learn as well when reading a digital text, compared to reading a paperbound textbook. The present study examined several variables related to comprehension of digital versus paper textbooks, including text complexity, engagement with the…

  9. Texting Christmas wishes in China: A view from pragmatics

    Directory of Open Access Journals (Sweden)

    Jing Deng

    2010-01-01

    Full Text Available Texted messages on mobile phones are a prevalent mode of conveying regards in contemporary China, where this use of language reflects a shift in cultural values and customs. By analyzing the texted messages of two internet corpora, this article aims to shed light on linguistic and extralinguistic constraints on speakers’ linguistic options when they formulate such messages.

  10. Are Poor Chinese Text Comprehenders Also Poor in Written Composition?

    Science.gov (United States)

    Guan, Connie Qun; Ye, Feifei; Meng, Wanjin; Leong, Che Kan

    2013-01-01

    We studied the performance in three genres of Chinese written composition (narration, exposition, and argumentation) of 158 grade 4, 5, and 6 poor Chinese text comprehenders compared with 156 good Chinese text comprehenders. We examined text comprehension and written composition relationship. Verbal working memory (verbal span working memory and…

  11. Individual variation in children's reading comprehension across digital text types

    NARCIS (Netherlands)

    Fesel, S.S.; Segers, P.C.J.; Verhoeven, L.T.W.

    2018-01-01

    The present study examined children's digital text comprehension of digital text types linear digital text vs hypertext, with or without graphical navigable overviews. We investigated to what extent individual variation in children's comprehension could be explained by lexical quality (word reading

  12. Search for direct top squark pair production in events with a [Formula: see text] boson, [Formula: see text]-jets and missing transverse momentum in [Formula: see text] TeV [Formula: see text] collisions with the ATLAS detector.

    Science.gov (United States)

