WorldWideScience

Sample records for higher-level language processing

  1. A higher level language data acquisition system (III) - the user data acquisition program

    International Nuclear Information System (INIS)

    Finn, J.M.; Gulbranson, R.L.; Huang, T.L.

    1983-01-01

    The nuclear physics group at the University of Illinois has implemented a data acquisition system using modified versions of the Concurrent Pascal and Sequential Pascal languages. The user, a physicist, develops a data acquisition ''operating system'', written in these higher level languages, which is tailored to the planned experiment. The user must include only those system functions which are essential to the task, thus improving efficiency. The user program is constructed from simple modules, mainly consisting of Concurrent Pascal PROCESSes, MONITORs, and CLASSes together with appropriate data type definitions. Entire programs can be put together using ''cut and paste'' techniques. Planned enhancements include the automating of this process. Systems written for the Perkin-Elmer 3220 using this approach can easily exceed 2 kHz data rates for event by event handling; 20 kHz data rates have been achieved by the addition of buffers in the interrupt handling software. These rates have been achieved without the use of special-purpose hardware such as micro-programmed branch drivers. With the addition of such devices even higher data rates should be possible

  2. Reading Comprehension, Working Memory and Higher-Level Language Skills in Children with SLI and/or Dyslexia

    Science.gov (United States)

    Wong, Anita M.-Y.; Ho, Connie S.-H.; Au, Terry K.-F.; McBride, Catherine; Ng, Ashley K.-H.; Yip, Lesley P.-W.; Lam, Catherine C.-C.

    2017-01-01

    This study examined (1) whether working memory and higher-level languages skills--inferencing and comprehension monitoring--accounted for individual differences among Chinese children in Chinese reading comprehension, after controlling for age, Chinese word reading and oral language skills, and (2) whether children with specific language…

  3. Higher-level processes in the formation and application of associations during action understanding

    NARCIS (Netherlands)

    Heil, L.; Pelt, S. van; Kwisthout, J.H.P.; Rooij, I.J.E.I. van; Bekkering, H.

    2014-01-01

    The associative account described in the target article provides a viable explanation for the origin of mirror neurons. We argue here that if mirror neurons develop purely by associative learning, then they cannot by themselves explain intentional action understanding. Higher-level processes seem to

  4. Process-oriented guided inquiry learning strategy enhances students' higher level thinking skills in a pharmaceutical sciences course.

    Science.gov (United States)

    Soltis, Robert; Verlinden, Nathan; Kruger, Nicholas; Carroll, Ailey; Trumbo, Tiffany

    2015-02-17

    To determine if the process-oriented guided inquiry learning (POGIL) teaching strategy improves student performance and engages higher-level thinking skills of first-year pharmacy students in an Introduction to Pharmaceutical Sciences course. Overall examination scores and scores on questions categorized as requiring either higher-level or lower-level thinking skills were compared in the same course taught over 3 years using traditional lecture methods vs the POGIL strategy. Student perceptions of the latter teaching strategy were also evaluated. Overall mean examination scores increased significantly when POGIL was implemented. Performance on questions requiring higher-level thinking skills was significantly higher, whereas performance on questions requiring lower-level thinking skills was unchanged when the POGIL strategy was used. Student feedback on use of this teaching strategy was positive. The use of the POGIL strategy increased student overall performance on examinations, improved higher-level thinking skills, and provided an interactive class setting.

  5. BPM-in-the-Large - Towards a higher level of abstraction in Business Process Management

    OpenAIRE

    Houy , Constantin; Fettke , Peter; Loos , Peter; Aalst , Wil M. P.; Krogstie , John

    2010-01-01

    International audience; Business Process Management (BPM) has gained tremendous importance in recent years and BPM technologies and techniques are widely applied in practice. Furthermore there is a growing and very active research community looking at process modeling and analysis, reference models, workflow flexibility, process mining and process-centric Service-Oriented Architectures (SOA). However, it is clear that existing approaches have problems dealing with the enormous challenges real...

  6. Higher levels of depression are associated with reduced global bias in visual processing.

    Science.gov (United States)

    de Fockert, Jan W; Cooper, Andrew

    2014-04-01

    Negative moods have been associated with a tendency to prioritise local details in visual processing. The current study investigated the relation between depression and visual processing using the Navon task, a standard task of local and global processing. In the Navon task, global stimuli are presented that are made up of many local parts, and the participants are instructed to report the identity of either a global or a local target shape. Participants with a low self-reported level of depression showed evidence of the expected global processing bias, and were significantly faster at responding to the global, compared with the local level. By contrast, no such difference was observed in participants with high levels of depression. The reduction of the global bias associated with high levels of depression was only observed in the overall speed of responses to global (versus local) targets, and not in the level of interference produced by the global (versus local) distractors. These results are in line with recent findings of a dissociation between local/global processing bias and interference from local/global distractors, and support the claim that depression is associated with a reduction in the tendency to prioritise global-level processing.

  7. Higher-level Innovization

    DEFF Research Database (Denmark)

    Bandaru, Sunith; Tutum, Cem Celal; Deb, Kalyanmoy

    2011-01-01

    we introduce the higher-level innovization task through an application of a manufacturing process simulation for the Friction Stir Welding (FSW) process where commonalities among two different Pareto-optimal fronts are analyzed. Multiple design rules are simultaneously deciphered from each front...

  8. Process-Oriented Guided Inquiry Learning Strategy Enhances Students’ Higher Level Thinking Skills in a Pharmaceutical Sciences Course

    Science.gov (United States)

    Verlinden, Nathan; Kruger, Nicholas; Carroll, Ailey; Trumbo, Tiffany

    2015-01-01

    Objective. To determine if the process-oriented guided inquiry learning (POGIL) teaching strategy improves student performance and engages higher-level thinking skills of first-year pharmacy students in an Introduction to Pharmaceutical Sciences course. Design. Overall examination scores and scores on questions categorized as requiring either higher-level or lower-level thinking skills were compared in the same course taught over 3 years using traditional lecture methods vs the POGIL strategy. Student perceptions of the latter teaching strategy were also evaluated. Assessment. Overall mean examination scores increased significantly when POGIL was implemented. Performance on questions requiring higher-level thinking skills was significantly higher, whereas performance on questions requiring lower-level thinking skills was unchanged when the POGIL strategy was used. Student feedback on use of this teaching strategy was positive. Conclusion. The use of the POGIL strategy increased student overall performance on examinations, improved higher-level thinking skills, and provided an interactive class setting. PMID:25741027

  9. Understanding the Relative Contributions of Lower-Level Word Processes, Higher-Level Processes, and Working Memory to Reading Comprehension Performance in Proficient Adult Readers

    Science.gov (United States)

    Hannon, Brenda

    2012-01-01

    Although a considerable amount of evidence has been amassed regarding the contributions of lower-level word processes, higher-level processes, and working memory to reading comprehension, little is known about the relationships among these sources of individual differences or their relative contributions to reading comprehension performance. This…

  10. Processing different degrees of logo change When higher levels of brand consciousness decrease openness to substantial logo changes

    NARCIS (Netherlands)

    van Grinsven, B.; Das, E.

    2015-01-01

    Purpose – This paper aims to develop an experimental paradigm to assess effects of degrees of logo change on logo processing speed to provide rigid tests of the effects of objectified degrees of logo changes and to understand how degrees of logo change interact with consumer and market conditions.

  11. Model Process Control Language

    Data.gov (United States)

    National Aeronautics and Space Administration — The MPC (Model Process Control) language enables the capture, communication and preservation of a simulation instance, with sufficient detail that it can be...

  12. Linearity in Process Languages

    DEFF Research Database (Denmark)

    Nygaard, Mikkel; Winskel, Glynn

    2002-01-01

    The meaning and mathematical consequences of linearity (managing without a presumed ability to copy) are studied for a path-based model of processes which is also a model of affine-linear logic. This connection yields an affine-linear language for processes, automatically respecting open......-map bisimulation, in which a range of process operations can be expressed. An operational semantics is provided for the tensor fragment of the language. Different ways to make assemblies of processes lead to different choices of exponential, some of which respect bisimulation....

  13. Language and culture modulate online semantic processing.

    Science.gov (United States)

    Ellis, Ceri; Kuipers, Jan R; Thierry, Guillaume; Lovett, Victoria; Turnbull, Oliver; Jones, Manon W

    2015-10-01

    Language has been shown to influence non-linguistic cognitive operations such as colour perception, object categorization and motion event perception. Here, we show that language also modulates higher level processing, such as semantic knowledge. Using event-related brain potentials, we show that highly fluent Welsh-English bilinguals require significantly less processing effort when reading sentences in Welsh which contain factually correct information about Wales, than when reading sentences containing the same information presented in English. Crucially, culturally irrelevant information was processed similarly in both Welsh and English. Our findings show that even in highly proficient bilinguals, language interacts with factors associated with personal identity, such as culture, to modulate online semantic processing. © The Author (2015). Published by Oxford University Press.

  14. Symbolic Natural Language Processing

    OpenAIRE

    Laporte , Eric

    2005-01-01

    The connection between language processing and combinatorics on words is natural. Historically, linguists actually played a part in the beginning of the construction of theoretical combinatorics on words. Some of the terms in current use originate from linguistics: word, prefix, suffix, grammar, syntactic monoid... However, interpenetration between the formal world of computer theory and the intuitive world of linguistics is still a love story with ups and downs. We will encounter in this cha...

  15. Advances in natural language processing.

    Science.gov (United States)

    Hirschberg, Julia; Manning, Christopher D

    2015-07-17

    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.

  16. Handbook of Natural Language Processing

    CERN Document Server

    Indurkhya, Nitin

    2010-01-01

    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

  17. Natural language processing with Java

    CERN Document Server

    Reese, Richard M

    2015-01-01

    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.

  18. Supplementary effects of higher levels of various disaccharides on processing yield, quality properties and sensory attributes of Chinese - style pork jerky.

    Science.gov (United States)

    Chen, Chih-Ming; Lin, Hsien-Tang

    2017-12-01

    This study evaluated the supplementary effect of higher concentrations of various disaccharides on processing yield, major physicochemical properties, and sensory attributes of Chinese-style pork jerky (CSPJ). CSPJ samples were prepared by marinating sliced ham (4 mm) with three dissaccharides, including sucrose, lactose, and maltose, at 0%, 15%, 18%, 21%, and 24%. Subsequently, the CSPJ samples were dried and roasted. The moisture content, water activity, crude protein, moisture-to-protein ratio, pH, processing yield, shear force, color, and sensory attributes of the CSPJ samples were evaluated. The quality characteristics of CSPJ samples prepared with sucrose were more acceptable. By contrast, CSPJ samples prepared with lactose showed the lowest scores. However, the processing yield and moisture content were the highest for CSPJ samples prepared with lactose, which may be associated with improved benefits for cost reduction. Furthermore, sucrose and lactose supplementation resulted in contrasting quality characteristics; for example, CSPJ samples with sucrose and maltose supplementation had higher sensory scores for color than samples with lactose supplementation. Additionally, most quality characteristics of CSPJ samples with sucrose supplementation contrasted with those of the samples with lactose supplementation; for example, the samples with sucrose supplementation had higher scores for sensory attributes than those with lactose supplementation. Sucrose supplementation up to 21% to 24% was associated with the highest overall acceptability scores (5.19 to 5.80), enhanced quality characteristics, increased processing yield, and reduced production cost.

  19. Supplementary effects of higher levels of various disaccharides on processing yield, quality properties and sensory attributes of Chinese - style pork jerky

    Directory of Open Access Journals (Sweden)

    Chih-Ming Chen

    2017-12-01

    Full Text Available Objective This study evaluated the supplementary effect of higher concentrations of various disaccharides on processing yield, major physicochemical properties, and sensory attributes of Chinese-style pork jerky (CSPJ. Methods CSPJ samples were prepared by marinating sliced ham (4 mm with three dissaccharides, including sucrose, lactose, and maltose, at 0%, 15%, 18%, 21%, and 24%. Subsequently, the CSPJ samples were dried and roasted. The moisture content, water activity, crude protein, moisture-to-protein ratio, pH, processing yield, shear force, color, and sensory attributes of the CSPJ samples were evaluated. Results The quality characteristics of CSPJ samples prepared with sucrose were more acceptable. By contrast, CSPJ samples prepared with lactose showed the lowest scores. However, the processing yield and moisture content were the highest for CSPJ samples prepared with lactose, which may be associated with improved benefits for cost reduction. Furthermore, sucrose and lactose supplementation resulted in contrasting quality characteristics; for example, CSPJ samples with sucrose and maltose supplementation had higher sensory scores for color than samples with lactose supplementation. Additionally, most quality characteristics of CSPJ samples with sucrose supplementation contrasted with those of the samples with lactose supplementation; for example, the samples with sucrose supplementation had higher scores for sensory attributes than those with lactose supplementation. Conclusion Sucrose supplementation up to 21% to 24% was associated with the highest overall acceptability scores (5.19 to 5.80, enhanced quality characteristics, increased processing yield, and reduced production cost.

