of the lexical material to explain how many actions there were, how many actors , etc., and the nature of the map from actor onto action, etc. For...direction and make a measurement there, or may scan from the current focus in a specified " direccion " (or by some other specification of a trajectory
This book discusses the following: Computational Linguistics, Artificial Intelligence, Linguistics, Philosophy, and Cognitive Science and the current state of natural language understanding. Three topics form the focus for discussion; these topics include aspects of grammars, aspects of semantics/pragmatics, and knowledge representation.
Pragmatics , in press. Collins, A. and M. R. Quillian, "Experiments on Semantic Memory and Language Comprehension," in L. W. Gregg (Ed.), Cognition in Learning...ed Anaphora in Basque," ProceedingA of the 8th Anniil -cet in of the Berjkeley Ljnuisti,._; $ocietZ, Berkeley, CA, 1982. (2) Azkarate, M., D. Far
Meystre, Stephanie; Haug, Peter J
We are developing tools to help maintain a complete, accurate and timely problem list within a general purpose Electronic Medical Record system. As a part of this project, we have designed a system to automatically retrieve medical problems from free-text documents. Here we describe an information model based on XML (eXtensible Markup Language) and compliant with the CDA (Clinical Document Architecture). This model is used to ease the exchange of clinical data between the Natural Language Understanding application that retrieves potential problems from narrative document, and the problem list management application.
Lai, Chun; Hu, Xiao; Lyu, Boning
Out-of-class learning with technology comprises an essential context of second language development. Understanding the nature of out-of-class language learning with technology is the initial step towards safeguarding its quality. This study examined the types of learning experiences that language learners engaged in outside the classroom and the…
The paper surveys the major projects on the understanding of natural language that fall within what may now be called the artificial intelligence paradigm of natural language systems. Some space is devoted to arguing that the paradigm is now a reality and different in significant respects from the generative paradigm of present-day linguistics.…
of RUS 157 157 160 161 SECTION 9. THE PRAGMATICS OF NON-ANAPHORIC NOUN PHRASES 9.1 Introduction 163 9.2 Setting the Stage: Previous views on... ANAPHORA , ELLIPSIS, DISCOURSE,... MRL DATA BASE TRANSLATOR DBMS COMMAND GENERATOR DBMS COMMANDS FIG. 1 ORGANIZATION OF THE IRUS SYSTEM 146...understanding system (such as semantics, pragmatics , and a dialogue expert) can be used to improve the performance of the parser. The production of the
Ruben, Robert J
The development of conceptualization of a biological basis of language during the 20th century has come about, in part, through the appreciation of the central nervous system's ability to utilize varied sensory inputs, and particularly vision, to develop language. Sign language has been a part of the linguistic experience from prehistory to the present day. Data suggest that human language may have originated as a visual language and became primarily auditory with the later development of our voice/speech tract. Sign language may be categorized into two types. The first is used by individuals who have auditory/oral language and the signs are used for special situations, such as communication in a monastery in which there is a vow of silence. The second is used by those who do not have access to auditory/oral language, namely the deaf. The history of the two forms of sign language and the development of the concept of the biological basis of language are reviewed from the fourth century BC to the present day. Sign languages of the deaf have been recognized since at least the fourth century BC. The codification of a monastic sign language occurred in the seventh to eighth centuries AD. Probable synergy between the two forms of sign language occurred in the 16th century. Among other developments, the Abbey de L'Epée introduced, in the 18th century, an oral syntax, French, into a sign language based upon indigenous signs of the deaf and newly created signs. During the 19th century, the concept of a "critical" period for the acquisition of language developed; this was an important stimulus for the exploration of the biological basis of language. The introduction of techniques, e.g. evoked potentials and functional MRI, during the 20th century allowed study of the brain functions associated with language.
Massaro, Dominic W
I review 2 seminal research reports published in this journal during its second decade more than a century ago. Given psychology's subdisciplines, they would not normally be reviewed together because one involves reading and the other speech perception. The small amount of interaction between these domains might have limited research and theoretical progress. In fact, the 2 early research reports revealed common processes involved in these 2 forms of language processing. Their illustration of the role of Wundt's apperceptive process in reading and speech perception anticipated descriptions of contemporary theories of pattern recognition, such as the fuzzy logical model of perception. Based on the commonalities between reading and listening, one can question why they have been viewed so differently. It is commonly believed that learning to read requires formal instruction and schooling, whereas spoken language is acquired from birth onward through natural interactions with people who talk. Most researchers and educators believe that spoken language is acquired naturally from birth onward and even prenatally. Learning to read, on the other hand, is not possible until the child has acquired spoken language, reaches school age, and receives formal instruction. If an appropriate form of written text is made available early in a child's life, however, the current hypothesis is that reading will also be learned inductively and emerge naturally, with no significant negative consequences. If this proposal is true, it should soon be possible to create an interactive system, Technology Assisted Reading Acquisition, to allow children to acquire literacy naturally.
has conceptually noted lim- itations of COPs ; our research empirically illustrates the tradeoffs with a COP even if all users have a shared goal...in group size and dynamics. To further assess the effects of a COP on information quality and quantity, we plan to run a conceptual replication of the...2] T. Kuhn, “A survey and classification of controlled natural languages,” Computational Linguistics , vol. 40, pp. 121–170, 2014.  E. Cambria
Natural language processing (NLP) work began more than sixty years ago; it is a field of computer science and linguistics devoted to creating computer systems that use human (natural) language. Natural Language Processing holds great promise for making computer interfaces that are easier to use for people, since people will be able to talk to the computer in their own language, rather than learn a specialized language of computer commands. Natural Language processing techniques can make possi...
Sharp, J.K. [Sandia National Labs., Albuquerque, NM (United States)
This seminar describes a process and methodology that uses structured natural language to enable the construction of precise information requirements directly from users, experts, and managers. The main focus of this natural language approach is to create the precise information requirements and to do it in such a way that the business and technical experts are fully accountable for the results. These requirements can then be implemented using appropriate tools and technology. This requirement set is also a universal learning tool because it has all of the knowledge that is needed to understand a particular process (e.g., expense vouchers, project management, budget reviews, tax, laws, machine function).
Byers-Heinlein, Krista; Chen, Ke Heng; Xu, Fei
Languages function as independent and distinct conventional systems, and so each language uses different words to label the same objects. This study investigated whether 2-year-old children recognize that speakers of their native language and speakers of a foreign language do not share the same knowledge. Two groups of children unfamiliar with Mandarin were tested: monolingual English-learning children (n=24) and bilingual children learning English and another language (n=24). An English speaker taught children the novel label fep. On English mutual exclusivity trials, the speaker asked for the referent of a novel label (wug) in the presence of the fep and a novel object. Both monolingual and bilingual children disambiguated the reference of the novel word using a mutual exclusivity strategy, choosing the novel object rather than the fep. On similar trials with a Mandarin speaker, children were asked to find the referent of a novel Mandarin label kuò. Monolinguals again chose the novel object rather than the object with the English label fep, even though the Mandarin speaker had no access to conventional English words. Bilinguals did not respond systematically to the Mandarin speaker, suggesting that they had enhanced understanding of the Mandarin speaker's ignorance of English words. The results indicate that monolingual children initially expect words to be conventionally shared across all speakers-native and foreign. Early bilingual experience facilitates children's discovery of the nature of foreign language words. Copyright © 2013 Elsevier Inc. All rights reserved.
The First Conference on Artificial Intelligence Applications , pages 13-18. IEEE Computer Society, December, 1984. S"[121 Sager, N. The String Parser...Language Access. In The First Conference on Artificial Intelligence Applications , pages 19-24. IEEE Computer Society, December, 1984.  Stallard...of The First Conference on Artificial Intelligence Applications . IEEE Computer Society, Denver, Colorado, December, 1984. [71 Scha. R.J.H. English
This paper describes a system for the computer understanding of English. The system answers questions, executes commands, and accepts information in normal English dialogue. It uses semantic information and context to understand discourse and to disambiguate sentences. It combines a complete syntactic analysis of each sentence with a heuristic…
Mazlack, L.J.; Paz, N.M.
Newspaper cartoons can graphically display the result of ambiguity in human speech; the result can be unexpected and funny. Likewise, computer analysis of natural language statements also needs to successfully resolve ambiguous situations. Computer techniques already developed use restricted world knowledge in resolving ambiguous language use. This paper illustrates how these techniques can be used in resolving ambiguous situations arising in cartoons. 8 references.
Hirschberg, Julia; Manning, Christopher D
Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the linguistic structure of language and developing basic technologies such as machine translation, speech recognition, and speech synthesis. Today's researchers refine and make use of such tools in real-world applications, creating spoken dialogue systems and speech-to-speech translation engines, mining social media for information about health or finance, and identifying sentiment and emotion toward products and services. We describe successes and challenges in this rapidly advancing area. Copyright © 2015, American Association for the Advancement of Science.
Baker, Eva; And Others
This sourcebook is intended to provide researchers and users of natural language computer systems with a classification scheme to describe language-related problems associated with such systems. Methods from the disciplines of artificial intelligence (AI), education, linguistics, psychology, anthropology, and psychometrics were applied in an…
Full Text Available In this paper we describe a preliminary, work-in-progress Spoken Language Understanding Software (SLUS with tailored feedback options, which uses interactive spoken language interface to teach Iraqi Arabic and culture to second language learners. The SLUS analyzes input speech by the second language learner and grades for correct pronunciation in terms of supra-segmental and rudimentary segmental errors such as missing consonants. We evaluated this software on training data with the help of two native speakers, and found that the software recorded an accuracy of around 70% in law and order domain. For future work, we plan to develop similar systems for multiple languages.
Maybury, Mark T.
The goal of natural language generation is to replicate human writers or speakers: to generate fluent, grammatical, and coherent text or speech. Produced language, using both explicit and implicit means, must clearly and effectively express some intended message. This demands the use of a lexicon and a grammar together with mechanisms which exploit semantic, discourse and pragmatic knowledge to constrain production. Furthermore, special processors may be required to guide focus, extract presuppositions, and maintain coherency. As with interpretation, generation may require knowledge of the world, including information about the discourse participants as well as knowledge of the specific domain of discourse. All of these processes and knowledge sources must cooperate to produce well-written, unambiguous language. Natural language generation has received less attention than language interpretation due to the nature of language: it is important to interpret all the ways of expressing a message but we need to generate only one. Furthermore, the generative task can often be accomplished by canned text (e.g., error messages or user instructions). The advent of more sophisticated computer systems, however, has intensified the need to express multisentential English.
Roel M Willems
Full Text Available Do people use sensori-motor cortices to understand language? Here we review neurocognitive studies of language comprehension in healthy adults and evaluate their possible contributions to theories of language in the brain. We start by sketching the minimal predictions that an embodied theory of language understanding makes for empirical research, and then survey studies that have been offered as evidence for embodied semantic representations. We explore four debated issues: first, does activation of sensori-motor cortices during action language understanding imply that action semantics relies on mirror neurons? Second, what is the evidence that activity in sensori-motor cortices plays a functional role in understanding language? Third, to what extent do responses in perceptual and motor areas depend on the linguistic and extra-linguistic context? And finally, can embodied theories accommodate language about abstract concepts? Based on the available evidence, we conclude that sensori-motor cortices are activated during a variety of language comprehension tasks, for both concrete and abstract language. Yet, this activity depends on the context in which perception and action words are encountered. Although modality-specific cortical activity is not a sine qua non of language processing even for language about perception and action, sensori-motor regions of the brain appear to make functional contributions to the construction of meaning, and should therefore be incorporated into models of the neurocognitive architecture of language.
This book presents the Natural Constraint Language (NCL) language, a description language in conventional mathematical logic for modeling and solving constraint satisfaction problems. It uses illustrations and tutorials to detail NCL and its applications.
Full Text Available Wittgenstein has often explored language games that have to do with musical objects of different sizes (phrases, themes, formal sections or entire works. These games can refer to a technical language or to common parlance and correspond to different targets. One of these coincides with the intention to suggest a way of conceiving musical understanding. His model takes the form of the invitation to "hear (something as (something": typically, to hear a musical passage as an introduction or as a conclusion or in a certain tonality. However one may ask to what extent or in what terms (literal or metaphorical these procedures, and usually the intervention of language games, is requested by our common ways of understanding music. This article shows through the use of some examples that aspectual perception inherent to musical understanding does not require language games as a necessary condition (although in many cases the link between them seems very strong, in contradiction with the thesis of an essential linguistic character of music. At a basic level, it seems more appropriate to insist on the notion of a game: to understand music means to enter into the orbit of "music games" which show an autonomous functioning. Language games have, however, an important function when we develop this comprehension in the light of the criteria of judgment that substantiate the manner in which music is incorporated in and operates within specific forms of life.
Shepherd, Debra Lynne
The regional and cultural closeness of Botswana and South Africa, as well as differences in their political histories and language policy stances, offers a unique opportunity to evaluate the role of language in reading outcomes. This study aims to empirically test the effect of exposure to mother tongue and English instruction on the reading…
Corneli, Joseph; Corneli, Miriam
"Natural Language," whether spoken and attended to by humans, or processed and generated by computers, requires networked structures that reflect creative processes in semantic, syntactic, phonetic, linguistic, social, emotional, and cultural modules. Being able to produce novel and useful behavior following repeated practice gets to the root of both artificial intelligence and human language. This paper investigates the modalities involved in language-like applications that computers -- and ...
Provides a comprehensive, modern reference of practical tools and techniques for implementing natural language processing in computer systems. This title covers classical methods, empirical and statistical techniques, and various applications. It describes how the techniques can be applied to European and Asian languages as well as English
Olesen, Henning Salling; Weber, Kirsten
is based on a transformation of the "scenic understanding" from a clinical to a text interpretation, which seeks to understand collective unconscious meaning in text, and is presented with an illustration of the interpretation procedure from social research. Then follows a brief systematic account of key......»Sozialisation, Sprache und szenisches Verstehen. Alfred Lorenzers Beitrag zu einer psychosozialen Methodologie«. The article is a guided tour to Alfred Lorenzer's proposal for an "in-depth hermeneutic" cultural analysis methodology which was launched in an environment with an almost complete split...... between social sciences and psychology/psychoanalysis. It presents the background in his materialist socialization theory, which combines a social reinterpretation of the core insights in classical psychoanalysis – the unconscious, the drives – with a theory of language acquisition. His methodology...
Waltz, David L
Natural language understanding is central to the goals of artificial intelligence. Any truly intelligent machine must be capable of carrying on a conversation: dialogue, particularly clarification dialogue, is essential if we are to avoid disasters caused by the misunderstanding of the intelligent interactive systems of the future. This book is an interim report on the grand enterprise of devising a machine that can use natural language as fluently as a human. What has really been achieved since this goal was first formulated in Turing's famous test? What obstacles still need to be overcome?
and that would integrate graphics, mouse deixis , and natural language. Although the project was originally intended to last several years, it has been...planning program, an expert system used to plan air attack missions for the Air Force. This interface combined English with graphics and mouse deixis
Reese, Richard M
If you are a Java programmer who wants to learn about the fundamental tasks underlying natural language processing, this book is for you. You will be able to identify and use NLP tasks for many common problems, and integrate them in your applications to solve more difficult problems. Readers should be familiar/experienced with Java software development.
The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. Recently, more and more work is shifting toward hybrid methods that combine new empirical corpus-based methods, including the use of probabilistic and information-theoretic techniques, with traditional symbolic methods. This work is made possible by the rece...
Read, Walter; And Others
A discussion of the application of artificial intelligence to natural language processing looks at several problems in language comprehension, involving semantic ambiguity, anaphoric reference, and metonymy. Examples of these problems are cited, and the importance of the computational approach in analyzing them is explained. The approach applies…
In the course of foreign language teaching, the priority should always be given to increase international understanding by enabling the students to enter into the life, thought, and literature of people who speak another language. The objective may vary from one period to another, but it should long be present in the thinking of our minds. The…
we apply Natural Language Processing (NLP) tools to a unique database constructed from approximately 3,000 English translated press releases...in the English language . It denies any bias introduced by limiting sources to English language media reports. IBC critics claim that its body counts...added benefit to the understanding of the text. There are variations of stopwords for each language . The System for the Mechanical Analysis and
To identify the neural components that make a brain ready for language, it is important to have well defined linguistic phenotypes, to know precisely what language is. There are two central features to language: the capacity to form signs (words), and the capacity to combine them into complex structures. We must determine how the human brain enables these capacities. A sign is a link between a perceptual form and a conceptual meaning. Acoustic elements and content elements, are already brain-internal in non-human animals, but as categorical systems linked with brain-external elements. Being indexically tied to objects of the world, they cannot freely link to form signs. A crucial property of a language-ready brain is the capacity to process perceptual forms and contents offline, detached from any brain-external phenomena, so their "representations" may be linked into signs. These brain systems appear to have pleiotropic effects on a variety of phenotypic traits and not to be specifically designed for language. Syntax combines signs, so the combination of two signs operates simultaneously on their meaning and form. The operation combining the meanings long antedates its function in language: the primitive mode of predication operative in representing some information about an object. The combination of the forms is enabled by the capacity of the brain to segment vocal and visual information into discrete elements. Discrete temporal units have order and juxtaposition, and vocal units have intonation, length, and stress. These are primitive combinatorial processes. So the prior properties of the physical and conceptual elements of the sign introduce combinatoriality into the linguistic system, and from these primitive combinatorial systems derive concatenation in phonology and combination in morphosyntax. Given the nature of language, a key feature to our understanding of the language-ready brain is to be found in the mechanisms in human brains that enable the unique
Full Text Available To identify the neural components that make a brain ready for language, it is important to have well defined linguistic phenotypes, to know precisely what language is. There are two central features to language: the capacity to form signs (words, and the capacity to combine them into complex structures. We must determine how the human brain enables these capacities.A sign is a link between a perceptual form and a conceptual meaning. Acoustic elements and content elements, are already brain-internal in non-human animals, but as categorical systems linked with brain-external elements. Being indexically tied to objects of the world, they cannot freely link to form signs. A crucial property of a language-ready brain is the capacity to process perceptual forms and contents offline, detached from any brain-external phenomena, so their representations may be linked into signs. These brain systems appear to have pleiotropic effects on a variety of phenotypic traits and not to be specifically designed for language.Syntax combines signs, so the combination of two signs operates simultaneously on their meaning and form. The operation combining the meanings long antedates its function in language: the primitive mode of predication operative in representing some information about an object. The combination of the forms is enabled by the capacity of the brain to segment vocal and visual information into discrete elements. Discrete temporal units have order and juxtaposition, and vocal units have intonation, length, and stress. These are primitive combinatorial processes. So the prior properties of the physical and conceptual elements of the sign introduce combinatoriality into the linguistic system, and from these primitive combinatorial systems derive concatenation in phonology and combination in morphosyntax.Given the nature of language, a key feature to our understanding of the language-ready brain is to be found in the mechanisms in human brains that
Ward, R. D.
Describes ideas for making the best use of simple language processing interfaces in computer-based learning activities. These ideas are based on classroom observations of hearing-impaired, language-impaired, and unimpaired children using programs with a natural language interface which allows them to communicate with the computer about…
Nadkarni, Prakash M; Ohno-Machado, Lucila; Chapman, Wendy W
To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. This tutorial targets the medical informatics generalist who has limited acquaintance with the principles behind NLP and/or limited knowledge of the current state of the art. We describe the historical evolution of NLP, and summarize common NLP sub-problems in this extensive field. We then provide a synopsis of selected highlights of medical NLP efforts. After providing a brief description of common machine-learning approaches that are being used for diverse NLP sub-problems, we discuss how modern NLP architectures are designed, with a summary of the Apache Foundation's Unstructured Information Management Architecture. We finally consider possible future directions for NLP, and reflect on the possible impact of IBM Watson on the medical field.
Hassani, Kaveh; Lee, Won-Sook
A natural language interface exploits the conceptual simplicity and naturalness of the language to create a high-level user-friendly communication channel between humans and machines. One of the promising applications of such interfaces is generating visual interpretations of semantic content of a given natural language that can be then visualized either as a static scene or a dynamic animation. This survey discusses requirements and challenges of developing such systems and reports 26 graphi...
In principle, natural language and knowledge representation are closely related. This paper investigates this by demonstrating how several natural language phenomena, such as definite reference, ambiguity, ellipsis, ill-formed input, figures of speech, and vagueness, require diverse knowledge sources and reasoning. The breadth of kinds of knowledge needed to represent morphology, syntax, semantics, and pragmatics is surveyed. Furthermore, several current issues in knowledge representation, such as logic versus semantic nets, general-purpose versus special-purpose reasoners, adequacy of first-order logic, wait-and-see strategies, and default reasoning, are illustrated in terms of their relation to natural language processing and how natural language impact the issues.
Full Text Available The performance of deep learning in natural language processing has been spectacular, but the reasons for this success remain unclear because of the inherent complexity of deep learning. This paper provides empirical evidence of its effectiveness and of a limitation of neural networks for language engineering. Precisely, we demonstrate that a neural language model based on long short-term memory (LSTM effectively reproduces Zipf's law and Heaps' law, two representative statistical properties underlying natural language. We discuss the quality of reproducibility and the emergence of Zipf's law and Heaps' law as training progresses. We also point out that the neural language model has a limitation in reproducing long-range correlation, another statistical property of natural language. This understanding could provide a direction for improving the architectures of neural networks.
Mobile Speech and Advanced Natural Language Solutions provides a comprehensive and forward-looking treatment of natural speech in the mobile environment. This fourteen-chapter anthology brings together lead scientists from Apple, Google, IBM, AT&T, Yahoo! Research and other companies, along with academicians, technology developers and market analysts. They analyze the growing markets for mobile speech, new methodological approaches to the study of natural language, empirical research findings on natural language and mobility, and future trends in mobile speech. Mobile Speech opens with a challenge to the industry to broaden the discussion about speech in mobile environments beyond the smartphone, to consider natural language applications across different domains. Among the new natural language methods introduced in this book are Sequence Package Analysis, which locates and extracts valuable opinion-related data buried in online postings; microintonation as a way to make TTS truly human-like; and se...
Hovy, Eduard H
Recognizing that the generation of natural language is a goal- driven process, where many of the goals are pragmatic (i.e., interpersonal and situational) in nature, this book provides an overview of the role of pragmatics in language generation. Each chapter states a problem that arises in generation, develops a pragmatics-based solution, and then describes how the solution is implemented in PAULINE, a language generator that can produce numerous versions of a single underlying message, depending on its setting.
Andreasen, Troels; Styltsvig, Henrik Bulskov; Jensen, Per Anker
We describe a natural logic for computational reasoning with a regimented fragment of natural language. The natural logic comes with intuitive inference rules enabling deductions and with an internal graph representation facilitating conceptual path finding between pairs of terms as an approach t......-conservative constructs in order to approach scientific use of natural language. Finally, we outline a prototype system addressing life science for the natural logic knowledge base setup being under continuous development.......We describe a natural logic for computational reasoning with a regimented fragment of natural language. The natural logic comes with intuitive inference rules enabling deductions and with an internal graph representation facilitating conceptual path finding between pairs of terms as an approach...
POS Tagging, and Dependency Parsing. Fourth Workshop on Statistical Parsing of Morphologically Rich Languages (SPMRL). English (Note: These are for...Detection, Affix Labeling, POS Tagging, and Dependency Parsing" by Stephen Tratz presented at the Statistical Parsing of Morphologically Rich Languages ...and also English ) natural language processing (NLP), containing code for training and applying the Arabic NLP system described in Stephen Tratz’s
Garfield, D A; Rapp, C; Evens, M
The potential benefit of artificial intelligence (AI) technology as a tool of psychiatry has not been well defined. In this essay, the technology of natural language processing and its position with regard to the two main schools of AI is clearly outlined. Past experiments utilizing AI techniques in understanding psychopathology are reviewed. Natural language processing can automate the analysis of transcripts and can be used in modeling theories of language comprehension. In these ways, it can serve as a tool in testing psychological theories of psychopathology and can be used as an effective tool in empirical research on verbal behavior in psychopathology.
Dependency Distance, proposed by Hudson , calculated by Liu [2,3], is an important concept in Dependency Theory. It can be used as a measure of the syntactic difficulty, and lots of research [2,4] have testified the universal of Dependency Distance in various languages. Human languages seem to present a preference for short dependency distance, which may be explained in terms of general cognitive constraint of limited working memory . Psychological experiments in English, German, Russian and Chinese support the hypothesis that Dependency Distance minimization (DDM) make languages to evolve into some syntactic patterns to reduce memory burden [6-9]. The study of psychology focuses on the process and mechanism of syntactic structure selection in speech comprehension. In many speech comprehension experiments , ambiguous structure is an important experimental material.
The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in Bayesian Natural Language Interpretation and make proposals based on information theory, probability theory, and related fields. The methodologies offered here extend to the target semantic and pragmatic analyses of computational natural language interpretation. Bayesian approaches to natural language semantics and pragmatics are based on methods from signal processing and the causal Bayesian models pioneered by especially Pearl. In signal processing, the Bayesian method finds the most probable interpretation by finding the one that maximizes the product of the prior probability and the likelihood of the interpretation. It thus stresses the importance of a production model for interpretation as in Grice's contributions to pragmatics or in interpretation by abduction.
This dissertation studies how people describe emotions with language and how computers can simulate this descriptive behavior. Although many non-human animals can express their current emotions as social signals, only humans can communicate about emotions symbolically. This symbolic communication of emotion allows us to talk about emotions that we…
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked only with domain-specific semantic attributes, while the last system, called NLG3, requires a corpus marked with both semantic attributes and syntactic dependency information. All systems attempt to produce a grammatical natural language phrase from a domain-specific semantic representation. NLG1 serves a baseline syst...
Berwick, Robert C; Friederici, Angela D; Chomsky, Noam; Bolhuis, Johan J
Language serves as a cornerstone for human cognition, yet much about its evolution remains puzzling. Recent research on this question parallels Darwin's attempt to explain both the unity of all species and their diversity. What has emerged from this research is that the unified nature of human language arises from a shared, species-specific computational ability. This ability has identifiable correlates in the brain and has remained fixed since the origin of language approximately 100 thousand years ago. Although songbirds share with humans a vocal imitation learning ability, with a similar underlying neural organization, language is uniquely human. Copyright © 2012 Elsevier Ltd. All rights reserved.
Full Text Available Recognition that we need to live in a more ecologically sustainable way and that the physical forms of designed landscapes are an expression of the social values and cultural drivers of the time has underpinned the call by some landscape design professionals for a new design aesthetic - one that reflects modern ecological concerns. However, for an 'ecological aesthetic' to be accepted, it must be capable of generating landscape forms that are pleasurable to the general public, as it is the general public who will be responsible for delivering ecological sustainability in the long term. The growth in understanding of the mathematical properties of natural systems and processes has led some authors to suggest that fractal geometry, called the language of nature, could playa role in developing such an aesthetic. This is supported by recent research that suggests human perceptual systems have evolved to process fractal patterning and that we have a visual preference for images with certain fractal qualities. However, how fractal geometry can be used, and what form an aesthetic based on this geometry might take, remains elusive and undefined. To develop an aesthetic based on fractal geometry it is necessary to understand why fractal geometry should be considered as a potential tool and whether the application of fractal analysis can differentiate between the types of landscape forms encountered every day.
R. Bruce Hull; David P. Robertson; Angelina Kendra
This study is intended to serve as an explicit and specific example of the social construction of nature. It is motivated by the need to develop a more sophisticated language for a critical public dialogue about society's relationship with nature. We conducted a case study of environmental discourse in one local population in hopes of better understanding how a...
Gevarter, W. B.
An overview of artificial intelligence (AI), its core ingredients, and its applications is presented. The knowledge representation, logic, problem solving approaches, languages, and computers pertaining to AI are examined, and the state of the art in AI is reviewed. The use of AI in expert systems, computer vision, natural language processing, speech recognition and understanding, speech synthesis, problem solving, and planning is examined. Basic AI topics, including automation, search-oriented problem solving, knowledge representation, and computational logic, are discussed.
Research into natural language understanding systems for computers has concentrated on implementing particular grammars and grammatical models of the language concerned. This paper presents a rationale for research into natural language understanding systems based on neurological and psychological principles. Important features of the approach are that it seeks to place the onus of learning the language on the computer, and that it seeks to make use of the vast wealth of relevant psycholinguistic and neurolinguistic theory. 22 references.
Baker, Eva L.; And Others
Evaluation models are being developed for assessing artificial intelligence (AI) systems in terms of similar performance by groups of people. Natural language understanding and vision systems are the areas of concentration. In simplest terms, the goal is to norm a given natural language system's performance on a sample of people. The specific…
Rodríguez, J. Tinguaro; Franco, Camilo; Montero, Javier
The evidence coming from cognitive psychology and linguistics shows that pairs of reference concepts (as e.g. good/bad, tall/short, nice/ugly, etc.) play a crucial role in the way we everyday use and understand natural languages in order to analyze reality and make decisions. Different situations...
Language change is a phenomenon that has fascinated scholars for centuries. As a science, linguistic theory has evolved considerably during the 20th century, but the overall puzzle of language change still remains unsolved...
machines through natural language. The emphasis is pragmatic . It is less important in applied NLP whether the machine "understands" its natural...between man and machine or communication between two people, entails discourse phenomena that transcend individual sentences. e Anaphora - Pronouns and...identifying the referents of these place-holder words. Interactive dialogues invite the use of anaphora , much more than simpler data base query situations
The Policy-Based Management Natural Language Parser (PBEM) is a rules-based approach to enterprise management that can be used to automate certain management tasks. This parser simplifies the management of a given endeavor by establishing policies to deal with situations that are likely to occur. Policies are operating rules that can be referred to as a means of maintaining order, security, consistency, or other ways of successfully furthering a goal or mission. PBEM provides a way of managing configuration of network elements, applications, and processes via a set of high-level rules or business policies rather than managing individual elements, thus switching the control to a higher level. This software allows unique management rules (or commands) to be specified and applied to a cross-section of the Global Information Grid (GIG). This software embodies a parser that is capable of recognizing and understanding conversational English. Because all possible dialect variants cannot be anticipated, a unique capability was developed that parses passed on conversation intent rather than the exact way the words are used. This software can increase productivity by enabling a user to converse with the system in conversational English to define network policies. PBEM can be used in both manned and unmanned science-gathering programs. Because policy statements can be domain-independent, this software can be applied equally to a wide variety of applications.
Percy-Smith, L; Busch, GW; Sandahl, M
The aim of the study was to identify factors associated with the level of language understanding, the level of receptive and active vocabulary, and to estimate effect-related odds ratios for cochlear implanted children's language level.......The aim of the study was to identify factors associated with the level of language understanding, the level of receptive and active vocabulary, and to estimate effect-related odds ratios for cochlear implanted children's language level....
Hovy, Dirk; Spruit, Shannon
Research in natural language processing (NLP) used to be mostly performed on anonymous corpora, with the goal of enriching linguistic analysis. Authors were either largely unknown or public figures. As we increasingly use more data from social media, this situation has changed: users are now...
van Luin, J.; Nijholt, Antinus; op den Akker, Hendrikus J.A.; Giagourta, V.; Strintzis, M.G.
We describe our work on designing a natural language accessible navigation agent for a virtual reality (VR) environment. The agent is part of an agent framework, which means that it can communicate with other agents. Its navigation task consists of guiding the visitors in the environment and to
Joffe, Victoria L.; Nippold, Marilyn A.
Purpose: This prologue introduces a clinical forum on adolescent language disorders, a topic that has long been of interest to school-based speech-language pathologists/therapists. Method: A rationale for the clinical forum is provided, and the content is contrasted with a previous forum on the same topic that was published nearly 20 years ago.…
character recognition in different Indian languages, pre- and post-processing techniques tai- lored for Indian languages and user-friendly interfaces for better utilisation of the output of document analysis systems, all need attention from Indian scientists working in Image Pro- cessing and Pattern Recognition. It is with this ...
Sato, Kazuyoshi; Kleinsasser, Robert C.
Reports on a study that documented the views and practices of communicative language teaching (CLT) by Japanese second language inservice teachers. Uses multiple data sources including interviews, observations, and surveys to report on how teachers define CLT and implement it in their classrooms. (Author/VWL)
However, to engage critically with practice, SLA research must be situated in its institutional, social and cultural settings. We argue that situated research into classroom interaction provides second language teachers with opportunities to theorize and improve practice. (S/ern Af Linguistics & Applied Language Stud: 2001 ...
that every AUSTRALIAN BIRD is an OSTRICH). The t interpretation of such sentences in ordinary English is done by pragmatic considerations of whether...HE HAS A NAME AND PL HOBBY HIS PL HOBBY ARE PL ENTERTAINMENT-ACTIVITY HE ALSO HAS A SOCIAL-SECURITY-NUMBER The rules for pronominal anaphora are very... anaphora (in JARGON, definite noun phrase anaphora is indicated by noun phrases introduced by determiners "this", "that", "these", and "those"). This
Huffman, Scott B.; Laird, John E.
Despite its ubiquity in human learning, very little work has been done in artificial intelligence on agents that learn from interactive natural language instructions. In this paper, the problem of learning procedures from interactive, situated instruction is examined in which the student is attempting to perform tasks within the instructional domain, and asks for instruction when it is needed. Presented is Instructo-Soar, a system that behaves and learns in response to interactive natural language instructions. Instructo-Soar learns completely new procedures from sequences of instruction, and also learns how to extend its knowledge of previously known procedures to new situations. These learning tasks require both inductive and analytic learning. Instructo-Soar exhibits a multiple execution learning process in which initial learning has a rote, episodic flavor, and later executions allow the initially learned knowledge to be generalized properly.
Full Text Available The frequency of intensional and non-first-order definable operators in natural languages constitutes a challenge for automated reasoning with the kind of logical translations that are deemed adequate by formal semanticists. Whereas linguists employ expressive higher-order logics in their theories of meaning, the most successful logical reasoning strategies with natural language to date rely on sophisticated first-order theorem provers and model builders. In order to bridge the fundamental mathematical gap between linguistic theory and computational practice, we present a general translation from a higher-order logic frequently employed in the linguistics literature, two-sorted Type Theory, to first-order logic under Henkin semantics. We investigate alternative formulations of the translation, discuss their properties, and evaluate the availability of linguistically relevant inferences with standard theorem provers in a test suite of inference problems stated in English. The results of the experiment indicate that translation from higher-order logic to first-order logic under Henkin semantics is a promising strategy for automated reasoning with natural languages.The paper is accompanied by the source code (cf. SUPP. FILES of the grammar and reasoning architecture described in the paper.
Kearsey, John; Turner, Sheila
Argues that, although some bilingual pupils may be at a disadvantage in understanding scientific language, there may be some circumstances where being bilingual is an advantage in understanding scientific language. Presents evidence of circumstances where being bilingual was an advantage and circumstances where it was a disadvantage in…
Different generations are constituted depending on social changes and they are designed sociologically as traditional, baby boomer, X, Y and Z. Many studies have been reported on understanding of foreign language learning generation Y. This study aims to realise the gap in and contribute to the research on language learning understanding of…
Natural language processing (NLP) is a subfield of artificial intelligence and computational linguistics. It studies the problems of automated generation and understanding of natural human languages. This paper outlines a framework to use computer and natural language techniques for various levels of learners to learn foreign languages in Computer-based Learning environment. We propose some ideas for using the computer as a practical tool for learning foreign language where the most of courseware is generated automatically. We then describe how to build Computer Based Learning tools, discuss its effectiveness, and conclude with some possibilities using on-line resources.
Vandeventer Faltin, Anne
Full Text Available This paper illustrates the usefulness of natural language processing (NLP tools for computer assisted language learning (CALL through the presentation of three NLP tools integrated within a CALL software for French. These tools are (i a sentence structure viewer; (ii an error diagnosis system; and (iii a conjugation tool. The sentence structure viewer helps language learners grasp the structure of a sentence, by providing lexical and grammatical information. This information is derived from a deep syntactic analysis. Two different outputs are presented. The error diagnosis system is composed of a spell checker, a grammar checker, and a coherence checker. The spell checker makes use of alpha-codes, phonological reinterpretation, and some ad hoc rules to provide correction proposals. The grammar checker employs constraint relaxation and phonological reinterpretation as diagnosis techniques. The coherence checker compares the underlying "semantic" structures of a stored answer and of the learners' input to detect semantic discrepancies. The conjugation tool is a resource with enhanced capabilities when put on an electronic format, enabling searches from inflected and ambiguous verb forms.
Full Text Available This article is an attempt to develop a counter-argument to the contention that meaning is bound by language. Locating itself within the realist ontology of language developed by Saint Anselm of Canterbury, it will be argued that language comprises representations of entities perceived both extra to the perceiver and through introspection. Thus, a language game cannot be a closed system in the sense that by its very existence representations of extralinguistic being are contained therein. If truth is defined as that which is the case, the task of the perceiver becomes apprehension of being beheld without the cloud imposed by symbols: representations are not what they represent, instead they serve as windows onto a view of what is. Following exploration of psychological studies on contemplation, it is argued that it is in desymbolised moments of attentive awareness of being that meaning, unfiltered by the representativeness of language (and indeed, other symbolic systems, can arise. It will be proposed that in contemplative traditions, being is not reduced in perception, and the moment of meaning comes to the fore in the engagement and encounter with being.
The word ''radioactivity'' has something scary about it; it makes us think of something intangable, creeping dangers, the mysterious ticking of Geiger counters, reactor disasters, dirty bombs, nuclear contamination and destruction. True: Whole landscapes were made uninhabitable by accidents involving radioactive material such as Windscale, Sellafield and Chernobyl and others that were kept largely secret from the public. While to some they brought premature death, for the great majority of the world population their effects have so far been insignificant. By contrast, how little known is the fact that natural radioactivity has been around since human beginnings and that the cells of the human body have always been equipped to repair damage from radioactive radiation or other causes provided such damage does not occur too frequently. Elmar Traebert presents the physics underlying radioactivity without resorting to formulas and explains in an easily understandable manner the different types of radiation, their measurement and sources (in medicine, power plants, and weapons technology) and how they should be handled. He describes nuclear power plants and the safety problems they involve, sunburn, radiation therapy, uranium ammunition and uranium mining. Whoever knows about these things can more early cope with his own fears and maybe allay some of them. He can also see through statements made by different interest groups with regard to radioactive material and duly form his own opinion
Full Text Available With the ever-growing volume of information on the web, the traditional search engines, returning hundreds or thousands of documents per query, become more and more demanding on the user patience in satisfying his/her information needs. Question Answering in Open Domains is a top research and development topic in current language technology. Unlike the standard search engines, based on the latest Information Retrieval (IR methods, open domain question-answering systems are expected to deliver not a list of documents that might be relevant for the user's query, but a sentence or a paragraph answering the question asked in natural language. This paper reports on the construction and testing of a Question Answering (QA system which builds on several web services developed at the Research Institute for Artificial Intelligence (ICIA/RACAI. The evaluation of the system has been independently done by the organizers of the ResPubliQA 2009 exercise and has been rated the best performing system with the highest improvement due to the natural language processing technology over a baseline state-of-the-art IR system. The system was trained on a specific corpus, but its functionality is independent on the linguistic register of the training data.
Cawsey, Alison J.; Webber, Bonnie L.; Jones, Ray B.
Abstract Good communication is vital in health care, both among health care professionals, and between health care professionals and their patients. And well-written documents, describing and/or explaining the information in structured databases may be easier to comprehend, more edifying, and even more convincing than the structured data, even when presented in tabular or graphic form. Documents may be automatically generated from structured data, using techniques from the field of natural language generation. These techniques are concerned with how the content, organization and language used in a document can be dynamically selected, depending on the audience and context. They have been used to generate health education materials, explanations and critiques in decision support systems, and medical reports and progress notes. PMID:9391935
authoritative manner outlining all the issues involved. The next two papers deal with com- plete systems designed for processing printed text documents in a single language. The paper by Chaudhuri, Pal and Mitra, which is also an invited contribution, describes a system for recognition of printed Oriya script. The paper by ...
The Department of Basic Education insists that English as a First additional Language be taught using the Communicative Approach. The use of the approach has been spelt out in the national curriculum statement. However, the Communicative Approach takes many different forms as dictated by the competences being ...
In this article we argue that second language acquisition (SLA) research and theory have a significant role to play in teacher education, especially at the masters level. The danger of overly practical approaches is that they cannot challenge current practice in ways that are both critical and rigorous. However, to engage ...
level, and it could be at the level of populations. If we underline the distinctive nature of changes at different levels of biological organisation, we can understand how they are related in the long history of life. .... selection lies in the usefulness of variations: in their being “useful to man” or “useful in some way to each being” ...
Andreasen, Troels; Bulskov, Henrik; Nilsson, Jørgen Fischer
This paper makes a case for adopting appropriate forms of natural logic as target language for computational reasoning with descriptive natural language. Natural logics are stylized fragments of natural language where reasoning can be conducted directly by natural reasoning rules reflecting intui...
It is proposed that humans have available to them two systems for interpreting natural language. One system is familiar from formal semantics. It is a type based system that pairs a syntactic form with its interpretation using grammatical rules of composition. This system delivers both plausible and implausible meanings. The other proposed system is one that uses the grammar together with knowledge of how the human production system works. It is token based and only delivers plausible meanings, including meanings based on a repaired input when the input might have been produced as a speech error.
Nisreen Al-Khawaldeh; Abdullah Jaradat; Husam Al-momani; Baker Bani-Khair
Learning idioms which is considered a very essential part of learning and using language (Sridhar and Karunakaran, 2013) has recently attracted a great attention of English learning researchers particularly the assessment of how well Asian language learners acquire and use idioms in communication (Tran, 2013). Understanding and using them fluently could be viewed as a sign towards language proficiency as they could be an effective way to give students better conditions to enhance their commun...