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Soffer, A; Soh, D A; Solans, C A; Solar, M; Solc, J; Soldatov, E Yu; Soldevila, U; Solfaroli Camillocci, E; Solodkov, A A; Solovyanov, O V; Solovyev, V; Sommer, P; Song, H Y; Soni, N; Sood, A; Sopczak, A; Sopko, V; Sopko, B; Sorin, V; Sosebee, M; Soualah, R; Soueid, P; Soukharev, A M; South, D; Spagnolo, S; Spanò, F; Spearman, W R; Spighi, R; Spigo, G; Spousta, M; Spreitzer, T; Spurlock, B; Denis, R D St; Staerz, S; Stahlman, J; Stamen, R; Stanecka, E; Stanek, R W; Stanescu, C; Stanescu-Bellu, M; Stanitzki, M M; Stapnes, S; Starchenko, E A; Stark, J; Staroba, P; Starovoitov, P; Staszewski, R; Stavina, P; Steele, G; Steinberg, P; Stekl, I; Stelzer, B; Stelzer, H J; Stelzer-Chilton, O; Stenzel, H; Stern, S; Stewart, G A; Stillings, J A; Stockton, M C; Stoebe, M; Stoicea, G; Stolte, P; Stonjek, S; Stradling, A R; Straessner, A; Stramaglia, M E; Strandberg, J; Strandberg, S; Strandlie, A; Strauss, E; Strauss, M; Strizenec, P; Ströhmer, R; Strom, D M; Stroynowski, R; Stucci, S A; Stugu, B; Styles, N A; Su, D; Su, J; Subramania, Hs; Subramaniam, R; Succurro, A; Sugaya, Y; Suhr, C; Suk, M; Sulin, V V; Sultansoy, S; Sumida, T; Sun, X; Sundermann, J E; Suruliz, K; Susinno, G; Sutton, M R; Suzuki, Y; Svatos, M; Swedish, S; Swiatlowski, M; Sykora, I; Sykora, T; Ta, D; Tackmann, K; Taenzer, J; Taffard, A; Tafirout, R; Taiblum, N; Takahashi, Y; Takai, H; Takashima, R; Takeda, H; Takeshita, T; Takubo, Y; Talby, M; Talyshev, A A; Tam, J Y C; Tamsett, M C; Tan, K G; Tanaka, J; Tanaka, R; Tanaka, S; Tanaka, S; Tanasijczuk, A J; Tani, K; Tannoury, N; Tapprogge, S; Tarem, S; Tarrade, F; Tartarelli, G F; Tas, P; Tasevsky, M; Tashiro, T; Tassi, E; Delgado, A Tavares; Tayalati, Y; Taylor, F E; Taylor, G N; Taylor, W; Teischinger, F A; Teixeira Dias Castanheira, M; Teixeira-Dias, P; Temming, K K; Ten Kate, H; Teng, P K; Terada, S; Terashi, K; Terron, J; Terzo, S; Testa, M; Teuscher, R J; Therhaag, J; Theveneaux-Pelzer, T; Thoma, S; Thomas, J P; Thomas-Wilsker, J; Thompson, E N; Thompson, P D; Thompson, P D; Thompson, A S; Thomsen, L A; Thomson, E; Thomson, M; Thong, W M; Thun, R P; Tian, F; Tibbetts, M J; Tikhomirov, V O; Tikhonov, Yu A; Timoshenko, S; Tiouchichine, E; Tipton, P; Tisserant, S; Todorov, T; Todorova-Nova, S; Toggerson, B; Tojo, J; Tokár, S; Tokushuku, K; Tollefson, K; Tomlinson, L; Tomoto, M; Tompkins, L; Toms, K; Topilin, N D; Torrence, E; Torres, H; Torró Pastor, E; Toth, J; Touchard, F; Tovey, D R; Tran, H L; Trefzger, T; Tremblet, L; Tricoli, A; Trigger, I M; Trincaz-Duvoid, S; Tripiana, M F; Triplett, N; Trischuk, W; Trocmé, B; Troncon, C; Trottier-McDonald, M; Trovatelli, M; True, P; 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; Cakir, I Turk; Turra, R; Tuts, P M; Tykhonov, A; Tylmad, M; Tyndel, M; Uchida, K; Ueda, I; Ueno, R; Ughetto, M; Ugland, M; Uhlenbrock, M; Ukegawa, F; Unal, G; Undrus, A; Unel, G; Ungaro, F C; Unno, Y; Urbaniec, D; Urquijo, P; Usai, G; Usanova, A; Vacavant, L; Vacek, V; Vachon, B; Valencic, N; Valentinetti, S; Valero, A; Valery, L; Valkar, S; Valladolid Gallego, E; Vallecorsa, S; Valls Ferrer, J A; Van Berg, R; Van Der Deijl, P C; van der Geer, R; van der Graaf, H; Van Der Leeuw, R; van der Ster, D; van Eldik, N; van Gemmeren, P; Van Nieuwkoop, J; van Vulpen, I; van Woerden, M C; Vanadia, M; Vandelli, W; Vanguri, R; Vaniachine, A; Vankov, P; Vannucci, F; Vardanyan, G; Vari, R; Varnes, E W; Varol, T; Varouchas, D; Vartapetian, A; Varvell, K E; Vassilakopoulos, V I; Vazeille, F; Vazquez Schroeder, T; Veatch, J; Veloso, F; 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; Boeriu, O E Vickey; Viehhauser, G H A; Viel, S; Vigne, R; Villa, M; 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Wenig, S; Wermes, N; Werner, M; Werner, P; Wessels, M; Wetter, J; Whalen, K; White, A; White, M J; White, R; White, S; Whiteson, D; Wicke, D; Wickens, F J; Wiedenmann, W; Wielers, M; Wienemann, P; Wiglesworth, C; Wiik-Fuchs, L A M; Wijeratne, P A; Wildauer, A; Wildt, M A; Wilkens, H G; Will, J Z; Williams, H H; Williams, S; Willis, C; Willocq, S; Wilson, J A; Wilson, A; Wingerter-Seez, I; Winklmeier, F; Wittgen, M; Wittig, T; Wittkowski, J; Wollstadt, S J; Wolter, M W; Wolters, H; Wosiek, B K; Wotschack, J; Woudstra, M J; Wozniak, K W; Wright, M; Wu, M; Wu, S L; Wu, X; Wu, Y; Wulf, E; Wyatt, T R; Wynne, B M; Xella, S; Xiao, M; Xu, D; Xu, L; Yabsley, B; Yacoob, S; Yamada, M; Yamaguchi, H; Yamaguchi, Y; Yamamoto, A; Yamamoto, K; Yamamoto, S; Yamamura, T; Yamanaka, T; Yamauchi, K; Yamazaki, Y; Yan, Z; Yang, H; Yang, H; Yang, U K; Yang, Y; Yanush, S; Yao, L; Yao, W-M; Yasu, Y; Yatsenko, E; Yau Wong, K H; Ye, J; Ye, S; Yen, A L; Yildirim, E; Yilmaz, M; Yoosoofmiya, R; 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; Zabinski, B; Zaidan, R; Zaitsev, A M; Zaman, A; Zambito, S; Zanello, L; Zanzi, D; Zaytsev, A; Zeitnitz, C; Zeman, M; Zemla, A; Zengel, K; Zenin, O; Ženiš, T; Zerwas, D; Zevi Della Porta, G; Zhang, D; Zhang, F; Zhang, H; Zhang, J; Zhang, L; Zhang, X; Zhang, Z; Zhao, Z; Zhemchugov, A; Zhong, J; Zhou, B; Zhou, L; Zhou, N; Zhu, C G; Zhu, H; Zhu, J; Zhu, Y; Zhuang, X; Zibell, A; Zieminska, D; Zimine, N I; Zimmermann, C; Zimmermann, R; Zimmermann, S; Zimmermann, S; Zinonos, Z; Ziolkowski, M; Zobernig, G; Zoccoli, A; Zur Nedden, M; Zurzolo, G; Zutshi, V; Zwalinski, L