  20. Graphical Language for Data Processing

    Science.gov (United States)

    Alphonso, Keith

    2011-01-01

    A graphical language for processing data allows processing elements to be connected with virtual wires that represent data flows between processing modules. The processing of complex data, such as lidar data, requires many different algorithms to be applied. The purpose of this innovation is to automate the processing of complex data, such as LIDAR, without the need for complex scripting and programming languages. The system consists of a set of user-interface components that allow the user to drag and drop various algorithmic and processing components onto a process graph. By working graphically, the user can completely visualize the process flow and create complex diagrams. This innovation supports the nesting of graphs, such that a graph can be included in another graph as a single step for processing. In addition to the user interface components, the system includes a set of .NET classes that represent the graph internally. These classes provide the internal system representation of the graphical user interface. The system includes a graph execution component that reads the internal representation of the graph (as described above) and executes that graph. The execution of the graph follows the interpreted model of execution in that each node is traversed and executed from the original internal representation. In addition, there are components that allow external code elements, such as algorithms, to be easily integrated into the system, thus making the system infinitely expandable.

  1. Dependency Grammar in Lithuanian Language Processing

    OpenAIRE

    Grigonytė, Gintarė

    2006-01-01

    Lithuanian language is quite in an early stage of language processing. And therefore has a high demand on automated tools like taggers, parsers, word sense disambiguators etc. During the last 10 years only a few researchers were attempting to create a parser for Lithuanian language. However none of them are used in practices nowadays. The process of designing and implementing rule based parser for Lithuanian language is presented in this paper. Rules and constraints of the formal grammar foll...

  2. Natural language processing: an introduction.

    Science.gov (United States)

    Nadkarni, Prakash M; Ohno-Machado, Lucila; Chapman, Wendy W

    2011-01-01

    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.

  3. Natural language processing techniques for automatic test ...

    African Journals Online (AJOL)

    Natural language processing techniques for automatic test questions generation using discourse connectives. ... PROMOTING ACCESS TO AFRICAN RESEARCH. AFRICAN JOURNALS ... Journal of Computer Science and Its Application.

  4. Knowledge representation and natural language processing

    Energy Technology Data Exchange (ETDEWEB)

    Weischedel, R.M.

    1986-07-01

    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.

  5. A language for information commerce processes

    NARCIS (Netherlands)

    Aberer, Karl; Wombacher, Andreas

    Automatizing information commerce requires languages to represent the typical information commerce processes. Existing languages and standards cover either only very specific types of business models or are too general to capture in a concise way the specific properties of information commerce

  6. The Case for Interactionism in Language Processing.

    Science.gov (United States)

    1987-04-28

    D-AIBB 133 THE CASE FOR INTERACTIONISM IN LANGUAGE PROCESSING(U) 1/1 CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF PSYCHOLOGY J L MCCLELLAND, 28 APR 87...Interaction in Language Processing The Case for Interactionism in Language Processing James L. McClelland Department of Psychology Carnegie-Mellon...REPORT NUMBER(S) 5 MONITORING ORGANIZATION REPORT NUMBER(S) Technical Report 0NR-87-1 6a NAME OF PERFORMING ORGANIZATION 6b OFFICE SYMBOL 7a. NAME OF

  7. Neural Language Processing in Adolescent First-Language Learners: Longitudinal Case Studies in American Sign Language.

    Science.gov (United States)

    Ferjan Ramirez, Naja; Leonard, Matthew K; Davenport, Tristan S; Torres, Christina; Halgren, Eric; Mayberry, Rachel I

    2016-03-01

    One key question in neurolinguistics is the extent to which the neural processing system for language requires linguistic experience during early life to develop fully. We conducted a longitudinal anatomically constrained magnetoencephalography (aMEG) analysis of lexico-semantic processing in 2 deaf adolescents who had no sustained language input until 14 years of age, when they became fully immersed in American Sign Language. After 2 to 3 years of language, the adolescents' neural responses to signed words were highly atypical, localizing mainly to right dorsal frontoparietal regions and often responding more strongly to semantically primed words (Ferjan Ramirez N, Leonard MK, Torres C, Hatrak M, Halgren E, Mayberry RI. 2014. Neural language processing in adolescent first-language learners. Cereb Cortex. 24 (10): 2772-2783). Here, we show that after an additional 15 months of language experience, the adolescents' neural responses remained atypical in terms of polarity. While their responses to less familiar signed words still showed atypical localization patterns, the localization of responses to highly familiar signed words became more concentrated in the left perisylvian language network. Our findings suggest that the timing of language experience affects the organization of neural language processing; however, even in adolescence, language representation in the human brain continues to evolve with experience. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  8. Language loss and language processing : three generations of Dutch migrants in New Zealand

    NARCIS (Netherlands)

    Hulsen, Madeleine Elisabeth Helena

    2000-01-01

    This dissertation investigates the relationship between language shift, language loss, and language processing. Three generations of Dutch immigrants to New Zealand were tested to investigate intra- and intergenerational patterns of language use, social networks, perceived ethnolinguistic vitality,

  9. Functional graphical languages for process control

    International Nuclear Information System (INIS)

    1996-01-01

    A wide variety of safety systems are in use today in the process industries. Most of these systems rely on control software using procedural programming languages. This study investigates the use of functional graphical languages for controls in the process industry. Different vendor proprietary software and languages are investigated and evaluation criteria are outlined based on ability to meet regulatory requirements, reference sites involving applications with similar safety concerns, QA/QC procedures, community of users, type and user-friendliness of the man-machine interface, performance of operational code, and degree of flexibility. (author) 16 refs., 4 tabs

  10. Arabic Natural Language Processing System Code Library

    Science.gov (United States)

    2014-06-01

    Adelphi, MD 20783-1197 This technical note provides a brief description of a Java library for Arabic natural language processing ( NLP ) containing code...for training and applying the Arabic NLP system described in the paper "A Cross-Task Flexible Transition Model for Arabic Tokenization, Affix...and also English) natural language processing ( NLP ), containing code for training and applying the Arabic NLP system described in Stephen Tratz’s

  11. Individual Differences in Language Acquisition and Processing.

    Science.gov (United States)

    Kidd, Evan; Donnelly, Seamus; Christiansen, Morten H

    2018-02-01

    Humans differ in innumerable ways, with considerable variation observable at every level of description, from the molecular to the social. Traditionally, linguistic and psycholinguistic theory has downplayed the possibility of meaningful differences in language across individuals. However, it is becoming increasingly evident that there is significant variation among speakers at any age as well as across the lifespan. Here, we review recent research in psycholinguistics, and argue that a focus on individual differences (IDs) provides a crucial source of evidence that bears strongly upon core issues in theories of the acquisition and processing of language; specifically, the role of experience in language acquisition, processing, and attainment, and the architecture of the language system. Copyright © 2017 Elsevier Ltd. All rights reserved.

  12. Auditory Processing Disorder and Foreign Language Acquisition

    Science.gov (United States)

    Veselovska, Ganna

    2015-01-01

    This article aims at exploring various strategies for coping with the auditory processing disorder in the light of foreign language acquisition. The techniques relevant to dealing with the auditory processing disorder can be attributed to environmental and compensatory approaches. The environmental one involves actions directed at creating a…

  13. Flow Sheet Is Process Language.

    Science.gov (United States)

    Fehr, Manfred

    1988-01-01

    Uses heat exchange, evaporator, and distillation pressure examples to illustrate ways of motivating students to participate creatively and generate questions on process engineering logic. Relates the need for providing a link between theory and industrial practice. (RT)

  14. Multilingual Speech and Language Processing

    Science.gov (United States)

    2003-04-01

    client software handles the user end of the transaction. Historically, four clients were provided: e-mail, web, FrameMaker , and command line. By...command-line client and an API. The API allows integration of CyberTrans into a number of processes including word processing packages ( FrameMaker ...preservation and logging, and others. The available clients remain e-mail, Web and FrameMaker . Platforms include both Unix and PC for clients, with

  15. Second language processing : when are first and second languages processed similarly?

    NARCIS (Netherlands)

    Sabourin, Laura; Stowe, Laurie A.

    In this article we investigate the effects of first language (L1) on second language (L2) neural processing for two grammatical constructions (verbal domain dependency and grammatical gender), focusing on the event-related potential P600 effect, which has been found in both L1 and L2 processing.

  16. Natural language processing tools for computer assisted language learning

    Directory of Open Access Journals (Sweden)

    Vandeventer Faltin, Anne

    2003-01-01

    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.

  17. Aligning Grammatical Theories and Language Processing Models

    Science.gov (United States)

    Lewis, Shevaun; Phillips, Colin

    2015-01-01

    We address two important questions about the relationship between theoretical linguistics and psycholinguistics. First, do grammatical theories and language processing models describe separate cognitive systems, or are they accounts of different aspects of the same system? We argue that most evidence is consistent with the one-system view. Second,…

  18. Logic-programming language enriches design processes

    Energy Technology Data Exchange (ETDEWEB)

    Kitson, B.; Ow-Wing, K.

    1984-03-22

    With the emergence of a set of high-level CAD tools for programmable logic devices, designers can translate logic into functional custom devices simply and efficiently. The core of the package is a blockstructured hardware description language called PLPL, for ''programmable-logic programming language.'' The cheif advantage of PLPL lies in its multiple input formats, which permit different design approaches for a variety of design problems. The higher the level of the approach, the closer PLPL will come to directly specifying the desired function. Intermediate steps in the design process can be eliminated, along with the errors that might have been generated during those steps.

  19. Sentence processing: linking language to motor chains

    Directory of Open Access Journals (Sweden)

    Fabian Chersi

    2010-05-01

    Full Text Available A growing body of evidence in cognitive science and neuroscience is pointing towards the existence of a deep interconnection between cognition, perception and action. According to this embodied perspective language understanding is based on a mental simulation process involving a sensory-motor matching system known as the mirror neuron system. However, the precise dynamics underling the relation between language and action are not yet well understood. In fact, experimental studies are not always coherent as some report that language processing interferes with action execution while others find facilitation. In this work we present a detailed neural network model capable of reproducing experimentally observed influences of the processing of action-related sentences on the execution of motor sequences. The proposed model is based on three main points. The first is that the processing of action-related sentences causes the resonance of motor and mirror neurons encoding the corresponding actions. The second is that there exists a varying degree of crosstalk between neuronal populations depending on whether they encode the same motor act, the same effector or the same action-goal. The third is the fact that neuronal populations’ internal dynamics, which results from the combination of multiple processes taking place at different time scales, can facilitate or interfere with successive activations of the same or of partially overlapping pools.

  20. Input Processing at First Exposure to a Sign Language

    Science.gov (United States)

    Ortega, Gerardo; Morgan, Gary

    2015-01-01

    There is growing interest in learners' cognitive capacities to process a second language (L2) at first exposure to the target language. Evidence suggests that L2 learners are capable of processing novel words by exploiting phonological information from their first language (L1). Hearing adult learners of a sign language, however, cannot fall back…

  1. Comparative analysis of business rules and business process modeling languages

    Directory of Open Access Journals (Sweden)

    Audrius Rima

    2013-03-01

    Full Text Available During developing an information system is important to create clear models and choose suitable modeling languages. The article analyzes the SRML, SBVR, PRR, SWRL, OCL rules specifying language and UML, DFD, CPN, EPC and IDEF3 BPMN business process modeling language. The article presents business rules and business process modeling languages theoretical comparison. The article according to selected modeling aspects of the comparison between different business process modeling languages ​​and business rules representation languages sets. Also, it is selected the best fit of language set for three layer framework for business rule based software modeling.