Tragant, Elsa; Thompson, Marilyn S.; Victori, Mia
The present work aims to contribute to our understanding of the underlying dimensions of language learning strategies in foreign language contexts. The study analyzes alternative factor structures underlying a recently developed instrument (Tragant and Victori, 2012) and it includes the age factor in the examination of its construct validity. The…
Richard K. Payne
Full Text Available The question motivating this essay is how tantric Buddhist practitioners in Japan understood language such as to believe that mantra, dhāraṇī, and related forms are efficacious. “Extraordinary language” is introduced as a cover term for these several similar language uses found in tantric Buddhist practices in Japan. The essay proceeds to a critical examination of Anglo-American philosophy of language to determine whether the concepts, categories, and concerns of that field can contribute to the analysis and understanding of extraordinary language. However, that philosophy of language does not contribute to this analysis, as it is constrained by its continuing focus on its founding concepts, dating particularly from the work of Frege. Comparing it to Indic thought regarding language reveals a distinct mismatch, further indicating the limiting character of the philosophy of language. The analysis then turns to examine two other explanations of tantric language use found in religious studies literature: magical language and performative language. These also, however, prove to be unhelpful. While the essay is primarily critical, one candidate for future constructive study is historical pragmatics, as suggested by Ronald Davidson. The central place of extraordinary language indicates that Indic reflections on the nature of language informed tantric Buddhist practice in Japan and are not simply cultural baggage.
Hovy, Dirk; Spruit, Shannon
Research in natural language processing (NLP) used to be mostly performed on anonymous corpora, with the goal of enriching linguistic analysis. Authors were either largely unknown or public figures. As we increasingly use more data from social media, this situation has changed: users are now...... individually identifiable, and the outcome of NLP experiments and applications can have a direct effect on their lives. This change should spawn a debate about the ethical implications of NLP, but until now, the internal discourse in the field has not followed the technological development. This position paper...... identifies a number of social implications that NLP research may have, and discusses their ethical significance, as well as ways to address them....
Full Text Available Learning idioms which is considered a very essential part of learning and using language (Sridhar and Karunakaran, 2013 has recently attracted a great attention of English learning researchers particularly the assessment of how well Asian language learners acquire and use idioms in communication (Tran, 2013. Understanding and using them fluently could be viewed as a sign towards language proficiency as they could be an effective way to give students better conditions to enhance their communication skills in the daily context (Beloussova, 2015. Investigating how idiomatic expressions are dealt with and processed in a second language or foreign language is an issue worth examining further since it may give language teachers a better idea of some of the strategies language learners use in order to interpret figurative language. Despite their importance, learning and using English idioms by Arab EFL learners have not been investigated extensively, and no research has been conducted on Jordanian students’ idiomatic competency. Thus, the researcher decided to work on these un-tackled issues in the Jordanian context. Most idioms-based investigations are the difficulties Jordanians learners of English face when translating them into Arabic (Hussein, Khanji, and Makhzoumi, 2000; Bataineh and Bataineh, 2002; Alrishan and Smadi, 2015. The analysis of the test showed students’ very poor idiomatic competence; particularly a very limited awareness of the most frequently used idioms despite their overwhelming desire to learn them. Data analysis of the questionnaire revealed the strategies students use and the problems they face in understanding and learning idioms.
Schaub, Gayle; Cadena, Cara; Bravender, Patricia; Kierkus, Christopher
To effectively access and use the resources of the academic library and to become information-literate, students must understand the language of information literacy. This study analyzes undergraduate students' understanding of fourteen commonly used information-literacy terms. It was found that some of the terms least understood by students are…
.... Initiated in 2004 at Defense Research and Development Canada (DRDC), the SACOT knowledge engineering research project is currently investigating, developing and validating innovative natural language processing (NLP...
Nataša Pirih Svetina
Full Text Available Intercomprehension is a communication practice where two persons speak their mother tongue and are able to understand each other without being taught the language of their adressee. It is a usual practice between languages that belong to the same linguistic family, for example Slavic, Romance or Germanic languages. In the article, the authors present the notion of intercomprehension as an alternative to communication in English as a lingua franca. That kind of communication was known among Scandinavians, whereas the first teaching method was developped for Romance languages (EuRomCom at the beginning of the 21st century. Today, more methods exist including German and Slavic languages. In the article, the authors are enumerating some of them and also give a short outline of existing practices.
2009) use a combinatorial categorial grammar (CCG) parser with a pre-specified map - ping between words or phrases and the matching branch- ing...agents communicating via rich language remain an open challenge. Toward this end, the central goal of the SUBTLE MURI project was to develop an...3451 Walnut Street , Suite P-221 Philadelphia, PA 19104 -6205 31-Aug-2014 ABSTRACT Final Report: SUBTLE: Situation Understanding Bot through Language
Full Text Available [First paragraph] Christopher Alexander's book, The Timeless Way of Building, is probably the most beautiful book on the notion of quality in observation and design that I have been reading since Robert Pirsig's (1974 Zen and the Art of Motorcycle Maintenance. It was published in 1979, when Alexander was a professor of architecture at the University of California, Berkeley, where I was at that time studying. Although I was aware of some of Alexander's famous articles such as "A city is not a tree" (Alexander, 1965, the book (Alexander, 1979 never quite made it to the top of my reading list. This remained so until recently, when I met a software developer who enthusiastically talked to me on a book he was currently reading, about the importance of understanding design patterns. He was talking about the very book I had failed to read during my Berkeley years and which, as I now discovered, has since become a cult book among computer programmers and information scientists, as well as in other fields of research. I decided it was time to read the book.
Lenti Boero, Daniela
Building a theory on extant species, as Ackermann et al. do, is a useful contribution to the field of language evolution. Here, I add another living model that might be of interest: human language ontogeny in the first year of life. A better knowledge of this phase might help in understanding two more topics among the "several building blocks of a comprehensive theory of the evolution of spoken language" indicated in their conclusion by Ackermann et al., that is, the foundation of the co-evolution of linguistic motor skills with the auditory skills underlying speech perception, and the possible phylogenetic interactions of protospeech production with referential capabilities.
This paper aims to cover the semiotic nature of language teaching methods, and their sample applications in the language classroom. The verbal and the non-verbal aspects of language teaching should not be kept separate since they are closely interrelated and interdependent. The use of signs, symbols and visual aids by the teachers help the enhancement of the learning capacity of the language learner both at cognitive and meta-cognitive levels as they listen and try to learn a foreign language...
In order to develop computer applications that successfully process natural language data (text and speech), one needs good models of the vocabulary and grammar of as many languages as possible. According to standard linguistic theory, words consist of morphemes, which are the smallest individually meaningful elements in a language. Since an immense number of word forms can be constructed by combining a limited set of morphemes, the capability of understanding and producing new word forms dep...
Langkopf, B.S.; Mallory, L.H.
A scientific data base, the Tuff Data Base, is being created at Sandia National Laboratories on the Cyber 170/855, using System 2000. It is being developed for use by scientists and engineers investigating the feasibility of locating a high-level radioactive waste repository in tuff (a type of volcanic rock) at Yucca Mountain on and adjacent to the Nevada Test Site. This project, the Nevada Nuclear Waste Storage Investigations (NNWSI) Project, is managed by the Nevada Operations Office of the US Department of Energy. A user-friendly interface, PRIMER, was developed that uses the Self-Contained Facility (SCF) command SUBMIT and System 2000 Natural Language functions and parametric strings that are schema resident. The interface was designed to: (1) allow users, with or without computer experience or keyboard skill, to sporadically access data in the Tuff Data Base; (2) produce retrieval capabilities for the user quickly; and (3) acquaint the users with the data in the Tuff Data Base. This paper gives a brief description of the Tuff Data Base Schema and the interface, PRIMER, which is written in Fortran V. 3 figures
Thibodeau, Paul H; Boroditsky, Lera
Metaphors pervade discussions of social issues like climate change, the economy, and crime. We ask how natural language metaphors shape the way people reason about such social issues. In previous work, we showed that describing crime metaphorically as a beast or a virus, led people to generate different solutions to a city's crime problem. In the current series of studies, instead of asking people to generate a solution on their own, we provided them with a selection of possible solutions and asked them to choose the best ones. We found that metaphors influenced people's reasoning even when they had a set of options available to compare and select among. These findings suggest that metaphors can influence not just what solution comes to mind first, but also which solution people think is best, even when given the opportunity to explicitly compare alternatives. Further, we tested whether participants were aware of the metaphor. We found that very few participants thought the metaphor played an important part in their decision. Further, participants who had no explicit memory of the metaphor were just as much affected by the metaphor as participants who were able to remember the metaphorical frame. These findings suggest that metaphors can act covertly in reasoning. Finally, we examined the role of political affiliation on reasoning about crime. The results confirm our previous findings that Republicans are more likely to generate enforcement and punishment solutions for dealing with crime, and are less swayed by metaphor than are Democrats or Independents.
language with a single deep neural network. We use deep recurrent nets (RNNs), which have recently demonstrated strong results for machine translation (MT...Donahue, Marcus Rohrbach, Raymond Mooney, and Kate Saenko. Translating videos to natural language using deep recurrent neural net - works. In NAACL, 2015...Natural Language Video Description using Deep Recurrent Neural Networks Subhashini Venugopalan University of Texas at Austin email@example.com
When we think of everyday language use, the first things that come to mind include colloquial conversations, reading and writing e-mails, sending text messages or reading a book. But can we study the brain basis of language as we use it in our daily lives? As a topic of study, the cognitive
Mason, D; Ewoldt, C
This position paper discusses how the tenets of Whole Language and Deaf Bilingual-Bicultural Education complement each other. It stresses that Whole Language is based on natural processes through which children can translate their constructs of personal experiences, observations, and perspectives into modes of communication that include written language and, in the present case, American Sign Language. The paper is based on two emphases: (a) Whole Language emphasizes a two-way teaching/learning process, teachers learning from children, and vice versa; and (b) Deaf Bilingual-Bicultural Education emphasizes American Sign Language as a language of instruction and builds on mutual respect for the similarities and differences in the sociocultural and socioeducational experiences and values of Deaf and hearing people. Both Whole Language and Deaf Bilingual-Bicultural Education attempt to authenticate curriculum by integrating Deaf persons' worldviews as part of educational experience.
Ward, R. D.
Presents a theoretical rationale for the idea that computer programs simulating written conversation, and using natural language, could be effective in language teaching and remediation, and reports empirical studies of its potential. Studies with 10- to 14-year-old language-impaired children are described, software is explained, and future…
An influential view of the nature of the language system is that of an evolved biological system in which a set of rules is combined with a lexicon that contains the words of the language together with a representation of their context. Alternative views, usually based on connectionist modeling, attempt to explain the structure of language on the basis of complex associative processes. Here, I put forward a third view that stresses experience-dependent structural development of the brain circuits supporting language as a core principle of the organization of the language system. In this view, embodied in a recent neuroconstructivist neural network of past tense development and processing, initial domain-general predispositions enable the development of functionally specialized brain structures through interactions between experience-dependent brain development and statistical learning in a structured environment. Together, these processes shape a biological adult language system that appears to separate into distinct mechanism for processing rules and exceptions, whereas in reality those subsystems co-develop and interact closely. This view puts experience-dependent brain development in response to a specific language environment at the heart of understanding not only language development but adult language processing as well. Copyright © 2016 Cognitive Science Society, Inc.
Dougherty, Ray C
This book's main goal is to show readers how to use the linguistic theory of Noam Chomsky, called Universal Grammar, to represent English, French, and German on a computer using the Prolog computer language. In so doing, it presents a follow-the-dots approach to natural language processing, linguistic theory, artificial intelligence, and expert systems. The basic idea is to introduce meaningful answers to significant problems involved in representing human language data on a computer. The book offers a hands-on approach to anyone who wishes to gain a perspective on natural language
Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, usin
N. M. Boychenko
Full Text Available Purpose. In order to consistently distinguish between violence, which is always primarily a destructive force, and the civilized use of force that involves constructive, creative goals, one should explore the main possible philosophical approaches to understand the nature of violence and try to give it a systematic outline. Methodology. This study uses a systematic approach to identify the internal relationship between different forms of violence and, accordingly, the counteraction against violence. Also, the author uses an axiology to identify the values that are the basis for distinguishing violence from its prototypes, as well as for the distinction between violence and coercion, as well as different types of coercion. Originality. This article presents significant clarifications on the classification of types of violence, in particular, it is clearly established that certain types of violence can not have ethical relevance, since they belong to the sphere of biology (expansion, aggression or social anthropology (cultural, institutional coercion. Actually violence or violence in the narrow sense implies the existence of will, consciousness and destructive purpose. Accordingly, counteraction against violence should include the formation of a certain non-violent type of will, non-violent culture and creative, constructive goals. This requires both personal effort and institutional support and the availability of appropriate moral traditions. Ethical theory is intended to clarify and systematize these efforts. In this sense, ethics is the core of practical philosophy. To the extent that the influence of ethics on changes in human culture and sociality in the counterfactual regime is increasing, one should also speak of the anthropological significance of ethics. Conclusions. From the socio-philosophical point of view, it is necessary to specify exactly which social institutions and in which constellation generate violence. The ethical aspect of
Full Text Available Suicide is the second leading cause of death among 25–34 year olds and the third leading cause of death among 15–25 year olds in the United States. In the Emergency Department, where suicidal patients often present, estimating the risk of repeated attempts is generally left to clinical judgment. This paper presents our second attempt to determine the role of computational algorithms in understanding a suicidal patient’s thoughts, as represented by suicide notes. We focus on developing methods of natural language processing that distinguish between genuine and elicited suicide notes. We hypothesize that machine learning algorithms can categorize suicide notes as well as mental health professionals and psychiatric physician trainees do. The data used are comprised of suicide notes from 33 suicide completers and matched to 33 elicited notes from healthy control group members. Eleven mental health professionals and 31 psychiatric trainees were asked to decide if a note was genuine or elicited. Their decisions were compared to nine different machine-learning algorithms. The results indicate that trainees accurately classified notes 49% of the time, mental health professionals accurately classified notes 63% of the time, and the best machine learning algorithm accurately classified the notes 78% of the time. This is an important step in developing an evidence-based predictor of repeated suicide attempts because it shows that natural language processing can aid in distinguishing between classes of suicidal notes.
Pestian, John; Nasrallah, Henry; Matykiewicz, Pawel; Bennett, Aurora; Leenaars, Antoon
Suicide is the second leading cause of death among 25-34 year olds and the third leading cause of death among 15-25 year olds in the United States. In the Emergency Department, where suicidal patients often present, estimating the risk of repeated attempts is generally left to clinical judgment. This paper presents our second attempt to determine the role of computational algorithms in understanding a suicidal patient's thoughts, as represented by suicide notes. We focus on developing methods of natural language processing that distinguish between genuine and elicited suicide notes. We hypothesize that machine learning algorithms can categorize suicide notes as well as mental health professionals and psychiatric physician trainees do. The data used are comprised of suicide notes from 33 suicide completers and matched to 33 elicited notes from healthy control group members. Eleven mental health professionals and 31 psychiatric trainees were asked to decide if a note was genuine or elicited. Their decisions were compared to nine different machine-learning algorithms. The results indicate that trainees accurately classified notes 49% of the time, mental health professionals accurately classified notes 63% of the time, and the best machine learning algorithm accurately classified the notes 78% of the time. This is an important step in developing an evidence-based predictor of repeated suicide attempts because it shows that natural language processing can aid in distinguishing between classes of suicidal notes.
Wong, Wing-Kwong; Yin, Sheng-Kai; Yang, Chang-Zhe
This paper presents a tool for drawing dynamic geometric figures by understanding the texts of geometry problems. With the tool, teachers and students can construct dynamic geometric figures on a web page by inputting a geometry problem in natural language. First we need to build the knowledge base for understanding geometry problems. With the…
Bender, Emily M
Many NLP tasks have at their core a subtask of extracting the dependencies-who did what to whom-from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual a
Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems brings humans and machines closer together by showing how linguistic complexities that confound the speech systems of today can be handled effectively by sophisticated natural-language technology. Some of the most vexing natural-language problems that are addressed in this book entail recognizing and processing idiomatic expressions, understanding metaphors, matching an anaphor correctly with its antecedent, performing word-sense disambiguation, and handling out-of-vocabulary words and phrases. This fourteen-chapter anthology consists of contributions from industry scientists and from academicians working at major universities in North America and Europe. They include researchers who have played a central role in DARPA-funded programs and developers who craft real-world solutions for corporations. These contributing authors analyze the role of natural language technology in the global marketplace; they explore the need f...
Prins, Robbert Paul
Wide-coverage natural language parsers are typically not very efficient. Finite-state techniques are less powerful, but offer the advantage of being very fast, and good at representing language locally. This dissertation constitutes empirical research into the construction and use of a finite-state
Full Text Available Development of information technologies is growing steadily. With the latest software technologies development and application of the methods of artificial intelligence and machine learning intelligence embededs in computers, the expectations are that in near future computers will be able to solve problems themselves like people do. Artificial intelligence emulates human behavior on computers. Rather than executing instructions one by one, as theyare programmed, machine learning employs prior experience/data that is used in the process of system’s training. In this state of the art paper, common methods in AI, such as machine learning, pattern recognition and the natural language processing (NLP are discussed. Also are given standard architecture of NLP processing system and the level thatisneeded for understanding NLP. Lastly the statistical NLP processing and multi-word expressions are described.
Second language (SL) teacher educators tirelessly teach others how to teach. But how often do we actually define teaching? Without explicit definitional activity on this fundamental concept in second language teaching (SLT), it remains implicit and intuitive--the opposite of clear, productive understanding. I therefore explore the question,…
Chai, Joyce; Horvath, Veronika; Nicolov, Nicolas; Stys, Margo; Kambhatla, Nanda; Zadrozny, Wlodek; Melville, Prem
With the emergence of electronic-commerce systems, successful information access on electroniccommerce web sites becomes essential. Menu-driven navigation and keyword search currently provided by most commercial sites have considerable limitations because they tend to overwhelm and frustrate users with lengthy, rigid, and ineffective interactions. To provide an efficient solution for information access, we have built the NATURAL language ASSISTANT (NLA), a web-based natural language dialog sy...
computers. ♦ Noam Chomsky , Aspects of the Theory of Syntax (Cambridge, Mass.: MIT Press, 1965). -A- One of the earliest attempts at Natural Language...of computers that a machine which understood natural languages was highly desirable. It also was evident from the work of Chomsky * and others that...20 years. All the interviewees were educated to the Ph.D. level and most had extensively published in AI literature. The interviewees were evenly
Full Text Available Recent mathematical and algorithmic results in the field of finite-state technology, as well the increase in computing power, have constructed the base for a new approach in natural language processing. However the task of creating an appropriate model that would describe the phenomena of the natural language is still to be achieved. ln this paper I'm presenting some notions related to the finite-state modelling of syntax and morphology.
Seah, Lay Hoon; Clarke, David John; Hart, Christina Eugene
This case study of a science lesson, on the topic thermal expansion, examines the language demands on students from an integrated science and language perspective. The data were generated during a sequence of 9 lessons on the topic of 'States of Matter' in a Grade 7 classroom (12-13 years old students). We identify the language demands by comparing students' writings with the scientific account of expansion that the teacher intended the students to learn. The comparison involved both content analysis and lexicogrammatical (LG) analysis. The framework of Systemic Functional Linguistics was adopted for the LG analysis. Our analysis reveals differences in the meaning and the way LG resources were employed between the students' writings and the scientific account. From these differences, we found the notion of condition-of-use for LG resources to be a significant aspect of the language that students need to appropriate in order to employ the language of school science appropriately. This notion potentially provides a means by which teachers could concurrently address the conceptual and representational demands of science learning. Finally, we reflect on how the complementary use of content analysis and LG analysis provides a way for integrating the science and language perspectives in order to understand the demands of learning science through language.
Mackie, Clare; Dockrell, Julie E
Children with specific language impairment (SLI) have associated difficulties in reading decoding and reading comprehension. To date, few research studies have examined the children's written language. The aim of the present study was to (a) evaluate the nature and extent of the children's difficulties with writing and (b) investigate the relationship between oral and written language. Eleven children with SLI were identified (mean age = 11 years) and were compared with a group of children matched for chronological age (CA; mean age = 11;2 [years;months]) and language age (LA; mean CA = 7;3). All groups completed standardized measures of language production, writing, and reading decoding. The writing assessment revealed that the SLI group wrote fewer words and produced proportionately more syntax errors than the CA group, but they did not differ on a measure of content of written language or on the proportion of spelling errors. The SLI group also produced proportionately more syntax errors than the LA group. The relationships among oral language, reading, and writing differed for the 3 groups. The nature and extent of the children's written language problems are considered in the context of difficulties with spoken language.
Full Text Available Imitation and language processing are closely connected. According to the Ease of Language Understanding (ELU model (Rönnberg et al., 2013 pre-existing mental representation of lexical items facilitates language understanding. Thus, imitation of manual gestures is likely to be enhanced by experience of sign language. We tested this by eliciting imitation of manual gestures from deaf and hard-of-hearing (DHH signing and hearing non-signing children at a similar level of language and cognitive development. We predicted that the DHH signing children would be better at imitating gestures lexicalized in their own sign language (Swedish Sign Language, SSL than unfamiliar British Sign Language (BSL signs, and that both groups would be better at imitating lexical signs (SSL and BSL than non-signs. We also predicted that the hearing non-signing children would perform worse than DHH signing children with all types of gestures the first time (T1 we elicited imitation, but that the performance gap between groups would be reduced when imitation was elicited a second time (T2. Finally, we predicted that imitation performance on both occasions would be associated with linguistic skills, especially in the manual modality. A split-plot repeated measures ANOVA demonstrated that DHH signers imitated manual gestures with greater precision than non-signing children when imitation was elicited the second but not the first time. Manual gestures were easier to imitate for both groups when they were lexicalized than when they were not; but there was no difference in performance between familiar and unfamiliar gestures. For both groups, language skills at the T1 predicted imitation at T2. Specifically, for DHH children, word reading skills, comprehension and phonological awareness of sign language predicted imitation at T2. For the hearing participants, language comprehension predicted imitation at T2, even after the effects of working memory capacity and motor skills
Holmer, Emil; Heimann, Mikael; Rudner, Mary
Imitation and language processing are closely connected. According to the Ease of Language Understanding (ELU) model (Rönnberg et al., 2013) pre-existing mental representation of lexical items facilitates language understanding. Thus, imitation of manual gestures is likely to be enhanced by experience of sign language. We tested this by eliciting imitation of manual gestures from deaf and hard-of-hearing (DHH) signing and hearing non-signing children at a similar level of language and cognitive development. We predicted that the DHH signing children would be better at imitating gestures lexicalized in their own sign language (Swedish Sign Language, SSL) than unfamiliar British Sign Language (BSL) signs, and that both groups would be better at imitating lexical signs (SSL and BSL) than non-signs. We also predicted that the hearing non-signing children would perform worse than DHH signing children with all types of gestures the first time (T1) we elicited imitation, but that the performance gap between groups would be reduced when imitation was elicited a second time (T2). Finally, we predicted that imitation performance on both occasions would be associated with linguistic skills, especially in the manual modality. A split-plot repeated measures ANOVA demonstrated that DHH signers imitated manual gestures with greater precision than non-signing children when imitation was elicited the second but not the first time. Manual gestures were easier to imitate for both groups when they were lexicalized than when they were not; but there was no difference in performance between familiar and unfamiliar gestures. For both groups, language skills at T1 predicted imitation at T2. Specifically, for DHH children, word reading skills, comprehension and phonological awareness of sign language predicted imitation at T2. For the hearing participants, language comprehension predicted imitation at T2, even after the effects of working memory capacity and motor skills were taken into
Using contemporary science, the paper builds on Wittgenstein’s views of human language. Rather than ascribing reality to inscription-like entities, it links embodiment with distributed cognition. The verbal or (quasi) technological aspect of language is traced to not action, but human specific...... interactivity. This species-specific form of sense-making sustains, among other things, using texts, making/construing phonetic gestures and thinking. Human action is thus grounded in appraisals or sense-saturated coordination. To illustrate interactivity at work, the paper focuses on a case study. Over 11 s......, a crime scene investigator infers that she is probably dealing with an inside job: she uses not words, but intelligent gaze. This connects professional expertise to circumstances and the feeling of thinking. It is suggested that, as for other species, human appraisal is based in synergies. However, since...
to circumvent a major misconception, if they fail to appreciate that natural selection is consequent on the variation's usefulness for the variant, not on the static or changing environmental conditions. For example, Darwin writes, “[A]ny variation, however slight and from whatever cause proceeding, if it be in any degree.
It was tried to show some decisive and essential points of the psychological analyses contained in the complex work of the philosopher Nietzsche. The extent of his knowledge of man and his changeability constitutes here the field of an understanding, "unmasking" psychology with a sociological-historical touch. The thorough, slow ("lento") study of the original sources on the part of the master of a "connaisseurship of the word" seems to be indispensable for any reader trying to occupy himself with Nietzsche in a work of his own and the questions arising therefrom.
Olive, Joseph P; McCary, John
This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program - The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation. The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research pro
Andreasen, Troels; Bulskov, Henrik; Jensen, Per Anker
to semantic querying. Our core natural logic proposal covers formal ontologies and generative extensions thereof. It further provides means of expressing general relationships between classes in an application. We discuss extensions of the core natural logic with various conservative as well as non-conservative...
Andreasen, Troels; Bulskov, Henrik; Jensen, Per Anker
to semantic querying. Our core natural logic proposal covers formal ontologies and generative extensions thereof. It further provides means of expressing general relationships between classes in an application. We discuss extensions of the core natural logic with various conservative as well as non...
Hiemstra, Djoerd; de Jong, Franciska M.G.
Traditionally, natural language processing techniques for information retrieval have always been studied outside the framework of formal models of information retrieval. In this article, we introduce a new formal model of information retrieval based on the application of statistical language models.
Widemann, David P. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Wang, Eric X. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Thiagarajan, Jayaraman J. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
We present a novel Recoverable Order-Preserving Embedding (ROPE) of natural language. ROPE maps natural language passages from sparse concatenated one-hot representations to distributed vector representations of predetermined fixed length. We use Euclidean distance to return search results that are both grammatically and semantically similar. ROPE is based on a series of random projections of distributed word embeddings. We show that our technique typically forms a dictionary with sufficient incoherence such that sparse recovery of the original text is possible. We then show how our embedding allows for efficient and meaningful natural search and retrieval on Microsoft’s COCO dataset and the IMDB Movie Review dataset.
Emmeche, Claus; Hoffmeyer, Jesper Normann
of a program, written in a formal language in the computer. Other versions of the semiotic or "nature-as-language" metaphor uses other formal or informal aspects of language to comprehend the specific structural relations in nature as explored by molecular and evolutionary biology. This intuitively appealing......The development of form in living organisms continues to challenge biological research. The concept of biological information encoded in the genetic program that controls development forms a major part of the semiotic metaphor in biology. Development is here seen in analogy to an execution...... complex of related ideas, which has a long history in the philosophy of nature and biology, is critically reviewed. The general nature of metaphor in science is considered, and different levels of metaphorical transfer of signification is distinguished. It is argued, that the metaphors may...
Karliner, Leah S; Auerbach, Andrew; Nápoles, Anna; Schillinger, Dean; Nickleach, Dana; Pérez-Stable, Eliseo J
Effective communication at hospital discharge is necessary for an optimal transition and to avoid adverse events. We investigated the association of a language barrier with patient understanding of discharge instructions. Spanish-speaking, Chinese-speaking, and English-speaking patients admitted to 2 urban hospitals between 2005 and 2008, comparing patient understanding of follow-up appointment type, and medication category and purpose between limited English-proficient (LEP) and English-proficient patients. Of the 308 patients, 203 were LEP. Rates of understanding were low overall for follow-up appointment type (56%) and the 3 medication outcomes (category 48%, purpose 55%, both 41%). In unadjusted analysis, LEP patients were less likely than English-proficient patients to know appointment type (50% vs. 66%; P=0.01), medication category (45% vs. 54%; P=0.05), and medication category and purpose combined (38% vs. 47%; P=0.04), but equally likely to know medication purpose alone. These results persisted in the adjusted models for medication outcomes: LEP patients had lower odds of understanding medication category (odds ratio 0.63; 95% confidence interval, 0.42-0.95); and category/purpose (odds ratio 0.59; 95% confidence interval, 0.39-0.89). Understanding of appointment type and medications after discharge was low, with LEP patients demonstrating worse understanding of medications. System interventions to improve communication at hospital discharge for all patients, and especially those with LEP, are needed.
Full Text Available It is generally accepted that there is not a single school of thought that is called social constructivism, and ideas and assumptions from various disciplines in different fields are being incorporated into the social constructivist understanding. In this paper, a Bakhtinian perspective of social constructivism on education and language learning is discussed and studies that have explored Bakhtinian concepts in education have been reviewed. It is recommended that examining the structure of social interaction in the classroom based on the Bakhtinian concepts discussed (i.e., dialogism, monologism, recitation can help us see the classrooms from a different perspective and provide insights that are not available from other perspectives.
Full Text Available This paper aims to cover the semiotic nature of language teaching methods, andtheir sample applications in the language classroom. The verbal and the non-verbalaspects of language teaching should not be kept separate since they are closelyinterrelated and interdependent. The use of signs, symbols and visual aids by theteachers help the enhancement of the learning capacity of the language learner both atcognitive and meta-cognitive levels as they listen and try to learn a foreign languagecomponent in the classroom.
music is not to be found in the notes. Gustav Mahler Our approach so far has only considered the user’s natural language command as a specification... Electronic Lexical Database. Language, Speech, and Communication. 1998. 2.1.1, 3.4  Dave Ferguson and Anthony Stentz. Field D*: An interpolation-based...and Brain Sciences, 1993. 3.1  Christian Landsiedel, Roderick De Nijs, Kolja Kuhnlenz, Dirk Wollherr, and Martin Buss. Route description
Researchers, motivated by the need to improve the efficiency of natural language processing tools to handle web-scale data, have recently arrived at models that remarkably match the expected features of human language processing under the Now-or-Never bottleneck framework. This provides additional support for said framework and highlights the research potential in the interaction between applied computational linguistics and cognitive science.
Névéol, Aurélie; Dalianis, Hercules; Velupillai, Sumithra; Savova, Guergana; Zweigenbaum, Pierre
Natural language processing applied to clinical text or aimed at a clinical outcome has been thriving in recent years. This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languages other than English. Recent studies are summarized to offer insights and outline opportunities in this area. We envision three groups of intended readers: (1) NLP researchers leveraging experience gained in other languages, (2) NLP researchers faced with establishing clinical text processing in a language other than English, and (3) clinical informatics researchers and practitioners looking for resources in their languages in order to apply NLP techniques and tools to clinical practice and/or investigation. We review work in clinical NLP in languages other than English. We classify these studies into three groups: (i) studies describing the development of new NLP systems or components de novo, (ii) studies describing the adaptation of NLP architectures developed for English to another language, and (iii) studies focusing on a particular clinical application. We show the advantages and drawbacks of each method, and highlight the appropriate application context. Finally, we identify major challenges and opportunities that will affect the impact of NLP on clinical practice and public health studies in a context that encompasses English as well as other languages.
Köseoglu, Pinar; Köksal, Mustafa Serdar
The purpose of this study was to investigate epistemological predictors of nature of science understandings of 281 prospective biology teachers surveyed using the Epistemological Beliefs Scale Regarding Science and the Nature of Science Scale. The findings on multiple linear regression showed that understandings about definition of science and…
Szymczak, Bartlomiej Antoni
The key objective of the research that has been carried out has been to establish theoretically sound connections between the following two areas: • Computational processing of texts in natural language by means of logical methods • Theories and methods for engineering of formal ontologies We have...... tried to establish a domain independent “ontological semantics” for relevant fragments of natural language. The purpose of this research is to develop methods and systems for taking advantage of formal ontologies for the purpose of extracting the meaning contents of texts. This functionality...... is desirable e.g. for future content–based search systems in contrast to today’s keyword based search systems (viz., Google) which rely chiefly on recognition of stated keywords in the targeted text. Logical methods were introduced into semantic theories for natural language already during the 60’s in what...
Guo, Danhuai; Cui, Weihong
In location determination based on natural language, it is common to find the location by describing relationship between the undetermined position and one or several determined position. That indicates that the uncertainty of location determination processing is derived from the one of natural language procedure, the one of spatial position description and the one of spatial relationship description. Most of current researches and regular GIS software take certainty as prerequisite and try to avoid uncertainty and its influence. The research reported in this paper is an attempt to create a new combing method of Artificial Intelligence (AI), Fuzzy set theory and spatial information science named Quickly Location Determination based on Geographic Keywords (QLDGK) to rise to the challenge of location searching technique based on natural language. QLDGK have two technical gists. The first one is geographic-keywords-library and special natural-language-separation-model-library that increases the language processing efficiency. The second one is fuzzy theory based definition of spatial relationship, spatial metric and spatial orientation that extends the searching scope and defines variant confidences on variant searching outcome. QLDGK takes consideration on both higher query efficiency and the lower omission rate. The above method has been proved workable and efficient by QLDGK prototype system which was tested by about 12000 emergency call reports from K-city, Southwest of China, and achieved the test result with 78% accuracy in highest confidence and 8% omitting ration.
Learning to rank refers to machine learning techniques for training a model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on its problems recently, and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, major approaches, theories, applications, and future work.The author begins by showing that various ranking problems in information retrieval and natural language processing can be formalized as tw
This paper introduces natural language expressions and expert's subjectivity to system reliability analysis. To this end, this paper defines a subjective measure of reliability and presents the method of the system reliability analysis using the measure. The subjective measure of reliability corresponds to natural language expressions of reliability estimation, which is represented by a fuzzy set defined on [0,1]. The presented method deals with the dependence among subsystems and employs parametrized operations of subjective measures of reliability which can reflect expert 's subjectivity towards the analyzed system. The analysis results are also expressed by linguistic terms. Finally this paper gives an example of the system reliability analysis by the presented method
de Boer, Bart; Gontier, N; VanBendegem, JP; Aerts, D
This paper describes the uses of computer models in studying the evolution of language. Language is a complex dynamic system that can be studied at the level of the individual and at the level of the population. Much of the dynamics of language evolution and language change occur because of the
Full Text Available There are some factors regarding which aspect of second language acquisition is affected by individual learner factors, age, learning style. aptitude, motivation, and personality. This research is about English language acquisition of fourth-year child by nature and nurture. The child acquired her second language acquisition at home and also in one of the courses in Jakarta. She schooled by her parents in order to be able to speak English well as a target language for her future time. The purpose of this paper is to see and examine individual learner difference especially in using English as a second language. This study is a library research and retrieved data collected, recorded, transcribed, and analyzed descriptively. The results can be concluded: the child is able to communicate well and also able to construct simple sentences, complex sentences, sentence statement, phrase questions, and explain something when her teacher asks her at school. She is able to communicate by making a simple sentence or compound sentence in well-form (two clauses or three clauses, even though she still not focus to use the past tense form and sometimes she forgets to put bound morpheme -s in third person singular but she can use turn-taking in her utterances. It is a very long process since the child does the second language acquisition. The family and teacher should participate and assist the child, the proven child can learn the first and the second language at the same time.
Anne E. Thessen
A computer can handle the volume but cannot make sense of the language. This paper reviews and discusses the use of natural language processing (NLP and machine-learning algorithms to extract information from systematic literature. NLP algorithms have been used for decades, but require special development for application in the biological realm due to the special nature of the language. Many tools exist for biological information extraction (cellular processes, taxonomic names, and morphological characters, but none have been applied life wide and most still require testing and development. Progress has been made in developing algorithms for automated annotation of taxonomic text, identification of taxonomic names in text, and extraction of morphological character information from taxonomic descriptions. This manuscript will briefly discuss the key steps in applying information extraction tools to enhance biodiversity science.
Scherrer, Yves; Rambow, Owen
This paper discusses work on data collection for Swiss German dialects taking into account the continuous nature of the dialect landscape, and proposes to integrate these data into natural language processing models. We present knowledge-based models for machine translation into any Swiss German dialect, for dialect identification, and for multi-dialectal parsing. In a dialect continuum, rules cannot be applied uniformly, but have restricted validity in well-defined geographic areas. Therefor...
Singh, G.; de By, R.A.
We study the problem of assigning a spatial extent to a text phrase such as central northern California', with the objective of allowing spatial interpretations of natural language, and consistency testing of complex utterances that involve multiple phrases from which spatial extent can be derived.
Castro Ferreira, Thiago; Paraboni, Ivandré
This paper discusses the issue of human variation in natural language referring expression generation. We introduce a model of content selection that takes speaker-dependent information into account to produce descriptions that closely resemble those produced by each individual, as seen in a number
Zeevat, H.; Zeevat, H.; Schmitz, H.-C.
Bayesian interpretation is a technique in signal processing and its application to natural language semantics and pragmatics (BNLSP from here on and BNLI if there is no particular emphasis on semantics and pragmatics) is basically an engineering decision. It is a cognitive science hypothesis that
It is argued that pessimistic assessments of the adequacy of artificial neural networks (ANNs) for natural language processing (NLP) on the grounds that they have a finite state architecture are unjustified, and that their adequacy in this regard is an empirical issue. First, arguments that counter standard objections to finite state NLP on the…
Schank, Roger C.; And Others
This paper presents the theoretical changes that have developed in Conceptual Dependency Theory and their ramifications in computer analysis of natural language. The major items of concern are: the elimination of reliance on "grammar rules" for parsing with the emphasis given to conceptual rule based parsing; the development of a…
Doszkocs, Tamas E.
The National Library of Medicine's Current Information Transfer in English public access online catalog offers unique subject search capabilities--natural-language query input, automatic medical subject headings display, closest match search strategy, ranked document output, dynamic end user feedback for search refinement. References, description…
Dadlez, Eva M.
Describes a natural language searching strategy for retrieving current material which has bearing on George Orwell's "1984," and identifies four main themes (technology, authoritarianism, press and psychological/linguistic implications of surveillance, political oppression) which have emerged from cross-database searches of the "Big…
In this dissertation, I examine the nature of object marking in American Sign Language (ASL). I investigate object marking by means of directionality (the movement of the verb towards a certain location in signing space) and by means of handling classifiers (certain handshapes accompanying the verb). I propose that object marking in ASL is…
Fang, Yuxing; Chen, Quanjing; Lingnau, Angelika; Han, Zaizhu; Bi, Yanchao
The observation of other people's actions recruits a network of areas including the inferior frontal gyrus (IFG), the inferior parietal lobule (IPL), and posterior middle temporal gyrus (pMTG). These regions have been shown to be activated through both visual and auditory inputs. Intriguingly, previous studies found no engagement of IFG and IPL for deaf participants during non-linguistic action observation, leading to the proposal that auditory experience or sign language usage might shape the functionality of these areas. To understand which variables induce plastic changes in areas recruited during the processing of other people's actions, we examined the effects of tasks (action understanding and passive viewing) and effectors (arm actions vs. leg actions), as well as sign language experience in a group of 12 congenitally deaf signers and 13 hearing participants. In Experiment 1, we found a stronger activation during an action recognition task in comparison to a low-level visual control task in IFG, IPL and pMTG in both deaf signers and hearing individuals, but no effect of auditory or sign language experience. In Experiment 2, we replicated the results of the first experiment using a passive viewing task. Together, our results provide robust evidence demonstrating that the response obtained in IFG, IPL, and pMTG during action recognition and passive viewing is not affected by auditory or sign language experience, adding further support for the supra-modal nature of these regions.
Scott, Jessica; Hinton, Christina
The rise of globalisation makes language competencies more valuable, both at individual and societal levels. This book examines the links between globalisation and the way we teach and learn languages. It begins by asking why some individuals are more successful than others at learning non-native languages, and why some education systems, or countries, are more successful than others at teaching languages. The book comprises chapters by different authors on the subject of language learning. There are chapters on the role of motivation; the way that languages, cultures and identities are interc
Taumoepeau, Mele; Ruffman, Ted
This study assessed the relation between mother mental state language and child desire language and emotion understanding in 15--24-month-olds. At both times point, mothers described pictures to their infants and mother talk was coded for mental and nonmental state language. Children were administered 2 emotion understanding tasks and their mental…
Full Text Available Neural networks have long been used to study linguistic phenomena spanning the domains of phonology, morphology, syntax, and semantics. Of these domains, semantics is somewhat unique in that there is little clarity concerning what a model needs to be able to do in order to provide an account of how the meanings of complex linguistic expressions, such as sentences, are understood. We argue that one thing such models need to be able to do is generate predictions about which further sentences are likely to follow from a given sentence; these define the sentence's “inferential role.” We then show that it is possible to train a tree-structured neural network model to generate very simple examples of such inferential roles using the recently released Stanford Natural Language Inference (SNLI dataset. On an empirical front, we evaluate the performance of this model by reporting entailment prediction accuracies on a set of test sentences not present in the training data. We also report the results of a simple study that compares human plausibility ratings for both human-generated and model-generated entailments for a random selection of sentences in this test set. On a more theoretical front, we argue in favor of a revision to some common assumptions about semantics: understanding a linguistic expression is not only a matter of mapping it onto a representation that somehow constitutes its meaning; rather, understanding a linguistic expression is mainly a matter of being able to draw certain inferences. Inference should accordingly be at the core of any model of semantic cognition.
Kleb, William L.; Thompson, Richard A.; Johnston, Christopher O.
To document model parameter uncertainties and to automate sensitivity analyses for numerical simulation codes, a natural-language-based method to specify tolerances has been developed. With this new method, uncertainties are expressed in a natural manner, i.e., as one would on an engineering drawing, namely, 5.25 +/- 0.01. This approach is robust and readily adapted to various application domains because it does not rely on parsing the particular structure of input file formats. Instead, tolerances of a standard format are added to existing fields within an input file. As a demonstration of the power of this simple, natural language approach, a Monte Carlo sensitivity analysis is performed for three disparate simulation codes: fluid dynamics (LAURA), radiation (HARA), and ablation (FIAT). Effort required to harness each code for sensitivity analysis was recorded to demonstrate the generality and flexibility of this new approach.