    A search is presented for direct top squark pair production using events with at least two leptons including a same-flavour opposite-sign pair with invariant mass consistent with the [Formula: see text] boson mass, jets tagged as originating from [Formula: see text]-quarks and missing transverse momentum. The analysis is performed with proton-proton collision data at [Formula: see text] collected with the ATLAS detector at the LHC in 2012 corresponding to an integrated luminosity of 20.3 fb[Formula: see text]. No excess beyond the Standard Model expectation is observed. Interpretations of the results are provided in models based on the direct pair production of the heavier top squark state ([Formula: see text]) followed by the decay to the lighter top squark state ([Formula: see text]) via [Formula: see text], and for [Formula: see text] pair production in natural gauge-mediated supersymmetry breaking scenarios where the neutralino ([Formula: see text]) is the next-to-lightest supersymmetric particle and decays producing a [Formula: see text] boson and a gravitino ([Formula: see text]) via the [Formula: see text] process.

  13. Using Text Sets to Facilitate Critical Thinking in Sixth Graders

    Science.gov (United States)

    Scales, Roya Q.; Tracy, Kelly N.

    2017-01-01

    This case study examines features and processes of a sixth grade teacher (Jane) utilizing text sets as a tool for facilitating critical thinking. Jane's strong vision and student-centered beliefs informed her use of various texts to teach language arts as she worked to address demands of the Common Core State Standards. Text sets promoted multiple…

  14. Using Text-Messaging in the Secondary Classroom

    Science.gov (United States)

    Thomas, Kevin; Orthober, Corrie

    2011-01-01

    To examine the potential uses of and barriers to text-messaging in secondary schools, three classes (66 students) of high school students used their personal mobile phones to receive out of school, course-related text-messages from teachers. Forty-six students (70%) agreed to receive text-messages. Findings indicate that participants found…

  15. A comparative analysis of cohesion in academic and newspaper texts

    African Journals Online (AJOL)

    This article presents findings on a comparative analysis of cohesion in academic and newspaper texts on road traffic accidents. Cohesive devices are the surface structure features that link different parts of a text and make it flow logically. They are the necessary reins that hold the clauses of a text together. Coherence, on ...

  16. Combining text clustering and retrieval for corpus adaptation

    Science.gov (United States)

    He, Feng; Ding, Xiaoqing

    2007-01-01

    The application-relevant text data are very useful in various natural language applications. Using them can achieve significantly better performance for vocabulary selection, language modeling, which are widely employed in automatic speech recognition, intelligent input method etc. In some situations, however, the relevant data is hard to collect. Thus, the scarcity of application-relevant training text brings difficulty upon these natural language processing. In this paper, only using a small set of application specific text, by combining unsupervised text clustering and text retrieval techniques, the proposed approach can find the relevant text from unorganized large scale corpus, thereby, adapt training corpus towards the application area of interest. We use the performance of n-gram statistical language model, which is trained from the text retrieved and test on the application-specific text, to evaluate the relevance of the text acquired, accordingly, to validate the effectiveness of our corpus adaptation approach. The language models trained from the ranked text bundles present well discriminated perplexities on the application-specific text. The preliminary experiments on short message text and unorganized large corpus demonstrate the performance of the proposed methods.