  2. Implicit Schemata and Categories in Memory-Based Language Processing

    Science.gov (United States)

    van den Bosch, Antal; Daelemans, Walter

    2013-01-01

    Memory-based language processing (MBLP) is an approach to language processing based on exemplar storage during learning and analogical reasoning during processing. From a cognitive perspective, the approach is attractive as a model for human language processing because it does not make any assumptions about the way abstractions are shaped, nor any…

  3. Processes and variations in language economisation

    Directory of Open Access Journals (Sweden)

    Jonathan R. White

    2015-01-01

    Full Text Available This article analyses the processes of reducing language in textchats produced by non-native speakers of English. We propose that forms are reduced because of their high frequency and because of the discourse context. A wide variety of processes are attested in the literature, and we find different forms of clippings in our data, including mixtures of different clippings, homophone respellings, phonetic respellings including informal oral forms, initialisms (but no acronyms, and mixtures of clipping together with homophone and phonetic respellings. Clippings were the most frequent process (especially back-clippings and initialisms, followed by homophone respellings. There were different ways of metalinguistically marking reduction, but capitalisation was by far the most frequent. There is much individual variation in the frequencies of the different processes, although most were within normal distribution. The fact that non-native speakers seem to generally follow reduction patterns of native speakers suggests that reduction is a universal process.

  4. The social impact of natural language processing

    DEFF Research Database (Denmark)

    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...

  5. Input processing at first exposure to a sign language

    NARCIS (Netherlands)

    Ortega, G.; Morgan, G.

    2015-01-01

    There is growing interest in learners' cognitive capacities to process a second language (L2) at first exposure to the target language. Evidence suggests that L2 learners are capable of processing novel words by exploiting phonological information from their first language (L1). Hearing adult

  6. Parallel transaction processing in functional languages, towards practical functional databases

    NARCIS (Netherlands)

    Wevers, L.; Huisman, Marieke; de Keijzer, Ander

    2013-01-01

    This paper shows how functional languages can be adapted for transaction processing, and discusses the implementation of a parallel runtime system for such functional transaction processing languages. We extend functional languages with current state variables and result state variables to allow the

  7. Rain: A New Concurrent Process-Oriented Programming Language

    OpenAIRE

    Brown, Neil C.C.

    2006-01-01

    This paper details the design of a new concurrent process-oriented programming language, Rain. The language borrows heavily from occam-p and C++ to create a new language based on process-oriented programming, marrying channel-based communication, a clear division between statement and expression, and elements of functional programming. An expressive yet simple type system, coupled with templates, underpins the language. Modern features such as Unicode support and 64-bit integers are included ...

  8. Natural language processing and advanced information management

    Science.gov (United States)

    Hoard, James E.

    1989-01-01

    Integrating diverse information sources and application software in a principled and general manner will require a very capable advanced information management (AIM) system. In particular, such a system will need a comprehensive addressing scheme to locate the material in its docuverse. It will also need a natural language processing (NLP) system of great sophistication. It seems that the NLP system must serve three functions. First, it provides an natural language interface (NLI) for the users. Second, it serves as the core component that understands and makes use of the real-world interpretations (RWIs) contained in the docuverse. Third, it enables the reasoning specialists (RSs) to arrive at conclusions that can be transformed into procedures that will satisfy the users' requests. The best candidate for an intelligent agent that can satisfactorily make use of RSs and transform documents (TDs) appears to be an object oriented data base (OODB). OODBs have, apparently, an inherent capacity to use the large numbers of RSs and TDs that will be required by an AIM system and an inherent capacity to use them in an effective way.

  9. Functional MRI of Language Processing and Recovery

    NARCIS (Netherlands)

    C. Méndez Orellana (Carolina)

    2015-01-01

    markdownabstract__Abstract__ My thesis describe the utility of implementing fMRI to investigate how the language system is reorganized in brain damaged patients. Specifically for aphasia research fMRI allows to show how specific language treatment methods have the potential to enhance language

  10. OBJECTIVES AND PROCESSES OF SECOND LANGUAGE LEARNING.

    Science.gov (United States)

    SIZEMORE, MAMIE

    THE OBJECTIVES OF SECOND LANGUAGE TEACHING, AND SPECIFIC DIRECTIONS FOR PRESENTING AND DRILLING STRUCTURES BY THE USE OF CERTAIN GESTURES, WERE PRESENTED. RECOMMENDATIONS FOR CONCENTRATING EFFORTS ON THE ESSENTIALS OF LANGUAGE LEARNING REVOLVED AROUND AN EMPHASIS ON THE TEACHING OF THE LANGUAGE ITSELF RATHER THAN ABOUT ITS HISTORY, VOCABULARY,…

  11. A syntactic component for Vietnamese language processing

    Directory of Open Access Journals (Sweden)

    Phuong Le-Hong

    2015-06-01

    Full Text Available This paper presents the development of a syntactic component for the Vietnamese language. We first discuss the construction of a lexicalized tree-adjoining grammar using an automatic extraction approach. We then present the construction and evaluation of a deep syntactic parser based on the extracted grammar. This is a complete system integrating necessary tools to process Vietnamese text, which permits to take as input raw texts and produce syntactic structures. A dependency annotation scheme for Vietnamese and an algorithm for extracting dependency structures from derivation trees are also proposed. At present, this is the first Vietnamese parsing system capable of producing both constituency and dependency analyses with encouraging performances: 69.33% and 73.21% for constituency and dependency analysis accuracy, respectively. The parser also compares favourably to a statistical parser which is trained and tested on the same data sets.

  12. Learning algorithms and automatic processing of languages

    International Nuclear Information System (INIS)

    Fluhr, Christian Yves Andre

    1977-01-01

    This research thesis concerns the field of artificial intelligence. It addresses learning algorithms applied to automatic processing of languages. The author first briefly describes some mechanisms of human intelligence in order to describe how these mechanisms are simulated on a computer. He outlines the specific role of learning in various manifestations of intelligence. Then, based on the Markov's algorithm theory, the author discusses the notion of learning algorithm. Two main types of learning algorithms are then addressed: firstly, an 'algorithm-teacher dialogue' type sanction-based algorithm which aims at learning how to solve grammatical ambiguities in submitted texts; secondly, an algorithm related to a document system which structures semantic data automatically obtained from a set of texts in order to be able to understand by references to any question on the content of these texts

  13. The social impact of natural language processing

    DEFF Research Database (Denmark)

    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....

  14. Quantum Algorithms for Compositional Natural Language Processing

    Directory of Open Access Journals (Sweden)

    William Zeng

    2016-08-01

    Full Text Available We propose a new application of quantum computing to the field of natural language processing. Ongoing work in this field attempts to incorporate grammatical structure into algorithms that compute meaning. In (Coecke, Sadrzadeh and Clark, 2010, the authors introduce such a model (the CSC model based on tensor product composition. While this algorithm has many advantages, its implementation is hampered by the large classical computational resources that it requires. In this work we show how computational shortcomings of the CSC approach could be resolved using quantum computation (possibly in addition to existing techniques for dimension reduction. We address the value of quantum RAM (Giovannetti,2008 for this model and extend an algorithm from Wiebe, Braun and Lloyd (2012 into a quantum algorithm to categorize sentences in CSC. Our new algorithm demonstrates a quadratic speedup over classical methods under certain conditions.

  15. The Impacts of Language Background and Language-Related Disorders in Auditory Processing Assessment

    Science.gov (United States)

    Loo, Jenny Hooi Yin; Bamiou, Doris-Eva; Rosen, Stuart

    2013-01-01

    Purpose: To examine the impact of language background and language-related disorders (LRDs--dyslexia and/or language impairment) on performance in English speech and nonspeech tests of auditory processing (AP) commonly used in the clinic. Method: A clinical database concerning 133 multilingual children (mostly with English as an additional…

  16. Visual Acuity does not Moderate Effect Sizes of Higher-Level Cognitive Tasks

    Science.gov (United States)

    Houston, James R.; Bennett, Ilana J.; Allen, Philip A.; Madden, David J.

    2016-01-01

    Background Declining visual capacities in older adults have been posited as a driving force behind adult age differences in higher-order cognitive functions (e.g., the “common cause” hypothesis of Lindenberger & Baltes, 1994). McGowan, Patterson and Jordan (2013) also found that a surprisingly large number of published cognitive aging studies failed to include adequate measures of visual acuity. However, a recent meta-analysis of three studies (LaFleur & Salthouse, 2014) failed to find evidence that visual acuity moderated or mediated age differences in higher-level cognitive processes. In order to provide a more extensive test of whether visual acuity moderates age differences in higher-level cognitive processes, we conducted a more extensive meta-analysis of topic. Methods Using results from 456 studies, we calculated effect sizes for the main effect of age across four cognitive domains (attention, executive function, memory, and perception/language) separately for five levels of visual acuity criteria (no criteria, undisclosed criteria, self-reported acuity, 20/80-20/31, and 20/30 or better). Results As expected, age had a significant effect on each cognitive domain. However, these age effects did not further differ as a function of visual acuity criteria. Conclusion The current meta-analytic, cross-sectional results suggest that visual acuity is not significantly related to age group differences in higher-level cognitive performance—thereby replicating LaFleur and Salthouse (2014). Further efforts are needed to determine whether other measures of visual functioning (e.g. contrast sensitivity, luminance) affect age differences in cognitive functioning. PMID:27070044

  17. An Overview of Computer-Based Natural Language Processing.

    Science.gov (United States)

    Gevarter, William B.

    Computer-based Natural Language Processing (NLP) is the key to enabling humans and their computer-based creations to interact with machines using natural languages (English, Japanese, German, etc.) rather than formal computer languages. NLP is a major research area in the fields of artificial intelligence and computational linguistics. Commercial…

  18. Capturing and Modeling Domain Knowledge Using Natural Language Processing Techniques

    National Research Council Canada - National Science Library

    Auger, Alain

    2005-01-01

    .... 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...

  19. Production Logistics Simulation Supported by Process Description Languages

    Directory of Open Access Journals (Sweden)

    Bohács Gábor

    2016-03-01

    Full Text Available The process description languages are used in the business may be useful in the optimization of logistics processes too. The process description languages would be the obvious solution for process control, to handle the main sources of faults and to give a correct list of what to do during the logistics process. Related to this, firstly, the paper presents the main features of the frequent process description languages. The following section describes the currently most used process modelling languages, in the areas of production and construction logistics. In addition, the paper gives some examples of logistics simulation, as another very important field of logistics system modelling. The main edification of the paper, the logistics simulation supported by process description languages. The paper gives a comparison of a Petri net formal representation and a Simul8 model, through a construction logistics model, as the major contribution of the research.

  20. Handbook of natural language processing and machine translation DARPA global autonomous language exploitation

    CERN Document Server

    Olive, Joseph P; McCary, John

    2011-01-01

    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

  1. Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language

    Science.gov (United States)

    Narayanan, Shrikanth; Georgiou, Panayiotis G.

    2013-01-01

    The expression and experience of human behavior are complex and multimodal and characterized by individual and contextual heterogeneity and variability. Speech and spoken language communication cues offer an important means for measuring and modeling human behavior. Observational research and practice across a variety of domains from commerce to healthcare rely on speech- and language-based informatics for crucial assessment and diagnostic information and for planning and tracking response to an intervention. In this paper, we describe some of the opportunities as well as emerging methodologies and applications of human behavioral signal processing (BSP) technology and algorithms for quantitatively understanding and modeling typical, atypical, and distressed human behavior with a specific focus on speech- and language-based communicative, affective, and social behavior. We describe the three important BSP components of acquiring behavioral data in an ecologically valid manner across laboratory to real-world settings, extracting and analyzing behavioral cues from measured data, and developing models offering predictive and decision-making support. We highlight both the foundational speech and language processing building blocks as well as the novel processing and modeling opportunities. Using examples drawn from specific real-world applications ranging from literacy assessment and autism diagnostics to psychotherapy for addiction and marital well being, we illustrate behavioral informatics applications of these signal processing techniques that contribute to quantifying higher level, often subjectively described, human behavior in a domain-sensitive fashion. PMID:24039277

  2. Toward cognitively constrained models of language processing : A review

    NARCIS (Netherlands)

    Vogelzang, Margreet; Mills, Anne C.; Reitter, David; van Rij, Jacolien; Hendriks, Petra; van Rijn, Hedderik

    2017-01-01

    Language processing is not an isolated capacity, but is embedded in other aspects of our cognition. However, it is still largely unexplored to what extent and how language processing interacts with general cognitive resources. This question can be investigated with cognitively constrained

  3. The Influence of Process Drama on Elementary Students' Written Language

    Science.gov (United States)

    Anderson, Alida

    2012-01-01

    This article describes the influence of process drama on fourth grade students' written language productivity and specificity. Participants included 16 students with learning and/or behavioral challenges at an urban public charter school. The influence of process drama on students' written language was compared across contextualized and…

  4. Speakers of different languages process the visual world differently.

    Science.gov (United States)

    Chabal, Sarah; Marian, Viorica

    2015-06-01

    Language and vision are highly interactive. Here we show that people activate language when they perceive the visual world, and that this language information impacts how speakers of different languages focus their attention. For example, when searching for an item (e.g., clock) in the same visual display, English and Spanish speakers look at different objects. Whereas English speakers searching for the clock also look at a cloud, Spanish speakers searching for the clock also look at a gift, because the Spanish names for gift (regalo) and clock (reloj) overlap phonologically. These different looking patterns emerge despite an absence of direct language input, showing that linguistic information is automatically activated by visual scene processing. We conclude that the varying linguistic information available to speakers of different languages affects visual perception, leading to differences in how the visual world is processed. (c) 2015 APA, all rights reserved).