Nikora, Allen P.
This viewgraph presentation reviews the rationale of the program to transform natural language specifications into formal notation.Specifically, automate generation of Linear Temporal Logic (LTL)correctness properties from natural language temporal specifications. There are several reasons for this approach (1) Model-based techniques becoming more widely accepted, (2) Analytical verification techniques (e.g., model checking, theorem proving) significantly more effective at detecting types of specification design errors (e.g., race conditions, deadlock) than manual inspection, (3) Many requirements still written in natural language, which results in a high learning curve for specification languages, associated tools and increased schedule and budget pressure on projects reduce training opportunities for engineers, and (4) Formulation of correctness properties for system models can be a difficult problem. This has relevance to NASA in that it would simplify development of formal correctness properties, lead to more widespread use of model-based specification, design techniques, assist in earlier identification of defects and reduce residual defect content for space mission software systems. The presentation also discusses: potential applications, accomplishments and/or technological transfer potential and the next steps.
Landmark, Anne Marie Dalby; Svennevig, Jan; Gerwing, Jennifer; Gulbrandsen, Pål
This study aims to explicate efforts for realizing patient-centeredness (PCC) and involvement (SDM) in a difficult decision-making situation. It investigates what communicative strategies a physician used and the immediate, observable consequences for patient participation. From a corpus of videotaped hospital encounters, one case in which the physician and patient used Norwegian as lingua franca was selected for analysis using conversation analysis (CA). Secondary data were measures of PCC and SDM. Though the physician did extensive interactional work to secure the patient's understanding and acceptance of a treatment recommendation, his persistent attempts did not succeed in generating the patient's participation. In ratings of PCC and SDM, this case scored well above average. Despite the fact that this encounter displays some of the 'best actual practice' of PCC and SDM within the corpus, our analysis of the interaction shows why the strategies were insufficient in the context of a language barrier and possible disagreement. When facing problems of understanding, agreement and participation in treatment decision-making, relatively good patient centered skills may not suffice. Knowledge about the interactional realization of key activities is needed for developing training targeted at overcoming such challenges. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Full Text Available Intelligent interface, to enhance efficient interactions between user and databases, is the need of the database applications. Databases must be intelligent enough to make the accessibility faster. However, not every user familiar with the Structured Query Language (SQL queries as they may not aware of structure of the database and they thus require to learn SQL. So, non-expert users need a system to interact with relational databases in their natural language such as English. For this, Database Management System (DBMS must have an ability to understand Natural Language (NL. In this research, an intelligent interface is developed using semantic matching technique which translates natural language query to SQL using set of production rules and data dictionary. The data dictionary consists of semantics sets for relations and attributes. A series of steps like lower case conversion, tokenization, speech tagging, database element and SQL element extraction is used to convert Natural Language Query (NLQ to SQL Query. The transformed query is executed and the results are obtained by the user. Intelligent Interface is the need of database applications to enhance efficient interaction between user and DBMS.
Chiesa, Bruno Della, Ed.; Scott, Jessica, Ed.; Hinton, Christina, Ed.
The rise of globalisation makes language competencies more valuable, both at individual and societal levels. This book examines the links between globalisation and the way we teach and learn languages. It begins by asking why some individuals are more successful than others at learning non-native languages, and why some education systems, or…
In a globalised world with different languages and cultures, learning foreign languages is a necessity for ensuring international communication and understanding. Considering the fact that language and culture are inseparable, learning a language also involves learning the associated culture. The close interdependency between culture and language can be used to contribute to social cohesion and stability, in areas where cultural bias, political and religious hostility is prevalent. Therefore,...
Full Text Available This paper shows how fieldwork data can be managed using the program Toolbox together with the Natural Language Toolkit (NLTK for the Python programming language. It provides background information about Toolbox and describes how it can be downloaded and installed. The basic functionality of the program for lexicons and texts is described, and its strengths and weaknesses are reviewed. Its underlying data format is briefly discussed, and Toolbox processing capabilities of NLTK are introduced, showing ways in which it can be used to extend the functionality of Toolbox. This is illustrated with a few simple scripts that demonstrate basic data management tasks relevant to language documentation, such as printing out the contents of a lexicon as HTML.
Students may use the technical engineering terms without knowing what these words mean. This creates a language barrier in engineering that influences student learning. Previous research has been conducted to characterize the difference between colloquial and scientific language. Since this research had not yet been applied explicitly to engineering, conclusions from the area of science education were used instead. Various researchers outlined strategies for helping students acquire scientific language. However, few examined and quantified the relationship it had on student learning. A systemic functional linguistics framework was adopted for this dissertation which is a framework that has not previously been used in engineering education research. This study investigated how engineering language proficiency influenced conceptual understanding of introductory materials science and engineering concepts. To answer the research questions about engineering language proficiency, a convenience sample of forty-one undergraduate students in an introductory materials science and engineering course was used. All data collected was integrated with the course. Measures included the Materials Concept Inventory, a written engineering design task, and group observations. Both systemic functional linguistics and mental models frameworks were utilized to interpret data and guide analysis. A series of regression analyses were conducted to determine if engineering language proficiency predicts group engineering term use, if conceptual understanding predicts group engineering term use, and if conceptual understanding predicts engineering language proficiency. Engineering academic language proficiency was found to be strongly linked to conceptual understanding in the context of introductory materials engineering courses. As the semester progressed, this relationship became even stronger. The more engineering concepts students are expected to learn, the more important it is that they
Gaucherel, Cédric; Boudon, Frédéric; Houet, Thomas; Castets, Mathieu; Godin, Christophe
Patchy landscapes driven by human decisions and/or natural forces are still a challenge to be understood and modelled. No attempt has been made up to now to describe them by a coherent framework and to formalize landscape changing rules. Overcoming this lacuna was our first objective here, and this was largely based on the notion of Rewriting Systems, also called Formal Grammars. We used complicated scenarios of agricultural dynamics to model landscapes and to write their corresponding driving rule equations. Our second objective was to illustrate the relevance of this landscape language concept for landscape modelling through various grassland managements, with the final aim to assess their respective impacts on biological conservation. For this purpose, we made the assumptions that a higher grassland appearance frequency and higher land cover connectivity are favourable to species conservation. Ecological results revealed that dairy and beef livestock production systems are more favourable to wild species than is hog farming, although in different ways. Methodological results allowed us to efficiently model and formalize these landscape dynamics. This study demonstrates the applicability of the Rewriting System framework to the modelling of agricultural landscapes and, hopefully, to other patchy landscapes. The newly defined grammar is able to explain changes that are neither necessarily local nor Markovian, and opens a way to analytical modelling of landscape dynamics. PMID:23049935
This dissertation focuses on developing and evaluating hybrid approaches for analyzing free-form text in the medical domain. This research draws on natural language processing (NLP) techniques that are used to parse and extract concepts based on a controlled vocabulary. Once important concepts are extracted, additional machine learning algorithms,…
Nastassja A. Lewinski
Full Text Available Literature in the field of nanotechnology is exponentially increasing with more and more engineered nanomaterials being created, characterized, and tested for performance and safety. With the deluge of published data, there is a need for natural language processing approaches to semi-automate the cataloguing of engineered nanomaterials and their associated physico-chemical properties, performance, exposure scenarios, and biological effects. In this paper, we review the different informatics methods that have been applied to patent mining, nanomaterial/device characterization, nanomedicine, and environmental risk assessment. Nine natural language processing (NLP-based tools were identified: NanoPort, NanoMapper, TechPerceptor, a Text Mining Framework, a Nanodevice Analyzer, a Clinical Trial Document Classifier, Nanotoxicity Searcher, NanoSifter, and NEIMiner. We conclude with recommendations for sharing NLP-related tools through online repositories to broaden participation in nanoinformatics.
The conclusiveness is investigated using recognition processes and one-one correspondence between expressions of a natural language and graphs representing events. The graphs, as conceived in psycholinguistics, are obtained as a result of perception processes. It is possible to generate and process the graphs automatically, using computers and then to convert the resulting graphs into expressions of a natural language. Correctness and conclusiveness of the graphs and sentences are investigated using the fundamental condition for events representation processes. Some consequences of the conclusiveness are discussed, e.g. undecidability of arithmetic, human brain assymetry, correctness of statistical calculations and operations research. It is suggested that the group theory should be imposed on mathematical models of any real system. Proof of the fundamental condition is also presented. 14 references.
ELEMENT. PROJECT. TASKN Artificial Inteligence Laboratory A1A4WR NTumet 0) 545 Technology Square Cambridge, MA 02139 Ln *t- CONTROLLING OFFICE NAME AND...RO-RI95 922 EXPLOITING LEXICAL REGULARITIES IN DESIGNING NATURAL 1/1 LANGUAGE SYSTENS(U) MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE...oes.ary and ftdou.Ip hr Nl wow" L,2This paper presents the lexical component of the START Question Answering system developed at the MIT Artificial
The current surge of interest in search and comparison tasks in natural language processing has brought with it a focus on vector space approaches and vector space dimensionality reduction techniques. Presenting data as points in hyperspace provides opportunities to use a variety of welldeveloped tools pertinent to this representation. Dimensionality reduction allows data to be compressed and generalised. Eigen decomposition and related algorithms are one category of approaches to dimensional...
Ghosh, Shalini; Elenius, Daniel; Li, Wenchao; Lincoln, Patrick; Shankar, Natarajan; Steiner, Wilfried
Requirements are informal and semi-formal descriptions of the expected behavior of a complex system from the viewpoints of its stakeholders (customers, users, operators, designers, and engineers). However, for the purpose of design, testing, and verification for critical systems, we can transform requirements into formal models that can be analyzed automatically. ARSENAL is a framework and methodology for systematically transforming natural language (NL) requirements into analyzable formal mo...
Full Text Available In a globalised world with different languages and cultures, learning foreign languages is a necessity for ensuring international communication and understanding. Considering the fact that language and culture are inseparable, learning a language also involves learning the associated culture. The close interdependency between culture and language can be used to contribute to social cohesion and stability, in areas where cultural bias, political and religious hostility is prevalent. Therefore, language teaching practices can be used to eradicate stereotypes and to promote intercultural understanding, universally shared values, which will serve to the peaceful coexistence of different people in the world. Movies chosen appropriately for this purpose, with a rich source of cultural events and varying patterns of human behaviors, seem to be an appropriate tool to enhance the understanding of cultural diversity. This study describes the rationale, ways and activities of using movies in language classrooms as a means of developing the understanding for cultural diversity.
Nash-Webber, Bonnie; Reiter, Raymond
This paper describes a computational approach to certain problems of anaphora in natural language and argues in favor of formal meaning representation languages (MRLs) for natural language. After presenting arguments in favor of formal meaning representation languages, appropriate MRLs are discussed. Minimal requirements include provisions for…
Murphy, Kimberly A.; Justice, Laura M.; O'Connell, Ann A.; Pentimonti, Jill M.; Kaderavek, Joan N.
Purpose: The purpose of this study was to retrospectively examine the preschool language and early literacy skills of kindergarten good and poor readers, and to determine the extent to which these skills predict reading status. Method: Participants were 136 children with language impairment enrolled in early childhood special education classrooms.…
Kiran, Swathi; Iakupova, Regina
The goal of this study was to address the relationship between language proficiency, language impairment and rehabilitation in bilingual Russian-English individuals with aphasia. As a first step, we examined two Russian-English patients' pre-stroke language proficiency using a detailed and comprehensive language use and history questionnaire and…
Stickland, Michael G.; Conrad, Gregory N.; Eaton, Shelley M.
Natural language processing-based knowledge management software, traditionally developed for security organizations, is now becoming commercially available. An informal survey was conducted to discover and examine current NLP and related technologies and potential applications for information retrieval, information extraction, summarization, categorization, terminology management, link analysis, and visualization for possible implementation at Sandia National Laboratories. This report documents our current understanding of the technologies, lists software vendors and their products, and identifies potential applications of these technologies.
Full Text Available In the didactics of the Slovenian language as the first language the term language awareness is related primarily to the identity function of standard language as the most important element of the national and cultural awareness, while the conception of language awareness, based on the functional linguistics, has been put forward only in the last decade. Therefore, the main issue is how to understand language and linguistic cultural awareness in a society which is traditionally considered “culturally monolithic”, and how they should be dealt with in the first language teaching. In attempt to find the answer, first main features of both the language and linguistic cultural awareness are presented: their levels, components and emphasized language functions. It is evident that a person’s linguistic activity and his/her linguistic identification are inseparable. Because of this, the development of language and cultural awareness in the context of two models of first language teaching is discussed later on. In the model aimed at the development of functional communicative competence they are developed optionally and unrelated to each other. Only the model which aims at critical communicative competence allows developing them closely related to each other and to critical thinking.
Moon, Katie; Blackman, Deborah
Natural scientists are increasingly interested in social research because they recognize that conservation problems are commonly social problems. Interpreting social research, however, requires at least a basic understanding of the philosophical principles and theoretical assumptions of the discipline, which are embedded in the design of social research. Natural scientists who engage in social science but are unfamiliar with these principles and assumptions can misinterpret their results. We developed a guide to assist natural scientists in understanding the philosophical basis of social science to support the meaningful interpretation of social research outcomes. The 3 fundamental elements of research are ontology, what exists in the human world that researchers can acquire knowledge about; epistemology, how knowledge is created; and philosophical perspective, the philosophical orientation of the researcher that guides her or his action. Many elements of the guide also apply to the natural sciences. Natural scientists can use the guide to assist them in interpreting social science research to determine how the ontological position of the researcher can influence the nature of the research; how the epistemological position can be used to support the legitimacy of different types of knowledge; and how philosophical perspective can shape the researcher's choice of methods and affect interpretation, communication, and application of results. The use of this guide can also support and promote the effective integration of the natural and social sciences to generate more insightful and relevant conservation research outcomes. © 2014 Society for Conservation Biology.
Cai, Tianrun; Giannopoulos, Andreas A.; Yu, Sheng; Kelil, Tatiana; Ripley, Beth; Kumamaru, Kanako K.; Rybicki, Frank J.
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. However, there are significant challenges as well, largely due to the heterogeneity of how these data are formatted. Indeed, although there is movement toward structured reporting in radiology (ie, hierarchically itemized reporting with use of standardized terminology), the majority of radiology reports remain unstructured and use free-form language. To effectively “mine” these large datasets for hypothesis testing, a robust strategy for extracting the necessary information is needed. Manual extraction of information is a time-consuming and often unmanageable task. “Intelligent” search engines that instead rely on natural language processing (NLP), a computer-based approach to analyzing free-form text or speech, can be used to automate this data mining task. The overall goal of NLP is to translate natural human language into a structured format (ie, a fixed collection of elements), each with a standardized set of choices for its value, that is easily manipulated by computer programs to (among other things) order into subcategories or query for the presence or absence of a finding. The authors review the fundamentals of NLP and describe various techniques that constitute NLP in radiology, along with some key applications. ©RSNA, 2016 PMID:26761536
Cai, Tianrun; Giannopoulos, Andreas A; Yu, Sheng; Kelil, Tatiana; Ripley, Beth; Kumamaru, Kanako K; Rybicki, Frank J; Mitsouras, Dimitrios
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. However, there are significant challenges as well, largely due to the heterogeneity of how these data are formatted. Indeed, although there is movement toward structured reporting in radiology (ie, hierarchically itemized reporting with use of standardized terminology), the majority of radiology reports remain unstructured and use free-form language. To effectively "mine" these large datasets for hypothesis testing, a robust strategy for extracting the necessary information is needed. Manual extraction of information is a time-consuming and often unmanageable task. "Intelligent" search engines that instead rely on natural language processing (NLP), a computer-based approach to analyzing free-form text or speech, can be used to automate this data mining task. The overall goal of NLP is to translate natural human language into a structured format (ie, a fixed collection of elements), each with a standardized set of choices for its value, that is easily manipulated by computer programs to (among other things) order into subcategories or query for the presence or absence of a finding. The authors review the fundamentals of NLP and describe various techniques that constitute NLP in radiology, along with some key applications. ©RSNA, 2016.
Gogolin, Sarah; Krüger, Dirk
Students' understanding of models in science has been subject to a number of investigations. The instruments the researchers used are suitable for educational research but, due to their complexity, cannot be employed directly by teachers. This article presents forced choice (FC) tasks, which, assembled as a diagnostic instrument, are supposed to measure students' understanding of the nature of models efficiently, while being sensitive enough to detect differences between individuals. In order to evaluate if the diagnostic instrument is suitable for its intended use, we propose an approach that complies with the demand to integrate students' responses to the tasks into the validation process. Evidence for validity was gathered based on relations to other variables and on students' response processes. Students' understanding of the nature of models was assessed using three methods: FC tasks, open-ended tasks and interviews ( N = 448). Furthermore, concurrent think-aloud protocols ( N = 30) were performed. The results suggest that the method and the age of the students have an effect on their understanding of the nature of models. A good understanding of the FC tasks as well as a convergence in the findings across the three methods was documented for grades eleven and twelve. This indicates that teachers can use the diagnostic instrument for an efficient and, at the same time, valid diagnosis for this group. Finally, the findings of this article may provide a possible explanation for alternative findings from previous studies as a result of specific methods that were used.
Maurice H. P. M. van Putten
Full Text Available We consider the rate R and variance σ 2 of Shannon information in snippets of text based on word frequencies in the natural language. We empirically identify Kolmogorov’s scaling law in σ 2 ∝ k - 1 . 66 ± 0 . 12 (95% c.l. as a function of k = 1 / N measured by word count N. This result highlights a potential association of information flow in snippets, analogous to energy cascade in turbulent eddies in fluids at high Reynolds numbers. We propose R and σ 2 as robust utility functions for objective ranking of concordances in efficient search for maximal information seamlessly across different languages and as a starting point for artificial attention.
S. K. Kostiuchkov
Full Text Available This paper examines the position of the biopolitical nature of man as a biosocial being given supplies of both the two spheres of life – natural, biological and social. The necessity of understanding of human nature, which by definition are bio-social importance of the approach to the definition of man as an integral, binary-konnotovanoyi of the «social individual – a species» which is characterized by symmetrical opposition – upposition social and biological. It was found that the main task of modern political science, and in particular bio-political studies presented appeals to rethink the political picture of the world in order to predict the development of a new order or a new chaos. Understanding the formation of a new global civilization worldview is today one of the most important problems, which is connected with the main problem of the modern world – the task of preserving life on the planet. It is concluded that the contradictions of human nature – between the biological and the social, physical and spiritual, universal and the particular, natural and artificial, rational and emotional – in today’s conditions are extremely sharp. The said situation requires more in-depth scientific analysis of human nature, the study of the structural level as human biosocial system.
Rapisardi, Elena; Di Franco, Sabina; Giardino, Marco
not a unique meaning: e.g. Mercury could stand for the Roman god, the metallic element, the planet, or Freddy the singer. Similarly the word «alert»: in the common language has a certain meaning, whilst in the civil protection framework includes regulations, responsibilities and procedures. The NHW is intended as a collaborative virtual source with validated information on geosciences to support a common understanding of natural hazards, risks and civil protection. The NHW aims to become a point of reference both for acknowledged practitioners, who will share their expertise and data, and for citizens, civil servants, media representatives, and students allowed to comment and contribute to the scientifically validated content. The NHW is a simple tool to support information and communication on natural hazards and civil protection at all levels and would set up a shared and common knowledge. Moreover, NHW could represent the first step of a further challenging programme: through the power of «linked data» NHW could develop and contribute first to a natural hazard semantic, then to a «semantic disaster resilience».
Burk, Robin K.
Computational natural language understanding and generation have been a goal of artificial intelligence since McCarthy, Minsky, Rochester and Shannon first proposed to spend the summer of 1956 studying this and related problems. Although statistical approaches dominate current natural language applications, two current research trends bring…
been adequately studied in the past. One of these is the need for situation dependent interpretation of linguistic devices such as deixis and... deixis involves such references to things that have not been said, but are present in some way in the non-linguistic context of the conversation (e.g...far fron solved), whereas deixis of the kind that occurs in the display context is considerably less well understood. The resolution of both deictic
tte rn E xa m pl e c...in th e ab ov e pa tte rn s) in := P P /N P 1 : L O C A T IO N : λ f .f r : λ g .λ f .λ x .∃ y .f (x ) ∧ g (y ) ∧ r (x ,y ) (N P 1 \\N P 1 )/ N P 2...kn ow le dg e ba se su ch th at c( e) an d r( e 1 ,e 2 ). D ep en de nc y pa rs e pa tte rn s ar e sp ec ifi ed us in g di re ct ed pa rs e tr ee
S / ALEKSEY PANASYUK MICHAEL J. WESSING Work Unit Manager Deputy Chief, Information Intelligence Systems & Analysis Division Information...background knowledge, including NELL’s KB, to achieve improvements over existing methods, • We developed a system for joint extraction of events and...entities within a document. This Bayesian approach substantially outperforms other state-of-the-art methods for event extraction, • We explored a
Chandarana, Meghan; Meszaros, Erica L.; Trujillo, Anna; Allen, B. Danette
With the increasing presence of unmanned aerial vehicles (UAVs) in everyday environments, the user base of these powerful and potentially intelligent machines is expanding beyond exclusively highly trained vehicle operators to include non-expert system users. Scientists seeking to augment costly and often inflexible methods of data collection historically used are turning towards lower cost and reconfigurable UAVs. These new users require more intuitive and natural methods for UAV mission planning. This paper explores two natural language interfaces - gesture and speech - for UAV flight path generation through individual user studies. Subjects who participated in the user studies also used a mouse-based interface for a baseline comparison. Each interface allowed the user to build flight paths from a library of twelve individual trajectory segments. Individual user studies evaluated performance, efficacy, and ease-of-use of each interface using background surveys, subjective questionnaires, and observations on time and correctness. Analysis indicates that natural language interfaces are promising alternatives to traditional interfaces. The user study data collected on the efficacy and potential of each interface will be used to inform future intuitive UAV interface design for non-expert users.
Bochkarev, Vladimir V; Lerner, Eduard Yu; Shevlyakova, Anna V
This paper is devoted to verifying of the empirical Zipf and Hips laws in natural languages using Google Books Ngram corpus data. The connection between the Zipf and Heaps law which predicts the power dependence of the vocabulary size on the text size is discussed. In fact, the Heaps exponent in this dependence varies with the increasing of the text corpus. To explain it, the obtained results are compared with the probability model of text generation. Quasi-periodic variations with characteristic time periods of 60-100 years were also found
Wray, Tim; Eklund, Peter
CollectionWeb is a framework that uses Formal Concept Analysis (FCA) to link contextually related objects within museum collections. These connections are used to drive a number of user interactions that are intended to promote exploration and discovery. The idea is based on museological perspect...... narratives based on conceptual pathways. The framework has been applied to a number of user facing applications and provides insights on how FCA and natural language pipelines can be used to provide contextual, linked navigation within museum collections....
Vu, Thanh; Nguyen, Dat Quoc; Nguyen, Dai Quoc; Dras, Mark; Johnson, Mark
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NLP annotation pipeline for Vietnamese. Our VnCoreNLP supports key natural language processing (NLP) tasks including word segmentation, part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing, and obtains state-of-the-art (SOTA) results for these tasks. We release VnCoreNLP to provide rich linguistic annotations to facilitate research work on Vietnamese NLP. Our VnCoreNLP is open-source under GPL...
Pons, Francisco; Lawson, J.: Harris, P.; Rosnay, M. de
Over the last two decades, it has been established that children's emotion understanding changes as they develop. Recent studies have also begun to address individual differences in children's emotion understanding. The first goal of this study was to examine the development of these individual...... differences across a wide age range with a test assessing nine different components of emotion understanding. The second goal was to examine the relation between language ability and individual differences in emotion understanding. Eighty children ranging in age from 4 to 11 years were tested. Children...... displayed a clear improvement with age in both their emotion understanding and language ability. In each age group, there were clear individual differences in emotion understanding and language ability. Age and language ability together explained 72% of emotion understanding variance; 20% of this variance...
9781782421252.3.329 Copyright © 2014 European Federation of Corrosion . Published by Elsevier Ltd. All rights reserved. Understanding marine biocorrosion...many years there has been a debate over the preferred laboratory medium for studying marine corrosion , i.e., natural or artifi cial seawater (Dexter...study of microbiologically infl uenced marine corrosion (MIMC) and the consideration of nutrients for microorganisms. Recent MIMC investigations have
Machineski, Gicelle Galvan; Schneider, Jacó Fernando; Bastos, Carmen Célia Barradas Correia
This study aimed understanding the woman's language during the post-partum period as to her perceptions of her body language. This study was based in the work of Maurice Merleau-Pont. Ten women living in Cascavel, State of Parand, Brazil, were interviewed from February to May 2005. This study allowed the understanding of the meaning that the woman gives to her existence in the post childbirth period. This study may support training of health professionals in terms of understanding how women experience the post-partum period, thereby allowing better care of these patients.
Wagner, Jason Paul; Wulf, Douglas J.
Written Corrective Feedback (WCF) is used extensively in second-language (L2) writing classrooms despite controversy over its effectiveness. This study examines indirect WCF, an instructional procedure that flags L2 students' errors with editing symbols that guide their corrections. WCF practitioners assume that this guidance will lead to…
Measures aimed at procedural fairness address conduct during the bargaining process and generally aim at ensuring transparency. Transparency in relation to the terms of a contract relates to whether the terms of the contract terms accessible, in clear language, well-structured, and cross-referenced, with prominence being ...
Sondag, Tyler; Pokorny, Kian L.; Rajan, Hridesh
Students in all areas of computing require knowledge of the computing device including software implementation at the machine level. Several courses in computer science curricula address these low-level details such as computer architecture and assembly languages. For such courses, there are advantages to studying real architectures instead of…
Thompson, Gregory L.
Given the ever-growing number of Spanish heritage learners in both universities and colleges, the need has continued to grow for the development of placement exams that accurately measure language ability, are simple to evaluate, and are easy to administer to large numbers of students. This article analyzes the implementation of a placement exam…
Le Bigot, Ludovic; Terrier, Patrice; Jamet, Eric; Botherel, Valerie; Rouet, Jean-Francois
The aim of the study was to determine the influence of textual feedback on the content and outcome of spoken interaction with a natural language dialogue system. More specifically, the assumption that textual feedback could disrupt spoken interaction was tested in a human-computer dialogue situation. In total, 48 adult participants, familiar with the system, had to find restaurants based on simple or difficult scenarios using a real natural language service system in a speech-only (phone), speech plus textual dialogue history (multimodal) or text-only (web) modality. The linguistic contents of the dialogues differed as a function of modality, but were similar whether the textual feedback was included in the spoken condition or not. These results add to burgeoning research efforts on multimodal feedback, in suggesting that textual feedback may have little or no detrimental effect on information searching with a real system. STATEMENT OF RELEVANCE: The results suggest that adding textual feedback to interfaces for human-computer dialogue could enhance spoken interaction rather than create interference. The literature currently suggests that adding textual feedback to tasks that depend on the visual sense benefits human-computer interaction. The addition of textual output when the spoken modality is heavily taxed by the task was investigated.
Pons, Ewoud; Braun, Loes M M; Hunink, M G Myriam; Kors, Jan A
Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology reports are stored for communication and documentation of diagnostic imaging, harnessing their potential requires efficient and automated information extraction: they exist mainly as free-text clinical narrative, from which it is a major challenge to obtain structured data. Natural language processing (NLP) provides techniques that aid the conversion of text into a structured representation, and thus enables computers to derive meaning from human (ie, natural language) input. Used on radiology reports, NLP techniques enable automatic identification and extraction of information. By exploring the various purposes for their use, this review examines how radiology benefits from NLP. A systematic literature search identified 67 relevant publications describing NLP methods that support practical applications in radiology. This review takes a close look at the individual studies in terms of tasks (ie, the extracted information), the NLP methodology and tools used, and their application purpose and performance results. Additionally, limitations, future challenges, and requirements for advancing NLP in radiology will be discussed. (©) RSNA, 2016 Online supplemental material is available for this article.
This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. The book discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. The book also discusses concrete applications illustrating IE uses. · Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for t...
Milliken, Aimee; Grace, Pamela
Much attention has been paid to the role of the nurse in recognizing and addressing ethical dilemmas. There has been less emphasis, however, on the issue of whether or not nurses understand the ethical nature of everyday practice. Awareness of the inherently ethical nature of practice is a component of nurse ethical sensitivity, which has been identified as a component of ethical decision-making. Ethical sensitivity is generally accepted as a necessary precursor to moral agency, in that recognition of the ethical content of practice is necessary before consistent action on behalf of patient interests can take place. This awareness is also compulsory in ensuring patient good by recognizing the unique interests and wishes of individuals, in line with an ethic of care. Scholarly and research literature are used to argue that bolstering ethical awareness and ensuring that nurses understand the ethical nature of the role are an obligation of the profession. Based on this line of reasoning, recommendations for education and practice, along with directions for future research, are suggested.
Nature conservation relies largely on peoples' rule adherence. However, noncompliance in the conservation context is common: it is one of the largest illegal activities in the world, degrading societies, economies and the environment. Understanding and managing compliance is key for ensuring effective conservation, nevertheless crucial concepts and tools are scattered in a wide array of literature. Here I review and integrate these concepts and tools in an effort to guide compliance management in the conservation context. First, I address the understanding of compliance by breaking it down into five key questions: who?, what?, when?, where? and why?. A special focus is given to 'why?' because the answer to this question explains the reasons for compliance and noncompliance, providing critical information for management interventions. Second, I review compliance management strategies, from voluntary compliance to coerced compliance. Finally, I suggest a system, initially proposed for tax compliance, to balance these multiple compliance management strategies. This paper differs from others by providing a broad yet practical scope on theory and tools for understanding and managing compliance in the nature conservation context. Copyright © 2015 Elsevier Ltd. All rights reserved.
Waters, Anna Jeddeloh
Research has identified language impairment as a pervasive disability (Bishop & Edmundson, 1987; Greenhalgh & Strong, 2001). Classroom communication behaviors have a role in the maintenance of special education eligibility and functional communication difficulties for young children with language impairment. This paper reviews the…
Orsolini, M; Sechi, E; Maronato, C; Bonvino, E; Corcelli, A
This study investigated the nature of phonological delay in a group of children with specific language impairment. It was asked whether phonological errors in this group of children were generated by a slow but normal language learning process or whether they reflected a selective impairment in some representations that enhance normal acquisition and use of a language phonology. A group of 10 children with SLI (mean age = 5.1) was compared with three groups of normal children who were matched in age (age control group, mean age = 5.1), in sentence comprehension and recalling (grammar control group, mean age = 3.7), or who exhibited a phonological performance lower than the age average (group with low phonological performance, mean age = 4.4). The four groups of children were assessed in terms of: (1) responses to a mispronunciation detection task; and (2) error profiles with complex and simple syllabic structures. Performance on the mispronunciation detection task showed that the group with SLI could distinguish a target lexical item from acoustic non-word stimuli that were highly similar to it in terms of phonetic characteristics. An analysis of overall error rate at this task showed, however, that four children with SLI had a much lower performance than normal children of the same age, even when the auditory stimuli were tokens of the target word, or non-words that were phonetically different from the target. A difficulty in coordinating vocal actions in an articulatory plan accounted for error profiles with simple syllabic structures both for some children with SLI and normal children with phonological performance lower than the age average. A severe difficulty with representing complex syllabic structures was a homogeneous characteristic of the group with SLI and worked as the main indicator of impaired, rather than simply slow, phonological development.
Noise-resistant and nuanced, COGBASE makes 10 million pieces of commonsense data and a host of novel reasoning algorithms available via a family of semantically-driven prior probability distributions. Machine learning, Big Data, natural language understanding/processing, and social AI can draw on COGBASE to determine lexical semantics, infer goals and interests, simulate emotion and affect, calculate document gists and topic models, and link commonsense knowledge to domain models and social, spatial, cultural, and psychological data. COGBASE is especially ideal for social Big Data, which tends to involve highly implicit contexts, cognitive artifacts, difficult-to-parse texts, and deep domain knowledge dependencies. Copyright © 2014 Elsevier Ltd. All rights reserved.
Mueller, Adrian; Zell, Andreas
A close examination of pure neural parsers shows that they either could not guarantee the correctness of their derivations or had to hard-code seriality into the structure of the net. The authors therefore decided to use a hybrid architecture, consisting of a serial parsing algorithm and a trainable net. The system fulfills the following design goals: (1) parsing of sentences without length restriction, (2) soundness and completeness for any context-free language, and (3) learning the applicability of parsing rules with a neural network to increase the efficiency of the whole system. BrainC (backtracktacking and backpropagation in C) combines the well- known shift-reduce parsing technique with backtracking with a backpropagation network to learn and represent typical structures of the trained natural language grammars. The system has been implemented as a subsystem of the Rochester Connectionist Simulator (RCS) on SUN workstations and was tested with several grammars for English and German. The design of the system and then the results are discussed.
This thesis puts forward the view that a purely signal- based approach to natural language processing is both plausible and desirable. By questioning the veracity of symbolic representations of meaning, it argues for a unified, non-symbolic model of knowledge representation that is both biologically plausible and, potentially, highly efficient. Processes to generate a grounded, neural form of this model-dubbed the semantic filter-are discussed. The combined effects of local neural organisation, coincident with perceptual maturation, are used to hypothesise its nature. This theoretical model is then validated in light of a number of fundamental neurological constraints and milestones. The mechanisms of semantic and episodic development that the model predicts are then used to explain linguistic properties, such as propositions and verbs, syntax and scripting. To mimic the growth of locally densely connected structures upon an unbounded neural substrate, a system is developed that can grow arbitrarily large, data- dependant structures composed of individual self- organising neural networks. The maturational nature of the data used results in a structure in which the perception of concepts is refined by the networks, but demarcated by subsequent structure. As a consequence, the overall structure shows significant memory and computational benefits, as predicted by the cognitive and neural models. Furthermore, the localised nature of the neural architecture also avoids the increasing error sensitivity and redundancy of traditional systems as the training domain grows. The semantic and episodic filters have been demonstrated to perform as well, or better, than more specialist networks, whilst using significantly larger vocabularies, more complex sentence forms and more natural corpora.
Huerta, Margarita; Tong, Fuhui; Irby, Beverly J.; Lara-Alecio, Rafael
The authors of this quantitative study measured and compared the academic language development and conceptual understanding of fifth-grade economically disadvantaged English language learners (ELL), former ELLs, and native English-speaking (ES) students as reflected in their science notebook scores. Using an instrument they developed, the authors…
Elson, Raymond J.; O'Callaghan, Susanne; Walker, John P.; Williams, Robert
Students rely on rote knowledge to learn accounting concepts. However, this approach does not allow them to understanding the meta language of accounting. Meta language is simply the concepts and terms that are used in a profession and are easily understood by its users. Terms such as equity, assets, and balance sheet are part of the accounting…
Wu, Joy T; Dernoncourt, Franck; Gehrmann, Sebastian; Tyler, Patrick D; Moseley, Edward T; Carlson, Eric T; Grant, David W; Li, Yeran; Welt, Jonathan; Celi, Leo Anthony
Advancement of Artificial Intelligence (AI) capabilities in medicine can help address many pressing problems in healthcare. However, AI research endeavors in healthcare may not be clinically relevant, may have unrealistic expectations, or may not be explicit enough about their limitations. A diverse and well-functioning multidisciplinary team (MDT) can help identify appropriate and achievable AI research agendas in healthcare, and advance medical AI technologies by developing AI algorithms as well as addressing the shortage of appropriately labeled datasets for machine learning. In this paper, our team of engineers, clinicians and machine learning experts share their experience and lessons learned from their two-year-long collaboration on a natural language processing (NLP) research project. We highlight specific challenges encountered in cross-disciplinary teamwork, dataset creation for NLP research, and expectation setting for current medical AI technologies. Copyright © 2017. Published by Elsevier B.V.
Doan, Son; Conway, Mike; Phuong, Tu Minh; Ohno-Machado, Lucila
In contemporary electronic medical records much of the clinically important data-signs and symptoms, symptom severity, disease status, etc.-are not provided in structured data fields but rather are encoded in clinician-generated narrative text. Natural language processing (NLP) provides a means of unlocking this important data source for applications in clinical decision support, quality assurance, and public health. This chapter provides an overview of representative NLP systems in biomedicine based on a unified architectural view. A general architecture in an NLP system consists of two main components: background knowledge that includes biomedical knowledge resources and a framework that integrates NLP tools to process text. Systems differ in both components, which we review briefly. Additionally, the challenge facing current research efforts in biomedical NLP includes the paucity of large, publicly available annotated corpora, although initiatives that facilitate data sharing, system evaluation, and collaborative work between researchers in clinical NLP are starting to emerge.
Chandarana, Meghan; Meszaros, Erica L.; Trujillo, Anna; Allen, B. Danette
As the number of viable applications for unmanned aerial vehicle (UAV) systems increases at an exponential rate, interfaces that reduce the reliance on highly skilled engineers and pilots must be developed. Recent work aims to make use of common human communication modalities such as speech and gesture. This paper explores a multimodal natural language interface that uses a combination of speech and gesture input modalities to build complex UAV flight paths by defining trajectory segment primitives. Gesture inputs are used to define the general shape of a segment while speech inputs provide additional geometric information needed to fully characterize a trajectory segment. A user study is conducted in order to evaluate the efficacy of the multimodal interface.
Graham, Matthew; Zhang, M.; Djorgovski, S. G.; Donalek, C.; Drake, A. J.; Mahabal, A.
The rapidly emerging field of time domain astronomy is one of the most exciting and vibrant new research frontiers, ranging in scientific scope from studies of the Solar System to extreme relativistic astrophysics and cosmology. It is being enabled by a new generation of large synoptic digital sky surveys - LSST, PanStarrs, CRTS - that cover large areas of sky repeatedly, looking for transient objects and phenomena. One of the biggest challenges facing these is the automated classification of transient events, a process that needs machine-processible astronomical knowledge. Semantic technologies enable the formal representation of concepts and relations within a particular domain. ATELs (http://www.astronomerstelegram.org) are a commonly-used means for reporting and commenting upon new astronomical observations of transient sources (supernovae, stellar outbursts, blazar flares, etc). However, they are loose and unstructured and employ scientific natural language for description: this makes automated processing of them - a necessity within the next decade with petascale data rates - a challenge. Nevertheless they represent a potentially rich corpus of information that could lead to new and valuable insights into transient phenomena. This project lies in the cutting-edge field of astrosemantics, a branch of astroinformatics, which applies semantic technologies to astronomy. The ATELs have been used to develop an appropriate concept scheme - a representation of the information they contain - for transient astronomy using hierarchical clustering of processed natural language. This allows us to automatically organize ATELs based on the vocabulary used. We conclude that we can use simple algorithms to process and extract meaning from astronomical textual data.
Full Text Available This paper presents the results of the research of peculiarities of syntactic development, as an element of language structure on the grammatical level of children suffering from developmental dysphasia, after the completed speech pathology treatment of many years. Syntactic level at younger school age was studied by assessing language competence in the accomplishment of communicative sentence with subordinate clause. The research was performed on the samples of children at school age in regular primary schools in Belgrade. The sample comprised 160 respondents who were divided in two groups: target and comparative. The target group consisted of 60 respondents (children suffering from developmental dysphasia after the completed speech pathology treatment of many years, and the comparative group consisted of 100 respondents from regular primary school "Gavrilo Princip" in Zemun. Research results show that grammatical development of children suffering from developmental dysphasia takes place at a considerably slower rate and entails substantially more difficulties in accomplishing predication in subordinate clauses. This paper discusses the consequences which the difficulties in grammatical development can have on school achievement.
Yusa, Noriaki; Koizumi, Masatoshi; Kim, Jungho; Kimura, Naoki; Uchida, Shinya; Yokoyama, Satoru; Miura, Naoki; Kawashima, Ryuta; Hagiwara, Hiroko
Adults seem to have greater difficulties than children in acquiring a second language (L2) because of the alleged "window of opportunity" around puberty. Postpuberty Japanese participants learned a new English rule with simplex sentences during one month of instruction, and then they were tested on "uninstructed complex sentences" as well as "instructed simplex sentences." The behavioral data show that they can acquire more knowledge than is instructed, suggesting the interweaving of nature (universal principles of grammar, UG) and nurture (instruction) in L2 acquisition. The comparison in the "uninstructed complex sentences" between post-instruction and pre-instruction using functional magnetic resonance imaging reveals a significant activation in Broca's area. Thus, this study provides new insight into Broca's area, where nature and nurture cooperate to produce L2 learners' rich linguistic knowledge. It also shows neural plasticity of adult L2 acquisition, arguing against a critical period hypothesis, at least in the domain of UG.
Teachers’ practical knowledge is considered as teachers’ general knowledge, beliefs and thinking (Borg, 2003) which can be traced in teachers’ practices (Connelly & Clandinin, 1988) and shaped by various background sources (Borg, 2003; Grossman, 1990; Meijer, Verloop, and Beijard, 1999). This paper initially discusses how language teachers are influenced by three background sources: teachers’ prior language learning experiences, prior teaching experience, and professional coursework in pr...
Popova, Yanna B
This paper proposes an understanding of literary narrative as a form of social cognition and situates the study of such narratives in relation to the new comprehensive approach to human cognition, enaction. The particular form of enactive cognition that narrative understanding is proposed to depend on is that of participatory sense-making, as developed in the work of Di Paolo and De Jaegher. Currently there is no consensus as to what makes a good literary narrative, how it is understood, and why it plays such an irreplaceable role in human experience. The proposal thus identifies a gap in the existing research on narrative by describing narrative as a form of intersubjective process of sense-making between two agents, a teller and a reader. It argues that making sense of narrative literature is an interactional process of co-constructing a story-world with a narrator. Such an understanding of narrative makes a decisive break with both text-centered approaches that have dominated both structuralist and early cognitivist study of narrative, as well as pragmatic communicative ones that view narrative as a form of linguistic implicature. The interactive experience that narrative affords and necessitates at the same time, I argue, serves to highlight the active yet cooperative and communal nature of human sociality, expressed in the many forms than human beings interact in, including literary ones.