  17. NaturalReader: A New Generation Text Reader

    Science.gov (United States)

    Flood, Jacqueline

    2007-01-01

    NaturalReader (http://www.naturalreaders.com/) is a new generation text reader, which means that it reads any machine readable text using synthesized speech without having to copy and paste the selected text into the NaturalReader application window. It installs a toolbar directly into all of the Microsoft Office[TM] programs and uses a mini-board…

  18. A Theoretical Discussion for E-Text Communication in Learning

    Science.gov (United States)

    Lee, Hye-Jung

    2015-01-01

    With the recent development of internet and mobile technology, a new kind of e-text communication is emerging. From messenger chatting, mobile texting, to social networking through Twitter or Facebook, e-text communication is becoming a main communication channel, especially for the younger generation. However, there has not been sufficient…

  19. Recognition of pornographic web pages by classifying texts and images.

    Science.gov (United States)

    Hu, Weiming; Wu, Ou; Chen, Zhouyao; Fu, Zhouyu; Maybank, Steve

    2007-06-01

    With the rapid development of the World Wide Web, people benefit more and more from the sharing of information. However, Web pages with obscene, harmful, or illegal content can be easily accessed. It is important to recognize such unsuitable, offensive, or pornographic Web pages. In this paper, a novel framework for recognizing pornographic Web pages is described. A C4.5 decision tree is used to divide Web pages, according to content representations, into continuous text pages, discrete text pages, and image pages. These three categories of Web pages are handled, respectively, by a continuous text classifier, a discrete text classifier, and an algorithm that fuses the results from the image classifier and the discrete text classifier. In the continuous text classifier, statistical and semantic features are used to recognize pornographic texts. In the discrete text classifier, the naive Bayes rule is used to calculate the probability that a discrete text is pornographic. In the image classifier, the object's contour-based features are extracted to recognize pornographic images. In the text and image fusion algorithm, the Bayes theory is used to combine the recognition results from images and texts. Experimental results demonstrate that the continuous text classifier outperforms the traditional keyword-statistics-based classifier, the contour-based image classifier outperforms the traditional skin-region-based image classifier, the results obtained by our fusion algorithm outperform those by either of the individual classifiers, and our framework can be adapted to different categories of Web pages.

  20. An efficient, streamable text format for multimedia captions and subtitles

    NARCIS (Netherlands)

    D.C.A. Bulterman (Dick); A.J. Jansen (Jack); P.S. Cesar Garcia (Pablo Santiago); S. Cruz-Lara

    2007-01-01

    htmlabstractIn spite of the high profile of media types such as video, audio and images, many multimedia presentations rely extensively on text content. Text can be used for incidental labels, or as subtitles or captions that accompany other media objects. In a multimedia document, text content is

  1. Augmenting the Refutation Text Effect with Analogies and Graphics

    Science.gov (United States)

    Danielson, Robert W.; Sinatra, Gale M.; Kendeou, Panayiota

    2016-01-01

    Refutation texts have been shown to be effective at promoting knowledge revision. It has been suggested that refutation texts are most effective when the misconception and the correct information are co-activated and integrated with causal networks that support the correct information. We explored two augmentations to a refutation text that might…

  2. The texting and driving epidemic : changing norms to change behavior.

    Science.gov (United States)

    2013-09-01

    This campaign was created to reduce texting and driving and to increase awareness of the serious risks involved with texting and driving. The target audience of the campaign is University of Kansas students. This plan proposes an Anti-Texting and ...

  3. Discursive paradigm of research of a literary text

    OpenAIRE

    Кондратенко, Н. В.

    2015-01-01

    The article defines discursive status of a literary text and outlines the role of the text in the act of literary communication. It also shows the dynamics study of a literary text in linguistics in terms of different methodological approaches and presents communicatively oriented approach to the analysis of literary communication.

  4. Theoretical Analysis of Understanding the Text in a Foreign Language

    Directory of Open Access Journals (Sweden)

    Aleksandras Velička

    2011-04-01

    Full Text Available The article contains the examination of the important problem of teaching the foreign languages. The theoretical interpretation and understanding of the text consist of two components: perceptive comprehension of the text and semantic decoding of the text contents. The author underlines that for understanding of the text the linguistic and extralinguistic elements; quantity of information, its presentation, visual aids are of the particular importance. The speech competency of the reader is also accented in the work. The article is useful in both theoretical and practical aspects.