  5. Inter-functional influence of culture and language during the process of foreign language teaching of teenagers

    Directory of Open Access Journals (Sweden)

    Ergeshali kyzy A.

    2017-01-01

    Full Text Available this article describes some theoretical tasks of multicultural education of teenagers in foreign language teaching. The work also has analyzed inter-functional influence of the language and culture in the process of foreign language teaching.

  6. Clinical Natural Language Processing in languages other than English: opportunities and challenges.

    Science.gov (United States)

    Névéol, Aurélie; Dalianis, Hercules; Velupillai, Sumithra; Savova, Guergana; Zweigenbaum, Pierre

    2018-03-30

    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.

  7. Semantic structures advances in natural language processing

    CERN Document Server

    Waltz, David L

    2014-01-01

    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?

  8. Toward Cognitively Constrained Models of Language Processing: A Review

    Directory of Open Access Journals (Sweden)

    Margreet Vogelzang

    2017-09-01

    Full Text Available Language processing is not an isolated capacity, but is embedded in other aspects of our cognition. However, it is still largely unexplored to what extent and how language processing interacts with general cognitive resources. This question can be investigated with cognitively constrained computational models, which simulate the cognitive processes involved in language processing. The theoretical claims implemented in cognitive models interact with general architectural constraints such as memory limitations. This way, it generates new predictions that can be tested in experiments, thus generating new data that can give rise to new theoretical insights. This theory-model-experiment cycle is a promising method for investigating aspects of language processing that are difficult to investigate with more traditional experimental techniques. This review specifically examines the language processing models of Lewis and Vasishth (2005, Reitter et al. (2011, and Van Rij et al. (2010, all implemented in the cognitive architecture Adaptive Control of Thought—Rational (Anderson et al., 2004. These models are all limited by the assumptions about cognitive capacities provided by the cognitive architecture, but use different linguistic approaches. Because of this, their comparison provides insight into the extent to which assumptions about general cognitive resources influence concretely implemented models of linguistic competence. For example, the sheer speed and accuracy of human language processing is a current challenge in the field of cognitive modeling, as it does not seem to adhere to the same memory and processing capacities that have been found in other cognitive processes. Architecture-based cognitive models of language processing may be able to make explicit which language-specific resources are needed to acquire and process natural language. The review sheds light on cognitively constrained models of language processing from two angles: we

  9. Statistical Language Models and Information Retrieval: Natural Language Processing Really Meets Retrieval

    NARCIS (Netherlands)

    Hiemstra, Djoerd; de Jong, Franciska M.G.

    2001-01-01

    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.

  10. The Arabic Natural Language Processing: Introduction and Challenges

    Directory of Open Access Journals (Sweden)

    Boukhatem Nadera

    2014-09-01

    Full Text Available Arabic is a Semitic language spoken by more than 330 million people as a native language, in an area extending from the Arabian/Persian Gulf in the East to the Atlantic Ocean in the West. Moreover, it is the language in which 1.4 billion Muslims around the world perform their daily prayers. Over the last few years, Arabic natural language processing (ANLP has gained increasing importance, and several state of the art systems have been developed for a wide range of applications.

  11. Comorbidity of Auditory Processing, Language, and Reading Disorders

    Science.gov (United States)

    Sharma, Mridula; Purdy, Suzanne C.; Kelly, Andrea S.

    2009-01-01

    Purpose: The authors assessed comorbidity of auditory processing disorder (APD), language impairment (LI), and reading disorder (RD) in school-age children. Method: Children (N = 68) with suspected APD and nonverbal IQ standard scores of 80 or more were assessed using auditory, language, reading, attention, and memory measures. Auditory processing…

  12. Effects of reading speed on second-language sentence processing

    NARCIS (Netherlands)

    Kaan, Edith; Ballantyne, Jocelyn C.; Wijnen, Frank

    2014-01-01

    To test the effects of reading speed on second-language (L2) sentence processing and the potential influence of conflicting native language word order, we compared advanced L2 learners of English with native English speakers on a self-paced reading task. L2 learners read faster overall than native

  13. Plagiarism Detection for Indonesian Language using Winnowing with Parallel Processing

    Science.gov (United States)

    Arifin, Y.; Isa, S. M.; Wulandhari, L. A.; Abdurachman, E.

    2018-03-01

    The plagiarism has many forms, not only copy paste but include changing passive become active voice, or paraphrasing without appropriate acknowledgment. It happens on all language include Indonesian Language. There are many previous research that related with plagiarism detection in Indonesian Language with different method. But there are still some part that still has opportunity to improve. This research proposed the solution that can improve the plagiarism detection technique that can detect not only copy paste form but more advance than that. The proposed solution is using Winnowing with some addition process in pre-processing stage. With stemming processing in Indonesian Language and generate fingerprint in parallel processing that can saving time processing and produce the plagiarism result on the suspected document.

  14. Processability in Scandinavian second language acquisition

    DEFF Research Database (Denmark)

    Glahn, Esther; Håkansson, Gisela; Hammerberg, Björn

    2001-01-01

    . The three languages mentioned are very closely related and have the same adjective morphology and subordinate clause syntax. We can, therefore, treat them as one language for the purposes of this study. Three analyses have been carried out: The first follows Pienemann's theory and is concerned only...... with syntactic levels; the second is a semantic analysis of the acquisition of number versus that of gender; the third analysis studies the various kinds of mismatches between the inflection of the noun, the controller, and the adjective. The results are the following: The first test supports PT as it has been...... described by Pienemann. The second analysis shows that there is an acquisitional hierarchy such that number is acquired before gender (in adjectives), and the mismatch analysis raises questions about the fundamental assumptions of the theory....

  15. Processing sequence annotation data using the Lua programming language.

    Science.gov (United States)

    Ueno, Yutaka; Arita, Masanori; Kumagai, Toshitaka; Asai, Kiyoshi

    2003-01-01

    The data processing language in a graphical software tool that manages sequence annotation data from genome databases should provide flexible functions for the tasks in molecular biology research. Among currently available languages we adopted the Lua programming language. It fulfills our requirements to perform computational tasks for sequence map layouts, i.e. the handling of data containers, symbolic reference to data, and a simple programming syntax. Upon importing a foreign file, the original data are first decomposed in the Lua language while maintaining the original data schema. The converted data are parsed by the Lua interpreter and the contents are stored in our data warehouse. Then, portions of annotations are selected and arranged into our catalog format to be depicted on the sequence map. Our sequence visualization program was successfully implemented, embedding the Lua language for processing of annotation data and layout script. The program is available at http://staff.aist.go.jp/yutaka.ueno/guppy/.

  16. Processing abstract language modulates motor system activity.

    Science.gov (United States)

    Glenberg, Arthur M; Sato, Marc; Cattaneo, Luigi; Riggio, Lucia; Palumbo, Daniele; Buccino, Giovanni

    2008-06-01

    Embodiment theory proposes that neural systems for perception and action are also engaged during language comprehension. Previous neuroimaging and neurophysiological studies have only been able to demonstrate modulation of action systems during comprehension of concrete language. We provide neurophysiological evidence for modulation of motor system activity during the comprehension of both concrete and abstract language. In Experiment 1, when the described direction of object transfer or information transfer (e.g., away from the reader to another) matched the literal direction of a hand movement used to make a response, speed of responding was faster than when the two directions mismatched (an action-sentence compatibility effect). In Experiment 2, we used single-pulse transcranial magnetic stimulation to study changes in the corticospinal motor pathways to hand muscles while reading the same sentences. Relative to sentences that do not describe transfer, there is greater modulation of activity in the hand muscles when reading sentences describing transfer of both concrete objects and abstract information. These findings are discussed in relation to the human mirror neuron system.

  17. UNLization of Punjabi text for natural language processing ...

    Indian Academy of Sciences (India)

    Vaibhav Agarwal

    2018-05-26

    May 26, 2018 ... resent, and store information in a natural-language-inde- pendent format [8]. UNL is .... account semantic information available in words of the problem ...... Sentiment Analysis (SA) plays a vital role in decision making process.

  18. The Power of Students’ Subjectivity Processes in Foreign Language acquisition

    DEFF Research Database (Denmark)

    Bojsen, Heidi

    2015-01-01

    of the students in reading and communicating in French and German as part of their academic learning process (Bojsen 2012). In this framework we are already on new ground within the established practice of FL teaching and learning in Denmark as this practice has traditionally been confined to language courses...... and degrees and diplomas in particular foreign languages. However in this case, the students are not inscribed as students of foreign languages. Their subjectivity process is thus not that of a student of French or German, but rather of pedagogy, cultural studies, economics, development studies or other...

  19. Natural language processing in psychiatry. Artificial intelligence technology and psychopathology.

    Science.gov (United States)

    Garfield, D A; Rapp, C; Evens, M

    1992-04-01

    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.

  20. The Islamic State Battle Plan: Press Release Natural Language Processing

    Science.gov (United States)

    2016-06-01

    Institute for the Study of Violent Groups NATO North Atlantic Treaty Organization NLP Natural Language Processing PCorpus Permanent Corpus PDF...approaches, we apply Natural Language Processing ( NLP ) tools to a unique database of text documents collected by Whiteside (2014). His collection...from Arabic to English. Compared to other terrorism databases, Whiteside’s collection methodology limits the scope of the database and avoids coding

  1. Natural language processing and the Now-or-Never bottleneck.

    Science.gov (United States)

    Gómez-Rodríguez, Carlos

    2016-01-01

    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.

  2. Figurative language processing in atypical populations: The ASD perspective

    Directory of Open Access Journals (Sweden)

    Mila eVulchanova

    2015-02-01

    Full Text Available This paper is intended to provide a critical overview of experimental and clinical research documenting problems in figurative language processing in atypical populations with a focus on the Autistic Spectrum. Research in the comprehension and processing of figurative language in autism invariably documents problems in this area. The greater paradox is that even at the higher end of the spectrum or in the cases of linguistically talented individuals with Asperger syndrome, where structural language competence is intact, problems with extended language persist. If we assume that figurative and extended uses of language essentially depend on the perception and processing of more concrete core concepts and phenomena, the commonly observed failure in atypical populations to understand figurative language remains a puzzle.Various accounts have been offered to explain this issue, ranging from linking potential failure directly to overall structural language competence (Brock et al., 2008; Norbury, 2005 to right-hemispheric involvement (Gold and Faust, 2010. We argue that the dissociation between structural language and figurative language competence in autism should be sought in more general cognitive mechanisms and traits in the autistic phenotype (e.g., in terms of weak central coherence, Vulchanova et al., 2012b, as well as failure at on-line semantic integration with increased complexity and diversity of the stimuli (Coulson and van Petten, 2002. This perspective is even more compelling in light of similar problems in a number of conditions, including both acquired (e.g., Aphasia and developmental disorders (Williams Syndrome. This dissociation argues against a simple continuity view of language interpretation.

  3. Figurative language processing in atypical populations: the ASD perspective.

    Science.gov (United States)

    Vulchanova, Mila; Saldaña, David; Chahboun, Sobh; Vulchanov, Valentin

    2015-01-01

    This paper is intended to provide a critical overview of experimental and clinical research documenting problems in figurative language processing in atypical populations with a focus on the Autistic Spectrum. Research in the comprehension and processing of figurative language in autism invariably documents problems in this area. The greater paradox is that even at the higher end of the spectrum or in the cases of linguistically talented individuals with Asperger syndrome, where structural language competence is intact, problems with extended language persist. If we assume that figurative and extended uses of language essentially depend on the perception and processing of more concrete core concepts and phenomena, the commonly observed failure in atypical populations to understand figurative language remains a puzzle. Various accounts have been offered to explain this issue, ranging from linking potential failure directly to overall structural language competence (Norbury, 2005; Brock et al., 2008) to right-hemispheric involvement (Gold and Faust, 2010). We argue that the dissociation between structural language and figurative language competence in autism should be sought in more general cognitive mechanisms and traits in the autistic phenotype (e.g., in terms of weak central coherence, Vulchanova et al., 2012b), as well as failure at on-line semantic integration with increased complexity and diversity of the stimuli (Coulson and Van Petten, 2002). This perspective is even more compelling in light of similar problems in a number of conditions, including both acquired (e.g., Aphasia) and developmental disorders (Williams Syndrome). This dissociation argues against a simple continuity view of language interpretation.