Dale, Rick; Kello, Christopher T; Schoenemann, P Thomas
We discuss two problems for a general scientific understanding of language, sequences and synergies: how language is an intricately sequenced behavior and how language is manifested as a multidimensionally structured behavior. Though both are central in our understanding, we observe that the former tends to be studied more than the latter. We consider very general conditions that hold in human brain evolution and its computational implications, and identify multimodal and multiscale organization as two key characteristics of emerging cognitive function in our species. This suggests that human brains, and cognitive function specifically, became more adept at integrating diverse information sources and operating at multiple levels for linguistic performance. We argue that framing language evolution, learning, and use in terms of synergies suggests new research questions, and it may be a fruitful direction for new developments in theory and modeling of language as an integrated system. Copyright © 2016 Cognitive Science Society, Inc.
Pearson, Barbara Zurer; Conner, Tracy; Jackson, Janice E
Language difference among speakers of African American English (AAE) has often been considered language deficit, based on a lack of understanding about the AAE variety. Following Labov (1972), Wolfram (1969), Green (2002, 2011), and others, we define AAE as a complex rule-governed linguistic system and briefly discuss language structures that it shares with general American English (GAE) and others that are unique to AAE. We suggest ways in which mistaken ideas about the language variety add to children's difficulties in learning the mainstream dialect and, in effect, deny them the benefits of their educational programs. We propose that a linguistically informed approach that highlights correspondences between AAE and the mainstream dialect and trains students and teachers to understand language varieties at a metalinguistic level creates environments that support the academic achievement of AAE-speaking students. Finally, we present 3 program types that are recommended for helping students achieve the skills they need to be successful in multiple linguistic environments.
This qualitative, longitudinal study examines the perspectives on professional development of a group of exemplary, new secondary teachers of English Language Arts and Spanish (n = 4). This study explores the teachers' development through the lens of the "embodied understanding of practice" (EUP), a novel theoretical framework of…
Although a broad literature exists concerning the development of conceptual understanding of force and other topics within mechanics, little is known about the role and development of students' talk about the subject. The paper presents an in-depth investigation of students' talk whilst being introduced to the concept of force. The main research goal was to investigate and understand how students develop an understanding of the concept of force and how they use and understand the term 'force'. Therefore, we make relation to the research field of students' preconceptions and the field of second language learning. Two classes of students (N = 47) were videotaped during a time period of nine lessons, each transcribed and analysed using a category system. Additional data were obtained via written tasks, logs kept by the students, and tests. The detailed analysis of the talk and the results of the tests indicate that students face difficulties in using the term 'force' scientifically similar to those in a foreign language instruction. Vygotsky already recognised a relationship between learning in science and learning a language. In this paper, important aspects of this relationship are discussed based upon empirical data. We conclude that in some respects it might be useful to make reference to the research related to language learning when thinking about improving science education. In particular, according to Selinker's concept of interlanguage describing language-learning processes within language instruction, the language used by the students during physics lessons can be viewed as a 'scientific interlanguage'.
Corless, Inge B.; Limbo, Rana; Bousso, Regina Szylit; Wrenn, Robert L.; Head, David; Lickiss, Norelle; Wass, Hannelore
The aim of this work is to provide an overview of the key features of the expressions of grief. Grief is a response to loss or anticipated loss. Although universal, its oral and nonverbal expression varies across cultures and individuals. Loss is produced by an event perceived to be negative to varying degrees by the individuals involved and has the potential to trigger long-term changes in a person's cognitions and relationships. The languages used by the bereaved to express grief differ from the language used by professionals, creating dissonance between the two. Data were obtained from English language Medline and CINAHL databases, from professional and personal experiences, interviews with experts, and exploration of cemetery memorials. Blog websites and social networks provided additional materials for further refinement of the model. Content analysis of the materials and agreement by the authors as to the themes resulted in the development of the model. To bridge the gap between professional language and that used by the bereaved, a Languages of Grief model was developed consisting of four Modes of Expression, four Types of Language, plus three Contingent Factors. The Languages of Grief provides a framework for comprehending the grief of the individual, contributing to clinical understanding, and fruitful exploration by professionals in better understanding the use of languages by the bereaved. Attention to the Modes of Expression, Types of Language, and Contingent Factors provides the professional with a richer understanding of the grieving individual, a step in providing appropriate support to the bereaved. The Languages of Grief provides a framework for application to discrete occurrences with the goal of understanding grief from the perspective of the bereaved. PMID:25750773
Branum-Martin, Lee; Mehta, Paras D.; Carlson, Coleen D.; Francis, David J.; Goldenberg, Claude
Home language experiences are important for children's development of language and literacy. However, the home language context is complex, especially for Spanish-speaking children in the United States. A child's use of Spanish or English likely ranges along a continuum, influenced by preferences of particular people involved, such as parents,…
Merritt, Joi Deshawn
One reason students find it difficult to learn the particle model of matter is that traditional curriculum materials present concepts to students without helping them to develop these ideas. The How can I smell things from a distance? sixth grade chemistry unit takes the approach of building students' ideas through their construction and revision of models. Progress variables have been proposed as a means to address the need for curriculum and assessments that can help teachers' improve their practice as well as to inform both students and teachers about students' performance. Progress variables depict students' increasingly sophisticated conceptions of a specific construct during instruction. This study provides evidence that curriculum and assessment based on modern learning theories, can lead to the development of progress variables that are able to track middle school students' understanding of the particle nature of matter over time. This study used a progress variable to track student understanding of the particle nature of matter during the sixth grade chemistry unit. I describe the assessment system used to develop the progress variable for tracking students' development of particle model of matter during the sixth grade chemistry unit. A calibration study determined that the chemistry unit's assessments were reliable and valid measures of the particle model of matter progress variable. Further analysis revealed that the progress variable had to be modified such that the levels were more distinct. The modified progress variable was empirically validated so that it could be used to track students' understanding during instruction. Results indicate that a validated progress variable, linked to coherent curriculum and assessments can provide valid interpretations of students' knowledge of particular domain during instruction and that this progress variable is valid for students from varying populations and backgrounds. In addition, well-aligned curriculum and
Weimer, Amy A; Gasquoine, Philip G
Belief reasoning and emotion understanding were measured among 102 Mexican American bilingual children ranging from 4 to 7 years old. All children were tested in English and Spanish after ensuring minimum comprehension in each language. Belief reasoning was assessed using 2 false and 1 true belief tasks. Emotion understanding was measured using subtests from the Test for Emotion Comprehension. The influence of family background variables of yearly income, parental education level, and number of siblings on combined Spanish and English vocabulary, belief reasoning, and emotion understanding was assessed by regression analyses. Age and emotion understanding predicted belief reasoning. Vocabulary and belief reasoning predicted emotion understanding. When the sample was divided into language-dominant and balanced bilingual groups on the basis of language proficiency difference scores, there were no significant differences on belief reasoning or emotion understanding. Language groups were demographically similar with regard to child age, parental educational level, and family income. Results suggest Mexican American language-dominant and balanced bilinguals develop belief reasoning and emotion understanding similarly.
Sandars, John; Esmail, Aneez
The identification and reduction of medical error has become a major priority for all health care providers, including primary care. Understanding the frequency and nature of medical error in primary care is a first step in developing a policy to reduce harm and improve patient safety. There has been scant research into this area. This review had two objectives; first, to identify the frequency and nature of error in primary care, and, secondly, to consider the possible causes for the diversity in the stated rates and nature of error in primary care. Literature searches of English language studies identified in the National Patient Safety Foundation bibliography database, in Medline and in Embase were carried out. Studies that were relevant to the purpose of the study were included. Additional information was obtained from a specialist medico-legal database. Studies identified that medical error occurs between five and 80 times per 100000 consultations, mainly related to the processes involved in diagnosis and treatment. Prescribing and prescription errors have been identified to occur in up to 11% of all prescriptions, mainly related to errors in dose. There are a wide variety of definitions and methods used to identify the frequency and nature of medical error. Incident reporting, systematic identification and medico-legal databases reveal differing aspects, and there are additional perspectives obtained from GPs, primary health care workers and patients. An understanding of the true frequency and nature of medical error is complicated by the different definitions and methods used in the studies. Further research is warranted to understand the complex nature and causes of such errors that occur in primary care so that appropriate policy decisions to improve patient safety can be made.
Wittrock, Merlin C.
Concepts in cognitive psychology are applied to the language used in military situations, and a sentence classification system for use in analyzing military language is outlined. The system is designed to be used, in part, in conjunction with a natural language query system that allows a user to access a database. The discussion of military…
Liu et al.  provide a comprehensive account of research on dependency distance in human languages. While the article is a very rich and useful report on this complex subject, here I will expand on a few specific issues where research in computational linguistics (specifically natural language processing) can inform DDM research, and vice versa. These aspects have not been explored much in  or elsewhere, probably due to the little overlap between both research communities, but they may provide interesting insights for improving our understanding of the evolution of human languages, the mechanisms by which the brain processes and understands language, and the construction of effective computer systems to achieve this goal.
Full Text Available Actinomycetes populate soils and aquatic sediments which impose biotic and abiotic challenges for their survival. As a result, actinomycetes metabolism and genomes have evolved to produce an overwhelming diversity of specialized molecules. Polyketides, non-ribosomal peptides, post-translationally modified peptides, lactams and terpenes are well known bioactive natural products with enormous industrial potential. Accessing such biological diversity has proven difficult due to the complex regulation of cellular metabolism in actinomycetes and to the sparse knowledge of their physiology. The past decade, however, has seen the development of omics technologies that have significantly contributed to our better understanding of their biology. Key observations have contributed towards a shift in the exploitation of actinomycetes biology, such as using their full genomic potential, activating entire pathways through key metabolic elicitors and pathway engineering to improve biosynthesis. Here, we review recent efforts devoted to achieving enhanced discovery, activation and manipulation of natural product biosynthetic pathways in model actinomycetes using genome-scale biological datasets.
Kumar, Rajesh; Yunus, Reva
This article looks at the contribution of insights from theoretical linguistics to an understanding of language acquisition and the nature of language in terms of their potential benefit to language education. We examine the ideas of innateness and universal language faculty, as well as multilingualism and the language-society relationship. Modern…
Philip N Stoop
Full Text Available The Consumer Protection Act 68 of 2008 came into effect on 1 April 2011. The purpose of this Act is, among other things, to promote fairness, openness and respectable business practice between the suppliers of goods or services and the consumers of such good and services. In consumer protection legislation fairness is usually approached from two directions, namely substantive and procedural fairness. Measures aimed at procedural fairness address conduct during the bargaining process and generally aim at ensuring transparency. Transparency in relation to the terms of a contract relates to whether the terms of the contract terms accessible, in clear language, well-structured, and cross-referenced, with prominence being given to terms that are detrimental to the consumer or because they grant important rights. One measure in the Act aimed at addressing procedural fairness is the right to plain and understandable language. The consumer’s right to being given information in plain and understandable language, as it is expressed in section 22, is embedded under the umbrella right of information and disclosure in the Act. Section 22 requires that notices, documents or visual representations that are required in terms of the Act or other law are to be provided in plain and understandable language as well as in the prescribed form, where such a prescription exists. In the analysis of the concept “plain and understandable language” the following aspects are considered in this article: the development of plain language measures in Australia and the United Kingdom; the structure and purpose of section 22; the documents that must be in plain language; the definition of plain language; the use of official languages in consumer contracts; and plain language guidelines (based on the law of the states of Pennsylvania and Connecticut in the United States of America.
Roush, Daniel R.
This article proposes an answer to the primary question of how the American Sign Language (ASL) community in the United States conceptualizes (im)politeness and its related notions. It begins with a review of evolving theoretical issues in research on (im)politeness and related methodological problems with studying (im)politeness in natural…
Paul Ricoeur asks that we conceive of the imagination less in terms of visual images than in terms of language. He develops this idea as part of the hermeneutic work of interpreting literary texts and posits that the world disclosed by the literary work provides a space for the imaginative consideration of new possibilities for the self. I…
Do, Bao H; Wu, Andrew S; Maley, Joan; Biswal, Sandip
Natural language processing (NLP) techniques to extract data from unstructured text into formal computer representations are valuable for creating robust, scalable methods to mine data in medical documents and radiology reports. As voice recognition (VR) becomes more prevalent in radiology practice, there is opportunity for implementing NLP in real time for decision-support applications such as context-aware information retrieval. For example, as the radiologist dictates a report, an NLP algorithm can extract concepts from the text and retrieve relevant classification or diagnosis criteria or calculate disease probability. NLP can work in parallel with VR to potentially facilitate evidence-based reporting (for example, automatically retrieving the Bosniak classification when the radiologist describes a kidney cyst). For these reasons, we developed and validated an NLP system which extracts fracture and anatomy concepts from unstructured text and retrieves relevant bone fracture knowledge. We implement our NLP in an HTML5 web application to demonstrate a proof-of-concept feedback NLP system which retrieves bone fracture knowledge in real time.
Juuso, Esko K.
Performance improvement is taken as the primary goal in the asset management. Advanced data analysis is needed to efficiently integrate condition monitoring data into the operation and maintenance. Intelligent stress and condition indices have been developed for control and condition monitoring by combining generalized norms with efficient nonlinear scaling. These nonlinear scaling methodologies can also be used to handle performance measures used for management since management oriented indicators can be presented in the same scale as intelligent condition and stress indices. Performance indicators are responses of the process, machine or system to the stress contributions analyzed from process and condition monitoring data. Scaled values are directly used in intelligent temporal analysis to calculate fluctuations and trends. All these methodologies can be used in prognostics and fatigue prediction. The meanings of the variables are beneficial in extracting expert knowledge and representing information in natural language. The idea of dividing the problems into the variable specific meanings and the directions of interactions provides various improvements for performance monitoring and decision making. The integrated temporal analysis and uncertainty processing facilitates the efficient use of domain expertise. Measurements can be monitored with generalized statistical process control (GSPC) based on the same scaling functions.
A new approach for processing vowelized and unvowelized Arabic texts in order to prepare them for Natural Language Processing (NLP) purposes is described. The developed approach is rule-based and made up of four phases: text tokenization, word light stemming, word's morphological analysis and text annotation. The first phase preprocesses the input text in order to isolate the words and represent them in a formal way. The second phase applies a light stemmer in order to extract the stem of each word by eliminating the prefixes and suffixes. The third phase is a rule-based morphological analyzer that determines the root and the morphological pattern for each extracted stem. The last phase produces an annotated text where each word is tagged with its morphological attributes. The preprocessor presented in this paper is capable of dealing with vowelized and unvowelized words, and provides the input words along with relevant linguistics information needed by different applications. It is designed to be used with different NLP applications such as machine translation text summarization, text correction, information retrieval and automatic vowelization of Arabic Text. (author)
Hirschman, Lynette; Fort, Karën; Boué, Stéphanie; Kyrpides, Nikos; Islamaj Doğan, Rezarta; Cohen, Kevin Bretonnel
Crowdsourcing is increasingly utilized for performing tasks in both natural language processing and biocuration. Although there have been many applications of crowdsourcing in these fields, there have been fewer high-level discussions of the methodology and its applicability to biocuration. This paper explores crowdsourcing for biocuration through several case studies that highlight different ways of leveraging 'the crowd'; these raise issues about the kind(s) of expertise needed, the motivations of participants, and questions related to feasibility, cost and quality. The paper is an outgrowth of a panel session held at BioCreative V (Seville, September 9-11, 2015). The session consisted of four short talks, followed by a discussion. In their talks, the panelists explored the role of expertise and the potential to improve crowd performance by training; the challenge of decomposing tasks to make them amenable to crowdsourcing; and the capture of biological data and metadata through community editing.Database URL: http://www.mitre.org/publications/technical-papers/crowdsourcing-and-curation-perspectives. © The Author(s) 2016. Published by Oxford University Press.
Wu Stephen T
Full Text Available Abstract Background One challenge in reusing clinical data stored in electronic medical records is that these data are heterogenous. Clinical Natural Language Processing (NLP plays an important role in transforming information in clinical text to a standard representation that is comparable and interoperable. Information may be processed and shared when a type system specifies the allowable data structures. Therefore, we aim to define a common type system for clinical NLP that enables interoperability between structured and unstructured data generated in different clinical settings. Results We describe a common type system for clinical NLP that has an end target of deep semantics based on Clinical Element Models (CEMs, thus interoperating with structured data and accommodating diverse NLP approaches. The type system has been implemented in UIMA (Unstructured Information Management Architecture and is fully functional in a popular open-source clinical NLP system, cTAKES (clinical Text Analysis and Knowledge Extraction System versions 2.0 and later. Conclusions We have created a type system that targets deep semantics, thereby allowing for NLP systems to encapsulate knowledge from text and share it alongside heterogenous clinical data sources. Rather than surface semantics that are typically the end product of NLP algorithms, CEM-based semantics explicitly build in deep clinical semantics as the point of interoperability with more structured data types.
Wu, Stephen T; Kaggal, Vinod C; Dligach, Dmitriy; Masanz, James J; Chen, Pei; Becker, Lee; Chapman, Wendy W; Savova, Guergana K; Liu, Hongfang; Chute, Christopher G
One challenge in reusing clinical data stored in electronic medical records is that these data are heterogenous. Clinical Natural Language Processing (NLP) plays an important role in transforming information in clinical text to a standard representation that is comparable and interoperable. Information may be processed and shared when a type system specifies the allowable data structures. Therefore, we aim to define a common type system for clinical NLP that enables interoperability between structured and unstructured data generated in different clinical settings. We describe a common type system for clinical NLP that has an end target of deep semantics based on Clinical Element Models (CEMs), thus interoperating with structured data and accommodating diverse NLP approaches. The type system has been implemented in UIMA (Unstructured Information Management Architecture) and is fully functional in a popular open-source clinical NLP system, cTAKES (clinical Text Analysis and Knowledge Extraction System) versions 2.0 and later. We have created a type system that targets deep semantics, thereby allowing for NLP systems to encapsulate knowledge from text and share it alongside heterogenous clinical data sources. Rather than surface semantics that are typically the end product of NLP algorithms, CEM-based semantics explicitly build in deep clinical semantics as the point of interoperability with more structured data types.
Bruce R. Hull; David P. Robertson
The language we use to describe nature matters. It is used by policy analysts to set goals for ecological restoration and management, by scientists to describe the nature that did, does, or could exist, and by all of us to imagine possible and acceptable conditions of environmental quality. Participants in environmental decision making demand a lot of the language and...
Shatz, Marilyn; Diesendruck, Gil; Martinez-Beck, Ivelisse; Akar, Didar
Study 1 investigated whether differences in the lexical explicitness with which languages express false belief influence children's performance on standard false belief tasks. Preschoolers speaking languages with explicit terms (Turkish and Puerto Rican Spanish) were compared with preschoolers speaking languages without explicit terms (Brazilian Portuguese and English) on questions assessing false belief understanding either specifically (the think question) or more generally (the look for question). Lexical explicitness influenced responses to the think question only. Study 2 replicated Study 1 with groups of both speakers differing in socioeconomic status (SES). A local effect of explicitness was found again as well as a more general influence of SES. The findings are discussed with regard to possible relations among language, SES, and understanding of mind.
Wallesch, C W; Fehrenbach, R A
Spontaneous language of 18 patients suffering from Huntington's disease and 15 dysarthric controls suffering from Friedreich's ataxia were investigated. In addition, language functions in various modalities were assessed with the Aachen Aphasia Test (AAT). The Huntington patients exhibited deficits in the syntactical complexity of spontaneous speech and in the Token Test, confrontation naming, and language comprehension subtests of the AAT, which are interpreted as resulting from their dementia. Errors affecting word access mechanisms and production of syntactical structures as such were not encountered.
Full Text Available Mental image directed semantic theory (MIDST has proposed an omnisensory mental image model and its description language Lmd. This language is designed to represent and compute human intuitive knowledge of space and can provide multimedia expressions with intermediate semantic descriptions in predicate logic. It is hypothesized that such knowledge and semantic descriptions are controlled by human attention toward the world and therefore subjective to each human individual. This paper describes Lmd expression of human subjective knowledge of space and its application to aware computing in cross-media operation between linguistic and pictorial expressions as spatial language understanding.
My contention is that Heidegger's daring phenomenology of language is also found and even radicalised within the framework of African philosophy, particularly the philosophy of myth. I argue that the exploration of the relation between these views of language offers the possibility not only to expand on the conventional ...
Understanding natural language is a cognitive, information-driven process. Discussing some of the consequences of this fact, the paper offers a novel look at the semantic effect of lexical nouns and the identification of reference types....
Lee, Ming Che; Chang, Jia Wei; Hsieh, Tung Cheng
This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to "artificial language", such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. Experiments on two famous benchmarks demonstrate that the proposed algorithm has a significant performance improvement in sentences/short-texts with arbitrary syntax and structure.
Haug Peter J
Full Text Available Abstract Background The medical problem list is an important part of the electronic medical record in development in our institution. To serve the functions it is designed for, the problem list has to be as accurate and timely as possible. However, the current problem list is usually incomplete and inaccurate, and is often totally unused. To alleviate this issue, we are building an environment where the problem list can be easily and effectively maintained. Methods For this project, 80 medical problems were selected for their frequency of use in our future clinical field of evaluation (cardiovascular. We have developed an Automated Problem List system composed of two main components: a background and a foreground application. The background application uses Natural Language Processing (NLP to harvest potential problem list entries from the list of 80 targeted problems detected in the multiple free-text electronic documents available in our electronic medical record. These proposed medical problems drive the foreground application designed for management of the problem list. Within this application, the extracted problems are proposed to the physicians for addition to the official problem list. Results The set of 80 targeted medical problems selected for this project covered about 5% of all possible diagnoses coded in ICD-9-CM in our study population (cardiovascular adult inpatients, but about 64% of all instances of these coded diagnoses. The system contains algorithms to detect first document sections, then sentences within these sections, and finally potential problems within the sentences. The initial evaluation of the section and sentence detection algorithms demonstrated a sensitivity and positive predictive value of 100% when detecting sections, and a sensitivity of 89% and a positive predictive value of 94% when detecting sentences. Conclusion The global aim of our project is to automate the process of creating and maintaining a problem
Lillo-Martin, Diane C; Gajewski, Jon
Linguistic research has identified abstract properties that seem to be shared by all languages-such properties may be considered defining characteristics. In recent decades, the recognition that human language is found not only in the spoken modality but also in the form of sign languages has led to a reconsideration of some of these potential linguistic universals. In large part, the linguistic analysis of sign languages has led to the conclusion that universal characteristics of language can be stated at an abstract enough level to include languages in both spoken and signed modalities. For example, languages in both modalities display hierarchical structure at sub-lexical and phrasal level, and recursive rule application. However, this does not mean that modality-based differences between signed and spoken languages are trivial. In this article, we consider several candidate domains for modality effects, in light of the overarching question: are signed and spoken languages subject to the same abstract grammatical constraints, or is a substantially different conception of grammar needed for the sign language case? We look at differences between language types based on the use of space, iconicity, and the possibility for simultaneity in linguistic expression. The inclusion of sign languages does support some broadening of the conception of human language-in ways that are applicable for spoken languages as well. Still, the overall conclusion is that one grammar applies for human language, no matter the modality of expression. WIREs Cogn Sci 2014, 5:387-401. doi: 10.1002/wcs.1297 This article is categorized under: Linguistics > Linguistic Theory. © 2014 The Authors. WIREs Cognitive Science published by John Wiley & Sons, Ltd.
In this paper we argue for a paradigmatic shift from `reductionism' to `togetherness'. In particular, we show how interaction between systems in quantum theory naturally carries over to modelling how word meanings interact in natural language. Since meaning in natural language, depending on the subject domain, encompasses discussions within any scientific discipline, we obtain a template for theories such as social interaction, animal behaviour, and many others.
Jednoróg, Katarzyna; Bola, Łukasz; Mostowski, Piotr; Szwed, Marcin; Boguszewski, Paweł M; Marchewka, Artur; Rutkowski, Paweł
In several countries natural sign languages were considered inadequate for education. Instead, new sign-supported systems were created, based on the belief that spoken/written language is grammatically superior. One such system called SJM (system językowo-migowy) preserves the grammatical and lexical structure of spoken Polish and since 1960s has been extensively employed in schools and on TV. Nevertheless, the Deaf community avoids using SJM for everyday communication, its preferred language being PJM (polski język migowy), a natural sign language, structurally and grammatically independent of spoken Polish and featuring classifier constructions (CCs). Here, for the first time, we compare, with fMRI method, the neural bases of natural vs. devised communication systems. Deaf signers were presented with three types of signed sentences (SJM and PJM with/without CCs). Consistent with previous findings, PJM with CCs compared to either SJM or PJM without CCs recruited the parietal lobes. The reverse comparison revealed activation in the anterior temporal lobes, suggesting increased semantic combinatory processes in lexical sign comprehension. Finally, PJM compared with SJM engaged left posterior superior temporal gyrus and anterior temporal lobe, areas crucial for sentence-level speech comprehension. We suggest that activity in these two areas reflects greater processing efficiency for naturally evolved sign language. Copyright © 2015 Elsevier Ltd. All rights reserved.
The Cross-Lingual Information Retrieval system (CLIR) or Multilingual Information Retrieval (MIR) has become the key issue in electronic documents management systems in a multinational environment. We propose here a multilingual information retrieval system consisting of a morpho-syntactic analyser, a transfer system from source language to target language and an information retrieval system. A thorough investigation into the system architecture and the transfer mechanisms is proposed in that report, using two different performance evaluation methods. (author) [fr
Lutz, Martha Victoria Rosett
Scientific literacy is a central goal of science education. One purpose of this investigation was to reevaluate the definition of 'scientific literacy.' Another purpose was to develop and implement new curriculum involving natural history experiments with insects, with the goal of allowing students opportunities to construct an understanding of the nature of science, a crucial aspect of scientific literacy. This investigation was a qualitative case study. Methods of data collection included direct observations, analysis of sketches and written products created by students and class-room teachers, and analysis of audio tapes. Major findings include: (1) Scientific literacy is generally defined by lists of factual information which students are expected to master. When asked to evaluate their knowledge of selected items on a list published in a science education reform curriculum guide, 15 practicing scientists reported lack of familiarity or comprehension with many items, with the exception of items within their areas of specialization. (2) Genuine natural history experiments using insects can be incorporated into the existing school schedule and need not require any increase in the budget for science materials. (3) Students as young as first through third grade can learn the manual techniques and conceptual skills necessary for designing and conducting original natural history experiments, including manipulating the insects, making accurate sketches, developing test able hypotheses, recording data, and drawing conclusions from their data. Students were generally enthusiastic both about working with live insects and also conducting genuine science experiments. (4) Girls appear both positive and engaged with natural history activities and may be more likely than boys to follow through on designing, conducting, and reporting on independent experiments. The results imply that a valid definition of scientific literacy should be based on the ability to acquire scientific
Lane, H. Chad; Vanlehn, Kurt
For beginning programmers, inadequate problem solving and planning skills are among the most salient of their weaknesses. In this paper, we test the efficacy of natural language tutoring to teach and scaffold acquisition of these skills. We describe ProPL (Pro-PELL), a dialogue-based intelligent tutoring system that elicits goal decompositions and program plans from students in natural language. The system uses a variety of tutoring tactics that leverage students' intuitive understandings of the problem, how it might be solved, and the underlying concepts of programming. We report the results of a small-scale evaluation comparing students who used ProPL with a control group who read the same content. Our primary findings are that students who received tutoring from ProPL seem to have developed an improved ability to solve the composition problem and displayed behaviors that suggest they were able to think at greater levels of abstraction than students in the read-only group.
Paredes-Valverde, Mario Andrés
The semantic Web aims to provide to Web information with a well-defined meaning and make it understandable not only by humans but also by computers, thus allowing the automation, integration and reuse of high-quality information across different applications. However, current information retrieval mechanisms for semantic knowledge bases are intended to be only used by expert users. In this work, we propose a natural language interface that allows non-expert users the access to this kind of information through formulating queries in natural language. The present approach uses a domain-independent ontology model to represent the question\\'s structure and context. Also, this model allows determination of the answer type expected by the user based on a proposed question classification. To prove the effectiveness of our approach, we have conducted an evaluation in the music domain using LinkedBrainz, an effort to provide the MusicBrainz information as structured data on the Web by means of Semantic Web technologies. Our proposal obtained encouraging results based on the F-measure metric, ranging from 0.74 to 0.82 for a corpus of questions generated by a group of real-world end users. © The Author(s) 2015.
Vlas, Radu Eduard
Open source projects do have requirements; they are, however, mostly informal, text descriptions found in requests, forums, and other correspondence. Understanding such requirements provides insight into the nature of open source projects. Unfortunately, manual analysis of natural language requirements is time-consuming, and for large projects,…
Komac, B.; Zorn, M.; Ciglič, R.; Steinführer, A.
The importance of natural-disaster education for social preparedness is presented. Increasing damage caused by natural disasters around the globe draws attention to the fact that even developed societies must adapt to natural processes. Natural-disaster education is a component part of any education strategy for a sustainably oriented society. The purpose of this article is to present the role of formal education in natural disasters in Europe. To ensure a uniform overview, the study used secondary-school geography textbooks from the collection at the Georg Eckert Institute for International Textbook Research in Braunschweig, Germany. Altogether, nearly 190 textbooks from 35 European countries were examined. The greatest focus on natural disasters can be found in textbooks published in western Europe (3.8% of pages describing natural disasters), and the smallest in those published in eastern Europe (0.7%). A share of textbook pages exceeding three percent describing natural disasters can also be found in northern Europe (3.6%) and southeast Europe, including Turkey (3.4%). The shares in central and southern Europe exceed two percent (i.e., 2.8% and 2.3%, respectively). The types and specific examples of natural disasters most commonly covered in textbooks as well as the type of natural disasters presented in textbooks according to the number of casualties and the damage caused were analyzed. The results show that the majority of European (secondary-school) education systems are poorly developed in terms of natural-disaster education. If education is perceived as part of natural-disaster management and governance, greater attention should clearly be dedicated to this activity. In addition to formal education, informal education also raises a series of questions connected with the importance of this type of education. Special attention was drawn to the importance of knowledge that locals have about their region because this aspect of education is important in both
Full Text Available Natural Language Processing is one of the most developing fields in research area. In most of the applications related to the Natural Language Processing findings of the Morphological Analysis and Morphological Generation can be considered very important. As morphological study is the technique to recognise a word and its output can be used on later on stages .Keeping in view this importance this paper describes how Morphological Analysis and Morphological Generation can be proved as an important part of various Natural Language Processing fields such as Spell checker Machine Translation etc.
Lazarević Emilija; Šefer Jasmina
Hermetic textbook language poses a significant problem in education of the young in our country. The goal of this paper is to point out to the complexity of vocabulary in textbooks, which contributes to students' lack of understanding of what they are reading. Since we established that textbooks in narrative subjects - history, geography and biology - are mostly used during studying and that students mark them as especially difficult for understanding, the subject of this research is precisel...
Ramsay, Janet; Cowell, Naina; Gersch, Irvine
This exploratory study adopted a mixed methods methodology, a critical realist ontological stance and a constructionist epistemological position to consider how special educational needs coordinators and pastoral managers in mainstream high schools understand the relationship between problem behaviours and language development. Semi-structured…
Nyachwaya, James M.
The objective of this study was to examine college general chemistry students' conceptual understanding and language fluency in the context of the topic of acids and bases. 115 students worked in groups of 2-4 to complete an activity on conductometry, where they were given a scenario in which a titration of sodium hydroxide solution and dilute…
Full Text Available This paper, drawing on Pratt’s notion of ‘transculturation’ and Bhabha’s ‘third space’, presents an example of language learning tasks that empower learners’ agency and promote their cross-cultural awareness and sensitivities to a different set of cultural expectations, using a naturally occurred Japanese thanking episodes. The paper discusses the merits of Natural Conversation Reconstruction Tasks (NCRTs as a practical method for helping L2 learners develop this ‘intercultural competence’. It is based on a qualitative study of the results of one NCRT created for use in the context of teaching Japanese as a L2 in a multicultural society. It suggests the NCRT encourages the learners to explore the intersection where language use, speaker intention and L1 and L2 cultural norms meet. Such a process helps the learners become aware of socially expected patterns of communication in L1 and L2 in terms of the choices of speech act, formulaic expressions, sequential organization and politeness orientation. The learners’ comments suggest that the NCRT helps learners transcend their cultural boundaries by overcoming their narrow understanding of ‘thanking’ as ‘expressions of gratitude and appreciation’ and by cross-culturally widening their views of what counts as thanking. The NCRT with rich contextual information promotes the learners’ intercultural awareness, sensitivity to context and intercultural exploration in the space between L1 and L2, where they have authority and freedom of making sense of conversations, and pragmatics is fully integrated into language pedagogy.
Chang, Jia Wei; Hsieh, Tung Cheng
This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to “artificial language”, such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. Experiments on two famous benchmarks demonstrate that the proposed algorithm has a significant performance improvement in sentences/short-texts with arbitrary syntax and structure. PMID:24982952
Ming Che Lee
Full Text Available This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to “artificial language”, such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. Experiments on two famous benchmarks demonstrate that the proposed algorithm has a significant performance improvement in sentences/short-texts with arbitrary syntax and structure.
Kiraz, George Anton
This book presents a tractable computational model that can cope with complex morphological operations, especially in Semitic languages, and less complex morphological systems present in Western languages. It outlines a new generalized regular rewrite rule system that uses multiple finite-state automata to cater to root-and-pattern morphology,…
Plante, Elena; Patterson, Dianne; Dailey, Natalie S; Kyle, R Almyrde; Fridriksson, Julius
Those who are initially exposed to an unfamiliar language have difficulty separating running speech into individual words, but over time will recognize both words and the grammatical structure of the language. Behavioral studies have used artificial languages to demonstrate that humans are sensitive to distributional information in language input, and can use this information to discover the structure of that language. This is done without direct instruction and learning occurs over the course of minutes rather than days or months. Moreover, learners may attend to different aspects of the language input as their own learning progresses. Here, we examine processing associated with the early stages of exposure to a natural language, using fMRI. Listeners were exposed to an unfamiliar language (Icelandic) while undergoing four consecutive fMRI scans. The Icelandic stimuli were constrained in ways known to produce rapid learning of aspects of language structure. After approximately 4 min of exposure to the Icelandic stimuli, participants began to differentiate between correct and incorrect sentences at above chance levels, with significant improvement between the first and last scan. An independent component analysis of the imaging data revealed four task-related components, two of which were associated with behavioral performance early in the experiment, and two with performance later in the experiment. This outcome suggests dynamic changes occur in the recruitment of neural resources even within the initial period of exposure to an unfamiliar natural language. Copyright © 2014 Elsevier Ltd. All rights reserved.
Chua, Siew Lian; Wong, Angela F. L.; Chen, Der-Thanq V.
This article reports findings from a classroom environment study which was designed to investigate the nature of Chinese Language classroom environments in Singapore secondary schools. We used a perceptual instrument, the Chinese Language Classroom Environment Inventory, to investigate teachers' and students' perceptions towards their Chinese…
LeBlanc, Linda A.; Geiger, Kaneen B.; Sautter, Rachael A.; Sidener, Tina M.
The Natural Language Paradigm (NLP) has proven effective in increasing spontaneous verbalizations for children with autism. This study investigated the use of NLP with older adults with cognitive impairments served at a leisure-based adult day program for seniors. Three individuals with limited spontaneous use of functional language participated…
Theune, Mariet; Freedman, R.; Callaway, C.
This paper describes how a language generation system that was originally designed for monologue generation, has been adapted for use in the OVIS spoken dialogue system. To meet the requirement that in a dialogue, the system’s utterances should make up a single, coherent dialogue turn, several
Zuidema, W.; de Boer, B.
Theories of the evolutionary origins of language must be informed by empirical and theoretical results from a variety of different fields. Complementing recent surveys of relevant work from linguistics, animal behaviour and genetics, this paper surveys the requirements on evolutionary scenarios that
Locke, John L.
Since language is a biological trait, it is necessary to investigate its evolution, development, and functions, along with the mechanisms that have been set aside, and are now recruited, for its acquisition and use. It is argued here that progress toward each of these goals can be facilitated by new programs of research, carried out within a new…
schema) theoretical framework to investigate university students' understanding of derivatives and their applica-tions. Research was done at the Westville Campus of the University of KwaZulu-Natal in South Africa. The relevant rules for finding ...
Recent years have seen a powerful shift towards data-rich environments throughout society. This has extended to a change in how the artifacts and products of scientific knowledge production can be analyzed and understood. Bottom-up approaches are on the rise that combine access to huge amounts of academic publications with advanced computer graphics and data processing tools, including natural language processing. Knowledge domain visualization is one of those multi-technology approaches, with its aim of turning domain-specific human knowledge into highly visual representations in order to better understand the structure and evolution of domain knowledge. For example, network visualizations built from co-author relations contained in academic publications can provide insight on how scholars collaborate with each other in one or multiple domains, and visualizations built from the text content of articles can help us understand the topical structure of knowledge domains. These knowledge domain visualizations need to support interactive viewing and exploration by users. Such spatialization efforts are increasingly looking to geography and GIS as a source of metaphors and practical technology solutions, even when non-georeferenced information is managed, analyzed, and visualized. When it comes to deploying spatialized representations online, web mapping and web GIS can provide practical technology solutions for interactive viewing of knowledge domain visualizations, from panning and zooming to the overlay of additional information. This thesis presents a novel combination of advanced natural language processing - in the form of topic modeling - with dimensionality reduction through self-organizing maps and the deployment of web mapping/GIS technology towards intuitive, GIS-like, exploration of a knowledge domain visualization. A complete workflow is proposed and implemented that processes any corpus of input text documents into a map form and leverages a web
We propose a program of archival X-ray and related studies designed to advance understanding of the remarkable active galactic nucleus (AGN) population of X-ray weak quasars. These exceptional objects reveal phenomena that are more generally applicable but are difficult to investigate when more subtly expressed in the overall quasar population. X-ray weak quasars furthermore challenge a central tenet of X-ray astronomy that luminous X-ray emission is a universal property of efficiently accreting supermassive black holes; this idea underlies the utility of X-ray surveys for identifying AGNs throughout the Universe. Our previous findings indicate that understanding of Xray weak quasars is now primed for rapid further advances. Our studies of X-ray weak quasars will employ data from the vast archives of forefront X-ray missions, particularly XMM-Newton and Chandra, and they will also benefit greatly from the use of NuSTAR, ROSAT, Suzaku, Swift, GALEX, and WISE data. They are largely enabled by the enormous quasar samples delivered by modern widefield sky surveys. In particular, we will identify X-ray weak quasars using the serendipitous X-ray coverage of the 380,000 relatively bright quasars spectroscopically identified by the Sloan Digital Sky Survey (SDSS) from z 0.1-5.5; these are wellmatched to the depths of typical archival X-ray observations. The number of SDSS spectroscopic quasars has more than tripled in recent years, and the sample-size improvements at redshifts of z = 2-4, important for our investigations, are even more dramatic. We will construct an unprecedented new sample of X-ray weak quasars, about 20 times larger than those used currently, to enable systematic studies of the X-ray weakness phenomenon. This work should reveal the cause of X-ray weakness for quasars with weak emission lines, allowing testing of a model that relies upon small-scale shielding of ionizing photons by a thick inner accretion disk around a black hole accreting at a high
Jutla, Antarpreet; Khan, Rakibul; Colwell, Rita
Diarrheal diseases remain a serious global public health threat, especially for those populations lacking access to safe water and sanitation infrastructure. Although association of several diarrheal diseases, e.g., cholera, shigellosis, etc., with climatic processes has been documented, the global human population remains at heightened risk of outbreak of diseases after natural disasters, such as earthquakes, floods, or droughts. In this review, cholera was selected as a signature diarrheal disease and the role of natural disasters in triggering and transmitting cholera was analyzed. Key observations include identification of an inherent feedback loop that includes societal structure, prevailing climatic processes, and spatio-temporal seasonal variability of natural disasters. Data obtained from satellite-based remote sensing are concluded to have application, although limited, in predicting risks of a cholera outbreak(s). We argue that with the advent of new high spectral and spatial resolution data, earth observation systems should be seamlessly integrated in a decision support mechanism to be mobilize resources when a region suffers a natural disaster. A framework is proposed that can be used to assess the impact of natural disasters with response to outbreak of cholera, providing assessment of short- and long-term influence of climatic processes on disease outbreaks.
Tompkins, Virginia; Logan, Jessica A R; Blosser, Daniel F; Duffy, Kaylin
Achieving false belief understanding is an important cognitive milestone that allows children to understand that thoughts and reality can differ. Researchers have found that low-income children score significantly lower than middle-income children on false belief understanding but have not examined why this difference exists. We hypothesized that children's language and parent discipline mediate the income-false belief relation. Participants were 174 3- to 6-year-olds. False belief understanding was significantly correlated with family income, children's vocabulary, parents' self-reported discussion of children's behavior, discussion of emotions, and power assertion. Family income had a significant indirect effect on false belief understanding through children's vocabulary and parent discipline when examined independently, but only through children's vocabulary when using parallel multiple mediation. This study contributes to our knowledge of individual differences in false belief understanding. Copyright © 2017 Elsevier Inc. All rights reserved.