  5. Research on Classification of Chinese Text Data Based on SVM

    Science.gov (United States)

    Lin, Yuan; Yu, Hongzhi; Wan, Fucheng; Xu, Tao

    2017-09-01

    Data Mining has important application value in today’s industry and academia. Text classification is a very important technology in data mining. At present, there are many mature algorithms for text classification. KNN, NB, AB, SVM, decision tree and other classification methods all show good classification performance. Support Vector Machine’ (SVM) classification method is a good classifier in machine learning research. This paper will study the classification effect based on the SVM method in the Chinese text data, and use the support vector machine method in the chinese text to achieve the classify chinese text, and to able to combination of academia and practical application.

  6. Translation: Parallel Texts and “Translation Memory”

    Directory of Open Access Journals (Sweden)

    Сергей Валентинович Евтеев

    2014-12-01

    Full Text Available Comparative textual analysis of the information exchange flows during the communication process allows identifying the relationship of a variety of texts conveying one meaning. Identification of parallel relations between the original text and the text of the translation in the communication process can only be of conditional nature. The text can serve as an instrument in identifying the dependence of the meaning on the pragmatic purpose of the communication process. In the terms of practice we are concerned only with the lexico-grammatical features of texts for translation and represent eight duads, which make up the functional paradigm of our research. In modern times text corpora tend to have clichéd texts due to common sources of the original information as well as coinciding propositions and presuppositions of the addressers and the addressees. Basically, we see these clichéd texts as semantically and quite often formally parallel. Parallel texts can be used for comparison in an intralingual environment at all levels of the language system. Our research shows that there are three main types of parallel texts which correlate with the three components: pragmatics, semantics and syntagmatics. Our theoretical frameworks have been applied in teaching foreign languages as well as translation skills to senior students with SDL TRADOS translation software used as a teaching tool on the point “This is how I do it, now you do it better”.

  7. THE COMPETENCE OF EFL TEACHERS IN MASTERING GENRE BASED TEXTS

    Directory of Open Access Journals (Sweden)

    Rois Mahfud

    2011-03-01

    Full Text Available This study aimed to find out the junior high school English teachers’ competence in mastering genre-based texts. The study was conducted to 13 English teachers of Junior High Schools in the districts of Kahayan Hilir, Maliku, and Jabiren Raya in Pulang Pisau Regency.  The data were obtained from test and questionnnaire. The result of the test shows that the teachers’ mastery in all genre-based texts was at the ‘fair’ level with 65.38. The average score in each genre varied with 79.23 (good for recount text; 68.46 (fair for procedural text; 65.77 (fair for descriptive text; 64.23 (poor for narrative text; and 46.54 (very poor for report text. Meanwhile, the result of the questionnaire revealed that there was no training for teachers on genre-based texts. The finding of this study reccommends the need of training in mastering genre based texts for Junior High School teachers for better students’ achievement in mastering genre-based text and for better preparation for National Examination.  Keywords: competence, curriculum, EFL teacher, Genre-based Approach

  8. Text Analytics: the convergence of Big Data and Artificial Intelligence

    Directory of Open Access Journals (Sweden)

    Antonio Moreno

    2016-03-01

    Full Text Available The analysis of the text content in emails, blogs, tweets, forums and other forms of textual communication constitutes what we call text analytics. Text analytics is applicable to most industries: it can help analyze millions of emails; you can analyze customers’ comments and questions in forums; you can perform sentiment analysis using text analytics by measuring positive or negative perceptions of a company, brand, or product. Text Analytics has also been called text mining, and is a subcategory of the Natural Language Processing (NLP field, which is one of the founding branches of Artificial Intelligence, back in the 1950s, when an interest in understanding text originally developed. Currently Text Analytics is often considered as the next step in Big Data analysis. Text Analytics has a number of subdivisions: Information Extraction, Named Entity Recognition, Semantic Web annotated domain’s representation, and many more. Several techniques are currently used and some of them have gained a lot of attention, such as Machine Learning, to show a semisupervised enhancement of systems, but they also present a number of limitations which make them not always the only or the best choice. We conclude with current and near future applications of Text Analytics.