  4. Figurative language processing in atypical populations: the ASD perspective

    Science.gov (United States)

    Vulchanova, Mila; Saldaña, David; Chahboun, Sobh; Vulchanov, Valentin

    2015-01-01

    This paper is intended to provide a critical overview of experimental and clinical research documenting problems in figurative language processing in atypical populations with a focus on the Autistic Spectrum. Research in the comprehension and processing of figurative language in autism invariably documents problems in this area. The greater paradox is that even at the higher end of the spectrum or in the cases of linguistically talented individuals with Asperger syndrome, where structural language competence is intact, problems with extended language persist. If we assume that figurative and extended uses of language essentially depend on the perception and processing of more concrete core concepts and phenomena, the commonly observed failure in atypical populations to understand figurative language remains a puzzle. Various accounts have been offered to explain this issue, ranging from linking potential failure directly to overall structural language competence (Norbury, 2005; Brock et al., 2008) to right-hemispheric involvement (Gold and Faust, 2010). We argue that the dissociation between structural language and figurative language competence in autism should be sought in more general cognitive mechanisms and traits in the autistic phenotype (e.g., in terms of weak central coherence, Vulchanova et al., 2012b), as well as failure at on-line semantic integration with increased complexity and diversity of the stimuli (Coulson and Van Petten, 2002). This perspective is even more compelling in light of similar problems in a number of conditions, including both acquired (e.g., Aphasia) and developmental disorders (Williams Syndrome). This dissociation argues against a simple continuity view of language interpretation. PMID:25741261

  5. Syntactic processing is distributed across the language system.

    Science.gov (United States)

    Blank, Idan; Balewski, Zuzanna; Mahowald, Kyle; Fedorenko, Evelina

    2016-02-15

    Language comprehension recruits an extended set of regions in the human brain. Is syntactic processing localized to a particular region or regions within this system, or is it distributed across the entire ensemble of brain regions that support high-level linguistic processing? Evidence from aphasic patients is more consistent with the latter possibility: damage to many different language regions and to white-matter tracts connecting them has been shown to lead to similar syntactic comprehension deficits. However, brain imaging investigations of syntactic processing continue to focus on particular regions within the language system, often parts of Broca's area and regions in the posterior temporal cortex. We hypothesized that, whereas the entire language system is in fact sensitive to syntactic complexity, the effects in some regions may be difficult to detect because of the overall lower response to language stimuli. Using an individual-subjects approach to localizing the language system, shown in prior work to be more sensitive than traditional group analyses, we indeed find responses to syntactic complexity throughout this system, consistent with the findings from the neuropsychological patient literature. We speculate that such distributed nature of syntactic processing could perhaps imply that syntax is inseparable from other aspects of language comprehension (e.g., lexico-semantic processing), in line with current linguistic and psycholinguistic theories and evidence. Neuroimaging investigations of syntactic processing thus need to expand their scope to include the entire system of high-level language processing regions in order to fully understand how syntax is instantiated in the human brain. Copyright © 2015 Elsevier Inc. All rights reserved.

  6. Teaching foreign language during adaptation process to European Union

    Directory of Open Access Journals (Sweden)

    Hidayet TOK

    2008-06-01

    Full Text Available In this study, we aimed to give information about language teaching in EU and Turkey which started negotiations for being full member in EU. Language teaching in both EU countries and in Turkey is studied comparatively in respect of some variables. These variables are: the age at which pupils are first taught foreign languages as a compulsory subject; the number of language taught during compulsory education, using “ CLIL” type provision in education; percentage distribution of all pupils according to the number of foreign languages learnt in primary and secondary education; percentage of all pupils in primary and secondary education who are learning English, German and/or French; relative priority given to the aims associated with the four major skills in curricula for compulsory foreign languages in full-time compulsory education; the minimum number of hours recommended for teaching foreign languages as a compulsory subject during a notional year in primary and secondary education; minimum number of hours recommended for teaching the first foreign language as a compulsory subject in a notional year in full-time compulsory general education and number of years spent for teaching; the proportion of minimum total time prescribed for the teaching of foreign languages as a compulsory subject, as a percentage of total teaching time in primary and fulltime compulsory general secondary education; and regulations or recommendations regarding maximum class sizes for foreign languages in primary education. In the end of this study, there are regulations and recommendations about teaching foreign languages which are foreseen to be implemented in the adaptation process of EU.

  7. Motivation within the Information Processing Model of Foreign Language Learning

    Science.gov (United States)

    Manolopoulou-Sergi, Eleni

    2004-01-01

    The present article highlights the importance of the motivational construct for the foreign language learning (FLL) process. More specifically, in the present article it is argued that motivation is likely to play a significant role at all three stages of the FLL process as they are discussed within the information processing model of FLL, namely,…

  8. Storytelling in the digital world: achieving higher-level learning objectives.

    Science.gov (United States)

    Schwartz, Melissa R

    2012-01-01

    Nursing students are not passive media consumers but instead live in a technology ecosystem where digital is the language they speak. To prepare the next generation of nurses, educators must incorporate multiple technologies to improve higher-order learning. The author discusses the evolution and use of storytelling as part of the digital world and how digital stories can be aligned with Bloom's Taxonomy so that students achieve higher-level learning objectives.

  9. Seeking a Higher Level of Arts Integration across the Curriculum

    Science.gov (United States)

    Sotiropoulou-Zormpala, Marina

    2016-01-01

    To seek a higher level of arts integration across the education curriculum, I investigated designs of teaching through arts activities that would motivate educators to adopt the spirit of "aesthetic teaching." Two different designs were tested, with the second as a continuation of the first. Each ascribes a different educational role to…

  10. Selected Topics on Systems Modeling and Natural Language Processing: Editorial Introduction to the Issue 7 of CSIMQ

    Directory of Open Access Journals (Sweden)

    Witold Andrzejewski

    2016-07-01

    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.

  11. Learning Additional Languages as Hierarchical Probabilistic Inference: Insights From First Language Processing.

    Science.gov (United States)

    Pajak, Bozena; Fine, Alex B; Kleinschmidt, Dave F; Jaeger, T Florian

    2016-12-01

    We present a framework of second and additional language (L2/L n ) acquisition motivated by recent work on socio-indexical knowledge in first language (L1) processing. The distribution of linguistic categories covaries with socio-indexical variables (e.g., talker identity, gender, dialects). We summarize evidence that implicit probabilistic knowledge of this covariance is critical to L1 processing, and propose that L2/L n learning uses the same type of socio-indexical information to probabilistically infer latent hierarchical structure over previously learned and new languages. This structure guides the acquisition of new languages based on their inferred place within that hierarchy, and is itself continuously revised based on new input from any language. This proposal unifies L1 processing and L2/L n acquisition as probabilistic inference under uncertainty over socio-indexical structure. It also offers a new perspective on crosslinguistic influences during L2/L n learning, accommodating gradient and continued transfer (both negative and positive) from previously learned to novel languages, and vice versa.

  12. Artificial intelligence, expert systems, computer vision, and natural language processing

    Science.gov (United States)

    Gevarter, W. B.

    1984-01-01

    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.

  13. Finite-State Methodology in Natural Language Processing

    Directory of Open Access Journals (Sweden)

    Michal Korzycki

    2001-01-01

    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.

  14. Emotional language processing in autism spectrum disorders: a systematic review.

    Science.gov (United States)

    Lartseva, Alina; Dijkstra, Ton; Buitelaar, Jan K

    2014-01-01

    In his first description of Autism Spectrum Disorders (ASD), Kanner emphasized emotional impairments by characterizing children with ASD as indifferent to other people, self-absorbed, emotionally cold, distanced, and retracted. Thereafter, emotional impairments became regarded as part of the social impairments of ASD, and research mostly focused on understanding how individuals with ASD recognize visual expressions of emotions from faces and body postures. However, it still remains unclear how emotions are processed outside of the visual domain. This systematic review aims to fill this gap by focusing on impairments of emotional language processing in ASD. We systematically searched PubMed for papers published between 1990 and 2013 using standardized search terms. Studies show that people with ASD are able to correctly classify emotional language stimuli as emotionally positive or negative. However, processing of emotional language stimuli in ASD is associated with atypical patterns of attention and memory performance, as well as abnormal physiological and neural activity. Particularly, younger children with ASD have difficulties in acquiring and developing emotional concepts, and avoid using these in discourse. These emotional language impairments were not consistently associated with age, IQ, or level of development of language skills. We discuss how emotional language impairments fit with existing cognitive theories of ASD, such as central coherence, executive dysfunction, and weak Theory of Mind. We conclude that emotional impairments in ASD may be broader than just a mere consequence of social impairments, and should receive more attention in future research.

  15. Emotional language processing in Autism Spectrum Disorders: A systematic review

    Directory of Open Access Journals (Sweden)

    Alina eLartseva

    2015-01-01

    Full Text Available In his first description of Autism Spectrum Disorders (ASD, Kanner emphasized emotional impairments by characterizing children with ASD as indifferent to other people, self-absorbed, emotionally cold, distanced, and retracted. Thereafter, emotional impairments became regarded as part of the social impairments of ASD, and research mostly focused on understanding how individuals with ASD recognize visual expressions of emotions from faces and body postures. However, it still remains unclear how emotions are processed outside of the visual domain. This systematic review aims to fill this gap by focusing on impairments of emotional language processing in ASD.We systematically searched PubMed for papers published between 1990 and 2013 using standardized search terms. Studies show that people with ASD are able to correctly classify emotional language stimuli as emotionally positive or negative. However, processing of emotional language stimuli in ASD is associated with atypical patterns of attention and memory performance, as well as abnormal physiological and neural activity. Particularly, younger children with ASD have difficulties in acquiring and developing emotional concepts, and avoid using these in discourse. These emotional language impairments were not consistently associated with age, IQ, or level of development of language skills.We discuss how emotional language impairments fit with existing cognitive theories of ASD, such as central coherence, executive dysfunction, and weak Theory of Mind. We conclude that emotional impairments in ASD may be broader than just a mere consequence of social impairments, and should receive more attention in future research.

  16. Emotional language processing in autism spectrum disorders: a systematic review

    Science.gov (United States)

    Lartseva, Alina; Dijkstra, Ton; Buitelaar, Jan K.

    2015-01-01

    In his first description of Autism Spectrum Disorders (ASD), Kanner emphasized emotional impairments by characterizing children with ASD as indifferent to other people, self-absorbed, emotionally cold, distanced, and retracted. Thereafter, emotional impairments became regarded as part of the social impairments of ASD, and research mostly focused on understanding how individuals with ASD recognize visual expressions of emotions from faces and body postures. However, it still remains unclear how emotions are processed outside of the visual domain. This systematic review aims to fill this gap by focusing on impairments of emotional language processing in ASD. We systematically searched PubMed for papers published between 1990 and 2013 using standardized search terms. Studies show that people with ASD are able to correctly classify emotional language stimuli as emotionally positive or negative. However, processing of emotional language stimuli in ASD is associated with atypical patterns of attention and memory performance, as well as abnormal physiological and neural activity. Particularly, younger children with ASD have difficulties in acquiring and developing emotional concepts, and avoid using these in discourse. These emotional language impairments were not consistently associated with age, IQ, or level of development of language skills. We discuss how emotional language impairments fit with existing cognitive theories of ASD, such as central coherence, executive dysfunction, and weak Theory of Mind. We conclude that emotional impairments in ASD may be broader than just a mere consequence of social impairments, and should receive more attention in future research. PMID:25610383

  17. ERP Response Unveils Effect of Second Language Manipulation on First Language Processing.

    Directory of Open Access Journals (Sweden)

    Elvira Khachatryan

    Full Text Available Lexical access in bilinguals has been considered either selective or non-selective and evidence exists in favor of both hypotheses. We conducted a linguistic experiment to assess whether a bilingual's language mode influences the processing of first language information. We recorded event related potentials during a semantic priming paradigm with a covert manipulation of the second language (L2 using two types of stimulus presentations (short and long. We observed a significant facilitation of word pairs related in L2 in the short version reflected by a decrease in N400 amplitude in response to target words related to the English meaning of an inter-lingual homograph (homograph-unrelated group. This was absent in the long version, as the N400 amplitude for this group was similar to the one for the control-unrelated group. We also interviewed the participants whether they were aware of the importance of L2 in the experiment. We conclude that subjects participating in the long and short versions were in different language modes: closer to monolingual mode for the long and closer to bilingual mode for the short version; and that awareness about covert manipulation of L2 can influence the language mode, which in its turn influences the processing of the first language.