Tang, Kok Sing
Adolescents are constantly exposed to multiple cultural views of the natural world in juxtaposition with the dominant view of science taught in school. This dissertation explores the interaction of these multiple views, and how they shape students' understanding of and attitudes toward science. Situated in a high school physics classroom, a curricular approach was designed and enacted to open a space in the classroom for the convergence of multiple discourses (or systems of cultural knowledge), and subsequently study how students navigate around them. Ethnographic and critical inquiry revealed that when two or more discourses about similar natural events or objects (e.g., toss of a colorguard flag, human body) were directly juxtaposed in the classroom space, conceptual, affective, and ideological conflicts were generated for certain students. This was particularly so for students whose embedded experiences and social affiliations within certain discourse communities (e.g., sport clubs, church) led to their preferred ways of looking at the natural world from one particular discourse, and consequently a negative stance toward alternative ways in other discourses. However, through appropriate pedagogical design and support, such juxtaposition also created opportunities for some students to hybridize different cultural understandings of the natural world as they navigated around multiple discourses. Informed by Bakhtin's notions of heteroglossia and voice appropriation, the characteristics of such hybridization were found to include: (a) being aware of heteroglossic differences in the use of language, (b) a dynamic shift in identification toward the dialogic other, (c) a juxtaposition of the other's voices in one's utterances, and (d) a momentary suppression of one's preferences, for strategic motives. Not only did hybridization provide a means for some students to construct conceptual knowledge across discourses, but it also helped them develop critical literacy in
Thao-Do, Thi Phuong; Yuenyong, Chokchai
Scholars proved nature of science (NOS) has made certain contributions to science teaching and learning. Nonetheless, what, how and how much NOS should be integrated in the science curriculum of each country cannot be a benchmark, due to the influence of culture and society. Before employing NOS in a new context, it should be carefully studied. In…
Boran, Gül Hanim; Bag, Hüseyin
The aim in conducting this study is to explore the effects of argumentation on pre-service science teachers' views of the nature of science. This study used a qualitative case study and conducted with 20 pre-service science teachers. Data sources include an open-ended questionnaire and audio-taped interviews. According to pretest and posttest…
The competition for land has become an issue of major concern and cause of conflict, especially between pastoralists and crop farmers, but also between pastoralists and nature conservation institutions. The Biosphere Reserve of W in Benin Republic (WBR) and its surrounding lands are located in
Abstract. The themes of human rights and human rights education in South Africa's multi-cultural society are central to the work of Cornelia Roux. This article discusses the human reality and ethics underlying those themes, using an approach based on a view of human nature. It has six sections, starting with an introduction ...
The two authors, Thi Phuong Thao-Do and Chokchai Yuenyong, explored the Nature of Science as it is understood in Vietnam, a fast-developing "ancient" and modern country which continues to be shaped by uniquely Asian social norms and values. Upon reviewing their paper, I observed strong parallels to the country, the United Arab Emirates,…
Makris, Nikos; Pnevmatikos, Dimitris
Barrett, Richert, and Driesenga [Barrett, J. L., Richert, R. A., & Driesenga, A. (2001). "God's beliefs versus mother's: The development of nonhuman agents concepts." "Child Development," 72(1), 50-65] have suggested that children are able to conceptualize the representational properties held by certain super-natural entities, such as God, before…
Idrissou, L.; Aarts, M.N.C.; Leeuwis, C.; Paassen, van A.
This paper investigated conflicts in participatory protected areas management in Benin to better understand their dynamics. This review paper is based on four articles written from three case-studies of conflicts that emerged and evolved in participatory protected areas management in Benin and a
2005), (b) students‟ difficulties with the derivative increase and get worse when the function considered is a composite function ... ing students build appropriate mental structures, and [b] guiding them to apply these structures to construct their understanding of ...... In D Hewitt & A Noyes (eds). Proceedings of the sixth Brit-.
Hoyle, Fred; Wickramasinghe, Chandra
We discuss a possible biological explanation of the phenomenon of colour prejudice that hinges on the relative advantages and disadvantages in the expression of the strongly dominant gene(s) for melanin under ice-age conditions at different locations on the Earth. An understanding of the genesis of this prejudice could hopefully eradicate or ameliorate its worst manifestations in modern society.
Vanderhoeven, Sonia; Piqueray, Julien; Halford, Mathieu; Nulens, Greet; Vincke, Jan; Mahy, Grégory
We conducted a survey to determine how two professional sectors in Belgium, horticulture professionals and nature reserve managers (those directly involved in conservation), view the issues associated with invasive plant species. We developed and utilized a questionnaire that addressed the themes of awareness, concept and use of language, availability of information, impacts and, finally, control and available solutions. Using co-inertia analyses, we tested to what extent the perception of invasive alien species (IAS) was dependent upon the perception of Nature in general. Only forty-two percent of respondent horticulture professionals and eighty-two percent of nature reserve managers had a general knowledge of IAS. Many individuals in both target groups nonetheless had an accurate understanding of the scientific issues. Our results therefore suggest that the manner in which individuals within the two groups view, or perceive, the IAS issue was more the result of lack of information than simply biased perceptions of target groups. Though IAS perceptions by the two groups diverged, they were on par with how they viewed Nature in general. The descriptions of IAS by participants converged with the ideas and concepts frequently found in the scientific literature. Both managers and horticulture professionals expressed a strong willingness to participate in programs designed to prevent the spread of, and damage caused by, IAS. Despite this, the continued commercial availability of many invasive species highlighted the necessity to use both mandatory and voluntary approaches to reduce their re-introduction and spread. The results of this study provide stakeholders and conservation managers with practical information on which communication and management strategies can be based.
Vanderhoeven, Sonia; Piqueray, Julien; Halford, Mathieu; Nulens, Greet; Vincke, Jan; Mahy, Grégory
We conducted a survey to determine how two professional sectors in Belgium, horticulture professionals and nature reserve managers (those directly involved in conservation), view the issues associated with invasive plant species. We developed and utilized a questionnaire that addressed the themes of awareness, concept and use of language, availability of information, impacts and, finally, control and available solutions. Using co-inertia analyses, we tested to what extent the perception of invasive alien species (IAS) was dependent upon the perception of Nature in general. Only forty-two percent of respondent horticulture professionals and eighty-two percent of nature reserve managers had a general knowledge of IAS. Many individuals in both target groups nonetheless had an accurate understanding of the scientific issues. Our results therefore suggest that the manner in which individuals within the two groups view, or perceive, the IAS issue was more the result of lack of information than simply biased perceptions of target groups. Though IAS perceptions by the two groups diverged, they were on par with how they viewed Nature in general. The descriptions of IAS by participants converged with the ideas and concepts frequently found in the scientific literature. Both managers and horticulture professionals expressed a strong willingness to participate in programs designed to prevent the spread of, and damage caused by, IAS. Despite this, the continued commercial availability of many invasive species highlighted the necessity to use both mandatory and voluntary approaches to reduce their re-introduction and spread. The results of this study provide stakeholders and conservation managers with practical information on which communication and management strategies can be based.
Nielsen, Jennifer L.; Regier, Henry A.; Knudsen, E. Eric
Species of the family of Salmonidae occur naturally in Northern Hemisphere waters that remain clear and cool to cold in summer. For purposes of reproduction, salmonids generally behaviorally respond to the currents of streams and lakes in recently glaciated areas. For feeding and maturation, many larger species migrate into existing systems of large lakes, seas, and oceans. The subfamilies include Salmoninae, Coregoninae, and Thymallinae. In many locales and regions of the hemisphere, numerous species of these subfamilies evolved and self-organized into species flocks or taxocenes of bewildering complexity. For example, any individual species may play different or unique ecological roles in different taxocenes. The northern Pacific and Atlantic Ocean ecosystems, with their seas and tributaries, each contained a metacomplex of such taxocenes that, in their natural state some centuries ago, resembled each other but differed in many ways. Humans have valued all species of this family for subsistence, ceremonial, naturalist, gustatory, angling, and commercial reasons for centuries. Modern progressive humans (MPHs), whose industrial and commercial enterprises have gradually spread over this hemisphere in recent time, now affect aquatic ecosystems at all scales from local to global. These human effects mingle in complex ways that together induce uniquely natural salmonid taxocenes to disintegrate with the loss of species, including those groups least tolerant to human manipulations, but extending more recently to those taxa more adapted to anthropogenic change. As we leave the modern era, dominated by MPHs, will we find ways to live sustainably with salmonid taxocenes that still exhibit self-organizational integrity, or will only individual, isolated populations of salmonid species, derived from those most tolerant of MPHs, survive? To achieve future sustainability of salmonids, we suggest implementation of a search for intuitive knowledge based on faith in the wisdom of
The competition for land has become an issue of major concern and cause of conflict, especially between pastoralists and crop farmers, but also between pastoralists and nature conservation institutions. The Biosphere Reserve of W in Benin Republic (WBR) and its surrounding lands are located in the agro-pastoral contact zone in West Africa, enabling competition for land, and affecting the relations between pastoralism and its environment. The general aim of this thesis, therefore, was to under...
Morten H Christiansen
Full Text Available In the generative tradition, the language faculty has been shrinking—perhaps to include only the mechanism of recursion. This paper argues that even this view of the language faculty is too expansive. We first argue that a language faculty is difficult to reconcile with evolutionary considerations. We then focus on recursion as a detailed case study, arguing that our ability to process recursive structure does not rely on recursion as a property of the grammar, but instead emerge gradually by piggybacking on domain-general sequence learning abilities. Evidence from genetics, comparative work on non-human primates, and cognitive neuroscience suggests that humans have evolved complex sequence learning skills, which were subsequently pressed into service to accommodate language. Constraints on sequence learning therefore have played an important role in shaping the cultural evolution of linguistic structure, including our limited abilities for processing recursive structure. Finally, we re-evaluate some of the key considerations that have often been taken to require the postulation of a language faculty.
Lopez, Carlos F.; Nielsen, Steve O.; Moore, Preston B.; Klein, Michael L.
Synthetic and natural peptide assemblies can possess transport or conductance activity across biomembranes through the formation of nanopores. The fundamental mechanisms of membrane insertion necessary for antimicrobial or synthetic pore formation are poorly understood. We observe a lipid-assisted mechanism for passive insertion into a model membrane from molecular dynamics simulations. The assembly used in the study, a generic nanotube functionalized with hydrophilic termini, is assisted in crossing the membrane core by transleaflet lipid flips. Lipid tails occlude a purely hydrophobic nanotube. The observed insertion mechanism requirements for hydrophobic-hydrophilic matching have implications for the design of synthetic channels and antibiotics.
The two authors, Thi Phuong Thao-Do and Chokchai Yuenyong, explored the Nature of Science as it is understood in Vietnam, a fast-developing `ancient' and modern country which continues to be shaped by uniquely Asian social norms and values. Upon reviewing their paper, I observed strong parallels to the country, the United Arab Emirates, where I have lived and worked for 20 years. In this forum piece, I described several areas of similarity and one striking area of difference between the two societies.
Harispe, Sébastien; Janaqi, Stefan
Artificial Intelligence federates numerous scientific fields in the aim of developing machines able to assist human operators performing complex treatments---most of which demand high cognitive skills (e.g. learning or decision processes). Central to this quest is to give machines the ability to estimate the likeness or similarity between things in the way human beings estimate the similarity between stimuli.In this context, this book focuses on semantic measures: approaches designed for comparing semantic entities such as units of language, e.g. words, sentences, or concepts and instances def
Srisawat, Akkarawat; Aiemsum-ang, Napapan; Yuenyong, Chokchai
This study was conducted on the effect of understanding and instruction of the nature of science of Ms. Wanida, a pre-service student under science education program in biology, Faculty of Education, Khon Kaen University. Wanida was a teaching practicum student majoring in biology at Khon Kaen University Demonstration School (Modindaeng). She was teaching biology for 38 Grade 10 students. Methodology regarded interpretive paradigm. The study aimed to examine 1) Wanida's understanding of the nature of science, 2) Wanida's instruction of the nature of science, 3 students' understanding of the nature of science from Wanida's instruction, and 4) the effects of Wanida's understanding and instruction of the nature of science on students' understanding of the nature of science from Wanida's instruction. Tools of interpretation included teaching observation, a semi-structured interview, open-ended questionnaire, and an observation record form for the instruction of the nature of science. The data obtained was interpreted, encoded, and classified, using the descriptive statistics. The findings indicated that Wanida held good understanding of the nature of science. She could apply the deficient nature of science approach mostly, followed by the implicit nature of science approach. Unfortunately, she could not show her teaching as explicit nature of science. However, her students' the understanding of the nature of science was good.
Chandar, Prem; Nole, Greg; Johnson, Anthony W
Dry skin and moisturization are important topics because they impact the lives of many individuals. For most individuals, dry skin is not a notable concern and can be adequately managed with current moisturizing products. However, dry skin can affect the quality of life of some individuals because of the challenges of either harsh environmental conditions or impaired stratum corneum (SC) dry skin protection processes resulting from various common skin diseases. Dry skin protection processes of the SC, such as the development of natural moisturizing factor (NMF), are complex, carefully balanced, and easily perturbed. We discuss the importance of the filaggrin-NMF system and the composition of NMF in both healthy and dry skin, and also reveal new insights that suggest the properties required for a new generation of moisturizing technologies.
This study is part of a research programme conducted by IRSN on the safety of deep geological disposal of high level and intermediate long-lived radioactive wastes. It more especially concerns the geological medium considered as a full component of the multi-barrier concept proposed by Andra for a deep repository. Indeed, the Callovo-Oxfordian argillite of the Paris Basin, in the east of France, is being investigated by Andra as a potential host rock for this repository. Performance assessment of this natural barrier is based on the knowledge of its confinement properties and therefore on phenomena possibly involved in the mass transport of radionuclides. In this context, this work aimed at studying the distribution of tracers naturally present in pore waters obtained from boreholes having crossed Mesozoic sedimentary series involving impervious and compacted clay rocks in the East (Andra borehole, EST433) and south of France (IRSN boreholes). Radial diffusion and vapour exchange methods were used to calculate the concentrations and diffusion parameters of the studied tracers. In Tournemire formations, the different profiles describe a curved shapes attributed to a diffusive exchange between the argillite pore water and the surrounding aquifers. Concerning the Mesozoic formations crossed by EST433, the study of the different profiles confirms the diffusion as the dominant transport mechanism in the Callovo-Oxfordian formation, and permits identifying the transport processes in the whole studied column from the Oxfordian formations down to the Liassic one. This study also helps to identify the Liassic formations as a major source of salinity of the Dogger aquifer
Full Text Available This article reports on a study which used the APOS (action-process-object-schema theoretical framework to investigate university students' understanding of derivatives and their applications. Research was done at the Westville Campus of the University of KwaZulu-Natal in South Africa. The relevant rules for finding derivatives and their applications were taught to undergraduate science students. This paper reports on the analysis of students' responses to six types of questions on derivatives and their applications. The findings of this study suggest that those students had difficulty in applying the rules for derivatives and this was possibly the result of many students not having appropriate mental structures at the process, object and schema levels.
Borges, Olga; Lebre, Filipa; Bento, Dulce; Borchard, Gerrit; Junginger, Hans E
It has long been known that protection against pathogens invading the organism via mucosal surfaces correlates better with the presence of specific antibodies in local secretions than with serum antibodies. The most effective way to induce mucosal immunity is to administer antigens directly to the mucosal surface. The development of vaccines for mucosal application requires antigen delivery systems and immunopotentiators that efficiently facilitate the presentation of the antigen to the mucosal immune system. This review provides an overview of the events within mucosal tissues that lead to protective mucosal immune responses. The understanding of those biological mechanisms, together with knowledge of the technology of vaccines and adjuvants, provides guidance on important technical aspects of mucosal vaccine design. Not being exhaustive, this review also provides information related to modern adjuvants, including polymeric delivery systems and immunopotentiators.
Clody, Michael C
The essay argues that Francis Bacon's considerations of parables and cryptography reflect larger interpretative concerns of his natural philosophic project. Bacon describes nature as having a language distinct from those of God and man, and, in so doing, establishes a central problem of his natural philosophy—namely, how can the language of nature be accessed through scientific representation? Ultimately, Bacon's solution relies on a theory of differential and duplicitous signs that conceal within them the hidden voice of nature, which is best recognized in the natural forms of efficient causality. The "alphabet of nature"—those tables of natural occurrences—consequently plays a central role in his program, as it renders nature's language susceptible to a process and decryption that mirrors the model of the bilateral cipher. It is argued that while the writing of Bacon's natural philosophy strives for literality, its investigative process preserves a space for alterity within scientific representation, that is made accessible to those with the interpretative key.
Thao-Do, Thi Phuong; Yuenyong, Chokchai
Scholars proved nature of science (NOS) has made certain contributions to science teaching and learning. Nonetheless, what, how and how much NOS should be integrated in the science curriculum of each country cannot be a benchmark, due to the influence of culture and society. Before employing NOS in a new context, it should be carefully studied. In assessing views of NOS in Vietnam, a developing country with Eastern culture where the NOS is not consider a compulsory learning outcome, there are several issues that researchers and educators should notice to develop an appropriate instrument that can clearly exhibit a NOS view of Vietnamese. They may include: time for the survey; length, content, type, and terms of the questionnaire; Vietnamese epistemology and philosophy; and some other Vietnamese social and cultural aspects. The most important reason for these considerations is that a Vietnamese view of NOS and NOS assessment possibly differs from the Western ideas due to the social and cultural impact. As a result, a Western assessment tool may become less effective in an Eastern context. The suggestions and implications in this study were derived from a prolonged investigation on Vietnamese science teacher educators and student teachers of School of Education, at Can Tho University, a State University in Mekong Delta region, Vietnam.
Seah, Lay Hoon; Clarke, David; Hart, Christina
This study examines how a class of Grade 7 students employed linguistic resources to explain density differences. Drawing from the same data-set as a previous study by, we take a language perspective to investigate the challenges students face in learning the concept of density. Our study thus complements previous research on learning about density which has mostly focussed on the conceptual challenges. The data consist of transcripts of lessons on density and students' written assignments. Using selected analytical categories from the Systemic Functional Linguistics framework, we first examined students' use of linguistic resources in their written reports of a practical activity. We then compared the language employed by the students with the instructional language, identifying possible links. Our analysis identified specific aspects of language that the students need to appropriate in order to express an understanding of density that aligns with a scientific perspective. The findings from this study illuminate ways by which teachers could assist students in overcoming the linguistic challenges in explaining density differences, which complement those made by existing studies that focus on conceptual challenges.
Seah, Lay Hoon
This study is an attempt to examine the use of linguistic resources by primary science students so as to understand the conceptual and language demands encountered by them when constructing written explanations. The students' written explanations and the instructional language (whole-class discussion and textbook) employed over the topic, the life cycle of plants, in four grade 4 classrooms (age 10) taught by three teachers constitute the data for this study. Students' written explanations were subjected to a combination of content and linguistic analysis. The linguistic analysis was conducted using selected analytical tools from the systemic functional linguistics framework. A diversity of linguistic resources and meanings were identified from the students' explanations, which reveal the extent to which the students were able to employ linguistic resources to construct written scientific explanations and the challenges involved. Both content and linguistic analyses also illuminate patterns of language use that are significant for realising scientific meanings. Finally, a comparison is made in the use of linguistic resources between the students' explanations and the instructional language to highlight possible links. This comparison reveals that the teachers' expectations of the students' written explanations were seldom reflected in their oral questioning or made explicit during the instruction. The findings of this study suggest that a focus on conceptual development is not sufficient in itself to foster students' ability to construct explanations. Pedagogical implications involving the support needed by primary students to construct scientific explanations are discussed.
Denning, R. S.
This paper describes the evolution of understanding of severe accident consequences from the non-mechanistic assumptions of WASH-740 to WASH-1400, NUREG-1150, SOARCA and today in the interpretation of the consequences of the accident at Fukushima. As opposed to the general perception, the radiological human health consequences to members of the Japanese public from the Fukushima accident will be small despite meltdowns at three reactors and loss of containment integrity. In contrast, the radiation-related societal impacts present a substantial additional economic burden on top of the monumental task of economic recovery from the nonnuclear aspects of the earthquake and tsunami damage. The Fukushima accident provides additional evidence that we have mis-characterized the risk of nuclear power plant accidents to ourselves and to the public. The human health risks are extremely small even to people living next door to a nuclear power plant. The principal risk associated with a nuclear power plant accident involves societal impacts: relocation of people, loss of land use, loss of contaminated products, decontamination costs and the need for replacement power. Although two of the three probabilistic safety goals of the NRC address societal risk, the associated quantitative health objectives in reality only address individual human health risk. This paper describes the types of analysis that would address compliance with the societal goals. (authors)
Bisikalo Oleg V.
Full Text Available The task of evaluating uncertainty in the measurement of sense in natural language constructions (NLCs was researched through formalization of the notions of the language image, formalization of artificial cognitive systems (ACSs and the formalization of units of meaning. The method for measuring the sense of natural language constructions incorporated fuzzy relations of meaning, which ensures that information about the links between lemmas of the text is taken into account, permitting the evaluation of two types of measurement uncertainty of sense characteristics. Using developed applications programs, experiments were conducted to investigate the proposed method to tackle the identification of informative characteristics of text. The experiments resulted in dependencies of parameters being obtained in order to utilise the Pareto distribution law to define relations between lemmas, analysis of which permits the identification of exponents of an average number of connections of the language image as the most informative characteristics of text.
Large, David R; Clark, Leigh; Quandt, Annie; Burnett, Gary; Skrypchuk, Lee
Given the proliferation of 'intelligent' and 'socially-aware' digital assistants embodying everyday mobile technology - and the undeniable logic that utilising voice-activated controls and interfaces in cars reduces the visual and manual distraction of interacting with in-vehicle devices - it appears inevitable that next generation vehicles will be embodied by digital assistants and utilise spoken language as a method of interaction. From a design perspective, defining the language and interaction style that a digital driving assistant should adopt is contingent on the role that they play within the social fabric and context in which they are situated. We therefore conducted a qualitative, Wizard-of-Oz study to explore how drivers might interact linguistically with a natural language digital driving assistant. Twenty-five participants drove for 10 min in a medium-fidelity driving simulator while interacting with a state-of-the-art, high-functioning, conversational digital driving assistant. All exchanges were transcribed and analysed using recognised linguistic techniques, such as discourse and conversation analysis, normally reserved for interpersonal investigation. Language usage patterns demonstrate that interactions with the digital assistant were fundamentally social in nature, with participants affording the assistant equal social status and high-level cognitive processing capability. For example, participants were polite, actively controlled turn-taking during the conversation, and used back-channelling, fillers and hesitation, as they might in human communication. Furthermore, participants expected the digital assistant to understand and process complex requests mitigated with hedging words and expressions, and peppered with vague language and deictic references requiring shared contextual information and mutual understanding. Findings are presented in six themes which emerged during the analysis - formulating responses; turn-taking; back
Çetinkaya-Aydın, Gamze; Çakıroğlu, Jale
The purpose of this study was to investigate the possible associations between preservice science teachers' understanding of nature of science and their learner characteristics; understanding of nature of scientific inquiry, science teaching self-efficacy beliefs, metacognitive awareness level, and faith/worldview schemas. The sample of the current study was 60 3rd-year preservice science teachers enrolled in the Nature of Science and History of Science course. Using a descriptive and associational case study design, data were collected by means of different qualitative and quantitative questionnaires. Analysis of the data revealed that preservice science teachers' understanding of nature of science and nature of scientific inquiry were highly associated. Similarly, science teaching self-efficacy beliefs, metacognitive awareness levels, and faith/worldviews of the preservice science teachers were found to be significantly associated with their understanding of nature of science. Thus, it can be concluded that there might be other factors interfering with the learning processes of nature of science.
Swartz, Jordan; Koziatek, Christian; Theobald, Jason; Smith, Silas; Iturrate, Eduardo
Testing for venous thromboembolism (VTE) is associated with cost and risk to patients (e.g. radiation). To assess the appropriateness of imaging utilization at the provider level, it is important to know that provider's diagnostic yield (percentage of tests positive for the diagnostic entity of interest). However, determining diagnostic yield typically requires either time-consuming, manual review of radiology reports or the use of complex and/or proprietary natural language processing software. The objectives of this study were twofold: 1) to develop and implement a simple, user-configurable, and open-source natural language processing tool to classify radiology reports with high accuracy and 2) to use the results of the tool to design a provider-specific VTE imaging dashboard, consisting of both utilization rate and diagnostic yield. Two physicians reviewed a training set of 400 lower extremity ultrasound (UTZ) and computed tomography pulmonary angiogram (CTPA) reports to understand the language used in VTE-positive and VTE-negative reports. The insights from this review informed the arguments to the five modifiable parameters of the NLP tool. A validation set of 2,000 studies was then independently classified by the reviewers and by the tool; the classifications were compared and the performance of the tool was calculated. The tool was highly accurate in classifying the presence and absence of VTE for both the UTZ (sensitivity 95.7%; 95% CI 91.5-99.8, specificity 100%; 95% CI 100-100) and CTPA reports (sensitivity 97.1%; 95% CI 94.3-99.9, specificity 98.6%; 95% CI 97.8-99.4). The diagnostic yield was then calculated at the individual provider level and the imaging dashboard was created. We have created a novel NLP tool designed for users without a background in computer programming, which has been used to classify venous thromboembolism reports with a high degree of accuracy. The tool is open-source and available for download at http
This volume examines mathematics as a product of the human mind and analyzes the language of "pure mathematics" from various advanced-level sources. Through analysis of the foundational texts of mathematics, it is demonstrated that math is a complex literary creation, containing objects, actors, actions, projection, prediction, planning, explanation, evaluation, roles, image schemas, metonymy, conceptual blending, and, of course, (natural) language. The book follows the narrative of mathematics in a typical order of presentation for a standard university-level algebra course, beginning with analysis of set theory and mappings and continuing along a path of increasing complexity. At each stage, primary concepts, axioms, definitions, and proofs will be examined in an effort to unfold the tell-tale traces of the basic human cognitive patterns of story and conceptual blending. This book will be of interest to mathematicians, teachers of mathematics, cognitive scientists, cognitive linguists, and anyone interested...
Gerlach, Martin; Altmann, Eduardo G.
We propose a stochastic model for the number of different words in a given database which incorporates the dependence on the database size and historical changes. The main feature of our model is the existence of two different classes of words: (i) a finite number of core words, which have higher frequency and do not affect the probability of a new word to be used, and (ii) the remaining virtually infinite number of noncore words, which have lower frequency and, once used, reduce the probability of a new word to be used in the future. Our model relies on a careful analysis of the Google Ngram database of books published in the last centuries, and its main consequence is the generalization of Zipf’s and Heaps’ law to two-scaling regimes. We confirm that these generalizations yield the best simple description of the data among generic descriptive models and that the two free parameters depend only on the language but not on the database. From the point of view of our model, the main change on historical time scales is the composition of the specific words included in the finite list of core words, which we observe to decay exponentially in time with a rate of approximately 30 words per year for English.
Pelger, Susanne; Sigrell, Anders
Background: Feedback is one of the most significant factors for students' development of writing skills. For feedback to be successful, however, students and teachers need a common language - a meta-language - for discussing texts. Not least because in science education such a meta-language might contribute to improve writing training and feedback-giving. Purpose: The aim of this study was to explore students' perception of teachers' feedback given on their texts in two genres, and to suggest how writing training and feedback-giving could become more efficient. Sample: In this study were included 44 degree project students in biology and molecular biology, and 21 supervising teachers at a Swedish university. Design and methods: The study concerned students' writing about their degree projects in two genres: scientific writing and popular science writing. The data consisted of documented teacher feedback on the students' popular science texts. It also included students' and teachers' answers to questionnaires about writing and feedback. All data were collected during the spring of 2012. Teachers' feedback, actual and recalled - by students and teachers, respectively - was analysed and compared using the so-called Canons of rhetoric. Results: While the teachers recalled the given feedback as mainly positive, most students recalled only negative feedback. According to the teachers, suggested improvements concerned firstly the content, and secondly the structure of the text. In contrast, the students mentioned language style first, followed by content. Conclusions: The disagreement between students and teachers regarding how and what feedback was given on the students texts confirm the need of improved strategies for writing training and feedback-giving in science education. We suggest that the rhetorical meta-language might play a crucial role in overcoming the difficulties observed in this study. We also discuss how training of writing skills may contribute to
Çetinkaya-Aydin, Gamze; Çakiroglu, Jale
The purpose of this study was to investigate the possible associations between preservice science teachers' understanding of nature of science and their learner characteristics; understanding of nature of scientific inquiry, science teaching self-efficacy beliefs, metacognitive awareness level, and faith/worldview schemas. The sample of the…
Namgoong, Hyun; Kim, Hong-Gee
In recent years, CNL (Controlled Natural Language) has received much attention with regard to ontology-based knowledge acquisition systems. CNLs, as subsets of natural languages, can be useful for both humans and computers by eliminating ambiguity of natural languages. Our previous work, OntoPath , proposed to edit natural language-like narratives that are structured in RDF (Resource Description Framework) triples, using a domain-specific ontology as their language constituents. However, our previous work and other systems employing CFG for grammar definition have difficulties in enlarging the expression capacity. A newly developed editor, which we propose in this paper, permits grammar definitions through CFG-LD (Context-Free Grammar with Lexical Dependency) that includes sequential and semantic structures of the grammars. With CFG describing the sequential structure of grammar, lexical dependencies between sentence elements can be designated in the definition system. Through the defined grammars, the implemented editor guides users' narratives in more familiar expressions with a domain-specific ontology and translates the content into RDF triples.
Feng, Qiangze; Qi, Hongwei; Fukushima, Toshikazu
Information services accessed via mobile phones provide information directly relevant to subscribers’ daily lives and are an area of dynamic market growth worldwide. Although many information services are currently offered by mobile operators, many of the existing solutions require a unique gateway for each service, and it is inconvenient for users to have to remember a large number of such gateways. Furthermore, the Short Message Service (SMS) is very popular in China and Chinese users would prefer to access these services in natural language via SMS. This chapter describes a Natural Language Based Service Selection System (NL3S) for use with a large number of mobile information services. The system can accept user queries in natural language and navigate it to the required service. Since it is difficult for existing methods to achieve high accuracy and high coverage and anticipate which other services a user might want to query, the NL3S is developed based on a Multi-service Ontology (MO) and Multi-service Query Language (MQL). The MO and MQL provide semantic and linguistic knowledge, respectively, to facilitate service selection for a user query and to provide adaptive service recommendations. Experiments show that the NL3S can achieve 75-95% accuracies and 85-95% satisfactions for processing various styles of natural language queries. A trial involving navigation of 30 different mobile services shows that the NL3S can provide a viable commercial solution for mobile operators.
The purpose of this qualitative study was to discover the influence of instructional games on middle school learners' use of scientific language, concept understanding, and attitude toward learning science. The rationale for this study stemmed from the lack of research concerning the value of play as an instructional strategy for older learners. Specifically, the study focused on the ways in which 6 average ability 7th grade students demonstrated scientific language and concept use during gameplay. The data were collected for this 6-week study in a southern New Jersey suburban middle school and included audio recordings of the 5 games observed in class, written documents (e.g., student created game questions, self-evaluation forms, pre- and post-assessments, and the final quiz) interviews, and researcher field notes. Data were coded and interpreted borrowing from the framework for scientific literacy developed by Bybee (1997). Based on the findings, the framework was modified to reflect the level of scientific understanding demonstrated by the participants and categorized as: Unacquainted, Nominal, Functional, and Conceptual. Major findings suggested that the participants predominantly achieved the Functional level of scientific literacy (i.e., the ability to adequately and appropriately use scientific language in both written and oral discourse) during games. Further, it was discovered that the participants achieved the Conceptual level of scientific literacy during gameplay. Through games participants were afforded the opportunity to use common, everyday language to explore concepts, promoted through peer collaboration. In games the participants used common language to build understandings that exceeded Nominal or token use of the technical vocabulary and concepts. Additionally, the participants reported through interviews and self-evaluation forms that their attitude (patterns included: Motivation, Interest, Fun, Relief from Boredom, and an Alternate Learning
Arnold, V I
This collection of 39 short stories gives the reader a unique opportunity to take a look at the scientific philosophy of Vladimir Arnold, one of the most original contemporary researchers. Topics of the stories included range from astronomy, to mirages, to motion of glaciers, to geometry of mirrors and beyond. In each case Arnold's explanation is both deep and simple, which makes the book interesting and accessible to an extremely broad readership. Original illustrations hand drawn by the author help the reader to further understand and appreciate Arnold's view on the relationship between math
Full Text Available This study deals with learner language known as interlanguage; in particular, this tries to investigate its nature. For this purpose, an empirical study was conducted, using Indonesian senior high school learners learning English as the research subjects. This study used error analysis as methodological framework. The data were in the form of interlanguage errors collected from the learners‘ free compositions prior and after an error treatment. The data were analyzed qualitatively. The research indicates that Error treatment was proved to have significant contribution to the destabilization process; that is to say, it helped the learners‘ interlanguage errors change their nature: at a certain period of learning, some particular errors should appear as inevitable part of learning process; as a result of error treatment they change their nature. It was observed that the change of state of interlanguage errors was stimulated by several classroom aspects, namely: input, feedback, explicit grammar explanation, and practice. The conclusion is that the learner language is dynamic in nature.
Buijs, A.E.; Hovardas, T.; Figari, H.; Castro, P.; Devine-Wright, P.; Fischer, A.; Mouro, C.; Selge, S.
Ongoing fragmentation between social groups on the appropriate targets and relevant actors for nature conservation signals the need for further advancements in theorizing about the human–nature interaction. Through a focus on the complexity of social thought and confrontations between social groups,
Full Text Available In the geolocation field where high-level programs and low-level devices coexist, it is often difficult to find a friendly user interface to configure all the parameters. The challenge addressed in this paper is to propose intuitive and simple, thus natural language interfaces to interact with low-level devices. Such interfaces contain natural language processing (NLP and fuzzy representations of words that facilitate the elicitation of business-level objectives in our context. A complete methodology is proposed, from the lexicon construction to a dialogue software agent including a fuzzy linguistic representation, based on synonymy.
Full Text Available The precedent studies on the validity of Modus ponens and Modus tollens have been carried out with most regard to a major type of conditionals in which the conditional clause is a sufficient condition for the main clause. But we sometimes, in natural language arguments, find other types of conditionals in which the conditional clause is a necessary or necessary and sufficient condition for the main clause. In this paper I reappraise, on the basis of new definitions of Modus ponens and Modus tollens, their validity/invalidity in natural language arguments in consideration of all types of conditionals.
Full Text Available Hermetic textbook language poses a significant problem in education of the young in our country. The goal of this paper is to point out to the complexity of vocabulary in textbooks, which contributes to students' lack of understanding of what they are reading. Since we established that textbooks in narrative subjects - history, geography and biology - are mostly used during studying and that students mark them as especially difficult for understanding, the subject of this research is precisely the analysis of words which seventh-grade students from primary school state as unfamiliar on a randomly selected, but balanced in terms of length, textbook text of those subjects. The results of frequency analysis indicate that there are a lot of unfamiliar expert words, and frequently the same number, or even more, of common Serbian words in textbook texts, especially in history. Approximately the same or even larger number of unfamiliar words occurs in familiar texts when compared to unfamiliar, which indicates that the previous usage of texts does not contribute to their understanding. Based on correlation analysis referring to the number of unfamiliar words, frequency of textbook usage, perception of difficulty of the text in textbook, general and the achievement in the particular subject, it was determined that unfamiliar words are not only mentioned by students with low grades, although they do it more often, nor that only these students are the ones complaining how difficult textbooks are to them. Based on regression analysis, the number of unfamiliar words, especially in the history textbook, even figures as a predictor of success, which seems contradictory and can be interpreted differently. The results point out to the fact that inaccessibility of textbook language mostly does not guide the students to learn new words, but causes revolt and thus disables the development of language, scientific concepts and acquiring professional terminology
Mott, David H.; Shemanski, Donald R.; Giammanco, Cheryl; Braines, Dave
A key aspect of an analyst's task in providing relevant information from data is the reasoning about the implications of that data, in order to build a picture of the real world situation. This requires human cognition, based upon domain knowledge about individuals, events and environmental conditions. For a computer system to collaborate with an analyst, it must be capable of following a similar reasoning process to that of the analyst. We describe ITA Controlled English (CE), a subset of English to represent analyst's domain knowledge and reasoning, in a form that it is understandable by both analyst and machine. CE can be used to express domain rules, background data, assumptions and inferred conclusions, thus supporting human-machine interaction. A CE reasoning and modeling system can perform inferences from the data and provide the user with conclusions together with their rationale. We present a logical problem called the "Analysis Game", used for training analysts, which presents "analytic pitfalls" inherent in many problems. We explore an iterative approach to its representation in CE, where a person can develop an understanding of the problem solution by incremental construction of relevant concepts and rules. We discuss how such interactions might occur, and propose that such techniques could lead to better collaborative tools to assist the analyst and avoid the "pitfalls".
Full Text Available The goal of the paper is to show that language can support social and intercultural competence of both students and teachers: one of the ways to do it is teaching cultural taboos and taboo language for intercultural awareness and understanding. The current state of the art in the field points to an increasing interest in the teaching of taboos. The material we analysed consisted in 238 offensive, vulgar and obscene English words that both students and teachers should know to attain social and intercultural competence. The method used is the descriptive one. The degree of novelty is rather high in our cultural area. Results show that there are 134 offensive (slang words and expressions (referring to the country of origin or to an ethnic group, to sex and sex-related issues (sexual orientation, to race, etc., 75 vulgar words and expressions (referring to sex and sex-related issues, to body parts, to people, etc., and 29 obscene words and expressions (referring to body secretions, to sex and sex-related issues, to people, etc.. There seems to be no research limitations given the lexicographic sources that we used. The implications of teaching cultural taboos and taboo language at tertiary level concern both the students and teachers and the organisation they belong to. The paper is original and relevant given the process of globalisation.
Olson, Andrea M; Swabey, Laurie
Despite federal laws that mandate equal access and communication in all healthcare settings for deaf people, consistent provision of quality interpreting in healthcare settings is still not a reality, as recognized by deaf people and American Sign Language (ASL)-English interpreters. The purpose of this study was to better understand the work of ASL interpreters employed in healthcare settings, which can then inform on training and credentialing of interpreters, with the ultimate aim of improving the quality of healthcare and communication access for deaf people. Based on job analysis, researchers designed an online survey with 167 task statements representing 44 categories. American Sign Language interpreters (N = 339) rated the importance of, and frequency with which they performed, each of the 167 tasks. Categories with the highest average importance ratings included language and interpreting, situation assessment, ethical and professional decision making, manage the discourse, monitor, manage and/or coordinate appointments. Categories with the highest average frequency ratings included the following: dress appropriately, adapt to a variety of physical settings and locations, adapt to working with variety of providers in variety of roles, deal with uncertain and unpredictable work situations, and demonstrate cultural adaptability. To achieve health equity for the deaf community, the training and credentialing of interpreters needs to be systematically addressed.
Bedore, Lisa M; Peña, Elizabeth D; Anaya, Jissel B; Nieto, Ricardo; Lugo-Neris, Mirza J; Baron, Alisa
This study examines English performance on a set of 11 grammatical forms in Spanish-English bilingual, school-age children in order to understand how item difficulty of grammatical constructions helps correctly classify language impairment (LI) from expected variability in second language acquisition when taking into account linguistic experience and exposure. Three hundred seventy-eight children's scores on the Bilingual English-Spanish Assessment-Middle Extension (Peña, Bedore, Gutiérrez-Clellen, Iglesias, & Goldstein, 2008) morphosyntax cloze task were analyzed by bilingual experience groups (high Spanish experience, balanced English-Spanish experience, high English experience, ability (typically developing [TD] vs. LI), and grammatical form. Classification accuracy was calculated for the forms that best differentiated TD and LI groups. Children with LI scored lower than TD children across all bilingual experience groups. There were differences by grammatical form across bilingual experience and ability groups. Children from high English experience and balanced English-Spanish experience groups could be accurately classified on the basis of all the English grammatical forms tested except for prepositions. For bilinguals with high Spanish experience, it was possible to rule out LI on the basis of grammatical production but not rule in LI. It is possible to accurately identify LI in English language learners once they use English 40% of the time or more. However, for children with high Spanish experience, more information about development and patterns of impairment is needed to positively identify LI.
Full Text Available Working memory is important for online language processing during conversation. We use it to maintain relevant information, to inhibit or ignore irrelevant information, and to attend to conversation selectively. Working memory helps us to keep track of and actively participate in conversation, including taking turns and following the gist. This paper examines the Ease of Language Understanding model (i.e., the ELU model, Rönnberg, 2003; Rönnberg et al., 2008 in light of new behavioral and neural findings concerning the role of working memory capacity (WMC in uni-modal and bimodal language processing. The new ELU model is a meaning prediction system that depends on phonological and semantic interactions in rapid implicit and slower explicit processing mechanisms that both depend on WMC albeit in different ways. A revised ELU model is proposed based on findings that address the relationship between WMC and (a early attention processes in listening to speech, (b signal processing in hearing aids and its effects on short-term memory, (c inhibition of speech maskers and its effect on episodic long-term memory, (d the effects of hearing impairment on episodic and semantic long-term memory, and finally, (e listening effort. New predictions and clinical implications are outlined. Comparisons with other WMC and speech perception models are made.
Fitzpatrick, A.Liam; /Boston U.; Kaplan, Jared; /SLAC; Penedones, Joao; /Perimeter Inst. Theor. Phys.; Raju, Suvrat; /Harish-Chandra Res. Inst.; van Rees, Balt C.; /YITP, Stony Brook
We provide dramatic evidence that 'Mellin space' is the natural home for correlation functions in CFTs with weakly coupled bulk duals. In Mellin space, CFT correlators have poles corresponding to an OPE decomposition into 'left' and 'right' sub-correlators, in direct analogy with the factorization channels of scattering amplitudes. In the regime where these correlators can be computed by tree level Witten diagrams in AdS, we derive an explicit formula for the residues of Mellin amplitudes at the corresponding factorization poles, and we use the conformal Casimir to show that these amplitudes obey algebraic finite difference equations. By analyzing the recursive structure of our factorization formula we obtain simple diagrammatic rules for the construction of Mellin amplitudes corresponding to tree-level Witten diagrams in any bulk scalar theory. We prove the diagrammatic rules using our finite difference equations. Finally, we show that our factorization formula and our diagrammatic rules morph into the flat space S-Matrix of the bulk theory, reproducing the usual Feynman rules, when we take the flat space limit of AdS/CFT. Throughout we emphasize a deep analogy with the properties of flat space scattering amplitudes in momentum space, which suggests that the Mellin amplitude may provide a holographic definition of the flat space S-Matrix.