  9. Structure strategy interventions: Increasing reading comprehension of expository text

    Directory of Open Access Journals (Sweden)

    Bonnie J. F. MEYER

    2011-11-01

    Full Text Available In this review of the literature we examine empirical studies designed to teach the structure strategy to increase reading comprehension of expository texts. First, we review the research that has served as a foundation for many of the studies examining the effects of text structure instruction. Text structures generally can be grouped into six categories: comparison, problem-and solution, causation, sequence, collection, and description. Next, we provide a historical look at research of structure strategyinterventions. Strategy interventions employ modeling, practice, and feedback to teach students how to use text structure strategically and eventually automatically. Finally, we review recent text structure interventions for elementary school students. We present similarities and differences among these studies and applications for instruction. Our review of intervention research suggests that direct instruction, modeling, scaffolding, elaborated feedback, and adaptation of instruction to student performance are keys in teaching students to strategically use knowledge about text structure.

  10. Text analysis with R for students of literature

    CERN Document Server

    Jockers, Matthew L

    2014-01-01

    Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological tool kit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that we simply cannot gather using traditional qualitative methods of close reading and human synthesis. Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. Each c...

  11. Text Clustering Based on the User Search Intention

    Science.gov (United States)

    Liu, Wenjing; Zhou, Yanquan; Ren, Fuji

    This paper presents a novel algorithm of Text Clustering. With the popularity of the Internet, text information on the web shows explosive growth trend. Text Clustering technology as a method of unsupervised machine learning, which does not need the training process and pre-manual tagging, so Text Clustering is an effective way for dealing with massive text messages. The traditional Text Clustering is based on the content of the article, and they think that the articles which belong to the same class have the greater similarity. In this paper, we extracted label word from the summary information returned by search engine. Then did hierarchical clustering based on the text feature of the label word. Experiment shows that the algorithm is feasible.

  12. Vocabulary Analysis On Reading Texts Used By EFL Students

    Directory of Open Access Journals (Sweden)

    C Sutarsyah

    2001-01-01

    Full Text Available Abstract: The vocabulary in the texts is the aspect that needs to identify. It is claimed that the condition of the words in a text has a great influence to readers' comprehension. It is also commonly believed that compre­hension depends on the extent that the words in a text are familiar to the readers. This case study was carried out in the English Education De­partment of University of Malang. The aim of the study is to identify and describe the vocabulary in the text and to seek if the text is useful for reading skill development. The reading materials under investigation were a collection of reading passages based on the syllabus (Reading Com­prehension I and limited to the passages that were used in class during the second semester, 1999. Based on the nature of the investigation, a descriptive qualitative design was applied to obtain the data. For this purpose, some available computer programs were used. They were used to find the description of vocabulary in the texts. The vocabulary analy­ses in the texts reveal some constrains. It was found that the texts, con­taining 7,945 words of 20 different texts, are dominated by low frequency words which account for 16.97% of the words in the texts. In terms of high frequency words occurring in the texts, function words dominate the texts. Of the 50 most frequent words, only two content words (people and say were found. In the case of word level, it was found that the texts being used 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. Based on the findings, some conclusions were drawn, it is believed that the constraints are due to the selection of the texts which are

  13. Complex Network Analysis of Literary and Scientific Texts

    Science.gov (United States)

    Grabska-Gradzińska, Iwona; Kulig, Andrzej; Kwapień, Jarosław; Drożdż, Stanisław

    2012-07-01

    We present results from our quantitative study of statistical and network properties of literary and scientific texts written in two languages: English and Polish. We show that Polish texts are described by the Zipf law with the scaling exponent smaller than the one for the English language. We also show that the scientific texts are typically characterized by the rank-frequency plots with relatively short range of power-law behavior as compared to the literary texts. We then transform the texts into their word-adjacency network representations and find another difference between the languages. For the majority of the literary texts in both languages, the corresponding networks revealed the scale-free structure, while this was not always the case for the scientific texts. However, all the network representations of texts were hierarchical. We do not observe any qualitative and quantitative difference between the languages. However, if we look at other network statistics like the clustering coefficient and the average shortest path length, the English texts occur to possess more clustered structure than do the Polish ones. This result was attributed to differences in grammar of both languages, which was also indicated in the Zipf plots. All the texts, however, show network structure that differs from any of the Watts-Strögatz, the Barabási-Albert, and the Erdös-Rényi architectures.