  18. Declarative versus imperative process modeling languages : the issue of maintainability

    NARCIS (Netherlands)

    Fahland, D.; Mendling, J.; Reijers, H.A.; Weber, B.; Weidlich, M.; Zugal, S.; Rinderle-Ma, S.; Sadiq, S.; Leymann, F.

    2010-01-01

    The rise of interest in declarative languages for process modeling both justifies and demands empirical investigations into their presumed advantages over more traditional, imperative alternatives. Our concern in this paper is with the ease of maintaining business process models, for example due to

  19. An overview of computer-based natural language processing

    Science.gov (United States)

    Gevarter, W. B.

    1983-01-01

    Computer based Natural Language Processing (NLP) is the key to enabling humans and their computer based creations to interact with machines in natural language (like English, Japanese, German, etc., in contrast to formal computer languages). The doors that such an achievement can open have made this a major research area in Artificial Intelligence and Computational Linguistics. Commercial natural language interfaces to computers have recently entered the market and future looks bright for other applications as well. This report reviews the basic approaches to such systems, the techniques utilized, applications, the state of the art of the technology, issues and research requirements, the major participants and finally, future trends and expectations. It is anticipated that this report will prove useful to engineering and research managers, potential users, and others who will be affected by this field as it unfolds.

  20. Shared Processing of Language and Music.

    Science.gov (United States)

    Atherton, Ryan P; Chrobak, Quin M; Rauscher, Frances H; Karst, Aaron T; Hanson, Matt D; Steinert, Steven W; Bowe, Kyra L

    2018-01-01

    The present study sought to explore whether musical information is processed by the phonological loop component of the working memory model of immediate memory. Original instantiations of this model primarily focused on the processing of linguistic information. However, the model was less clear about how acoustic information lacking phonological qualities is actively processed. Although previous research has generally supported shared processing of phonological and musical information, these studies were limited as a result of a number of methodological concerns (e.g., the use of simple tones as musical stimuli). In order to further investigate this issue, an auditory interference task was employed. Specifically, participants heard an initial stimulus (musical or linguistic) followed by an intervening stimulus (musical, linguistic, or silence) and were then asked to indicate whether a final test stimulus was the same as or different from the initial stimulus. Results indicated that mismatched interference conditions (i.e., musical - linguistic; linguistic - musical) resulted in greater interference than silence conditions, with matched interference conditions producing the greatest interference. Overall, these results suggest that processing of linguistic and musical information draws on at least some of the same cognitive resources.

  1. Business Process Modeling Languages Supporting Collaborative Networks

    NARCIS (Netherlands)

    Soleimani Malekan, H.; Afsarmanesh, H.; Hammoudi, S.; Maciaszek, L.A.; Cordeiro, J.; Dietz, J.L.G.

    2013-01-01

    Formalizing the definition of Business Processes (BPs) performed within each enterprise is fundamental for effective deployment of their competencies and capabilities within Collaborative Networks (CN). In our approach, every enterprise in the CN is represented by its set of BPs, so that other

  2. Comprehension Process of Second Language Indirect Requests.

    Science.gov (United States)

    Takahashi, Satomi; Roitblat, Herbert L.

    1994-01-01

    Examines the comprehension of English conventional indirect requests by native English speakers and Japanese learners of English. Subjects read stories inducing either a conventional or a literal interpretation of a priming sentence. Results suggest that both native and nonnative speakers process both meanings of an ambiguous conventional request.…

  3. Learning to rank for information retrieval and natural language processing

    CERN Document Server

    Li, Hang

    2014-01-01

    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

  4. Language processing and forms of immediate echolalia in autistic children.

    Science.gov (United States)

    Paccia, J M; Curcio, F

    1982-03-01

    Several aspects of echolalic speech produced by five autistic children were investigated. We found that the incidence of echolalia was influenced by the type of question addressed to the child and, to a lesser extent, by the child's comprehension of the specific relationships expressed in the question. Additionally, acoustic analysis showed that a substantial proportion of echoes involved a prosodic modification of the examiner's question. Further analyses indicated that some of these modified echoes represent more than just a primitive conversational strategy. Specifically, they seem to reflect a higher level of processing and serve a semantic function, that of affirming the examiner's question.

  5. Bioacoustics of human whistled languages: an alternative approach to the cognitive processes of language

    Directory of Open Access Journals (Sweden)

    Meyer Julien

    2004-01-01

    Full Text Available Whistled languages are a valuable heritage of human culture. This paper gives a first survey about a new multidisciplinary approach to these languages. Previous studies on whistled equivalents of languages have already documented that they can provide significant information about the role of rhythm and melody in language. To substantiate this, most whistles are represented by modulations of frequency, centered around 2000 Hz (±1000 Hz and often reach a loudness of about 130 dB (measured at 1m from the source. Their transmission range can reach up to 10 km (as verified in La Gomera, Canary Island, and the messages can remain understandable, even if the signal is deteriorated. In some cultures the use of whistled language is associated with some "talking musical instruments" (e.g. flutes, guitars, harps, gongs, drums, khens. Finally, whistles as a means of conveying information have some analogues in the animal kingdom (e.g. some birds, cetaceans, primates, providing opportunities to compare the acoustic characteristics of the respective signals. With such properties as a reference, the project reported here has two major tasks: to further elucidate the many facets of whistled language and, above all, help to immediately stop the process of its gradual disappearance.

  6. Early Childhood Stuttering and Electrophysiological Indices of Language Processing

    Science.gov (United States)

    Weber-Fox, Christine; Wray, Amanda Hampton; Arnold, Hayley

    2013-01-01

    We examined neural activity mediating semantic and syntactic processing in 27 preschool-age children who stutter (CWS) and 27 preschool-age children who do not stutter (CWNS) matched for age, nonverbal IQ and language abilities. All participants displayed language abilities and nonverbal IQ within the normal range. Event-related brain potentials (ERPs) were elicited while participants watched a cartoon video and heard naturally spoken sentences that were either correct or contained semantic or syntactic (phrase structure) violations. ERPs in CWS, compared to CWNS, were characterized by longer N400 peak latencies elicited by semantic processing. In the CWS, syntactic violations elicited greater negative amplitudes for the early time window (150–350 ms) over medial sites compared to CWNS. Additionally, the amplitude of the P600 elicited by syntactic violations relative to control words was significant over the left hemisphere for the CWNS but showed the reverse pattern in CWS, a robust effect only over the right hemisphere. Both groups of preschoolage children demonstrated marked and differential effects for neural processes elicited by semantic and phrase structure violations; however, a significant proportion of young CWS exhibit differences in the neural functions mediating language processing compared to CWNS despite normal language abilities. These results are the first to show that differences in event-related brain potentials reflecting language processing occur as early as the preschool years in CWS and provide the first evidence that atypical lateralization of hemispheric speech/language functions previously observed in the brains of adults who stutter begin to emerge near the onset of developmental stuttering. PMID:23773672

  7. Neural correlates of British sign language comprehension: spatial processing demands of topographic language.

    Science.gov (United States)

    MacSweeney, Mairéad; Woll, Bencie; Campbell, Ruth; Calvert, Gemma A; McGuire, Philip K; David, Anthony S; Simmons, Andrew; Brammer, Michael J

    2002-10-01

    In all signed languages used by deaf people, signs are executed in "sign space" in front of the body. Some signed sentences use this space to map detailed "real-world" spatial relationships directly. Such sentences can be considered to exploit sign space "topographically." Using functional magnetic resonance imaging, we explored the extent to which increasing the topographic processing demands of signed sentences was reflected in the differential recruitment of brain regions in deaf and hearing native signers of the British Sign Language. When BSL signers performed a sentence anomaly judgement task, the occipito-temporal junction was activated bilaterally to a greater extent for topographic than nontopographic processing. The differential role of movement in the processing of the two sentence types may account for this finding. In addition, enhanced activation was observed in the left inferior and superior parietal lobules during processing of topographic BSL sentences. We argue that the left parietal lobe is specifically involved in processing the precise configuration and location of hands in space to represent objects, agents, and actions. Importantly, no differences in these regions were observed when hearing people heard and saw English translations of these sentences. Despite the high degree of similarity in the neural systems underlying signed and spoken languages, exploring the linguistic features which are unique to each of these broadens our understanding of the systems involved in language comprehension.

  8. Applications of Natural Language Processing in Biodiversity Science

    Directory of Open Access Journals (Sweden)

    Anne E. Thessen

    2012-01-01

    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.

  9. English Language Teaching: phonetics, phonology and auditory processing contributions.

    Science.gov (United States)

    Araújo, Letícia Maria Martins; Feniman, Mariza Ribeiro; Carvalho, Fernanda Ribeiro Pinto de; Lopes-Herrera, Simone Aparecida

    2010-01-01

    interrelation of phonetics, phonology and auditory processing in English Language Teaching. to determine whether prior contact with English phonetics favors general learning of this language (L2), i.e. second language, in Portuguese speakers; to verify performance of these individuals in an auditory processing test prior to and after being taught L2. participants of the study were eight college students who had only studied English in high school. These participants were divided into two groups: control group - were only enrolled in English classes; experimental group - were enrolled in English phonetic classes prior to their enrollment in English classes. Participants were submitted to an auditory processing test and to an oral test in English (Oral Test) prior to and after the classes. Data were analyzed in the same way, i.e. prior to and after the classes. these were expressed statistically by T-Student's test. Analyses indicated no difference in performance between groups. Scores indicated better performance of the control group for answering questions in English in the Oral Test. The experimental group had better performance in the auditory processing test after being enrolled to English phonetic classes and English course. prior basic knowledge of English did not enhance general learning (improvement in pronunciation) of the second language, however, it improved the ability of temporal processing in the used test.

  10. Language meddles with infants’ processing of observed actions

    Directory of Open Access Journals (Sweden)

    Alessandra Sciutti

    2016-08-01

    Full Text Available When learning from actions, language can be a crucial source to specify the learning content. Understanding its interactions with action processing is therefore fundamental when attempting to model the development of human learning to replicate it in artificial agents. From early childhood two different processes participate in shaping infants’ understanding of the events occurring around them: Infants’ motor system influences their action perception, driving their attention to the action goal; additionally, parental language influences the way children parse what they observe into relevant units. To date, however, it has barely been investigated whether these two cognitive processes – action understanding and language – are separate and independent or whether language might interfere with the former. To address this question we evaluated whether a verbal narrative concurrent with action observation could avert 14-month-old infants’ attention from an agent’s action goal, which is otherwise naturally selected when the action is performed by an agent. The infants observed movies of an actor reaching and transporting balls into a box. In three between-subject conditions, the reaching movement was accompanied either with no audio (Base condition, a sine-wave sound (Sound condition, or a speech sample (Speech condition. The results show that the presence of a speech sample underlining the movement phase reduced significantly the number of predictive gaze shifts to the goal compared to the other conditions. Our findings thus indicate that any modelling of the interaction between language and action processing will have to consider a potential top-down effect of the former, as language can be a meddler in the predictive behavior typical of the observation of goal oriented actions.