Full Text Available Pragmatics is the study of the relation of signs to interpreters. For English foreign language (EFL learners, the knowledge and comprehensible input of pragmatics is much needed. This paper is based on research project. The writer did the research survey by giving some respondents questionnaire. The respondent is some students from UAD, which is taken randomly. Besides using open questionnaire, the writer also got the data from in depth interview with some EFL learners, the native speaker who teaches English, and also did literature review from some books. The result of the research then gives some evidences that EFL learners difficulties in understanding the English pragmatics occurs in 1 greeting, 2 apologizing, 3 complimenting, and 4 thanking. The factors that promotes EFL learners’ difficulties in understanding because 1 the different culture and values between native speaker and learners; 2 habit that the usually use in their daily life.
John T. Murphy
Full Text Available Natural language processing (NLP and named entity recognition (NER techniques are applied to collections of newspaper articles from four cities in the U.S. Southwest. The results are used to generate a network of water management institutions that reflect public perceptions of water management and the structure of water management in these areas. This structure can be highly centralized or fragmented; in the latter case, multiple peer institutions exist that may cooperate or be in conflict. This is reflected in the public discourse of the water consumers in these areas and can, we contend, impact the potential responses of management agencies to challenges of water supply and quality and, in some cases, limit their effectiveness. Flagstaff, AZ, Tucson, AZ, Las Vegas, NV, and the Grand Valley, CO, are examined, including more than 110,000 articles from 2004–2012. Documents are scored by association with water topics, and phrases likely to be institutions are extracted via custom NLP and NER algorithms; those institutions associated with water-related documents are used to form networks via document co-location. The Grand Valley is shown to have a markedly different structure, which we contend reflects the different historical trajectory of its development and its current state, which includes multiple institutions of roughly equal scope and size. These results demonstrate the utility of using NLP and NER methods to understanding the structure and variation of water management systems.
Kerlyl, Alice; Hall, Phil; Bull, Susan
There is an extensive body of work on Intelligent Tutoring Systems: computer environments for education, teaching and training that adapt to the needs of the individual learner. Work on personalisation and adaptivity has included research into allowing the student user to enhance the system's adaptivity by improving the accuracy of the underlying learner model. Open Learner Modelling, where the system's model of the user's knowledge is revealed to the user, has been proposed to support student reflection on their learning. Increased accuracy of the learner model can be obtained by the student and system jointly negotiating the learner model. We present the initial investigations into a system to allow people to negotiate the model of their understanding of a topic in natural language. This paper discusses the development and capabilities of both conversational agents (or chatbots) and Intelligent Tutoring Systems, in particular Open Learner Modelling. We describe a Wizard-of-Oz experiment to investigate the feasibility of using a chatbot to support negotiation, and conclude that a fusion of the two fields can lead to developing negotiation techniques for chatbots and the enhancement of the Open Learner Model. This technology, if successful, could have widespread application in schools, universities and other training scenarios.
Full Text Available Controlling robots by natural language (NL is increasingly attracting attention for its versatility, convenience and no need of extensive training for users. Grounding is a crucial challenge of this problem to enable robots to understand NL instructions from humans. This paper mainly explores the object grounding problem and concretely studies how to detect target objects by the NL instructions using an RGB-D camera in robotic manipulation applications. In particular, a simple yet robust vision algorithm is applied to segment objects of interest. With the metric information of all segmented objects, the object attributes and relations between objects are further extracted. The NL instructions that incorporate multiple cues for object specifications are parsed into domain-specific annotations. The annotations from NL and extracted information from the RGB-D camera are matched in a computational state estimation framework to search all possible object grounding states. The final grounding is accomplished by selecting the states which have the maximum probabilities. An RGB-D scene dataset associated with different groups of NL instructions based on different cognition levels of the robot are collected. Quantitative evaluations on the dataset illustrate the advantages of the proposed method. The experiments of NL controlled object manipulation and NL-based task programming using a mobile manipulator show its effectiveness and practicability in robotic applications.
Henning Salling Olesen
Full Text Available The article is a guided tour to Alfred LORENZER's proposal for an "in-depth hermeneutic" cultural analysis methodology which was launched in an environment with an almost complete split between social sciences and psychology/psychoanalysis. It presents the background in his materialist socialization theory, which combines a social reinterpretation of the core insights in classical psychoanalysis—the unconscious, the drives—with a theory of language acquisition. His methodology is based on a transformation of the "scenic understanding" from a clinical to a text interpretation, which seeks to understand collective unconscious meaning in text, and is presented with an illustration of the interpretation procedure from social research. Then follows a brief systematic account of key concepts and ideas—interaction forms, engrams, experience, symbolization, language game, utopian imagination—with an outlook to the social theory connections to the Frankfurt School. The practical interpretation procedure in a LORENZER-based psycho-societal research is briefly summarized, emphasizing the role of the researcher subjects in discovering socially unconscious meaning in social interaction. Finally an outlook to contemporary epistemological issues. LORENZER's approach to theorize and research the subject as a socially produced entity appears as a psycho-societal alternative to mainstream social constructivism. URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs1203229
Manjet Kaur Mehar Singh
Full Text Available Malaysian intercultural society is typified by three major ethnic groups mainly Malays, Chinese and Indians. Although education system is the best tool for these three major ethnic groups to work together, contemporary research reveals that there is still lack of intercultural embedding education context and national schools are seen as breeding grounds of racial polarisation. In Malaysian context, there is a gap in research that focuses on the design of a proper intercultural reading framework for national integration and such initiatives are viable through schools. The main objective of this conceptual paper is to introduce the English Language Intercultural Reading Programme (ELIRP in secondary schools to promote intercultural understanding among secondary school students. The proposed framework will facilitate the acquisition of intercultural inputs without being constrained by ideological, political, or psychological demands. This article will focus on elucidating how ELIRP could affect cognitive (knowledge and behavioural transformations to intercultural perceptions harboured by selected Form 4 students of 20 national schools in Malaysia. Keywords: behavior, knowledge, intercultural reading framework, intercultural understanding, English Language Intercultural Reading Programme, secondary school students
Students may use the technical engineering terms without knowing what these words mean. This creates a language barrier in engineering that influences student learning. Previous research has been conducted to characterize the difference between colloquial and scientific language. Since this research had not yet been applied explicitly to…
Arciuli, Joanne; Torkildsen, Janne von Koss
Mastery of language can be a struggle for some children. Amongst those that succeed in achieving this feat there is variability in proficiency. Cognitive scientists remain intrigued by this variation. A now substantial body of research suggests that language acquisition is underpinned by a child's capacity for statistical learning (SL). Moreover, a growing body of research has demonstrated that variability in SL is associated with variability in language proficiency. Yet, there is a striking lack of longitudinal data. To date, there has been no comprehensive investigation of whether a capacity for SL in young children is, in fact, associated with language proficiency in subsequent years. Here we review key studies that have led to the need for this longitudinal research. Advancing the language acquisition debate via longitudinal research has the potential to transform our understanding of typical development as well as disorders such as autism, specific language impairment, and dyslexia.
Argues that the structure of language reflects and reproduces the dominant model, and reinforces many of the dualistic assumptions which underlie the separation of male and female, nature and culture, mind from body, emotion from reason, and intuition from fact. (LZ)
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S.
This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…
Miller, Trudi; Leroy, Gondy
Increased availability of and reliance on written health information can tax the abilities of unskilled readers. We are developing a system that uses natural language processing to extract phrases, identify medical terms using the UMLS, and visualize the propositions. This system substantially reduces the amount of information a consumer must read, while providing an alternative to traditional prose based text.
N. Kang (Ning)
textabstractThis thesis concerns the use of natural language processing for improving biomedical concept normalization and relation mining. We begin with introducing the background of biomedical text mining, and subsequently we will continue by describing a typical text mining pipeline, some key
Stoianov, [No Value; Nerbonne, J; Bouma, H; Coppen, PA; vanHalteren, H; Teunissen, L
Simple Recurrent Networks (SRN) are Neural Network (connectionist) models able to process natural language. Phonotactics concerns the order of symbols in words. We continued an earlier unsuccessful trial to model the phonotactics of Dutch words with SRNs. In order to overcome the previously reported
Kyle, Kristopher; Crossley, Scott A.; McNamara, Danielle S.
This study explores the construct validity of speaking tasks included in the TOEFL iBT (e.g., integrated and independent speaking tasks). Specifically, advanced natural language processing (NLP) tools, MANOVA difference statistics, and discriminant function analyses (DFA) are used to assess the degree to which and in what ways responses to these…
We introduce vector space based approaches to natural language processing and some of their similarities with quantum theory when applied to information retrieval. We explain how dimensional reduction is called for from both a practical and theoretical point of view and how this can be achieved through choice of product or through projectors onto subspaces.
Allen, Laura K.; McNamara, Danielle S.
The current study investigates the degree to which the lexical properties of students' essays can inform stealth assessments of their vocabulary knowledge. In particular, we used indices calculated with the natural language processing tool, TAALES, to predict students' performance on a measure of vocabulary knowledge. To this end, two corpora were…
Aysolmaz, Banu; Leopold, Henrik; Reijers, Hajo A.; Demirörs, Onur
Context: The analysis of requirements for business-related software systems is often supported by using business process models. However, the final requirements are typically still specified in natural language. This means that the knowledge captured in process models must be consistently
Leung, Constant; Scarino, Angela
Transformations associated with the increasing speed, scale, and complexity of mobilities, together with the information technology revolution, have changed the demography of most countries of the world and brought about accompanying social, cultural, and economic shifts (Heugh, 2013). This complex diversity has changed the very nature of…
Alexopoulou, Theodora; Michel, Marije; Murakami, Akira; Meurers, Detmar
Large-scale learner corpora collected from online language learning platforms, such as the EF-Cambridge Open Language Database (EFCAMDAT), provide opportunities to analyze learner data at an unprecedented scale. However, interpreting the learner language in such corpora requires a precise understanding of tasks: How does the prompt and input of a…
Lott, Jason P; Boudreau, Denise M; Barnhill, Ray L; Weinstock, Martin A; Knopp, Eleanor; Piepkorn, Michael W; Elder, David E; Knezevich, Steven R; Baer, Andrew; Tosteson, Anna N A; Elmore, Joann G
Population-based information on the distribution of histologic diagnoses associated with skin biopsies is unknown. Electronic medical records (EMRs) enable automated extraction of pathology report data to improve our epidemiologic understanding of skin biopsy outcomes, specifically those of melanocytic origin. To determine population-based frequencies and distribution of histologically confirmed melanocytic lesions. A natural language processing (NLP)-based analysis of EMR pathology reports of adult patients who underwent skin biopsies at a large integrated health care delivery system in the US Pacific Northwest from January 1, 2007, through December 31, 2012. Skin biopsy procedure. The primary outcome was histopathologic diagnosis, obtained using an NLP-based system to process EMR pathology reports. We determined the percentage of diagnoses classified as melanocytic vs nonmelanocytic lesions. Diagnoses classified as melanocytic were further subclassified using the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) reporting schema into the following categories: class I (nevi and other benign proliferations such as mildly dysplastic lesions typically requiring no further treatment), class II (moderately dysplastic and other low-risk lesions that may merit narrow reexcision with skin biopsies, performed on 47 529 patients, were examined. Nearly 1 in 4 skin biopsies were of melanocytic lesions (23%; n = 18 715), which were distributed according to MPATH-Dx categories as follows: class I, 83.1% (n = 15 558); class II, 8.3% (n = 1548); class III, 4.5% (n = 842); class IV, 2.2% (n = 405); and class V, 1.9% (n = 362). Approximately one-quarter of skin biopsies resulted in diagnoses of melanocytic proliferations. These data provide the first population-based estimates across the spectrum of melanocytic lesions ranging from benign through dysplastic to malignant. These results may serve as a foundation for future
Chinese Education, 1973
Guidelines for the development of teaching materials that reflect the realities of the Three Great Revolutionary Movements are presented. It is recommended that materials be in conformity with the language laws and advantageous to training for the basic mastery of language. (SM)
Parker, Catherine Frieda
A possible contributing factor to students' difficulty in learning advanced mathematics is the conflict between students' "natural" learning styles and the formal structure of mathematics, which is based on definitions, theorems, and proofs. Students' natural learning styles may be a function of their intuition and language skills. The purpose of…
us now address complex systems which include a substantial social component. We may start with economics and theory of finance. Given the long memory ...Entropy: A Unifying Path for Understanding Complexity in Natural, Artificial and Social Systems * Constantino Tsallis Centro Brasileiro de...Path for Understanding Complexity in Natural, Artificial and Social Systems 5a. CONTRACT NUMBER FA23861114006 5b. GRANT NUMBER 5c. PROGRAM ELEMENT
Fazeli, Seyed Hossein
This study aims to explore the nature of definitions and classifications of Language Learning Strategies (LLSs) in the current studies of second/foreign language learning in order to show the current problems regarding such definitions and classifications. The present study shows that there is not a universal agreeable definition and…
Mathematics and the Laws of Nature, Revised Edition describes the evolution of the idea that nature can be described in the language of mathematics. Colorful chapters explore the earliest attempts to apply deductive methods to the study of the natural world. This revised resource goes on to examine the development of classical conservation laws, including the conservation of momentum, the conservation of mass, and the conservation of energy. Chapters have been updated and revised to reflect recent information, including the mathematical pioneers who introduced new ideas about what it meant to
Cummine, Jacqueline; Boliek, Carol A
Recent studies using diffusion tensor imaging (DTI) have described overall white matter integrity in bilinguals but have not related structural neural pathways to language functions. The current study examined white matter integrity and its relationship to reading skill in monolingual English and bilingual Chinese-English speakers. Eleven monolingual speakers (mean age 28.5 years) and 13 bilingual speakers (mean age 24.2 years; English as a second language was acquired post 5 years of age) participated. Behavioural response times and accuracy rates to name regular and exception words were recorded. Participants were then scanned using a standardized DTI protocol. Fractional anisotropy (FA) and mean diffusivity values were derived from a voxelwise statistical analysis for comparisons between participant groups. Tests for relationships between response time and FA were also conducted. Our results show minimal regions of higher FA for monolinguals when compared to bilinguals and no regions of higher FA for bilinguals when compared to monolinguals, which indicates that white matter integrity may not stabilize in bilinguals until late adulthood. We do show several regions where an increase in FA is associated with faster response times. Interestingly, the FA-response time relationship varies between groups and between word types, which may reflect an increased processing demand for retrieval of difficult words (e.g., exception words). These results provide some support for the interference control and reduced frequency hypotheses outlined by Jones et al. (Cerebr Cortex 22:892-902, 2012). The current findings advance our understanding of the underlying cortical networks associated with language status and reading skill in monolingual and bilingual adults.
Reviews three books on the acquisition of Japanese as a second language: "Second Language Acquisition Process in the Classroom" by A.S. Ohta;"The Acquisition of Grammar by Learners of Japanese" (English translation of title), by H. Noda, K. Sakoda, K. Shibuya, and N. Kobayashi; and "The Acquisition of Japanese as a Second Language," B. K. Kanno,…
Martin-Dunlop, Catherine S.
This study investigated prospective elementary teachers' understandings of the nature of science and explored associations with their guided-inquiry science learning environment. Over 500 female students completed the Nature of Scientific Knowledge Survey (NSKS), although only four scales were analyzed-Creative, Testable, Amoral, and Unified. The…
Yoon, Sae Yeol
The purpose of this study was to explore the development of students' understanding through writing while immersed in an environment where there was a strong emphasis on a language-based argument inquiry approach. Additionally, this study explored students' spoken discourse to gain a better understanding of what role(s) talking plays in the development of understanding through writing. Finally, the study proposed a new concept of Discourse Space, which enabled researchers to improve their understanding of the characteristics of the development of student cognition through writing, and of the roles talking plays in cognitive development through writing. This study was guided by the research question: What patterns of the development of fifth grade students' cognition over time emerge in their private and public negotiations under a teacher who is ranked as a low-level implementer of the SWH approach? This question was divided into two sub-questions: (a) Throughout a unit, Ecosystems, what patterns emerge regarding the development of six fifth grade students' understanding through writing, and b) What patterns of the development of Discourse Space emerge through talking in three different contexts. In order to answer these questions, this qualitative research employed a generic qualitative study. Twenty-one fifth grade students participated in this study, and six students were purposefully selected through which to further investigate the development of an understanding of science through private negotiation while immersed in a language-based argument inquiry approach. Major data sources included students' writing samples, informal conversations with the teacher, researcher's field notes, and classroom videos. Additionally, the teacher's modified RTOP scores and semi-structured interviews were used to deepen the contextual understanding of the learning environment and the teacher's instructional performance. The data analysis was conducted by utilizing discourse
Adams, Christopher; Tate, Derrick
Patent textual descriptions provide a wealth of information that can be used to understand the underlying design approaches that result in the generation of novel and innovative technology. This article will discuss a new approach for estimating Degree of Ideality and Level of Invention metrics from the theory of inventive problem solving (TRIZ) using patent textual information. Patent text includes information that can be used to model both the functions performed by a design and the associated costs and problems that affect a design’s value. The motivation of this research is to use patent data with calculation of TRIZ metrics to help designers understand which combinations of system components and functions result in creative and innovative design solutions. This article will discuss in detail methods to estimate these TRIZ metrics using natural language processing and machine learning with the use of neural networks.
Full Text Available Classical cognitive theories hold that word representations in the brain are abstract and amodal, and are independent of the objects’ sensorimotor properties they refer to. An alternative hypothesis emphasises the importance of bodily processes in cognition: the representation of a concept appears to be crucially dependent upon perceptual-motor processes that relate to it. Thus, understanding action-related words would rely upon the same motor structures that also support the execution of the same actions. In this context, motor simulation represents a key component. Our approach is to draw parallels between the literature on mental rotation and the literature on action verb/sentence processing. Here we will discuss recent studies on mental imagery, mental rotation, and language that clearly demonstrate how motor simulation is neither automatic nor necessary to language understanding. These studies have shown that motor representations can or cannot be activated depending on the type of strategy the participants adopt to perform tasks involving motor phrases. On the one hand, participants may imagine the movement with the body parts used to carry out the actions described by the verbs (i.e., motor strategy; on the other, individuals may solve the task without simulating the corresponding movements (i.e., visual strategy. While it is not surprising that the motor strategy is at work when participants process action-related verbs, it is however striking that sensorimotor activation has been reported also for imageable concrete words with no motor content, for non-words with regular phonology, for pseudo-verb stimuli, and also for negations. Based on the extant literature, we will argue that implicit motor imagery is not uniquely used when a body-related stimulus is encountered, and that it is not the type of stimulus that automatically triggers the motor simulation but the type of strategy. Finally, we will also comment on the view that
Mehl, Matthias R; Raison, Charles L; Pace, Thaddeus W W; Arevalo, Jesusa M G; Cole, Steve W
Adverse social conditions have been linked to a conserved transcriptional response to adversity (CTRA) in circulating leukocytes that may contribute to social gradients in disease. However, the CNS mechanisms involved remain obscure, in part because CTRA gene-expression profiles often track external social-environmental variables more closely than they do self-reported internal affective states such as stress, depression, or anxiety. This study examined the possibility that variations in patterns of natural language use might provide more sensitive indicators of the automatic threat-detection and -response systems that proximally regulate autonomic induction of the CTRA. In 22,627 audio samples of natural speech sampled from the daily interactions of 143 healthy adults, both total language output and patterns of function-word use covaried with CTRA gene expression. These language features predicted CTRA gene expression substantially better than did conventional self-report measures of stress, depression, and anxiety and did so independently of demographic and behavioral factors (age, sex, race, smoking, body mass index) and leukocyte subset distributions. This predictive relationship held when language and gene expression were sampled more than a week apart, suggesting that associations reflect stable individual differences or chronic life circumstances. Given the observed relationship between personal expression and gene expression, patterns of natural language use may provide a useful behavioral indicator of nonconsciously evaluated well-being (implicit safety vs. threat) that is distinct from conscious affective experience and more closely tracks the neurobiological processes involved in peripheral gene regulation. Copyright © 2017 the Author(s). Published by PNAS.
Armstrong, Timothy Currie
Parents who enroll their children to be educated through a threatened minority language frequently do not speak that language themselves and classes in the language are sometimes offered to parents in the expectation that this will help them to support their children's education and to use the minority language in the home. Providing…
Jackendoff, Ray; Pinker, Steven
In a continuation of the conversation with Fitch, Chomsky, and Hauser on the evolution of language, we examine their defense of the claim that the uniquely human, language-specific part of the language faculty (the ''narrow language faculty'') consists only of recursion, and that this part cannot be considered an adaptation to communication. We…
Khalifa, Abdulrahman; Meystre, Stéphane
The 2014 i2b2 natural language processing shared task focused on identifying cardiovascular risk factors such as high blood pressure, high cholesterol levels, obesity and smoking status among other factors found in health records of diabetic patients. In addition, the task involved detecting medications, and time information associated with the extracted data. This paper presents the development and evaluation of a natural language processing (NLP) application conceived for this i2b2 shared task. For increased efficiency, the application main components were adapted from two existing NLP tools implemented in the Apache UIMA framework: Textractor (for dictionary-based lookup) and cTAKES (for preprocessing and smoking status detection). The application achieved a final (micro-averaged) F1-measure of 87.5% on the final evaluation test set. Our attempt was mostly based on existing tools adapted with minimal changes and allowed for satisfying performance with limited development efforts. Copyright © 2015 Elsevier Inc. All rights reserved.
Koromyslova, A.; Semenkina, M.; Sergienko, R.
The text classification problem for natural language call routing was considered in the paper. Seven different term weighting methods were applied. As dimensionality reduction methods, the feature selection based on self-adaptive GA is considered. k-NN, linear SVM and ANN were used as classification algorithms. The tasks of the research are the following: perform research of text classification for natural language call routing with different term weighting methods and classification algorithms and investigate the feature selection method based on self-adaptive GA. The numerical results showed that the most effective term weighting is TRR. The most effective classification algorithm is ANN. Feature selection with self-adaptive GA provides improvement of classification effectiveness and significant dimensionality reduction with all term weighting methods and with all classification algorithms.
Jones, William I.
This study examined the understanding of nature of science among participants in their final year of a 4-year undergraduate teacher education program at a Midwest liberal arts university. The Logic Model Process was used as an integrative framework to focus the collection, organization, analysis, and interpretation of the data for the purpose of (1) describing participant understanding of NOS and (2) to identify participant characteristics and teacher education program features related to those understandings. The Views of Nature of Science Questionnaire form C (VNOS-C) was used to survey participant understanding of 7 target aspects of Nature of Science (NOS). A rubric was developed from a review of the literature to categorize and score participant understanding of the target aspects of NOS. Participants' high school and college transcripts, planning guides for their respective teacher education program majors, and science content and science teaching methods course syllabi were examined to identify and categorize participant characteristics and teacher education program features. The R software (R Project for Statistical Computing, 2010) was used to conduct an exploratory analysis to determine correlations of the antecedent and transaction predictor variables with participants' scores on the 7 target aspects of NOS. Fourteen participant characteristics and teacher education program features were moderately and significantly ( p Middle Childhood with a science concentration program major or in the Adolescent/Young Adult Science Education program major were more likely to have an informed understanding on each of the 7 target aspects of NOS. Analyses of the planning guides and the course syllabi in each teacher education program major revealed differences between the program majors that may account for the results.
Machine translation systems often incorporate modeling assumptions motivated by properties of the language pairs they initially target. When such systems are applied to language families with considerably different properties, translation quality can deteriorate. Phrase-based machine translation
Will, Herbert A.; Mackin, Michael A.
PC software is described which provides flexible natural language process control capability with an IBM PC or compatible machine. Hardware requirements include the PC, and suitable hardware interfaces to all controlled devices. Software required includes the Microsoft Disk Operating System (MS-DOS) operating system, a PC-based FORTRAN-77 compiler, and user-written device drivers. Instructions for use of the software are given as well as a description of an application of the system.
Le Bigot, Ludovic; Rouet, Jean-François; Jamet, Eric
This study examined the effects of user production (speaking and typing) and user reception (listening and reading) modes on natural language human-computer dialogue. Text-based dialogue is often more efficient than speech-based dialogue, but the latter is more dynamic and more suitable for mobile environments and hands-busy situations. The respective contributions of user production and reception modes have not previously been assessed. Eighteen participants performed several information search tasks using a natural language information system in four experimental conditions: phone (speaking and listening), Web (typing and reading), and mixed (speaking and reading or typing and listening). Mental workload was greater and participants' repetitions of commands were more frequent when speech (speaking or listening) was used for both the user production and reception modes rather than text (typing or reading). Completion times were longer for listening than for reading. Satisfaction was lower, utterances were longer, and the interaction error rate was higher for speaking than typing. The production and reception modes both contribute to dialogue and mental workload. They have distinct contributions to performance, satisfaction, and the form of the discourse. The most efficient configuration for interacting in natural language would appear to be speech for production and system prompts in text, as this combination decreases the time on task while improving dialogue involvement.
Chapman, Wendy W; Christensen, Lee M; Wagner, Michael M; Haug, Peter J; Ivanov, Oleg; Dowling, John N; Olszewski, Robert T
Develop and evaluate a natural language processing application for classifying chief complaints into syndromic categories for syndromic surveillance. Much of the input data for artificial intelligence applications in the medical field are free-text patient medical records, including dictated medical reports and triage chief complaints. To be useful for automated systems, the free-text must be translated into encoded form. We implemented a biosurveillance detection system from Pennsylvania to monitor the 2002 Winter Olympic Games. Because input data was in free-text format, we used a natural language processing text classifier to automatically classify free-text triage chief complaints into syndromic categories used by the biosurveillance system. The classifier was trained on 4700 chief complaints from Pennsylvania. We evaluated the ability of the classifier to classify free-text chief complaints into syndromic categories with a test set of 800 chief complaints from Utah. The classifier produced the following areas under the ROC curve: Constitutional = 0.95; Gastrointestinal = 0.97; Hemorrhagic = 0.99; Neurological = 0.96; Rash = 1.0; Respiratory = 0.99; Other = 0.96. Using information stored in the system's semantic model, we extracted from the Respiratory classifications lower respiratory complaints and lower respiratory complaints with fever with a precision of 0.97 and 0.96, respectively. Results suggest that a trainable natural language processing text classifier can accurately extract data from free-text chief complaints for biosurveillance.
Gross, Alexander; Murthy, Dhiraj
This paper explores a variety of methods for applying the Latent Dirichlet Allocation (LDA) automated topic modeling algorithm to the modeling of the structure and behavior of virtual organizations found within modern social media and social networking environments. As the field of Big Data reveals, an increase in the scale of social data available presents new challenges which are not tackled by merely scaling up hardware and software. Rather, they necessitate new methods and, indeed, new areas of expertise. Natural language processing provides one such method. This paper applies LDA to the study of scientific virtual organizations whose members employ social technologies. Because of the vast data footprint in these virtual platforms, we found that natural language processing was needed to 'unlock' and render visible latent, previously unseen conversational connections across large textual corpora (spanning profiles, discussion threads, forums, and other social media incarnations). We introduce variants of LDA and ultimately make the argument that natural language processing is a critical interdisciplinary methodology to make better sense of social 'Big Data' and we were able to successfully model nested discussion topics from forums and blog posts using LDA. Importantly, we found that LDA can move us beyond the state-of-the-art in conventional Social Network Analysis techniques. Copyright © 2014 Elsevier Ltd. All rights reserved.
Hackenberg, Robert G.
RCA's Advanced Technology Laboratories (ATL) has implemented an integrated system which permits control of high level tasks in a robotics environment through voice input in the form of natural language syntax. The paper to be presented will outline the architecture used to integrate voice recognition and synthesis hardware and natural language and intelligent reasoning software with a supervisory processor that controls robotic and vision operations in the robotic testbed. The application is intended to give the human operator of a Puma 782 industrial robot the ability to combine joystick teleoperation with voice input in order to provide a flexible man-machine interface in a hands-busy environment. The system is designed to give the operator a speech interface which is unobtrusive and undemanding in terms of predetermined syntax requirements. The voice recognizer accepts continuous speech and the natural language processor accepts full and partial sentence fragments and can perform a fair amount of disambiguation and context analysis. Output to the operator comes via the parallel channel of speech synthesis so that the operator does not have to consult the computer's CRT for messages. The messages are generated from the software and offer warnings about unacceptable situations, confirmations of actions completed, and feedback of system data.
This grounded theory study explored the conceptualization of authenticity in language education. The participants were 30 Iranian English language educators, who were studied as adult learners. The findings revealed that authenticity was conceptualized by language educators as a social and reflective practice under the influence of the…
Geide Rosa Coelho
Full Text Available We report an inquiry on the development of students' understanding about the nature of light. The study happened in a learning environment with a recursive and spiral Physics syllabus. We investigated the change in students' understanding about the nature of light during their 3rd year in High School, and the level of understanding about this subject achieved by students at the end of this year. To assess the students' understanding, we developed an open questionnaire form and a set of hierarchical categories, consisting of five different models about the nature of light. The questionnaire was used to access the students´ understanding at the beginning and at the end of the third level of the recursive curriculum. The results showed that students have a high level of prior knowledge, and also that the Physics learning they experienced had enhanced their understanding, despite the effects are not verified in all the Physics classes. By the end of the third year, most of the students explain the nature of light using or a corpuscular electromagnetic model or a dual electromagnetic model, but some students use these models with inconsistencies in their explanations.
Sanden, Guro Refsum
Purpose: – The purpose of this paper is to analyse the consequences of globalisation in the area of corporate communication, and investigate how language may be managed as a strategic resource. Design/methodology/approach: – A review of previous studies on the effects of globalisation on corporate...... communication and the implications of language management initiatives in international business. Findings: – Efficient language management can turn language into a strategic resource. Language needs analyses, i.e. linguistic auditing/language check-ups, can be used to determine the language situation...
Full Text Available Abstract Background Accurate information is needed to direct healthcare systems’ efforts to control methicillin-resistant Staphylococcus aureus (MRSA. Assembling complete and correct microbiology data is vital to understanding and addressing the multiple drug-resistant organisms in our hospitals. Methods Herein, we describe a system that securely gathers microbiology data from the Department of Veterans Affairs (VA network of databases. Using natural language processing methods, we applied an information extraction process to extract organisms and susceptibilities from the free-text data. We then validated the extraction against independently derived electronic data and expert annotation. Results We estimate that the collected microbiology data are 98.5% complete and that methicillin-resistant Staphylococcus aureus was extracted accurately 99.7% of the time. Conclusions Applying natural language processing methods to microbiology records appears to be a promising way to extract accurate and useful nosocomial pathogen surveillance data. Both scientific inquiry and the data’s reliability will be dependent on the surveillance system’s capability to compare from multiple sources and circumvent systematic error. The dataset constructed and methods used for this investigation could contribute to a comprehensive infectious disease surveillance system or other pressing needs.
Noguera-Arnaldos, José Ángel
The Internet of Things (IoT) offers opportunities for new applications and services that enable users to access and control their working and home environment from local and remote locations, aiming to perform daily life activities in an easy way. However, the IoT also introduces new challenges, some of which arise from the large range of devices currently available and the heterogeneous interfaces provided for their control. The control and management of this variety of devices and interfaces represent a new challenge for non-expert users, instead of making their life easier. Based on this understanding, in this work we present a natural language interface for the IoT, which takes advantage of Semantic Web technologies to allow non-expert users to control their home environment through an instant messaging application in an easy and intuitive way. We conducted several experiments with a group of end users aiming to evaluate the effectiveness of our approach to control home appliances by means of natural language instructions. The evaluation results proved that without the need for technicalities, the user was able to control the home appliances in an efficient way.
Garrity, Sarah; Guerra, Alison Wishard
The school-readiness gap for Latino dual language learners in the United States has been well documented, despite a strong research base highlighting effective strategies and practices for supporting their academic success. However, current educational practices reflect the hegemonic discourse that, because the United States is an English-speaking…
Writing in science can be used to address some of the issues relevant to contemporary scientific literacy, such as the nature of science, which describes the scientific enterprise for science education. This has implications for the kinds of writing tasks students should attempt in the classroom, and for how students should understand the rationale and claims of these tasks. While scientific writing may train the mind to think scientifically in a disciplined and structured way thus encouraging students to gain access to the public domain of scientific knowledge, the counter-argument is that students need to be able to express their thoughts freely in their own language. Writing activities must aim to promote philosophical and epistemological views of science that accurately portray contemporary science. This mixed-methods case study explored language-enriched environments, in this case, secondary science classrooms with a focus on teacher-developed activities, involving diversified writing styles, that were directly linked to the science curriculum. The research foci included: teachers' implementation of these activities in their classrooms; how the activities reflected the teachers' nature of science views; common attributes between students' views of science and how they represented science in their writings; and if, and how the activities influenced students' nature of science views. Teachers' and students' views of writing and the nature of science are illustrated through pre-and post-questionnaire responses; interviews; student work; and classroom observations. Results indicated that diversified writing activities have the potential to accurately portray science to students, personalize learning in science, improve students' overall attitude towards science, and enhance scientific literacy through learning science, learning about science, and doing science. Further research is necessary to develop an understanding of whether the choice of genre has an
Martin-Dunlop, Catherine S.
This study investigated prospective elementary teachers' understandings of the nature of science and explored associations with their guided-inquiry science learning environment. Over 500 female students completed the Nature of Scientific Knowledge Survey (NSKS), although only four scales were analyzed-Creative, Testable, Amoral, and Unified. The learning environment was assessed using previously-validated and reliable scales from What Is Happening In this Class? (WIHIC) and the Science Laboratory Environment Inventory (SLEI). Analyses indicated moderate multiple correlations that were statistically significant ( p Creative (R = 0.22), Testable (R = 0.29), and Unified (R = 0.27), and a positive learning environment. Regression coefficients revealed that Open-Endedness was a significant independent predictor of students' understanding of the role of creativity in science (β = 0.16), while Cooperation, Open-Endedness, and Material Environment were linked with understanding the testable nature of science (β = 0.10-0.12). Interview questions probed possible relationships between an improved understanding of the nature of science and elements of a positive classroom environment. Responses suggested that an appropriate level of open-endedness during investigations was very important as this helped students grapple with abstract nature of science concepts and shift their conceptions closer to a more realistic view of scientific practice.
Full Text Available A core challenge in environmental planning is the gap between a strong participatory ethos and top-down defined nature protection policies. Nature protection policies for large areas are concerned with securing ecological biodiversity and wildlife habitats against increasing societal claims. Such planning objectives also affect the socio-economic and cultural relations between the local community and the area they live in, and raise conflicts between local and national protection objectives and steering levels. Despite attempts to facilitate participatory planning approaches as a means of reducing conflict, nature protection continues to be contested in local communities. This paper explores the different understandings of nature at play between citizens and planning authorities throughout a habitat protection planning process in Norway. The paper discusses whether environmental planning of large spatial areas could develop communication arenas designed to deliberate different understandings of an area as a matter of commons between institutional planning perspectives of nature protection and (local understandings of the area as part of everyday life. The paper sheds light on how large spatial areas are understood at different government levels and from everyday life orientations, and how these could be used to develop mutual understandings of the area as a common.
Elio Jesús Cruz Rondón
Full Text Available Learning a foreign language may be a challenge for most people due to differences in the form and structure between one’s mother tongue and a new one. However, there are some tools that facilitate the teaching and learning of a foreign language, for instance, new applications for digital devices, video blogs, educational platforms, and teaching materials. Therefore, this case study aims at understanding the role of teaching materials among beginners’ level students learning English as a foreign language. After conducting five non-participant classroom observations and nine semi-structured interviews, we found that the way the teacher implemented a pedagogical intervention by integrating the four language skills, promoting interactive learning through the use of online resources, and using the course book led to a global English teaching and learning process.
Pahisa-Solé, Joan; Herrera-Joancomartí, Jordi
In this article, we describe a compansion system that transforms the telegraphic language that comes from the use of pictogram-based augmentative and alternative communication (AAC) into natural language. The system was tested with four participants with severe cerebral palsy and ranging degrees of linguistic competence and intellectual disabilities. Participants had used pictogram-based AAC at least for the past 30 years each and presented a stable linguistic profile. During tests, which consisted of a total of 40 sessions, participants were able to learn new linguistic skills, such as the use of basic verb tenses, while using the compansion system, which proved a source of motivation. The system can be adapted to the linguistic competence of each person and required no learning curve during tests when none of its special features, like gender, number, verb tense, or sentence type modifiers, were used. Furthermore, qualitative and quantitative results showed a mean communication rate increase of 41.59%, compared to the same communication device without the compansion system, and an overall improvement in the communication experience when the output is in natural language. Tests were conducted in Catalan and Spanish.
Surveys developments in language revitalization and language death. Focusing on indigenous languages, discusses the role and nature of appropriate linguistic documentation, possibilities for bilingual education, and methods of promoting oral fluency and intergenerational transmission in affected languages. (Author/VWL)
.... After examining some situations in which United States and British forces carried out counterinsurgency operations, the author reveals that ground troops with foreign-language skills and cultural...
This dissertation may be located in the wide debate on the effectiveness of policy interventions in developing countries, in the field of natural resource management (NRM). It is especially concerned with contributing to the understanding of the limited effectiveness of fishery management
Chuy, Maria; Scardamalia, Marlene; Bereiter, Carl; Prinsen, Fleur; Resendes, Monica; Messina, Richard; Hunsburger, Winifred; Teplovs, Chris; Chow, Angela
In 1993 Carey and Smith conjectured that the most promising way to boost students' understanding of the nature of science is a "theory-building approach to teaching about inquiry." The research reported here tested this conjecture by comparing results from two Grade 4 classrooms that differed in their emphasis on and technological…
Kruger, Tarnya; Beilin, Ruth
In 2007, a study titled "Living in the landscapes of the 21st century" was conducted in 11 high schools in metropolitan and rural Victoria. The research team investigated Year 10 students' conceptions of landscapes in order to explore their understandings of natural resource management (NRM), including agriculture, food, land and water…
Sengdala, Phoxay; Yuenyong, Chokchai
This paper aimed to study of Grade 12 students' understanding of nature of science in learning about atom for peace through science technology and society (STS) approach. Participants were 51 Grade 12 who study in Thongphong high school Vientiane Capital City Lao PDR, 1st semester of 2012 academic year. This research regarded interpretive…
Gotch, Chad; Hall, Troy
The Theory of Reasoned Action has proven to be a valuable tool for predicting and understanding behavior and, as such, provides a potentially important basis for environmental education program design. This study used a Theory of Reasoned Action approach to examine a unique type of behavior (nature-related activities) and a unique population…
This dissertation may be located in the wide debate on the effectiveness of policy interventions in developing countries, in the field of natural resource management (NRM). It is especially concerned with contributing to the understanding of the limited effectiveness of fishery management
do Nascimento Rocha, Maristela; Gurgel, Ivã
This paper performs a critical analysis of the consensual and family resemblance approaches to the nature of science. Despite the debate that surrounds them, between a pragmatic consensus and a more comprehensive understanding, both approaches have in common the goal of helping students to "internalize" knowledge about science in a…
Bell, Randy L.; Matkins, Juanita Jo; Gansneder, Bruce M.
This mixed-methods investigation compared the relative impacts of instructional approach and context of nature of science instruction on preservice elementary teachers' understandings. The sample consisted of 75 preservice teachers enrolled in four sections of an elementary science methods course. Independent variables included instructional…
McComas, William F.
The nature of science (NOS) is a phrase used to represent the rules of the game of science. Arguably, NOS is the most important content issue in science instruction because it helps students understand the way in which knowledge is generated and validated within the scientific enterprise. This article offers a proposal for the elements of NOS that…
Cavallo, Ann M. L.; White, Kevin J.; McCall, David
This study explored interrelationships among high school students' views about nature of science (NOS), acceptance of evolution, and conceptual understanding of evolution, and the extent to which these may have shifted from pre- to post-instruction on evolutionary theory. Eighty-one students enrolled in ninth-grade Biology responded to…
Coleman, Joy; Stears, Michèle; Dempster, Edith
The focus of this study was student teachers at a South African university enrolled in a Bachelor of Education (B.Ed.) programme and a Postgraduate Certificate in Education (PGCE), respectively. The purpose of this study was to explore students' understanding and acceptance of evolution and beliefs about the nature of science (NOS), and to…
Famed for his collection of drawings of naturalia and his thoughts on the relationship between painting and natural knowledge, it now appears that the Bolognese naturalist Ulisse Aldrovandi (1522-1605) also pondered specifically color and pigments, compiling not only lists and diagrams of color terms but also a full-length unpublished manuscript entitled De coloribus or Trattato dei colori. Introducing these writings for the first time, this article portrays a scholar not so much interested in the materiality of pigment production, as in the cultural history of hues. It argues that these writings constituted an effort to build a language of color, in the sense both of a standard nomenclature of hues and of a lexicon, a dictionary of their denotations and connotations as documented in the literature of ancients and moderns. This language would serve the naturalist in his artistic patronage and his natural historical studies, where color was considered one of the most reliable signs for the correct identification of specimens, and a guarantee of accuracy in their illustration. Far from being an exception, Aldrovandi's 'color sensibility'spoke of that of his university-educated nature-loving peers.