  14. TXT@WORK: pediatric hospitalists and text messaging.

    Science.gov (United States)

    Kuhlmann, Stephanie; Ahlers-Schmidt, Carolyn R; Steinberger, Erik

    2014-07-01

    Many studies assess provider-patient communication through text messaging; however, minimal research has addressed communication among physicians. The purpose of this study was to evaluate the use of text messaging by pediatric hospitalists. A brief, anonymous, electronic survey was distributed through the American Academy of Pediatrics Section on Hospital Medicine Listserv in February 2012. Survey questions assessed work-related text messaging. Of the 106 pediatric hospitalist respondents, 97 met inclusion criteria. Most were female (73%) and had been in practice messages, some (12%) more than 10 times per shift. More than half (53%) received work-related text messages when not at work. When asked to identify all potential work recipients, most often sent work-related text messages to other pediatric hospitalists (64%), fellows or resident physicians (37%), and subspecialists/consulting physicians (28%). When asked their preferred mode for brief communication, respondents' preferences varied. Many (46%) respondents worried privacy laws can be violated by sending/receiving text messages, and some (30%) reported having received protected health information (PHI) through text messages. However, only 11% reported their institution offered encryption software for text messaging. Physicians were using text messaging as a means of brief, work-related communication. Concerns arose regarding transfer of PHI using unsecure systems and work-life balance. Future research should examine accuracy and effectiveness of text message communication in the hospital, as well as patient privacy issues.

  15. Is searching full text more effective than searching abstracts?

    Directory of Open Access Journals (Sweden)

    Lin Jimmy

    2009-02-01

    Full Text Available Abstract Background With the growing availability of full-text articles online, scientists and other consumers of the life sciences literature now have the ability to go beyond searching bibliographic records (title, abstract, metadata to directly access full-text content. Motivated by this emerging trend, I posed the following question: is searching full text more effective than searching abstracts? This question is answered by comparing text retrieval algorithms on MEDLINE® abstracts, full-text articles, and spans (paragraphs within full-text articles using data from the TREC 2007 genomics track evaluation. Two retrieval models are examined: bm25 and the ranking algorithm implemented in the open-source Lucene search engine. Results Experiments show that treating an entire article as an indexing unit does not consistently yield higher effectiveness compared to abstract-only search. However, retrieval based on spans, or paragraphs-sized segments of full-text articles, consistently outperforms abstract-only search. Results suggest that highest overall effectiveness may be achieved by combining evidence from spans and full articles. Conclusion Users searching full text are more likely to find relevant articles than searching only abstracts. This finding affirms the value of full text collections for text retrieval and provides a starting point for future work in exploring algorithms that take advantage of rapidly-growing digital archives. Experimental results also highlight the need to develop distributed text retrieval algorithms, since full-text articles are significantly longer than abstracts and may require the computational resources of multiple machines in a cluster. The MapReduce programming model provides a convenient framework for organizing such computations.

  16. A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts

    DEFF Research Database (Denmark)

    Westergaard, David; Stærfeldt, Hans Henrik; Tønsberg, Christian

    2018-01-01

    million English scientific full-text articles published during the period 1823-2016. We describe the development in article length and publication sub-topics during these nearly 250 years. We showcase the potential of text mining by extracting published protein-protein, disease-gene, and protein......-text articles consistently outperforms using abstracts only....

  17. Comprehension Challenges in the Fourth Grade: The Roles of Text Cohesion, Text Genre, and Readers' Prior Knowledge

    Science.gov (United States)

    McNamara, Danielle S.; Ozuru, Yasuhiro; Floyd, Randy G.

    2011-01-01

    We examined young readers' comprehension as a function of text genre (narrative, science), text cohesion (high, low), and readers' abilities (reading decoding skills and world knowledge). The overarching purpose of this study was to contribute to our understanding of the "fourth grade slump". Children in grade 4 read four texts,…

  18. Text Linguistics in the Context of the Communication Sciences

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    Silviu Serban

    2011-05-01

    Full Text Available This paper tries to analyse the conditions of emerging of text linguistics, taking into consideration the rootsof the preoccupations in its domain, originated in the framework of the communication studies. Thus, the change ofthe perspective on communication, from the mechanistic transmission to interactivity and the exchange of themeanings, led to the pragmatic orientation of the linguistic researches, not just to the message itself, but also to theelements of the communicative act and to the context where the exchange of the meanings takes place. As a result,text linguistics defines the text as communicational occurrence, involving both the members of the communicationand the conditions of the production and the reception of the message, unlike conventional linguistics which studiesthe text in abstracto, just the message itself, ignoring the world that the text refers to, or the users of the message, thetransmitter and the receiver.