  11. Combining Natural Language Processing and Statistical Text Mining: A Study of Specialized versus Common Languages

    Science.gov (United States)

    Jarman, Jay

    2011-01-01

    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,…

  12. Representing Information in Patient Reports Using Natural Language Processing and the Extensible Markup Language

    Science.gov (United States)

    Friedman, Carol; Hripcsak, George; Shagina, Lyuda; Liu, Hongfang

    1999-01-01

    Objective: To design a document model that provides reliable and efficient access to clinical information in patient reports for a broad range of clinical applications, and to implement an automated method using natural language processing that maps textual reports to a form consistent with the model. Methods: A document model that encodes structured clinical information in patient reports while retaining the original contents was designed using the extensible markup language (XML), and a document type definition (DTD) was created. An existing natural language processor (NLP) was modified to generate output consistent with the model. Two hundred reports were processed using the modified NLP system, and the XML output that was generated was validated using an XML validating parser. Results: The modified NLP system successfully processed all 200 reports. The output of one report was invalid, and 199 reports were valid XML forms consistent with the DTD. Conclusions: Natural language processing can be used to automatically create an enriched document that contains a structured component whose elements are linked to portions of the original textual report. This integrated document model provides a representation where documents containing specific information can be accurately and efficiently retrieved by querying the structured components. If manual review of the documents is desired, the salient information in the original reports can also be identified and highlighted. Using an XML model of tagging provides an additional benefit in that software tools that manipulate XML documents are readily available. PMID:9925230

  13. Higher-level gait disorders: an open frontier.

    Science.gov (United States)

    Nutt, John G

    2013-09-15

    The term higher-level gait disorders (HLGD) defines a category of balance and gait disorders that are not explained by deficits in strength, tone, sensation, or coordination. HLGD are characterized by various combinations of disequilibrium and impaired locomotion. A plethora of new imaging techniques are beginning to determine the neural circuits that are the basis of these disorders. Although a variety of neurodegenerative and other pathologies can produce HLGD, the most common cause appears to be microvascular disease that causes white-matter lesions and thereby disrupts balance/locomotor circuits. © 2013 Movement Disorder Society.

  14. Executive and Phonological Processes in Second-Language Acquisition

    Science.gov (United States)

    Engel de Abreu, Pascale M. J.; Gathercole, Susan E.

    2012-01-01

    This article reports a latent variable study exploring the specific links among executive processes of working memory, phonological short-term memory, phonological awareness, and proficiency in first (L1), second (L2), and third (L3) languages in 8- to 9-year-olds experiencing multilingual education. Children completed multiple L1-measures of…

  15. Visual and Auditory Input in Second-Language Speech Processing

    Science.gov (United States)

    Hardison, Debra M.

    2010-01-01

    The majority of studies in second-language (L2) speech processing have involved unimodal (i.e., auditory) input; however, in many instances, speech communication involves both visual and auditory sources of information. Some researchers have argued that multimodal speech is the primary mode of speech perception (e.g., Rosenblum 2005). Research on…

  16. Expert Knowledge, Distinctiveness, and Levels of Processing in Language Learning

    Science.gov (United States)

    Bird, Steve

    2012-01-01

    The foreign language vocabulary learning research literature often attributes strong mnemonic potency to the cognitive processing of meaning when learning words. Routinely cited as support for this idea are experiments by Craik and Tulving (C&T) demonstrating superior recognition and recall of studied words following semantic tasks ("deep"…

  17. Concept of APDL, the atomic process description language

    International Nuclear Information System (INIS)

    Sasaki, Akira

    2004-01-01

    The concept of APDL, the Atomic Process Description Language, which provides simple and complete description of atomic model is presented. The syntax to describe electron orbital and configuration is defined for the use in the atomic structure, kinetics and spectral synthesis simulation codes. (author)

  18. Recurrent Artificial Neural Networks and Finite State Natural Language Processing.

    Science.gov (United States)

    Moisl, Hermann

    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…

  19. Language-agnostic processing of microblog data with text embeddings

    NARCIS (Netherlands)

    Chrupala, Grzegorz

    2014-01-01

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

  20. Generation of a command language for nuclear signal and image processing on the basis of a general interactive system

    International Nuclear Information System (INIS)

    Pretschner, D.P.; Pfeiffer, G.; Deutsches Elektronen-Sychnchrotron

    1981-01-01

    In the field of nuclear medicine, BASIC and FORTRAN are currently being favoured as higher-level programming languages for computer-aided signal processing, and most operating systems of so-called ''freely programmable analyzers'' in nuclear wards have compilers for this purpose. However, FORTRAN is not an interactive language and thus not suited for conversational computing as a man-machine interface. BASIC, on the other hand, although a useful starting language for beginners, is not sufficiently sophisticated for complex nuclear medicine problems involving detailed calculations. Integration of new methods of signal acquisition, processing and presentation into an existing system or generation of new systems is difficult in FORTRAN, BASIC or ASSEMBLER and can only be done by system specialists, not by nuclear physicians. This problem may be solved by suitable interactive systems that are easy to learn, flexible, transparent and user-friendly. An interactive system of this type, XDS, was developed in the course of a project on evaluation of radiological image sequences. An XDS-generated command processing system for signal and image processing in nuclear medicine is described. The system is characterized by interactive program development and execution, problem-relevant data types, a flexible procedure concept and an integrated system implementation language for modern image processing algorithms. The advantages of the interactive system are illustrated by an example of diagnosis by nuclear methods. (orig.) [de

  1. A higher-level MRP supertree of placental mammals

    Directory of Open Access Journals (Sweden)

    Bininda-Emonds Olaf RP

    2006-11-01

    Full Text Available Abstract Background The higher-level phylogeny of placental mammals has long been a phylogenetic Gordian knot, with disagreement about both the precise contents of, and relationships between, the extant orders. A recent MRP supertree that favoured 'outdated' hypotheses (notably, monophyly of both Artiodactyla and Lipotyphla has been heavily criticised for including low-quality and redundant data. We apply a stringent data selection protocol designed to minimise these problems to a much-expanded data set of morphological, molecular and combined source trees, to produce a supertree that includes every family of extant placental mammals. Results The supertree is well-resolved and supports both polyphyly of Lipotyphla and paraphyly of Artiodactyla with respect to Cetacea. The existence of four 'superorders' – Afrotheria, Xenarthra, Laurasiatheria and Euarchontoglires – is also supported. The topology is highly congruent with recent (molecular phylogenetic analyses of placental mammals, but is considerably more comprehensive, being the first phylogeny to include all 113 extant families without making a priori assumptions of suprafamilial monophyly. Subsidiary analyses reveal that the data selection protocol played a key role in the major changes relative to a previously published higher-level supertree of placentals. Conclusion The supertree should provide a useful framework for hypothesis testing in phylogenetic comparative biology, and supports the idea that biogeography has played a crucial role in the evolution of placental mammals. Our results demonstrate the importance of minimising poor and redundant data when constructing supertrees.

  2. Higher Level Visual Cortex Represents Retinotopic, Not Spatiotopic, Object Location

    Science.gov (United States)

    Kanwisher, Nancy

    2012-01-01

    The crux of vision is to identify objects and determine their locations in the environment. Although initial visual representations are necessarily retinotopic (eye centered), interaction with the real world requires spatiotopic (absolute) location information. We asked whether higher level human visual cortex—important for stable object recognition and action—contains information about retinotopic and/or spatiotopic object position. Using functional magnetic resonance imaging multivariate pattern analysis techniques, we found information about both object category and object location in each of the ventral, dorsal, and early visual regions tested, replicating previous reports. By manipulating fixation position and stimulus position, we then tested whether these location representations were retinotopic or spatiotopic. Crucially, all location information was purely retinotopic. This pattern persisted when location information was irrelevant to the task, and even when spatiotopic (not retinotopic) stimulus position was explicitly emphasized. We also conducted a “searchlight” analysis across our entire scanned volume to explore additional cortex but again found predominantly retinotopic representations. The lack of explicit spatiotopic representations suggests that spatiotopic object position may instead be computed indirectly and continually reconstructed with each eye movement. Thus, despite our subjective impression that visual information is spatiotopic, even in higher level visual cortex, object location continues to be represented in retinotopic coordinates. PMID:22190434

  3. MODELLING OF THE PROCESS OF TEACHING READING ENGLISH LANGUAGE PERIODICALS

    Directory of Open Access Journals (Sweden)

    Тетяна Глушко

    2014-07-01

    Full Text Available The article reveals a scientifically substantiated process of teaching reading English language periodicals in all its components, which are consistently developed, and form of interconnection of the structural elements in the process of teaching reading. This process is presented as a few interconnected and interdetermined models: 1 the models of the process of acquiring standard and expressive lexical knowledge; 2 the models of the process of formation of skills to use such vocabulary; 3 the models of the development of skills to read texts of the different linguistic levels.

  4. Rhythmic Effects of Syntax Processing in Music and Language.

    Science.gov (United States)

    Jung, Harim; Sontag, Samuel; Park, YeBin S; Loui, Psyche

    2015-01-01

    Music and language are human cognitive and neural functions that share many structural similarities. Past theories posit a sharing of neural resources between syntax processing in music and language (Patel, 2003), and a dynamic attention network that governs general temporal processing (Large and Jones, 1999). Both make predictions about music and language processing over time. Experiment 1 of this study investigates the relationship between rhythmic expectancy and musical and linguistic syntax in a reading time paradigm. Stimuli (adapted from Slevc et al., 2009) were sentences broken down into segments; each sentence segment was paired with a musical chord and presented at a fixed inter-onset interval. Linguistic syntax violations appeared in a garden-path design. During the critical region of the garden-path sentence, i.e., the particular segment in which the syntactic unexpectedness was processed, expectancy violations for language, music, and rhythm were each independently manipulated: musical expectation was manipulated by presenting out-of-key chords and rhythmic expectancy was manipulated by perturbing the fixed inter-onset interval such that the sentence segments and musical chords appeared either early or late. Reading times were recorded for each sentence segment and compared for linguistic, musical, and rhythmic expectancy. Results showed main effects of rhythmic expectancy and linguistic syntax expectancy on reading time. There was also an effect of rhythm on the interaction between musical and linguistic syntax: effects of violations in musical and linguistic syntax showed significant interaction only during rhythmically expected trials. To test the effects of our experimental design on rhythmic and linguistic expectancies, independently of musical syntax, Experiment 2 used the same experimental paradigm, but the musical factor was eliminated-linguistic stimuli were simply presented silently, and rhythmic expectancy was manipulated at the critical

  5. Teachers’ competences in the foreign language teaching/learning process

    Directory of Open Access Journals (Sweden)

    Douglas Altamiro Consolo

    2012-10-01

    Full Text Available In this article we discuss competences demanded from the foreign language teacher for him or her to perform in the teaching-learning process efficiently. Our reflections are based mainly on Paulo Freire (2001, Philippe Perrenoud (2000, Edgar Morin (2003, Maurice Tardif (2002 and Almeida Filho (1999, providing, in this way, a reflective dialogue among studies that focus on teachers’ competences. The main objective is a better understanding of the necessary knowledge about teaching practices so that foreign language teachers’ actions can meet the needs of education at present. We expect to highlight important issues in the development of the aforementioned competences, and suggest that their development can contribute for better language teaching.

  6. Neural correlates of audiovisual speech processing in a second language.

    Science.gov (United States)

    Barrós-Loscertales, Alfonso; Ventura-Campos, Noelia; Visser, Maya; Alsius, Agnès; Pallier, Christophe; Avila Rivera, César; Soto-Faraco, Salvador

    2013-09-01

    Neuroimaging studies of audiovisual speech processing have exclusively addressed listeners' native language (L1). Yet, several behavioural studies now show that AV processing plays an important role in non-native (L2) speech perception. The current fMRI study measured brain activity during auditory, visual, audiovisual congruent and audiovisual incongruent utterances in L1 and L2. BOLD responses to congruent AV speech in the pSTS were stronger than in either unimodal condition in both L1 and L2. Yet no differences in AV processing were expressed according to the language background in this area. Instead, the regions in the bilateral occipital lobe had a stronger congruency effect on the BOLD response (congruent higher than incongruent) in L2 as compared to L1. According to these results, language background differences are predominantly expressed in these unimodal regions, whereas the pSTS is similarly involved in AV integration regardless of language dominance. Copyright © 2013 Elsevier Inc. All rights reserved.

  7. Emergent Processes of Language Acquisition: Japanese Language Leaning and the Consumption of Japanese Cultural Products in Thailand

    OpenAIRE

    Toyoshima, Noboru

    2013-01-01

    Motivation for learning a second language varies among individuals: some people enjoy the process of learning languages, while others learn a second language for practical reasons. Previous fieldwork research in Thailand has shown that many consumers of Japanese cultural products are also learners of the Japanese language. This suggests that Japanese cultural products motivate consumers to start studying Japanese and to continue learning it. In this study, two hypotheses will be posed in orde...

  8. Translating Message Sequence Charts to other Process Languages using Process

    DEFF Research Database (Denmark)

    Lassen, Kristian Bisgaard; van Dongen, Boudewijn F.