Akerblom, Annika; Anderberg, Elsie; Alvegard, Christer; Svensson, Lennart
In this article the role of children's awareness of the function of language use is examined in an empirical, qualitative investigation. Forty children of six and 10 years old were asked to make sense of a science problem in special dialogue setting where they were encouraged to reflect on their own language use. The article concerns the interplay…
Tomblin, J. Bruce; Mueller, Kathyrn L.
This article provides a background for the topic of comorbidity of attention-deficit/hyperactivity disorder and spoken and written language and speech disorders that extends through this issue of "Topics in Language Disorders." Comorbidity is common within developmental disorders and may be explained by many possible reasons. Some of these can be…
Adams, Helga; Nicolson, Margaret
In this article, the authors examine the fourth stage of their research into diversity in the languages classroom, focusing specifically on the teacher perspective in planning for and managing diversity in adult student groups. The article discusses findings from a day with experienced Open University language teachers working together on lesson…
Sun, Peijian; Yuan, Rui; Teng, Lin
This research explored the congruence and disparity between teachers' and students' attitudes towards French as a second language (L2) teaching strategies in a non-target language classroom context in the USA. The findings suggest students' and teachers' attitudes towards the direct and indirect teaching strategies were generally consistent, but…
Communication is a fundamental life skill and acts as the foundation on which many other areas of development are based. Any child who is not developing their speech, language and communication skills in the expected way is considered to have speech, language and communication needs (SLCN). These range from children with delayed speech and language development, whose difficulties will resolve with the correct intervention, to children with long term, persistent difficulties in one or more areas of their speech, language and communication development. Speech, language and communication is a skill central to other areas of development, meaning the impacts of SLCN can be significant. These impacts can be minimised by ensuring early identification and support for those children and young people who are presenting with SLCN.
Exploring the Relationships between Independent Listening and Listening-Reading-Writing Tasks in Chinese Language Testing: Toward a Better Understanding of the Construct Underlying Integrated Writing Tasks
Zhu, Xinhua; Li, Xueyan; Yu, Guoxing; Cheong, Choo Mui; Liao, Xian
Integrated assessment tasks have been increasingly used in language tests, but the underlying constructs of integrated tasks remain elusive. This study aimed to improve understanding of the construct of integrated writing tasks in Chinese Language examinations in Hong Kong by looking at the language competences measured in the…
Full Text Available The Quran is a scripture that acts as the main reference to people which their religion is Islam. It covers information from politics to science, with vast amount of information that requires effort to uncover the knowledge behind it. Today, the emergence of smartphones has led to the development of a wide-range application for enhancing knowledge-seeking activities. This project proposes a mobile application that is taking a natural language approach to searching topics in the Quran based on keyword searching. The benefit of the application is two-fold; it is intuitive and it saves time.
This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real-world NLP applications our labeled data is also heavily biased. This book introduces extensions of supervised learning algorithms to cope with data sparsity and different kinds of sampling bias.This book is intended to be both
It is shown how certain kinds of domain independent expert systems based on classification problem-solving methods can be constructed directly from natural language descriptions by a human expert. The expert knowledge is not translated into production rules. Rather, it is mapped into conceptual structures which are integrated into long-term memory (LTM). The resulting system is one in which problem-solving, retrieval and memory organization are integrated processes. In other words, the same algorithm and knowledge representation structures are shared by these processes. As a result of this, the system can answer questions, solve problems or reorganize LTM.
Full Text Available Abstract Background Incident reporting is the most common method for detecting adverse events in a hospital. However, under-reporting or non-reporting and delay in submission of reports are problems that prevent early detection of serious adverse events. The aim of this study was to determine whether it is possible to promptly detect serious injuries after inpatient falls by using a natural language processing method and to determine which data source is the most suitable for this purpose. Methods We tried to detect adverse events from narrative text data of electronic medical records by using a natural language processing method. We made syntactic category decision rules to detect inpatient falls from text data in electronic medical records. We compared how often the true fall events were recorded in various sources of data including progress notes, discharge summaries, image order entries and incident reports. We applied the rules to these data sources and compared F-measures to detect falls between these data sources with reference to the results of a manual chart review. The lag time between event occurrence and data submission and the degree of injury were compared. Results We made 170 syntactic rules to detect inpatient falls by using a natural language processing method. Information on true fall events was most frequently recorded in progress notes (100%, incident reports (65.0% and image order entries (12.5%. However, F-measure to detect falls using the rules was poor when using progress notes (0.12 and discharge summaries (0.24 compared with that when using incident reports (1.00 and image order entries (0.91. Since the results suggested that incident reports and image order entries were possible data sources for prompt detection of serious falls, we focused on a comparison of falls found by incident reports and image order entries. Injury caused by falls found by image order entries was significantly more severe than falls detected by
Vilic, Adnan; Petersen, John Asger; Hoppe, Karsten
This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients’ physiological condition during an admission, which is assessed by electronically...... monitoring vital signs and then combining these into Early Warning Scores (EWS). Hereafter, techniques from Natural Language Processing (NLP) are applied on the existing patient journal to extract all entries. Finally, the two methods are combined into an interactive timeline featuring the ability to see...... drastic changes in the patients’ health, and thereby enabling staff to see where in the journal critical events have taken place....
This volume deals with the computational application of systemic functional grammar (SFG) for natural language generation. In particular, it describes the implementation of a fragment of the grammar of German in the computational framework of KOMET-PENMAN for multilingual generation. The text also presents a specification of explicit well-formedness constraints on syntagmatic structure which are defined in the form of typed feature structures. It thus achieves a model of systemic functional grammar that unites both the strengths of systemics, such as stratification, functional diversification
Vilic, Adnan; Petersen, John Asger; Hoppe, Karsten
monitoring vital signs and then combining these into Early Warning Scores (EWS). Hereafter, techniques from Natural Language Processing (NLP) are applied on the existing patient journal to extract all entries. Finally, the two methods are combined into an interactive timeline featuring the ability to see......This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients’ physiological condition during an admission, which is assessed by electronically...... drastic changes in the patients’ health, and thereby enabling staff to see where in the journal critical events have taken place....
Aiemsum-ang, Napapan; Yuenyong, Chokchai
This paper aimed to investigate the existing ideas of nature of science (NOS) teaching in Thailand biology classroom. The study reported the existing ideas of nature of science (NOS) teaching of one biology teacher Mrs. Mali who had been teaching for 6 years at in a school in Khon Kaen city. Methodology regarded interpretive paradigm. Tools of interpretation included 2 months of classroom observation, interviewing, and questionnaire of NOS. The findings revealed Mali held good understanding of the nature of science in the aspect of the use of evidence, the aspect of knowledge inquiry through different observation and deduction, the aspect of creativity and imagination influencing science knowledge inquiry, and the aspect of changeable scientific knowledge. Her biology teaching indicated that she used both the deficient nature of science approach and the implicit nature of science approach. The implicit nature of science approach was applied mostly in 7 periods and only 2 periods were arranged using the deficient nature of science approach. The paper has implication for professional development and pre-service program on NOS teaching in Thailand.
) of how employers in internship interviews orient to internship candidates as members of the category ‘second language speaker’, this paper examines the strategies employed by second languages speakers for refuting suspected language difficulties. Inspired by the training method CARM (Stokoe, 2011; 2013...... communication by illuminating not only the interactional trajectories of inquiries about understanding but also the interactional resources available to second language speakers of effectively ensuring intersubjectivity....
Varelas, Maria; Pappas, Christine; Barry, Anne; O'Neill, Amy
Presents units that address states of matter and changes of states of matter linked with the water cycle and integrates literacy and science. Discusses the language in science books. Lists characteristics of good science inquiry units. (Contains 11 references.) (ASK)
Amaechi Uneke Enyi
Full Text Available The study entitled. “Language and Interactional Discourse: Deconstructing the Talk - Generating Machinery in Natural Conversation,” is an analysis of spontaneous and informal conversation. The study, carried out in the theoretical and methodological tradition of Ethnomethodology, was aimed at explicating how ordinary talk is organized and produced, how people coordinate their talk –in- interaction, how meanings are determined, and the role of talk in the wider social processes. The study followed the basic assumption of conversation analysis which is, that talk is not just a product of two ‘speakers - hearers’ who attempt to exchange information or convey messages to each other. Rather, participants in conversation are seen to be mutually orienting to, and collaborating in order to achieve orderly and meaningful communication. The analytic objective is therefore to make clear these procedures on which speakers rely to produce utterances and by which they make sense of other speakers’ talk. The datum used for this study was a recorded informal conversation between two (and later three middle- class civil servants who are friends. The recording was done in such a way that the participants were not aware that they were being recorded. The recording was later transcribed in a way that we believe is faithful to the spontaneity and informality of the talk. Our finding showed that conversation has its own features and is an ordered and structured social day by- day event. Specifically, utterances are designed and informed by organized procedures, methods and resources which are tied to the contexts in which they are produced, and which participants are privy to by virtue of their membership of a culture or a natural language community. Keywords: Language, Discourse and Conversation
Simon, Jonathan; Dos Santos, Mariana; Fielding, James; Smith, Barry
The central hypothesis underlying this communication is that the methodology and conceptual rigor of a philosophically inspired formal ontology can bring significant benefits in the development and maintenance of application ontologies [A. Flett, M. Dos Santos, W. Ceusters, Some Ontology Engineering Procedures and their Supporting Technologies, EKAW2002, 2003]. This hypothesis has been tested in the collaboration between Language and Computing (L&C), a company specializing in software for supporting natural language processing especially in the medical field, and the Institute for Formal Ontology and Medical Information Science (IFOMIS), an academic research institution concerned with the theoretical foundations of ontology. In the course of this collaboration L&C's ontology, LinKBase, which is designed to integrate and support reasoning across a plurality of external databases, has been subjected to a thorough auditing on the basis of the principles underlying IFOMIS's Basic Formal Ontology (BFO) [B. Smith, Basic Formal Ontology, 2002. http://ontology.buffalo.edu/bfo]. The goal is to transform a large terminology-based ontology into one with the ability to support reasoning applications. Our general procedure has been the implementation of a meta-ontological definition space in which the definitions of all the concepts and relations in LinKBase are standardized in the framework of first-order logic. In this paper we describe how this principles-based standardization has led to a greater degree of internal coherence of the LinKBase structure, and how it has facilitated the construction of mappings between external databases using LinKBase as translation hub. We argue that the collaboration here described represents a new phase in the quest to solve the so-called "Tower of Babel" problem of ontology integration [F. Montayne, J. Flanagan, Formal Ontology: The Foundation for Natural Language Processing, 2003. http://www.landcglobal.com/].
Kreimeyer, Kory; Foster, Matthew; Pandey, Abhishek; Arya, Nina; Halford, Gwendolyn; Jones, Sandra F; Forshee, Richard; Walderhaug, Mark; Botsis, Taxiarchis
We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) systems that generate structured information from unstructured free text. Seven literature databases were searched with a query combining the concepts of natural language processing and structured data capture. Two reviewers screened all records for relevance during two screening phases, and information about clinical NLP systems was collected from the final set of papers. A total of 7149 records (after removing duplicates) were retrieved and screened, and 86 were determined to fit the review criteria. These papers contained information about 71 different clinical NLP systems, which were then analyzed. The NLP systems address a wide variety of important clinical and research tasks. Certain tasks are well addressed by the existing systems, while others remain as open challenges that only a small number of systems attempt, such as extraction of temporal information or normalization of concepts to standard terminologies. This review has identified many NLP systems capable of processing clinical free text and generating structured output, and the information collected and evaluated here will be important for prioritizing development of new approaches for clinical NLP. Copyright © 2017 Elsevier Inc. All rights reserved.
Luo, Yuan; Szolovits, Peter
In natural language processing, stand-off annotation uses the starting and ending positions of an annotation to anchor it to the text and stores the annotation content separately from the text. We address the fundamental problem of efficiently storing stand-off annotations when applying natural language processing on narrative clinical notes in electronic medical records (EMRs) and efficiently retrieving such annotations that satisfy position constraints. Efficient storage and retrieval of stand-off annotations can facilitate tasks such as mapping unstructured text to electronic medical record ontologies. We first formulate this problem into the interval query problem, for which optimal query/update time is in general logarithm. We next perform a tight time complexity analysis on the basic interval tree query algorithm and show its nonoptimality when being applied to a collection of 13 query types from Allen's interval algebra. We then study two closely related state-of-the-art interval query algorithms, proposed query reformulations, and augmentations to the second algorithm. Our proposed algorithm achieves logarithmic time stabbing-max query time complexity and solves the stabbing-interval query tasks on all of Allen's relations in logarithmic time, attaining the theoretic lower bound. Updating time is kept logarithmic and the space requirement is kept linear at the same time. We also discuss interval management in external memory models and higher dimensions.
Alexandr I Krupnov
Full Text Available The article discusses the results of empirical study of the association between variables of persistence and academic achievement in foreign languages. The sample includes students of the Faculty of Physics, Mathematics and Natural Science at the RUDN University ( n = 115, divided into 5 subsamples, two of which are featured in the present study (the most and the least successful students subsamples. Persistence as a personality trait is studied within A.I. Krupnov’s system-functional approach. A.I. Krupnov’s paper-and-pencil test was used to measure persistence variables. Academic achievement was measured according to the four parameters: Phonetics, Grammar, Speaking and Political vocabulary based on the grades students received during the academic year. The analysis revealed that persistence displays different associations with academic achievement variables in more and less successful students subsamples, the general prominence of this trait is more important for unsuccessful students. Phonetics is the academic achievement variable most associated with persistence due to its nature, a skill one can acquire through hard work and practice which is the definition of persistence. Grammar as an academic achievement variable is not associated with persistence and probably relates to other factors. Unsuccessful students may have difficulties in separating various aspects of language acquisition from each other which should be taken into consideration by the teachers.
Full Text Available Bahasa adalah sebuah cara berkomunikasi secara sistematis dengan menggunakan suara atau simbol-simbol yang memiliki arti, yang diucapkan melalui mulut. Bahasa juga ditulis dengan mengikuti kaidah yang berlaku. Salah satu bahasa yang banyak digunakan di belahan dunia adalah Bahasa Inggris. Namun ada beberapa kendala apabila kita belajar kepada seorang guru atau instruktur. Waktu yang diberikan seorang guru, terbatas pada jam sekolah atau les saja. Bila siswa pulang sekolah atau les, maka yang bersangkutan harus belajar bahasa Inggris secara mandiri. Dari permasalahan di atas, muncul sebuah ide tentang bagaimana membuat sebuah penelitian yang berkaitan dengan pembuatan aplikasi yang mampu memberikan pengetahuan kepada siswa tentang bagaimana belajar bahasa Inggris secara mandiri baik dari perubahan kalimat postif menjadi kalimat negatif dan kalimat tanya. Disamping itu, aplikasi ini juga mampu memberikan pengetahuan tentang bagaimana mengucapkan kalimat dalam bahasa Inggris. Pada intinya kontribusi yang dapat diperoleh dari hasil penelitian ini adalah pihak terkait dari tingkat SMP sampai dengan SMU/SMK, dapat menggunakan aplikasi text to speech berbasis natural language processing untuk mempelajari tenses pada bahasa Inggris. Aplikasi ini dapat memperdengarkan kalimat-kalimat pada bahasa inggris dan dapat menyusun kalimat tanya dan kalimat negatif berdasarkan kalimat positifnya dalam beberapa tenses bahasa Inggris. Kata Kunci : Natural language processing, Text to speech
Full Text Available Natural Language Processing (NLP to know Al-Quran reading law can analyse text data input in the form of sentence with everyday human being Ianguage of process early by recognizing syntak order and existing production order through scanning, identifying token, result of from token will be conducted by parsing and processed later;then to be conducted by adaptation with existing production order. Result of adaptation will in accepting or is not accepted by if do not fulfill existing production order will emerge message of mistake. The result if as according to order produce hence will present as according to wanted sentence to present Al-Quran reading law. Knowing real correct Al-Quran reading law as according to tartil, its science of its law nya of kifayah fardhu, therefore in studying and knowing Al-Quran reading law by using Natural Language Processing (NLP can fulfill science procedures learn to read Al-Quran matching with tajwid science. NLP which can recognize wanted reading law by consumer for the letter of Al-Fatihah, Al-Baqarah Juz 1. made Application Software can give appearance result of Al-Quran reading laws, NLP which can analyse about wanted reading law with input pass text. Read text pursuant to used production order so that can know reading law which is pursuant to included text
Genuardi, Michael T.
One strategy for machine-aided indexing (MAI) is to provide a concept-level analysis of the textual elements of documents or document abstracts. In such systems, natural-language phrases are analyzed in order to identify and classify concepts related to a particular subject domain. The overall performance of these MAI systems is largely dependent on the quality and comprehensiveness of their knowledge bases. These knowledge bases function to (1) define the relations between a controlled indexing vocabulary and natural language expressions; (2) provide a simple mechanism for disambiguation and the determination of relevancy; and (3) allow the extension of concept-hierarchical structure to all elements of the knowledge file. After a brief description of the NASA Machine-Aided Indexing system, concerns related to the development and maintenance of MAI knowledge bases are discussed. Particular emphasis is given to statistically-based text analysis tools designed to aid the knowledge base developer. One such tool, the Knowledge Base Building (KBB) program, presents the domain expert with a well-filtered list of synonyms and conceptually-related phrases for each thesaurus concept. Another tool, the Knowledge Base Maintenance (KBM) program, functions to identify areas of the knowledge base affected by changes in the conceptual domain (for example, the addition of a new thesaurus term). An alternate use of the KBM as an aid in thesaurus construction is also discussed.
Full Text Available Nature of science (NOS is considered to be a controversial topic by historians, philosophers of science and science educators. It is paradoxical that we all teach science and still have difficulties in understanding what science is and how it develops and progresses. A major obstacle in understanding NOS is that science is primarily ‘unnatural’, that is it cannot be learned by a simple observation of phenomena. In most parts of the world history and philosophy of science are ‘inside’ science content and as such can guide our understanding of NOS. However, some science educators consider the ‘historical turn’ as dated and hence neglect the historical approach and instead emphasize the model based naturalist view of science. The objective of this presentation is to show that the historical approach is very much a part of teaching science and actually complements naturalism. Understanding NOS generally requires two aspects of science: Domain general and domain specific. In the classroom this can be illustrated by discussing the atomic models developed in the early 20th century which constitute the domain specific aspect of NOS. This can then lead to an understanding of the tentative nature of science that is a domain general aspect of NOS. A review of the literature in science education reveals three views (among others of understanding NOS: a Consensus view: It attempts to include only those domain-general NOS aspects that are the least controversial (Lederman, Abd-El-Khalick; b Family resemblance view: Based on the ideas of Wittgenstein, this view promotes science as a cognitive system (Irzik, Nola; c Integrated view: this view postulates that both domain general and domain specific aspects of NOS are not dichotomous but rather need to be integrated and are essential if we want students to understand ‘science in the making’ (Niaz. The following framework helps to facilitate integration: i Elaboration of a theoretical framework
Moodie, Ian; Feryok, Anne
In order to understand teacher cognition--the thoughts, beliefs, and knowledge of language teachers--it is helpful to understand why people commit to language teaching in the first place. However, few studies of language teachers have directly examined the nature and development of commitment in language teachers, across their language learning,…
Having the learning and retention of science content and skills as a goal of scientific literacy, it is significant to study the issue of retention as it relates to teaching and learning about nature of science (NOS). Then, the purpose of this study was to investigate the development of NOS understandings of students, and the retention of these understandings four months after being acquired through explicit reflective instruction in relation to two contexts. Participants were 24 tenth-grade students at a private high school in a city in the Middle East. Explicit NOS instruction was addressed within a six-week unit about genetic engineering. Three NOS aspects were integrated and dispersed across the unit. A questionnaire, together with semi-structured interviews, was administered as pre-, post-, and delayed post-test to assess the retention of participants' NOS understandings. The questionnaire had two open-ended scenarios addressing controversial socioscientific issues about genetically modified food and water fluoridation. Results showed that most students improved their naïve understandings of NOS in relation to the two contexts following the six-week unit with the explicit NOS instruction. However, these newly acquired NOS understandings were not retained by all students four months after instruction. Many of the students reverted back to their earlier naïve understandings. Conclusions about the factors facilitating the process of retention as the orientation to meaningful learning and the prolonged exposure to the domain were discussed in relation to practical implications in the classroom.
Full Text Available The seventh issue of Complex Systems Informatics and Modeling Quarterly presents five papers devoted to two distinct research topics: systems modeling and natural language processing (NLP. Both of these subjects are very important in computer science. Through modeling we can simplify the studied problem by concentrating on only one aspect at a time. Moreover, a properly constructed model allows the modeler to work on higher levels of abstraction and not having to concentrate on details. Since the size and complexity of information systems grows rapidly, creating good models of such systems is crucial. The analysis of natural language is slowly becoming a widely used tool in commerce and day to day life. Opinion mining allows recommender systems to provide accurate recommendations based on user-generated reviews. Speech recognition and NLP are the basis for such widely used personal assistants as Apple’s Siri, Microsoft’s Cortana, and Google Now. While a lot of work has already been done on natural language processing, the research usually concerns widely used languages, such as English. Consequently, natural language processing in languages other than English is very relevant subject and is addressed in this issue.
Full Text Available This article examines concepts often used in debates on language proficiency and proficiency testing. It argues that the notion of "reality", when used by contrast with the "constructed" world of the test, is naive. Such "reality" is also "constructed" in words. This insight opens up important questions in language testing. Hierdie artikel ondersoek begrippe wat dikwels in debatte oor taalvaardigheid en taalvaardigheidstoetsing gebruik word Daar word geredeneer dat die begrip "werklikheid" naief is wanneer dit as kontrasterende be grip teenoor die "gekonstrueerde" wereld van die toets gebruik word Hierdie "werklikheid" word ook in woorde ''gekonstrueer". Belangrike vrae met be trekking tot taaltoetsing word deur hierdie insig aan die orde gestel.
Elliott, Elizabeth; Leach, Amy-May
We examined the impact of interviewees' language proficiencies on observers' lie detection performance. Observers (N = 132) were randomly assigned to make deception judgments about interviewees (N = 56) from Four proficiency groups (i.e., native, advanced, intermediate, and beginner English speakers). Discrimination between lie- and truth-tellers was poorest when observers judged beginner English speakers compared to interviewees from any other proficiency group. Observers were also less likely to exhibit a truth-bias toward nonnative than native English speakers. These results suggest that interviewing individuals in their nonnative languages can create inequalities in the justice system. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Gill, E. N.
The requirements are identified for a very high order natural language to be used by crew members on board the Space Station. The hardware facilities, databases, realtime processes, and software support are discussed. The operations and capabilities that will be required in both normal (routine) and abnormal (nonroutine) situations are evaluated. A structure and syntax for an interface (front-end) language to satisfy the above requirements are recommended.
Ward, Gillian; Haigh, Mavis
Teachers need an understanding of the nature of science (NOS) to enable them to incorporate NOS into their teaching of science. The current study examines the usefulness of a strategy for challenging or changing teachers' understandings of NOS. The teachers who participated in this study were 10 initial teacher education chemistry students and six experienced teachers from secondary and primary schools who were introduced to an explicit and reflective activity, a dramatic reading about a historical scientific development. Concept maps were used before and after the activity to assess teachers' knowledge of NOS. The participants also took part in a focus group interview to establish whether they perceived the activity as useful in developing their own understanding of NOS. Initial analysis led us to ask another group, comprising seven initial teacher education chemistry students, to take part in a modified study. These participants not only completed the same tasks as the previous participants but also completed a written reflection commenting on whether the activity and focus group discussion enhanced their understanding of NOS. Both Lederman et al.'s (Journal of Research in Science Teaching, 39(6), 497-521, 2002) concepts of NOS and notions of "naive" and "informed" understandings of NOS and Hay's (Studies in Higher Education, 32(1), 39-57, 2007) notions of "surface" and "deep" learning were used as frameworks to examine the participants' specific understandings of NOS and the depth of their learning. The ways in which participants' understandings of NOS were broadened or changed by taking part in the dramatic reading are presented. The impact of the data-gathering tools on the participants' professional learning is also discussed.
Soysal, Ergin; Wang, Jingqi; Jiang, Min; Wu, Yonghui; Pakhomov, Serguei; Liu, Hongfang; Xu, Hua
Existing general clinical natural language processing (NLP) systems such as MetaMap and Clinical Text Analysis and Knowledge Extraction System have been successfully applied to information extraction from clinical text. However, end users often have to customize existing systems for their individual tasks, which can require substantial NLP skills. Here we present CLAMP (Clinical Language Annotation, Modeling, and Processing), a newly developed clinical NLP toolkit that provides not only state-of-the-art NLP components, but also a user-friendly graphic user interface that can help users quickly build customized NLP pipelines for their individual applications. Our evaluation shows that the CLAMP default pipeline achieved good performance on named entity recognition and concept encoding. We also demonstrate the efficiency of the CLAMP graphic user interface in building customized, high-performance NLP pipelines with 2 use cases, extracting smoking status and lab test values. CLAMP is publicly available for research use, and we believe it is a unique asset for the clinical NLP community. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: firstname.lastname@example.org.
Charity Hudley, Anne H.; Mallinson, Christine
In today's culturally diverse classrooms, students possess and use many culturally, ethnically, and regionally diverse English language varieties that may differ from standardized English. This book helps classroom teachers become attuned to these differences and offers practical strategies to support student achievement while fostering positive…
Zhu, Wei; Flaitz, Jeffra
Assessing students' language needs is the indispensable first step in EAP (English for Academic Purposes) curriculum development. In this article, we report a portion of the results from a needs assessment study whose ultimate purpose was to inform curriculum development in EAP contexts. We used the focus group methodology to examine learner needs…
Bouchereau Bauer, Eurydice; Guerrero, Beatriz; Hornberg, Sabine; Bos, Wilfried
In this article we propose that teaching/learning is a process that involves world knowledge, identity, and future construction of oneself. The goal of this qualitative research paper is to document the experiences of 2 fourth-grade students with immigration backgrounds in Germany. Using a poststructuralist approach to language and identity, we…
The prevalence of academic procrastination has long been the subject of attention among researchers. However, there is still a paucity of studies examining language learners since most of the studies focus on similar participants such as psychology students. The present study was conducted among students trying to learn English in the first year…
DeKeyser, Robert M.
The effect of age of acquisition on ultimate attainment in second language learning has been a controversial topic for years. After providing a very brief overview of the ideas that are at the core of the controversy, I discuss the two main reasons why these issues are so controversial: conceptual misunderstandings and methodological difficulties.…
Mascareño Lara, Mayra; Snow, Catherine E.; Deunk, Marjolein I.; Bosker, Roel J.
We explored links between complexity of teacher-child verbal interaction and child language and literacy outcomes in fifteen whole-class read-aloud sessions in Chilean kindergarten classrooms serving children from low socioeconomic backgrounds. We coded teacher and child turns for function
Adamson, John L.; Brown, Howard G.; Fujimoto-Adamson, Naoki
This study has traced the growth of a new facility intended to promote independent language study in a Japanese university. The study traces this Self Access Learning Center (SALC) from its inception through the first two years of its development. It has revealed how key qualitative insights from an archive of semi-structured interviews,…
ter Kuile, H.; Veldhuis, M.; van Veen, S.C.; Wicherts, J.M.
An increasing number of schools offer bilingual programs, where lessons are taught in more than one language. Several theories state that bilinguals have greater metalinguistic awareness than monolinguals. We investigated whether this greater metalinguistic awareness is also related to an increased
Cheng, Liying; Fox, Janna
The aggressive internationalization of Canadian universities and increased immigration to Canada over the past 20 years have resulted in a dramatic increase in the number of second language (L2) students in Canadian universities. However, little is known about the factors that influence academic acculturation of L2 students or about the role of…
Weng, Chunhua; Payne, Philip R O; Velez, Mark; Johnson, Stephen B; Bakken, Suzanne
The successful adoption by clinicians of evidence-based clinical practice guidelines (CPGs) contained in clinical information systems requires efficient translation of free-text guidelines into computable formats. Natural language processing (NLP) has the potential to improve the efficiency of such translation. However, it is laborious to develop NLP to structure free-text CPGs using existing formal knowledge representations (KR). In response to this challenge, this vision paper discusses the value and feasibility of supporting symbiosis in text-based knowledge acquisition (KA) and KR. We compare two ontologies: (1) an ontology manually created by domain experts for CPG eligibility criteria and (2) an upper-level ontology derived from a semantic pattern-based approach for automatic KA from CPG eligibility criteria text. Then we discuss the strengths and limitations of interweaving KA and NLP for KR purposes and important considerations for achieving the symbiosis of KR and NLP for structuring CPGs to achieve evidence-based clinical practice.
In this paper, I investigate a problem of finding most similar music tracks using, popular in Natural Language Processing, techniques like: TF-IDF and LDA. I de ned document as music track. Each music track is transformed to spectrogram, thanks that, I can use well known techniques to get words from images. I used SURF operation to detect characteristic points and novel approach for their description. The standard kmeans was used for clusterization. Clusterization is here identical with dictionary making, so after that I can transform spectrograms to text documents and perform TF-IDF and LDA. At the final, I can make a query in an obtained vector space. The research was done on 16 music tracks for training and 336 for testing, that are splitted in four categories: Hiphop, Jazz, Metal and Pop. Although used technique is completely unsupervised, results are satisfactory and encouraging to further research.
Pai, Vinay M; Rodgers, Mary; Conroy, Richard; Luo, James; Zhou, Ruixia; Seto, Belinda
In April 2012, the National Institutes of Health organized a two-day workshop entitled 'Natural Language Processing: State of the Art, Future Directions and Applications for Enhancing Clinical Decision-Making' (NLP-CDS). This report is a summary of the discussions during the second day of the workshop. Collectively, the workshop presenters and participants emphasized the need for unstructured clinical notes to be included in the decision making workflow and the need for individualized longitudinal data tracking. The workshop also discussed the need to: (1) combine evidence-based literature and patient records with machine-learning and prediction models; (2) provide trusted and reproducible clinical advice; (3) prioritize evidence and test results; and (4) engage healthcare professionals, caregivers, and patients. The overall consensus of the NLP-CDS workshop was that there are promising opportunities for NLP and CDS to deliver cognitive support for healthcare professionals, caregivers, and patients.
Li, Muqun; Carrell, David; Aberdeen, John; Hirschman, Lynette; Kirby, Jacqueline; Li, Bo; Vorobeychik, Yevgeniy; Malin, Bradley A
Electronic medical records (EMRs) are increasingly repurposed for activities beyond clinical care, such as to support translational research and public policy analysis. To mitigate privacy risks, healthcare organizations (HCOs) aim to remove potentially identifying patient information. A substantial quantity of EMR data is in natural language form and there are concerns that automated tools for detecting identifiers are imperfect and leak information that can be exploited by ill-intentioned data recipients. Thus, HCOs have been encouraged to invest as much effort as possible to find and detect potential identifiers, but such a strategy assumes the recipients are sufficiently incentivized and capable of exploiting leaked identifiers. In practice, such an assumption may not hold true and HCOs may overinvest in de-identification technology. The goal of this study is to design a natural language de-identification framework, rooted in game theory, which enables an HCO to optimize their investments given the expected capabilities of an adversarial recipient. We introduce a Stackelberg game to balance risk and utility in natural language de-identification. This game represents a cost-benefit model that enables an HCO with a fixed budget to minimize their investment in the de-identification process. We evaluate this model by assessing the overall payoff to the HCO and the adversary using 2100 clinical notes from Vanderbilt University Medical Center. We simulate several policy alternatives using a range of parameters, including the cost of training a de-identification model and the loss in data utility due to the removal of terms that are not identifiers. In addition, we compare policy options where, when an attacker is fined for misuse, a monetary penalty is paid to the publishing HCO as opposed to a third party (e.g., a federal regulator). Our results show that when an HCO is forced to exhaust a limited budget (set to $2000 in the study), the precision and recall of the
Redman, Joseph S; Natarajan, Yamini; Hou, Jason K; Wang, Jingqi; Hanif, Muzammil; Feng, Hua; Kramer, Jennifer R; Desiderio, Roxanne; Xu, Hua; El-Serag, Hashem B; Kanwal, Fasiha
Natural language processing is a powerful technique of machine learning capable of maximizing data extraction from complex electronic medical records. We utilized this technique to develop algorithms capable of "reading" full-text radiology reports to accurately identify the presence of fatty liver disease. Abdominal ultrasound, computerized tomography, and magnetic resonance imaging reports were retrieved from the Veterans Affairs Corporate Data Warehouse from a random national sample of 652 patients. Radiographic fatty liver disease was determined by manual review by two physicians and verified with an expert radiologist. A split validation method was utilized for algorithm development. For all three imaging modalities, the algorithms could identify fatty liver disease with >90% recall and precision, with F-measures >90%. These algorithms could be used to rapidly screen patient records to establish a large cohort to facilitate epidemiological and clinical studies and examine the clinic course and outcomes of patients with radiographic hepatic steatosis.
Full Text Available In the last decades, Natural Language Processing (NLP has obtained a high level of success. Interactions between NLP and Serious Games have started and some of them already include NLP techniques. The objectives of this paper are twofold: on the one hand, providing a simple framework to enable analysis of potential uses of NLP in Serious Games and, on the other hand, applying the NLP framework to existing Serious Games and giving an overview of the use of NLP in pedagogical Serious Games. In this paper we present 11 serious games exploiting NLP techniques. We present them systematically, according to the following structure: first, we highlight possible uses of NLP techniques in Serious Games, second, we describe the type of NLP implemented in the each specific Serious Game and, third, we provide a link to possible purposes of use for the different actors interacting in the Serious Game.
Miñarro-Giménez, Jose A; Kreuzthaler, Markus; Schulz, Stefan
The identification of relevant predicates between co-occurring concepts in scientific literature databases like MEDLINE is crucial for using these sources for knowledge extraction, in order to obtain meaningful biomedical predications as subject-predicate-object triples. We consider the manually assigned MeSH indexing terms (main headings and subheadings) in MEDLINE records as a rich resource for extracting a broad range of domain knowledge. In this paper, we explore the combination of a clustering method for co-occurring concepts based on their related MeSH subheadings in MEDLINE with the use of SemRep, a natural language processing engine, which extracts predications from free text documents. As a result, we generated sets of clusters of co-occurring concepts and identified the most significant predicates for each cluster. The association of such predicates with the co-occurrences of the resulting clusters produces the list of predications, which were checked for relevance.
Bosco, Cristina; Delmonte, Rodolfo; Moschitti, Alessandro; Simi, Maria
The papers collected in this volume are selected as a sample of the progress in Natural Language Processing (NLP) performed within the Italian NLP community and especially attested by the PARLI project. PARLI (Portale per l’Accesso alle Risorse in Lingua Italiana) is a project partially funded by the Ministero Italiano per l’Università e la Ricerca (PRIN 2008) from 2008 to 2012 for monitoring and fostering the harmonic growth and coordination of the activities of Italian NLP. It was proposed by various teams of researchers working in Italian universities and research institutions. According to the spirit of the PARLI project, most of the resources and tools created within the project and here described are freely distributed and they did not terminate their life at the end of the project itself, hoping they could be a key factor in future development of computational linguistics.
El Saadawi, Gilan M.; Tseytlin, Eugene; Legowski, Elizabeth; Jukic, Drazen; Castine, Melissa; Fine, Jeffrey; Gormley, Robert; Crowley, Rebecca S.
Introduction We developed and evaluated a Natural Language Interface (NLI) for an Intelligent Tutoring System (ITS) in Diagnostic Pathology. The system teaches residents to examine pathologic slides and write accurate pathology reports while providing immediate feedback on errors they make in their slide review and diagnostic reports. Residents can ask for help at any point in the case, and will receive context-specific feedback. Research Questions We evaluated (1) the performance of our natural language system, (2) the effect of the system on learning (3) the effect of feedback timing on learning gains and (4) the effect of ReportTutor on performance to self-assessment correlations. Methods The study uses a crossover 2×2 factorial design. We recruited 20 subjects from 4 academic programs. Subjects were randomly assigned to one of the four conditions - two conditions for the immediate interface, and two for the delayed interface. An expert dermatopathologist created a reference standard and 2 board certified AP/CP pathology fellows manually coded the residents' assessment reports. Subjects were given the opportunity to self grade their performance and we used a survey to determine student response to both interfaces. Results Our results show a highly significant improvement in report writing after one tutoring session with 4-fold increase in the learning gains with both interfaces but no effect of feedback timing on performance gains. Residents who used the immediate feedback interface first experienced a feature learning gain that is correlated with the number of cases they viewed. There was no correlation between performance and self-assessment in either condition. PMID:17934789
Pagare, Piyusha P; Zaidi, Saheem A; Zhang, Xiaomei; Li, Xia; Yu, Xiaofei; Wang, Xiang-Yang; Zhang, Yan
Scavenger receptor A (SRA), as an immune regulator, has been shown to play important roles in lipid metabolism, cardiovascular diseases, and pathogen recognition. Several natural product inhibitors of SRA have been studied for their potential application in modulating SRA functions. To understand the binding mode of these inhibitors on SRA, we conducted systematic molecular modeling studies in order to identify putative binding domain(s) that may be responsible for their recognition to the receptor as well as their inhibitory activity. Treatment of SRA with one of the natural product inhibitors, rhein, led to significant dissociation of SRA oligomers to its trimer and dimer forms, which further supported our hypothesis on their putative mechanism of action. Such information is believed to shed light on design of more potent inhibitors for the receptor in order to develop potential therapeutics through immune system modulation. Published by Elsevier Inc.
Student views on the nature of science are shaped by a variety of out-of-school forces and television-mediated science is a significant force. To attempt to achieve a science for all, we need to recognize and understand the diverse messages about science that students access and think about on a regular basis. In this work I examine how high school students think about science that is mediated by four different program genres on television: documentary, magazine-format programming, network news, and dramatic or fictional programming. The following categories of findings are discussed: the ethics and validity of science, final form science, science as portrayed by its practitioners, and school science and television science. Student perceptions of the nature of science depicted on the program sample used in this study ranged from seeing science as comprising tentative knowledge claims to seeing science as a fixed body of facts.