  19. Analysis Of Aspects Of Messages Hiding In Text Environments

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    Afanasyeva Olesya

    2015-09-01

    Full Text Available In the work are researched problems, which arise during hiding of messages in text environments, being transmitted by electronic communication channels and the Internet. The analysis of selection of places in text environment (TE, which can be replaced by word from the message is performed. Selection and replacement of words in the text environment is implemented basing on semantic analysis of text fragment, consisting of the inserted word, and its environment in TE. For implementation of such analysis is used concept of semantic parameters of words coordination and semantic value of separate word. Are used well-known methods of determination of values of these parameters. This allows moving from quality level to quantitative level analysis of text fragments semantics during their modification by word substitution. Invisibility of embedded messages is ensured by providing preset values of the semantic cooperation parameter deviations.

  20. Patterns of Text Reuse in a Scientific Corpus

    CERN Document Server

    Citron, Daniel T

    2014-01-01

    We consider the incidence of text "reuse" by researchers, via a systematic pairwise comparison of the text content of all articles deposited to arXiv.org from 1991--2012. We measure the global frequencies of three classes of text reuse, and measure how chronic text reuse is distributed among authors in the dataset. We infer a baseline for accepted practice, perhaps surprisingly permissive compared with other societal contexts, and a clearly delineated set of aberrant authors. We find a negative correlation between the amount of reused text in an article and its influence, as measured by subsequent citations. Finally, we consider the distribution of countries of origin of articles containing large amounts of reused text.

  1. TRANSLATION PROCEDURES OF BILINGUAL TEXTS IN BBC INDONESIA NEWS

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    Ni Kadek Risda Apriantika Dewi

    2014-05-01

    Full Text Available This writing is aimed to analyze the translation procedure of the translation product in bilingual text.There were four bilingual (EnglishIndonesian texts taken from BBC Indonesia news as data source. The data was collected randomly by reading and taking notes of the text. The selected data were analyzed based on theory of translation procedures to indentify and classify the types of translation procedure used in the text. The result of this study shows that the mostly method of translating is literal translation and transposition. They were used to transfer the meaning of the authentic text from SL into TL accurately, acceptability and readability in order to make good translation.

  2. Considerations on a methodological framework for the analysis of texts

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    David Andrés Camargo Mayorga

    2017-03-01

    Full Text Available This article presents a review of relevant literature for the construction of a methodological framework for the analysis of texts in applied social sciences, such as economics, which we have supported in the main hermeneutical approaches from philosophy, linguistics and social sciences. In essence, they assume that every discourse carries meaning - be it truthful or not - and that they express complex social relations. Thus, any analysis of content happens finally to be a certain type of hermeneutics (interpretation, while trying to account for multiple phenomena immersed in the production, application, use and reproduction of knowledge within the text. When applying discourse analysis in teaching texts in economic sciences, we find traces of legalistic, political, ethnocentric tendencies, among other discourses hidden from the text. For this reason, the analysis of the internal discourse of the text allows us to delve inside the state ideology and its underlying or latent discourses.

  3. AN Information Text Classification Algorithm Based on DBN

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    LU Shu-bao

    2017-04-01

    Full Text Available Aiming at the problem of low categorization accuracy and uneven distribution of the traditional text classification algorithms,a text classification algorithm based on deep learning has been put forward. Deep belief networks have very strong feature learning ability,which can be extracted from the high dimension of the original feature,so that the text classification can not only be considered,but also can be used to train classification model. The formula of TF-IDF is used to compute text eigenvalues,and the deep belief networks are used to construct the classifier. The experimental results show that compared with the commonly used classification algorithms such as support vector machine,neural network and extreme learning machine,the algorithm has higher accuracy and practicability,and it has opened up new ideas for the research of text classification.

  4. Communicative-Pragmatic Organization of Scientific Technical Text

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    Таисия Георгиевна Попова

    2015-12-01

    Full Text Available Scientific texts constitute different speech entities from the perspective of communicative and pragmatic structures. These structures are formed by text components such as communicative and pragmatic components and pragmatic settings. Topics, descriptions of research results, findings and conclusions are outlined as communicative-pragmatic blocks. The typical means of expressing communicative pragmatic blocks are certain clichéd constructions that are characterized by special speech means in the speech text plane. The scientific text also includes such pragmatic setups as prognostic, compensating, evaluative, non-verbal means of exposure