Heilman, James M; West, Andrew G
Wikipedia is a collaboratively edited encyclopedia. One of the most popular websites on the Internet, it is known to be a frequently used source of health care information by both professionals and the lay public. This paper quantifies the production and consumption of Wikipedia's medical content along 4 dimensions. First, we measured the amount of medical content in both articles and bytes and, second, the citations that supported that content. Third, we analyzed the medical readership against that of other health care websites between Wikipedia's natural language editions and its relationship with disease prevalence. Fourth, we surveyed the quantity/characteristics of Wikipedia's medical contributors, including year-over-year participation trends and editor demographics. Using a well-defined categorization infrastructure, we identified medically pertinent English-language Wikipedia articles and links to their foreign language equivalents. With these, Wikipedia can be queried to produce metadata and full texts for entire article histories. Wikipedia also makes available hourly reports that aggregate reader traffic at per-article granularity. An online survey was used to determine the background of contributors. Standard mining and visualization techniques (eg, aggregation queries, cumulative distribution functions, and/or correlation metrics) were applied to each of these datasets. Analysis focused on year-end 2013, but historical data permitted some longitudinal analysis. Wikipedia's medical content (at the end of 2013) was made up of more than 155,000 articles and 1 billion bytes of text across more than 255 languages. This content was supported by more than 950,000 references. Content was viewed more than 4.88 billion times in 2013. This makes it one of if not the most viewed medical resource(s) globally. The core editor community numbered less than 300 and declined over the past 5 years. The members of this community were half health care providers and 85
the following example of an alias error: I want a copy of Robinson Crusoe . Is Wordsworth Books open in Sunday? Ramshaw  has proposed that a...x), where x corresponds to a copy of Robinson Crusoe . Since possessing something can be achieved by purchasing it, the next most specific goal could
4,8 (14) 1 nr 4 sac can be operated in an alarm condition.____________ 20.0.0 Tech asist req. 1 2 (2) 1 20.1.1 During gth motor start, air pressure...rather than sa. In general, sa attachment of subcategorized-for pn’s is not regarded as an error, unless the verb + pn form a virtual idiom. The variety of
Doing-Harris, Kristina; Mowery, Danielle L.; Daniels, Chrissy; Chapman, Wendy W.; Conway, Mike
Important information is encoded in free-text patient comments. We determine the most common topics in patient comments, design automatic topic classifiers, identify comments ’ sentiment, and find new topics in negative comments. Our annotation scheme consisted of 28 topics, with positive and negative sentiment. Within those 28 topics, the seven most frequent accounted for 63% of annotations. For automated topic classification, we developed vocabulary-based and Naive Bayes ’ classifiers. For sentiment analysis, another Naive Bayes ’ classifier was used. Finally, we used topic modeling to search for unexpected topics within negative comments. The seven most common topics were appointment access, appointment wait, empathy, explanation, friendliness, practice environment, and overall experience. The best F-measures from our classifier were 0.52(NB), 0.57(NB), 0.36(Vocab), 0.74(NB), 0.40(NB), and 0.44(Vocab), respectively. F- scores ranged from 0.16 to 0.74. The sentiment classification F-score was 0.84. Negative comment topic modeling revealed complaints about appointment access, appointment wait, and time spent with physician. PMID:28269848
Ragonis, Noa; Shilo, Gila
The paper presents a theoretical investigational study of the potential advantages that secondary school learners may gain from learning two different subjects, namely, logic programming within computer science studies and argumentation texts within linguistics studies. The study suggests drawing an analogy between the two subjects since they both…
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Tolentino, Herman D; Matters, Michael D; Walop, Wikke; Law, Barbara; Tong, Wesley; Liu, Fang; Fontelo, Paul; Kohl, Katrin; Payne, Daniel C
The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safety. Reports about adverse events following immunization (AEFI) from surveillance systems contain free-text components that can be analyzed using natural language processing. To extract Unified Medical Language System (UMLS) concepts from free text and classify AEFI reports based on concepts they contain, we first needed to clean the text by expanding abbreviations and shortcuts and correcting spelling errors. Our objective in this paper was to create a UMLS-based spelling error correction tool as a first step in the natural language processing (NLP) pipeline for AEFI reports. We developed spell checking algorithms using open source tools. We used de-identified AEFI surveillance reports to create free-text data sets for analysis. After expansion of abbreviated clinical terms and shortcuts, we performed spelling correction in four steps: (1) error detection, (2) word list generation, (3) word list disambiguation and (4) error correction. We then measured the performance of the resulting spell checker by comparing it to manual correction. We used 12,056 words to train the spell checker and tested its performance on 8,131 words. During testing, sensitivity, specificity, and positive predictive value (PPV) for the spell checker were 74% (95% CI: 74-75), 100% (95% CI: 100-100), and 47% (95% CI: 46%-48%), respectively. We created a prototype spell checker that can be used to process AEFI reports. We used the UMLS Specialist Lexicon as the primary source of dictionary terms and the WordNet lexicon as a secondary source. We used the UMLS as a domain-specific source of dictionary terms to compare potentially misspelled words in the corpus. The prototype sensitivity was comparable to currently available tools, but the specificity was much superior. The slow processing
Full Text Available Abstract Background The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safety. Reports about adverse events following immunization (AEFI from surveillance systems contain free-text components that can be analyzed using natural language processing. To extract Unified Medical Language System (UMLS concepts from free text and classify AEFI reports based on concepts they contain, we first needed to clean the text by expanding abbreviations and shortcuts and correcting spelling errors. Our objective in this paper was to create a UMLS-based spelling error correction tool as a first step in the natural language processing (NLP pipeline for AEFI reports. Methods We developed spell checking algorithms using open source tools. We used de-identified AEFI surveillance reports to create free-text data sets for analysis. After expansion of abbreviated clinical terms and shortcuts, we performed spelling correction in four steps: (1 error detection, (2 word list generation, (3 word list disambiguation and (4 error correction. We then measured the performance of the resulting spell checker by comparing it to manual correction. Results We used 12,056 words to train the spell checker and tested its performance on 8,131 words. During testing, sensitivity, specificity, and positive predictive value (PPV for the spell checker were 74% (95% CI: 74–75, 100% (95% CI: 100–100, and 47% (95% CI: 46%–48%, respectively. Conclusion We created a prototype spell checker that can be used to process AEFI reports. We used the UMLS Specialist Lexicon as the primary source of dictionary terms and the WordNet lexicon as a secondary source. We used the UMLS as a domain-specific source of dictionary terms to compare potentially misspelled words in the corpus. The prototype sensitivity was comparable to currently available
Koerber, Susanne; Osterhaus, Christopher; Sodian, Beate
Understanding the nature of science (NOS) is a critical aspect of scientific reasoning, yet few studies have investigated its developmental beginnings and initial structure. One contributing reason is the lack of an adequate instrument. Two studies assessed NOS understanding among third graders using a multiple-select (MS) paper-and-pencil test. Study 1 investigated the validity of the MS test by presenting the items to 68 third graders (9-year-olds) and subsequently interviewing them on their underlying NOS conception of the items. All items were significantly related between formats, indicating that the test was valid. Study 2 applied the same instrument to a larger sample of 243 third graders, and their performance was compared to a multiple-choice (MC) version of the test. Although the MC format inflated the guessing probability, there was a significant relation between the two formats. In summary, the MS format was a valid method revealing third graders' NOS understanding, thereby representing an economical test instrument. A latent class analysis identified three groups of children with expertise in qualitatively different aspects of NOS, suggesting that there is not a single common starting point for the development of NOS understanding; instead, multiple developmental pathways may exist. © 2014 The British Psychological Society.
Maldonado Torres, Sonia Enid
The purpose of this study was to explore the relationships between Latino students' learning styles and their language spoken at home. Results of the study indicated that students who spoke Spanish at home had higher means in the Active Experimentation modality of learning (M = 31.38, SD = 5.70) than students who spoke English (M = 28.08,…
Full Text Available Conceptual knowledge accessed by language may involve the re-activation of the associated primary sensory-motor processes. Whether these embodied representations are indeed constitutive to conceptual knowledge is hotly debated, particularly since direct evidence that sensory-motor expertise can improve conceptual processing is scarce.In this study, we sought for this crucial piece of evidence, by training naive healthy subjects to perform complex manual actions and by measuring, before and after training, their performance in a semantic language task. 19 participants engaged in 3 weeks of motor training. Each participant was trained in 3 complex manual actions (e.g. origami. Before and after the training period, each subject underwent a series of manual dexterity tests and a semantic language task. The latter consisted of a sentence-picture semantic congruency judgment task, with 6 target congruent sentence-picture pairs (semantically related to the trained manual actions, 6 non-target congruent pairs (semantically unrelated, and 12 filler incongruent pairs.Manual action training induced a significant improvement in all manual dexterity tests, demonstrating the successful acquisition of sensory-motor expertise. In the semantic language task, the reaction times to both target and non-target congruent sentence-image pairs decreased after action training, indicating a more efficient conceptual-semantic processing. Noteworthy, the reaction times for target pairs decreased more than those for non-target pairs, as indicated by the 2x2 interaction. These results were confirmed when controlling for the potential bias of increased frequency of use of target lexical items during manual training.The results of the present study suggest that sensory-motor expertise gained by training of specific manual actions can lead to an improvement of cognitive-linguistic skills related to the specific conceptual-semantic domain associated to the trained actions.
Cole, Merryn L.
This dissertation employed a mixed-methods approach to examine the relationship between spatial reasoning ability and understanding of chemistry content for both middle school students and their science teachers. Spatial reasoning has been linked to success in learning STEM subjects (Wai, Lubinski, & Benbow, 2009). Previous studies have shown a correlation between understanding of chemistry content and spatial reasoning ability (e.g., Pribyl & Bodner, 1987; Wu & Shah, 2003: Stieff, 2013), raising the importance of developing the spatial reasoning ability of both teachers and students. Few studies examine middle school students' or in-service middle school teachers' understanding of chemistry concepts or its relation to spatial reasoning ability. The first paper in this dissertation addresses the quantitative relationship between mental rotation, a type of spatial reasoning ability, and understanding a fundamental concept in chemistry, the particulate nature of matter. The data showed a significant, positive correlation between scores on the Purdue Spatial Visualization Test of Rotations (PSVT; Bodner & Guay, 1997) and the Particulate Nature of Matter Assessment (ParNoMA; Yezierski, 2003) for middle school students prior to and after chemistry instruction. A significant difference in spatial ability among students choosing different answer choices on ParNoMA questions was also found. The second paper examined the ways in which students of different spatial abilities talked about matter and chemicals differently. Students with higher spatial ability tended to provide more of an explanation, though not necessarily in an articulate matter. In contrast, lower spatial ability students tended to use any keywords that seemed relevant, but provided little or no explanation. The third paper examined the relationship between mental reasoning and understanding chemistry for middle school science teachers. Similar to their students, a significant, positive correlation between
This paper considers the state of the science regarding language matters in medical education, with particular attention to two informal language practices: silence and humour. Silence and humour pervade clinical training settings, although we rarely attend explicitly to them. This paper considers the treatment of these topics in our field to date and introduces a selection of the scholarship on silence and humour from other fields, including philosophy, sociology, anthropology, linguistics and rhetoric. Particular attention is paid to distilling the theoretical and methodological possibilities for an elaborated research agenda around silence and humour in medical education. These two language practices assume a variety of forms and serve a range of social functions. Episodes of silence and humour are intimately tied to their relational and institutional contexts. Power often figures centrally, although not predictably. A rich theoretical and methodological basis exists on which to elaborate a research agenda around silence and humour in medical education. Such research promises to reveal more fully the contributions of silence and humour to socialisation in clinical training settings. © Blackwell Publishing Ltd 2013.
McColl, Derek; Jiang, Chuan; Nejat, Goldie
For social robots to be successfully integrated and accepted within society, they need to be able to interpret human social cues that are displayed through natural modes of communication. In particular, a key challenge in the design of social robots is developing the robot's ability to recognize a person's affective states (emotions, moods, and attitudes) in order to respond appropriately during social human-robot interactions (HRIs). In this paper, we present and discuss social HRI experiments we have conducted to investigate the development of an accessibility-aware social robot able to autonomously determine a person's degree of accessibility (rapport, openness) toward the robot based on the person's natural static body language. In particular, we present two one-on-one HRI experiments to: 1) determine the performance of our automated system in being able to recognize and classify a person's accessibility levels and 2) investigate how people interact with an accessibility-aware robot which determines its own behaviors based on a person's speech and accessibility levels.
Bosworth, Rain G.; Bartlett, Marian Stewart; Dobkins, Karen R.
Several lines of evidence suggest that the image statistics of the environment shape visual abilities. To date, the image statistics of natural scenes and faces have been well characterized using Fourier analysis. We employed Fourier analysis to characterize images of signs in American Sign Language (ASL). These images are highly relevant to signers who rely on ASL for communication, and thus the image statistics of ASL might influence signers' visual abilities. Fourier analysis was conducted on 105 static images of signs, and these images were compared with analyses of 100 natural scene images and 100 face images. We obtained two metrics from our Fourier analysis: mean amplitude and entropy of the amplitude across the image set (which is a measure from information theory) as a function of spatial frequency and orientation. The results of our analyses revealed interesting differences in image statistics across the three different image sets, setting up the possibility that ASL experience may alter visual perception in predictable ways. In addition, for all image sets, the mean amplitude results were markedly different from the entropy results, which raises the interesting question of which aspect of an image set (mean amplitude or entropy of the amplitude) is better able to account for known visual abilities.
Exploring the Relationships Between Independent Listening and Listening-Reading-Writing Tasks in Chinese Language Testing:Toward a Better Understanding of the Construct Underlying Integrated Writing Tasks
Zhu, Xinhua; Li, Xueyan; Yu, Guoxing; Cheong, Choo Mui; Liao, Xian
Integrated assessment tasks have been increasingly used in language tests, but the underlying constructs of integrated tasks remain elusive. This study aimed to improve understanding of the construct of integrated writing tasks in Chinese Language examinations in Hong Kong by looking at the language competences measured in the Listening-Reading-Writing Task and how they relate to the outcome of the Independent Listening Task. The performance of 226 native Chinese Secondary Five students on bo...
Dahlke, H. E.; Walter, M. T.; Lyon, S. W.; Rosqvist, G. N.
Identifying and characterizing the sources, pathways and residence times of water and associated constituents is critical to developing improved understanding of watershed-stream connections and hydrological/ecological/biogeochemical models. To date the most robust information is obtained from integrated studies that combine natural tracers (e.g. isotopes, geochemical tracers) with controlled chemical tracer (e.g., bromide, dyes) or colloidal tracer (e.g., carboxilated microspheres, tagged clay particles, microorganisms) applications. In the presented study we explore how understanding of sources and flow pathways of water derived from natural tracer studies can be improved and expanded in space and time by simultaneously introducing man-made, synthetic DNA-based microtracers. The microtracer used were composed of polylactic acid (PLA) microspheres into which short strands of synthetic DNA and paramagnetic iron oxide nanoparticles are incorporated. Tracer experiments using both natural tracers and the DNA-based microtracers were conducted in the sub-arctic, glacierized Tarfala (21.7 km2) catchment in northern Sweden. Isotopic hydrograph separations revealed that even though storm runoff was dominated by pre-event water the event water (i.e. rainfall) contributions to streamflow increased throughout the summer season as glacial snow cover decreased. This suggests that glaciers are a major source of the rainwater fraction in streamflow. Simultaneous injections of ten unique DNA-based microtracers confirmed this hypothesis and revealed that the transit time of water traveling from the glacier surface to the stream decreased fourfold over the summer season leading to instantaneous rainwater contributions during storm events. These results highlight that integrating simultaneous tracer injections (injecting tracers at multiple places at one time) with traditional tracer methods (sampling multiple times at one place) rather than using either approach in isolation can
Wald, Dara M; Segal, Elizabeth A; Johnston, Erik W; Vinze, Ajay
Public engagement in collaborative natural resource management necessitates shared understanding and collaboration. Empathic perspective-taking is a critical facilitator of shared understanding and positive social interactions, such as collaboration. Yet there is currently little understanding about how to reliably generate empathic perspective-taking and collaboration, particularly in situations involving the unequal distribution of environmental resources or power. Here we examine how experiencing the loss or gain of social power influenced empathic perspective-taking and behavior within a computer-mediated scenario. Participants (n = 180) were randomly assigned to each condition: high resources, low resources, lose resources, gain resources. Contrary to our expectations, participants in the perspective-taking condition, specifically those who lost resources, also lost perspective taking and exhibited egoistic behavior. This finding suggests that resource control within the collaborative process is a key contextual variable that influences perspective-taking and collaborative behavior. Moreover, the observed relationship between perspective-taking and egoistic behavior within a collaborative resource sharing exercise suggests that when resource control or access is unequal, interventions to promote perspective-taking deserve careful consideration. Copyright © 2017 Elsevier Ltd. All rights reserved.
Gong, Tao; Shuai, Lan
Memory is essential to many cognitive tasks including language. Apart from empirical studies of memory effects on language acquisition and use, there lack sufficient evolutionary explorations on whether a high level of memory capacity is prerequisite for language and whether language origin could influence memory capacity. In line with evolutionary theories that natural selection refined language-related cognitive abilities, we advocated a coevolution scenario between language and memory capacity, which incorporated the genetic transmission of individual memory capacity, cultural transmission of idiolects, and natural and cultural selections on individual reproduction and language teaching. To illustrate the coevolution dynamics, we adopted a multi-agent computational model simulating the emergence of lexical items and simple syntax through iterated communications. Simulations showed that: along with the origin of a communal language, an initially-low memory capacity for acquired linguistic knowledge was boosted; and such coherent increase in linguistic understandability and memory capacities reflected a language-memory coevolution; and such coevolution stopped till memory capacities became sufficient for language communications. Statistical analyses revealed that the coevolution was realized mainly by natural selection based on individual communicative success in cultural transmissions. This work elaborated the biology-culture parallelism of language evolution, demonstrated the driving force of culturally-constituted factors for natural selection of individual cognitive abilities, and suggested that the degree difference in language-related cognitive abilities between humans and nonhuman animals could result from a coevolution with language.
Pelucchi, Bruna; Hay, Jessica F.; Saffran, Jenny R.
Numerous studies over the past decade support the claim that infants are equipped with powerful statistical language learning mechanisms. The primary evidence for statistical language learning in word segmentation comes from studies using artificial languages, continuous streams of synthesized syllables that are highly simplified relative to real…
Comeau, Donald C; Liu, Haibin; Islamaj Doğan, Rezarta; Wilbur, W John
BioC is a new format and associated code libraries for sharing text and annotations. We have implemented BioC natural language preprocessing pipelines in two popular programming languages: C++ and Java. The current implementations interface with the well-known MedPost and Stanford natural language processing tool sets. The pipeline functionality includes sentence segmentation, tokenization, part-of-speech tagging, lemmatization and sentence parsing. These pipelines can be easily integrated along with other BioC programs into any BioC compliant text mining systems. As an application, we converted the NCBI disease corpus to BioC format, and the pipelines have successfully run on this corpus to demonstrate their functionality. Code and data can be downloaded from http://bioc.sourceforge.net. Database URL: http://bioc.sourceforge.net. © The Author(s) 2014. Published by Oxford University Press.
Prieto Velasco, Juan Antonio; Tercedor Sánchez, Maribel
Cognitive linguistics assumes that knowledge is both embodied and situated as far as it is acquired through our bodily interaction with the world in a specific environment (e.g. Barsalou in Lang Cogn Process 18:513-562, 2003; Connell et al. in PLoS One 7:3, 2012). Therefore, embodiment provides an explanation to the mental representation and linguistic expression of concepts. Among the first, we find multimodal conceptual structures, like image schemas, which are schematic representations of embodied experiences resulting from our conceptualization of the surrounding environment (Tercedor Sánchez et al. in J Spec Transl 18:187-205, 2012). Furthermore, the way we interact with the environment and its objects is dynamic and configures how we refer to concepts both by means of images and lexicalizations. In this article, we investigate how image schemas underlie verbal and visual representations. They both evoke concepts based on exteroception, interoception and proprioception which can be lexicalized through language. More specifically, we study (1) a multimodal corpus of medical texts to examine how image schemas lexicalize in the language of medicine to represent specialized concepts and (2) medical pictures to explore the depiction of image-schematic concepts, in order to account for the verbal and visual representation of embodied concepts. We explore the concept PAIN, a sensory and emotional experience associated with actual or potential tissue damage, using corpus analysis tools (Sketch Engine) to extract information about the lexicalization of underlying image schemas in definitions and defining contexts. Then, we use the image schemas behind medical concepts to consistently select images which depict our experience of pain and the way we understand it. Finally, such lexicalizations and visualizations will help us assess how we refer to PAIN both verbally and visually.
Fong, Allan; Harriott, Nicole; Walters, Donna M; Foley, Hanan; Morrissey, Richard; Ratwani, Raj R
Many healthcare providers have implemented patient safety event reporting systems to better understand and improve patient safety. Reviewing and analyzing these reports is often time consuming and resource intensive because of both the quantity of reports and length of free-text descriptions in the reports. Natural language processing (NLP) experts collaborated with clinical experts on a patient safety committee to assist in the identification and analysis of medication related patient safety events. Different NLP algorithmic approaches were developed to identify four types of medication related patient safety events and the models were compared. Well performing NLP models were generated to categorize medication related events into pharmacy delivery delays, dispensing errors, Pyxis discrepancies, and prescriber errors with receiver operating characteristic areas under the curve of 0.96, 0.87, 0.96, and 0.81 respectively. We also found that modeling the brief without the resolution text generally improved model performance. These models were integrated into a dashboard visualization to support the patient safety committee review process. We demonstrate the capabilities of various NLP models and the use of two text inclusion strategies at categorizing medication related patient safety events. The NLP models and visualization could be used to improve the efficiency of patient safety event data review and analysis. Copyright © 2017 Elsevier B.V. All rights reserved.
Dessus, Philippe; Trausan-Matu, Stefan; Van Rosmalen, Peter; Wild, Fridolin
Dessus, P., Trausan-Matu, S., Van Rosmalen, P., & Wild, F. (Eds.) (2009). AIED 2009 Workshops Proceedings Volume 10 Natural Language Processing in Support of Learning: Metrics, Feedback and Connectivity. In S. D. Craig & D. Dicheva (Eds.), AIED 2009: 14th International Conference in Artificial
Sermet, M. Y.; Demir, I.; Krajewski, W. F.
The Iowa Flood Information System (IFIS) is a web-based platform developed by the Iowa Flood Center (IFC) to provide access to flood inundation maps, real-time flood conditions, flood forecasts, flood-related data, information and interactive visualizations for communities in Iowa. The IFIS is designed for use by general public, often people with no domain knowledge and limited general science background. To improve effective communication with such audience, we have introduced a voice-enabled knowledge engine on flood related issues in IFIS. Instead of navigating within many features and interfaces of the information system and web-based sources, the system provides dynamic computations based on a collection of built-in data, analysis, and methods. The IFIS Knowledge Engine connects to real-time stream gauges, in-house data sources, analysis and visualization tools to answer natural language questions. Our goal is the systematization of data and modeling results on flood related issues in Iowa, and to provide an interface for definitive answers to factual queries. The goal of the knowledge engine is to make all flood related knowledge in Iowa easily accessible to everyone, and support voice-enabled natural language input. We aim to integrate and curate all flood related data, implement analytical and visualization tools, and make it possible to compute answers from questions. The IFIS explicitly implements analytical methods and models, as algorithms, and curates all flood related data and resources so that all these resources are computable. The IFIS Knowledge Engine computes the answer by deriving it from its computational knowledge base. The knowledge engine processes the statement, access data warehouse, run complex database queries on the server-side and return outputs in various formats. This presentation provides an overview of IFIS Knowledge Engine, its unique information interface and functionality as an educational tool, and discusses the future plans
Ball, E. E.; Adams, D. M.; Dupuie, J. N.; Jones, M. M.; McGovern, P. G.; Ruden, R. M.; Schmidt, S.R.; Vaziri, G. J.; Eeling, J. S.; Kirk, B. D.; McCombs, A. L.; Rabinowitz, A. B.; Thompson, K. M.; Hudson, Z. J.; Klaver, Robert W.
A common thought among graduate students is: “how do established scientists get where they are today?” In Serendipity: An Ecologist’s Quest to Understand Nature, James Estes offers a personal reflection on research experiences spanning his 50-year career, beginning as a Ph.D. student in 1970 and concluding with recognition as a member of the National Academy of Sciences in 2014. Estes chronologically outlines the foundational trophic cascade ecology research that he and colleagues conducted in the Aleutian Islands, examining key relationships among kelp forests, sea otters, sea urchins, and killer whales through anecdotal stories of achievement and challenge. Estes’ 3 main goals in writing this book are to: (1) recount what he had learned from 50 years of research;...
Chapman, Ralph; Howden-Chapman, Philippa; Capon, Anthony
Understanding cities comprehensively as systems is a costly challenge and is typically not feasible for policy makers. Nevertheless, focusing on some key systemic characteristics of cities can give useful insights for policy to advance health and well-being outcomes. Moreover, if we take a coevolutionary systems view of cities, some conventional assumptions about the nature of urban development (e.g. the growth in private vehicle use with income) may not stand up. We illustrate this by examining the coevolution of urban transport and land use systems, and institutional change, giving examples of policy implications. At a high level, our concern derives from the need to better understand the dynamics of urban change, and its implications for health and well-being. At a practical level, we see opportunities to use stylised findings about urban systems to underpin policy experiments. While it is now not uncommon to view cities as systems, policy makers appear to have made little use so far of a systems approach to inform choice of policies with consequences for health and well-being. System insights can be applied to intelligently anticipate change - for example, as cities are subjected to increasing natural system reactions to climate change, they must find ways to mitigate and adapt to it. Secondly, systems insights around policy cobenefits are vital for better informing horizontal policy integration. Lastly, an implication of system complexity is that rather than seeking detailed, 'full' knowledge about urban issues and policies, cities would be well advised to engage in policy experimentation to address increasingly urgent health and climate change issues. Copyright © 2016 Elsevier Ltd. All rights reserved.
Skotko, Brian G.; Rubin, David C.; Tupler, Larry A.
The amnesic patient H.M. has been solving crossword puzzles nearly all of his life. Here, we analyzed the linguistic content of 277 of H.M.’s crossword-puzzle solutions. H.M. did not have any unusual difficulties with the orthographic and grammatical components inherent to the puzzles. He exhibited few spelling errors, responded with appropriate parts of speech, and provided answers that were, at times, more convincing to observers than those supplied by the answer keys. These results suggest that H.M.’s lexical word-retrieval skills remain fluid despite his profound anterograde amnesia. Once acquired, the maintenance of written language comprehension and production does not seem to require intact medial temporal lobe structures. PMID:18286414
Lindhe, Christina; Hartelius, Lena
The aim of the study was to describe the subjective ratings of the course 'Training of the student's own voice and speech', from a student-centred perspective. A questionnaire was completed after each of the six individual sessions. Six speech and language pathology (SLP) students rated how they perceived the practical exercises in terms of doing and understanding. The results showed that five of the six participants rated the exercises as significantly easier to understand than to do. The exercises were also rated as easier to do over time. Results are interpreted within in a theoretical framework of approaches to learning. The findings support the importance of both the physical and reflective aspects of the voice training process.
Kar, B.; Robinson, C.; Koch, D. B.; Omitaomu, O.
The Sendai Framework for Disaster Risk Reduction 2015-2030 identified the following four priorities to prevent and reduce disaster risks: i) understanding disaster risk; ii) strengthening governance to manage disaster risk; iii) investing in disaster risk reduction for resilience and; iv) enhancing disaster preparedness for effective response, and to "Build Back Better" in recovery, rehabilitation and reconstruction. While forecasting and decision making tools are in place to predict and understand future impacts of natural hazards, the knowledge to action approach that currently exists fails to provide updated information needed by decision makers to undertake response and recovery efforts following a hazard event. For instance, during a tropical storm event advisories are released every two to three hours, but manual analysis of geospatial data to determine potential impacts of the event tends to be time-consuming and a post-event process. Researchers at Oak Ridge National Laboratory have developed a Spatial Decision Support System that enables real-time analysis of storm impact based on updated advisory. A prototype of the tool that focuses on determining projected power outage areas and projected duration of outages demonstrates the feasibility of integrating science with decision making for emergency management personnel to act in real time to protect communities and reduce risk.
Kirrie J. Ballard
Full Text Available Researchers have interpreted the behaviours of individuals with acquired apraxia of speech (AOS as impairment of linguistic phonological processing, motor control, or both. Acoustic, kinematic, and perceptual studies of speech in more recent years have led to significant advances in our understanding of the disorder and wide acceptance that it affects phonetic - motoric planning of speech. However, newly developed methods for studying nonspeech motor control are providing new insights, indicating that the motor control impairment of AOS extends beyond speech and is manifest in nonspeech movements of the oral structures. We present the most recent developments in theory and methods to examine and define the nature of AOS. Theories of the disorder are then related to existing treatment approaches and the efficacy of these approaches is examined. Directions for development of new treatments are posited. It is proposed that treatment programmes driven by a principled account of how the motor system learns to produce skilled actions will provide the most efficient and effective framework for treating motorbased speech disorders. In turn, well controlled and theoretically motivated studies of treatment efficacy promise to stimulate further development of theoretical accounts and contribute to our understanding of AOS.
Crowley, Rebecca S.; Tseytlin, Eugene; Jukic, Drazen
ReportTutor is an extension to our work on Intelligent Tutoring Systems for visual diagnosis. ReportTutor combines a virtual microscope and a natural language interface to allow students to visually inspect a virtual slide as they type a diagnostic report on the case. The system monitors both actions in the virtual microscope interface as well as text created by the student in the reporting interface. It provides feedback about the correctness, completeness, and style of the report. ReportTutor uses MMTx with a custom data-source created with the NCI Metathesaurus. A separate ontology of cancer specific concepts is used to structure the domain knowledge needed for evaluation of the student’s input including co-reference resolution. As part of the early evaluation of the system, we collected data from 4 pathology residents who typed in their reports without the tutoring aspects of the system, and compared responses to an expert dermatopathologist. We analyzed the resulting reports to (1) identify the error rates and distribution among student reports, (2) determine the performance of the system in identifying features within student reports, and (3) measure the accuracy of the system in distinguishing between correct and incorrect report elements. PMID:16779024
Afzal, Naveed; Mallipeddi, Vishnu Priya; Sohn, Sunghwan; Liu, Hongfang; Chaudhry, Rajeev; Scott, Christopher G; Kullo, Iftikhar J; Arruda-Olson, Adelaide M
Critical limb ischemia (CLI) is a complication of advanced peripheral artery disease (PAD) with diagnosis based on the presence of clinical signs and symptoms. However, automated identification of cases from electronic health records (EHRs) is challenging due to absence of a single definitive International Classification of Diseases (ICD-9 or ICD-10) code for CLI. In this study, we extend a previously validated natural language processing (NLP) algorithm for PAD identification to develop and validate a subphenotyping NLP algorithm (CLI-NLP) for identification of CLI cases from clinical notes. We compared performance of the CLI-NLP algorithm with CLI-related ICD-9 billing codes. The gold standard for validation was human abstraction of clinical notes from EHRs. Compared to billing codes the CLI-NLP algorithm had higher positive predictive value (PPV) (CLI-NLP 96%, billing codes 67%, p tools and support a learning healthcare system. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.
Full Text Available Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving judicial decisions. This can be useful, for both lawyers and judges, as an assisting tool to rapidly identify cases and extract patterns which lead to certain decisions. This paper presents the first systematic study on predicting the outcome of cases tried by the European Court of Human Rights based solely on textual content. We formulate a binary classification task where the input of our classifiers is the textual content extracted from a case and the target output is the actual judgment as to whether there has been a violation of an article of the convention of human rights. Textual information is represented using contiguous word sequences, i.e., N-grams, and topics. Our models can predict the court’s decisions with a strong accuracy (79% on average. Our empirical analysis indicates that the formal facts of a case are the most important predictive factor. This is consistent with the theory of legal realism suggesting that judicial decision-making is significantly affected by the stimulus of the facts. We also observe that the topical content of a case is another important feature in this classification task and explore this relationship further by conducting a qualitative analysis.
Full Text Available As we discuss, a stationary stochastic process is nonergodic when a random persistent topic can be detected in the infinite random text sampled from the process, whereas we call the process strongly nonergodic when an infinite sequence of independent random bits, called probabilistic facts, is needed to describe this topic completely. Replacing probabilistic facts with an algorithmically random sequence of bits, called algorithmic facts, we adapt this property back to ergodic processes. Subsequently, we call a process perigraphic if the number of algorithmic facts which can be inferred from a finite text sampled from the process grows like a power of the text length. We present a simple example of such a process. Moreover, we demonstrate an assertion which we call the theorem about facts and words. This proposition states that the number of probabilistic or algorithmic facts which can be inferred from a text drawn from a process must be roughly smaller than the number of distinct word-like strings detected in this text by means of the Prediction by Partial Matching (PPM compression algorithm. We also observe that the number of the word-like strings for a sample of plays by Shakespeare follows an empirical stepwise power law, in a stark contrast to Markov processes. Hence, we suppose that natural language considered as a process is not only non-Markov but also perigraphic.
Workman, T Elizabeth; Stoddart, Joan M
This paper examines the use of Semantic MEDLINE, a natural language processing application enhanced with a statistical algorithm known as Combo, as a potential decision support tool for clinicians. Semantic MEDLINE summarizes text in PubMed citations, transforming it into compact declarations that are filtered according to a user's information need that can be displayed in a graphic interface. Integration of the Combo algorithm enables Semantic MEDLINE to deliver information salient to many diverse needs. The authors selected three disease topics and crafted PubMed search queries to retrieve citations addressing the prevention of these diseases. They then processed the citations with Semantic MEDLINE, with the Combo algorithm enhancement. To evaluate the results, they constructed a reference standard for each disease topic consisting of preventive interventions recommended by a commercial decision support tool. Semantic MEDLINE with Combo produced an average recall of 79% in primary and secondary analyses, an average precision of 45%, and a final average F-score of 0.57. This new approach to point-of-care information delivery holds promise as a decision support tool for clinicians. Health sciences libraries could implement such technologies to deliver tailored information to their users.
Meystre, Stéphane; Haug, Peter J
In this study, we evaluate the performance of a Natural Language Processing (NLP) application designed to extract medical problems from narrative text clinical documents. The documents come from a patient's electronic medical record and medical problems are proposed for inclusion in the patient's electronic problem list. This application has been developed to help maintain the problem list and make it more accurate, complete, and up-to-date. The NLP part of this system-analyzed in this study-uses the UMLS MetaMap Transfer (MMTx) application and a negation detection algorithm called NegEx to extract 80 different medical problems selected for their frequency of use in our institution. When using MMTx with its default data set, we measured a recall of 0.74 and a precision of 0.756. A custom data subset for MMTx was created, making it faster and significantly improving the recall to 0.896 with a non-significant reduction in precision.
Goff, Daniel J; Loehfelm, Thomas W
Diagnostic radiologists are expected to review and assimilate findings from prior studies when constructing their overall assessment of the current study. Radiology information systems facilitate this process by presenting the radiologist with a subset of prior studies that are more likely to be relevant to the current study, usually by comparing anatomic coverage of both the current and prior studies. It is incumbent on the radiologist to review the full text report and/or images from those prior studies, a process that is time-consuming and confers substantial risk of overlooking a relevant prior study or finding. This risk is compounded when patients have dozens or even hundreds of prior imaging studies. Our goal is to assess the feasibility of natural language processing techniques to automatically extract asserted and negated disease entities from free-text radiology reports as a step towards automated report summarization. We compared automatically extracted disease mentions to a gold-standard set of manual annotations for 50 radiology reports from CT abdomen and pelvis examinations. The automated report summarization pipeline found perfect or overlapping partial matches for 86% of the manually annotated disease mentions (sensitivity 0.86, precision 0.66, accuracy 0.59, F1 score 0.74). The performance of the automated pipeline was good, and the overall accuracy was similar to the interobserver agreement between the two manual annotators.
Luo, Yuan; Thompson, William K; Herr, Timothy M; Zeng, Zexian; Berendsen, Mark A; Jonnalagadda, Siddhartha R; Carson, Matthew B; Starren, Justin
The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug events (ADEs) with pharmaceutical products. This article is a comprehensive structured review of recent advances in applying natural language processing (NLP) to electronic health record (EHR) narratives for pharmacovigilance. We review methods of varying complexity and problem focus, summarize the current state-of-the-art in methodology advancement, discuss limitations and point out several promising future directions. The ability to accurately capture both semantic and syntactic structures in clinical narratives becomes increasingly critical to enable efficient and accurate ADE detection. Significant progress has been made in algorithm development and resource construction since 2000. Since 2012, statistical analysis and machine learning methods have gained traction in automation of ADE mining from EHR narratives. Current state-of-the-art methods for NLP-based ADE detection from EHRs show promise regarding their integration into production pharmacovigilance systems. In addition, integrating multifaceted, heterogeneous data sources has shown promise in improving ADE detection and has become increasingly adopted. On the other hand, challenges and opportunities remain across the frontier of NLP application to EHR-based pharmacovigilance, including proper characterization of ADE context, differentiation between off- and on-label drug-use ADEs, recognition of the importance of polypharmacy-induced ADEs, better integration of heterogeneous data sources, creation of shared corpora, and organization of shared-task challenges to advance the state-of-the-art.
Falomir, Zoe; Kluth, Thomas
The challenge of describing 3D real scenes is tackled in this paper using qualitative spatial descriptors. A key point to study is which qualitative descriptors to use and how these qualitative descriptors must be organized to produce a suitable cognitive explanation. In order to find answers, a survey test was carried out with human participants which openly described a scene containing some pieces of furniture. The data obtained in this survey are analysed, and taking this into account, the QSn3D computational approach was developed which uses a XBox 360 Kinect to obtain 3D data from a real indoor scene. Object features are computed on these 3D data to identify objects in indoor scenes. The object orientation is computed, and qualitative spatial relations between the objects are extracted. These qualitative spatial relations are the input to a grammar which applies saliency rules obtained from the survey study and generates cognitive natural language descriptions of scenes. Moreover, these qualitative descriptors can be expressed as first-order logical facts in Prolog for further reasoning. Finally, a validation study is carried out to test whether the descriptions provided by QSn3D approach are human readable. The obtained results show that their acceptability is higher than 82%.
A. E. Pismak
Full Text Available Subject of Research. The paper is focused on Wiktionary articles structural organization in the aspect of its usage as the base for semantic network. Wiktionary community references, article templates and articles markup features are analyzed. The problem of numerical estimation for semantic similarity of structural elements in Wiktionary articles is considered. Analysis of existing software for semantic similarity estimation of such elements is carried out; algorithms of their functioning are studied; their advantages and disadvantages are shown. Methods. Mathematical statistics methods were used to analyze Wiktionary articles markup features. The method of semantic similarity computing based on statistics data for compared structural elements was proposed.Main Results. We have concluded that there is no possibility for direct use of Wiktionary articles as the source for semantic network. We have proposed to find hidden similarity between article elements, and for that purpose we have developed the algorithm for calculation of confidence coefficients proving that each pair of sentences is semantically near. The research of quantitative and qualitative characteristics for the developed algorithm has shown its major performance advantage over the other existing solutions in the presence of insignificantly higher error rate. Practical Relevance. The resulting algorithm may be useful in developing tools for automatic Wiktionary articles parsing. The developed method could be used in computing of semantic similarity for short text fragments in natural language in case of algorithm performance requirements are higher than its accuracy specifications.
Dang, Pragya A; Kalra, Mannudeep K; Blake, Michael A; Schultz, Thomas J; Stout, Markus; Lemay, Paul R; Freshman, David J; Halpern, Elkan F; Dreyer, Keith J
The study purpose was to describe the use of natural language processing (NLP) and online analytic processing (OLAP) for assessing patterns in recommendations in unstructured radiology reports on the basis of patient and imaging characteristics, such as age, gender, referring physicians, radiology subspecialty, modality, indications, diseases, and patient status (inpatient vs outpatient). A database of 4,279,179 radiology reports from a single tertiary health care center during a 10-year period (1995-2004) was created. The database includes reports of computed tomography, magnetic resonance imaging, fluoroscopy, nuclear medicine, ultrasound, radiography, mammography, angiography, special procedures, and unclassified imaging tests with patient demographics. A clinical data mining and analysis NLP program (Leximer, Nuance Inc, Burlington, Massachusetts) in conjunction with OLAP was used for classifying reports into those with recommendations (I(REC)) and without recommendations (N(REC)) for imaging and determining I(REC) rates for different patient age groups, gender, imaging modalities, indications, diseases, subspecialties, and referring physicians. In addition, temporal trends for I(REC) were also determined. There was a significant difference in the I(REC) rates in different age groups, varying between 4.8% (10-19 years) and 9.5% (>70 years) (P OLAP revealed considerable differences between recommendation trends for different imaging modalities and other patient and imaging characteristics.
Full Text Available This paper aims at investigating the meaning of “to bring” in Ciacia language based on the Natural Semantics Metalanguage (NSM theory, an approach to investigate various forms, structure, and meaning as the whole with the principle of “one form for one meaning and one meaning for one form”. The data were collected through interview and note taking techniques. The result of this study shows that meaning of “to bring” in Ciacia can be expressed by a number of lexicons. Each form has certain or distinctive meaning. First is suu meaning ‘to bring something by putting on head’; second are tongku and lemba meaning ‘to bring something by putting on shoulder’; third is temba meaning ‘to bring something by putting on chest’; fourth lexicon are solo/rongo meaning ‘to bring something by putting on the back’; fifth are bimbi and sele meaning ‘to bring something by putting on waist’; and lastly ntai, kopo, and tape meaning ‘to bring something by putting on finger’.
Alt, Mary; Arizmendi, Genesis D.; Beal, Carole R.
Purpose: The present study examined the relationship between mathematics and language to better understand the nature of the deficit and the academic implications associated with specific language impairment (SLI) and academic implications for English language learners (ELLs). Method: School-age children (N = 61; 20 SLI, 20 ELL, 21 native…
Duch, Włodzisław; Matykiewicz, Paweł; Pestian, John
Understanding written or spoken language presumably involves spreading neural activation in the brain. This process may be approximated by spreading activation in semantic networks, providing enhanced representations that involve concepts not found directly in the text. The approximation of this process is of great practical and theoretical interest. Although activations of neural circuits involved in representation of words rapidly change in time snapshots of these activations spreading through associative networks may be captured in a vector model. Concepts of similar type activate larger clusters of neurons, priming areas in the left and right hemisphere. Analysis of recent brain imaging experiments shows the importance of the right hemisphere non-verbal clusterization. Medical ontologies enable development of a large-scale practical algorithm to re-create pathways of spreading neural activations. First concepts of specific semantic type are identified in the text, and then all related concepts of the same type are added to the text, providing expanded representations. To avoid rapid growth of the extended feature space after each step only the most useful features that increase document clusterization are retained. Short hospital discharge summaries are used to illustrate how this process works on a real, very noisy data. Expanded texts show significantly improved clustering and may be classified with much higher accuracy. Although better approximations to the spreading of neural activations may be devised a practical approach presented in this paper helps to discover pathways used by the brain to process specific concepts, and may be used in large-scale applications.
Yu. S. Hetsevich
Full Text Available The article focuses on the problems existing in text-to-speech synthesis. Different morphological, lexical and syntactical elements were localized with the help of the Belarusian unit of NooJ program. Those types of errors, which occur in Belarusian texts, were analyzed and corrected. Language model and part of speech tagging model were built. The natural language processing of Belarusian corpus with the help of developed algorithm using machine learning was carried out. The precision of developed models of machine learning has been 80–90 %. The dictionary was enriched with new words for the further using it in the systems of Belarusian speech synthesis.
Corballis, Michael C.
The mirror system provided a natural platform for the subsequent evolution of language. In nonhuman primates, the system provides for the understanding of biological action, and possibly for imitation, both prerequisites for language. I argue that language evolved from manual gestures, initially as a system of pantomime, but with gestures…
van der Kroon, Linda; Jauregi Ondarra, M.K.|info:eu-repo/dai/nl/276318102; ten Thije, J.D.|info:eu-repo/dai/nl/10391515X
The development of intercultural communicative competence is increasingly important in this globalised and highly digitalised world. This implies the adequate understanding of otherness, which entails a myriad of complex cognitive competences, skills and behaviour. The TILA project aims to study how
Ramírez, A Susana; Willis, Gordon; Rutten, Lila Finney
Spanish-speaking Latinos account for 13% of the U.S. population yet are chronically under-represented in national surveys; additionally, the response quality suffers from low literacy rates and translation challenges. These are the same issues that health communicators face when understanding how best to communicate important health information to Latinos. The Health Information National Trends Survey (HINTS) offers a unique opportunity to understand the health communication landscape and information needs of the U.S. We describe the challenges in recruiting Spanish-speaking HINTS respondents and strategies used to improve rates and quality of responses among Spanish-speaking Latinos. Cognitive interviewing techniques helped to better understand how Spanish-speaking Latinos were interpreting the survey questions, and the extent to which these interpretations matched English-speaking respondents' interpretations. Some Spanish-speaking respondents had difficulty with the questions because of a lack of access to health care. Additionally, Spanish-speaking respondents had a particularly hard time answering questions that were presented in a grid format. We describe the cognitive interview process, and consider the impact of format changes on Spanish-speaking people's responses and response quality. We discuss challenges that remain in understanding health information needs of non-English-speakers.