    2008-01-01

    stakeholders. Often such discussions lead to more complete behavioral models described by e.g. Event-driven Process Chains (EPCs), UML activity diagrams, BPMN models, Petri nets, etc. Process mining on the other hand, deals with the problem of constructing complete behavioral models by analyzing event logs...

  9. Hierarchical processing in music, language, and action: Lashley revisited.

    Science.gov (United States)

    Fitch, W Tecumseh; Martins, Mauricio D

    2014-05-01

    Sixty years ago, Karl Lashley suggested that complex action sequences, from simple motor acts to language and music, are a fundamental but neglected aspect of neural function. Lashley demonstrated the inadequacy of then-standard models of associative chaining, positing a more flexible and generalized "syntax of action" necessary to encompass key aspects of language and music. He suggested that hierarchy in language and music builds upon a more basic sequential action system, and provided several concrete hypotheses about the nature of this system. Here, we review a diverse set of modern data concerning musical, linguistic, and other action processing, finding them largely consistent with an updated neuroanatomical version of Lashley's hypotheses. In particular, the lateral premotor cortex, including Broca's area, plays important roles in hierarchical processing in language, music, and at least some action sequences. Although the precise computational function of the lateral prefrontal regions in action syntax remains debated, Lashley's notion-that this cortical region implements a working-memory buffer or stack scannable by posterior and subcortical brain regions-is consistent with considerable experimental data. © 2014 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals Inc. on behalf of The New York Academy of Sciences.

  10. Transformation Strategies between Block-Oriented and Graph-Oriented Process Modelling Languages

    DEFF Research Database (Denmark)

    Mendling, Jan; Lassen, Kristian Bisgaard; Zdun, Uwe

    2006-01-01

    Much recent research work discusses the transformation between different process modelling languages. This work, however, is mainly focussed on specific process modelling languages, and thus the general reusability of the applied transformation concepts is rather limited. In this paper, we aim...... to abstract from concrete transformation strategies by distinguishing two major paradigms for representing control flow in process modelling languages: block-oriented languages (such as BPEL and BPML) and graph-oriented languages (such as EPCs and YAWL). The contribution of this paper are generic strategies...... for transforming from block-oriented process languages to graph-oriented languages, and vice versa....

  11. Constraint processing in our extensible language for cooperative imaging system

    Science.gov (United States)

    Aoki, Minoru; Murao, Yo; Enomoto, Hajime

    1996-02-01

    The extensible WELL (Window-based elaboration language) has been developed using the concept of common platform, where both client and server can communicate with each other with support from a communication manager. This extensible language is based on an object oriented design by introducing constraint processing. Any kind of services including imaging in the extensible language is controlled by the constraints. Interactive functions between client and server are extended by introducing agent functions including a request-respond relation. Necessary service integrations are satisfied with some cooperative processes using constraints. Constraints are treated similarly to data, because the system should have flexibilities in the execution of many kinds of services. The similar control process is defined by using intentional logic. There are two kinds of constraints, temporal and modal constraints. Rendering the constraints, the predicate format as the relation between attribute values can be a warrant for entities' validity as data. As an imaging example, a processing procedure of interaction between multiple objects is shown as an image application for the extensible system. This paper describes how the procedure proceeds in the system, and that how the constraints work for generating moving pictures.

  12. Balanced bilinguals favor lexical processing in their opaque language and conversion system in their shallow language.

    Science.gov (United States)

    Buetler, Karin A; de León Rodríguez, Diego; Laganaro, Marina; Müri, René; Nyffeler, Thomas; Spierer, Lucas; Annoni, Jean-Marie

    2015-11-01

    Referred to as orthographic depth, the degree of consistency of grapheme/phoneme correspondences varies across languages from high in shallow orthographies to low in deep orthographies. The present study investigates the impact of orthographic depth on reading route by analyzing evoked potentials to words in a deep (French) and shallow (German) language presented to highly proficient bilinguals. ERP analyses to German and French words revealed significant topographic modulations 240-280 ms post-stimulus onset, indicative of distinct brain networks engaged in reading over this time window. Source estimations revealed that these effects stemmed from modulations of left insular, inferior frontal and dorsolateral regions (German>French) previously associated to phonological processing. Our results show that reading in a shallow language was associated to a stronger engagement of phonological pathways than reading in a deep language. Thus, the lexical pathways favored in word reading are reinforced by phonological networks more strongly in the shallow than deep orthography. Copyright © 2015 Elsevier Inc. All rights reserved.

  13. When language comprehension goes wrong for the right reasons: Good-enough, underspecified, or shallow language processing.

    Science.gov (United States)

    Christianson, Kiel

    2016-01-01

    This paper contains an overview of language processing that can be described as "good enough", "underspecified", or "shallow". The central idea is that a nontrivial proportion of misunderstanding, misinterpretation, and miscommunication can be attributed not to random error, but instead to processing preferences of the human language processing system. In other words, the very architecture of the language processor favours certain types of processing errors because in a majority of instances, this "fast and frugal", less effortful processing is good enough to support communication. By way of historical background, connections are made between this relatively recent facet of psycholinguistic study, other recent language processing models, and related concepts in other areas of cognitive science. Finally, the nine papers included in this special issue are introduced as representative of novel explorations of good-enough, or underspecified, language processing.

  14. Using natural language processing techniques to inform research on nanotechnology

    Directory of Open Access Journals (Sweden)

    Nastassja A. Lewinski

    2015-07-01

    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.

  15. Using of Natural Language Processing Techniques in Suicide Research

    Directory of Open Access Journals (Sweden)

    Azam Orooji

    2017-09-01

    Full Text Available It is estimated that each year many people, most of whom are teenagers and young adults die by suicide worldwide. Suicide receives special attention with many countries developing national strategies for prevention. Since, more medical information is available in text, Preventing the growing trend of suicide in communities requires analyzing various textual resources, such as patient records, information on the web or questionnaires. For this purpose, this study systematically reviews recent studies related to the use of natural language processing techniques in the area of people’s health who have completed suicide or are at risk. After electronically searching for the PubMed and ScienceDirect databases and studying articles by two reviewers, 21 articles matched the inclusion criteria. This study revealed that, if a suitable data set is available, natural language processing techniques are well suited for various types of suicide related research.

  16. Natural Language Processing with Small Feed-Forward Networks

    OpenAIRE

    Botha, Jan A.; Pitler, Emily; Ma, Ji; Bakalov, Anton; Salcianu, Alex; Weiss, David; McDonald, Ryan; Petrov, Slav

    2017-01-01

    We show that small and shallow feed-forward neural networks can achieve near state-of-the-art results on a range of unstructured and structured language processing tasks while being considerably cheaper in memory and computational requirements than deep recurrent models. Motivated by resource-constrained environments like mobile phones, we showcase simple techniques for obtaining such small neural network models, and investigate different tradeoffs when deciding how to allocate a small memory...

  17. Active Learning for Automatic Audio Processing of Unwritten Languages (ALAPUL)

    Science.gov (United States)

    2016-07-01

    AFRL-RH-WP-TR-2016-0074 ACTIVE LEARNING FOR AUTOMATIC AUDIO PROCESSING OF UNWRITTEN LANGUAGES (ALAPUL) Dimitra Vergyri Andreas Kathol Wen Wang...FA8650-15-C-9101 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) *Dimitra Vergyri; Andreas Kathol; Wen Wang; Chris Bartels; Julian VanHout...feature transform through deep auto-encoders for better phone recognition performance. We target iterative learning to improve the system through

  18. BPMN4SOA : A service oriented process modelling language

    OpenAIRE

    Bergstøl, Eivind

    2010-01-01

    Service oriented architectures have become very popular the last few years. The abstraction of computer systems into a service paradigm bring many new solutions, both for cross business processes to aid interoperability and the reuse of existing legacy systems in a new network centric world. In the wake of this, service modelling has become a part of OMGs Model Driven Architecture and new modelling languages that are based on past experience for the new paradigm are emerging. BPMN 2.0 and...

  19. Teachers’ competences in the foreign language teaching/learning process

    OpenAIRE

    Douglas Altamiro Consolo; Cristina Francisca de Carvalho Porto

    2012-01-01

    In this article we discuss competences demanded from the foreign language teacher for him or her to perform in the teaching-learning process efficiently. Our reflections are based mainly on Paulo Freire (2001), Philippe Perrenoud (2000), Edgar Morin (2003), Maurice Tardif (2002) and Almeida Filho (1999), providing, in this way, a reflective dialogue among studies that focus on teachers’ competences. The main objective is a better understanding of the necessary knowledge about teaching practic...

  20. Toward raising the higher level of radiological nursing

    International Nuclear Information System (INIS)

    Kusama, Tomoko; Ban, Nobuhiko; Ono, Koji

    2013-01-01

    The role and purpose of nursing in the radiological field are discussed with essentials of radiological nursing for raising its higher level and needed fundamental education. The discussion is from the thought that, at Fukushima Nuclear Power Plant Accident (Mar. 2011), general medical staff including nurses are rather insufficient of radiological knowledge like the exposure, radiation effect and risk. In the medical radiological field, nurses are expected to play roles of arranging the circumstance for patient's ease like explanation about health effect/risk, appropriate nursing of them after radiological diagnosis, radiation protection of nurses themselves, and of environment. At such an emergency as the Accident, care for the acutely exposed victims, their decontamination and responding to patient's concern are necessary. At the later phase, also needed are nursing of victims undergoing health management done by authorities and of radiological workers concerned as well as the third item above. Therefore, fundamentals of radiological knowledge such as physics, exposure, health effects, protection, contamination, legal rules and risk communication are required in the education of nurses. Otherwise, this education can be conducted as a part of safety security and physical assessment. The Accident also gives us the importance of radiological risk communication with its victims. (T.T.)

  1. Heritage-culture images disrupt immigrants' second-language processing through triggering first-language interference.

    Science.gov (United States)

    Zhang, Shu; Morris, Michael W; Cheng, Chi-Ying; Yap, Andy J

    2013-07-09

    For bicultural individuals, visual cues of a setting's cultural expectations can activate associated representations, switching the frames that guide their judgments. Research suggests that cultural cues may affect judgments through automatic priming, but has yet to investigate consequences for linguistic performance. The present studies investigate the proposal that heritage-culture cues hinder immigrants' second-language processing by priming first-language structures. For Chinese immigrants in the United States, speaking to a Chinese (vs. Caucasian) face reduced their English fluency, but at the same time increased their social comfort, effects that did not occur for a comparison group of European Americans (study 1). Similarly, exposure to iconic symbols of Chinese (vs. American) culture hindered Chinese immigrants' English fluency, when speaking about both culture-laden and culture-neutral topics (study 2). Finally, in both recognition (study 3) and naming tasks (study 4), Chinese icon priming increased accessibility of anomalous literal translations, indicating the intrusion of Chinese lexical structures into English processing. We discuss conceptual implications for the automaticity and adaptiveness of cultural priming and practical implications for immigrant acculturation and second-language learning.

  2. Levels of processing and language modality specificity in working memory.

    Science.gov (United States)

    Rudner, Mary; Karlsson, Thomas; Gunnarsson, Johan; Rönnberg, Jerker

    2013-03-01

    Neural networks underpinning working memory demonstrate sign language specific components possibly related to differences in temporary storage mechanisms. A processing approach to memory systems suggests that the organisation of memory storage is related to type of memory processing as well. In the present study, we investigated for the first time semantic, phonological and orthographic processing in working memory for sign- and speech-based language. During fMRI we administered a picture-based 2-back working memory task with Semantic, Phonological, Orthographic and Baseline conditions to 11 deaf signers and 20 hearing non-signers. Behavioural data showed poorer and slower performance for both groups in Phonological and Orthographic conditions than in the Semantic condition, in line with depth-of-processing theory. An exclusive masking procedure revealed distinct sign-specific neural networks supporting working memory components at all three levels of processing. The overall pattern of sign-specific activations may reflect a relative intermodality difference in the relationship between phonology and semantics influencing working memory storage and processing. Copyright © 2012 Elsevier Ltd. All rights reserved.

  3. Prediction in a visual language: real-time sentence processing in American Sign Language across development.

    Science.gov (United States)

    Lieberman, Amy M; Borovsky, Arielle; Mayberry, Rachel I

    2018-01-01

    Prediction during sign language comprehension may enable signers to integrate linguistic and non-linguistic information within the visual modality. In two eyetracking experiments, we investigated American Sign language (ASL) semantic prediction in deaf adults and children (aged 4-8 years). Participants viewed ASL sentences in a visual world paradigm in which the sentence-initial verb was either neutral or constrained relative to the sentence-final target noun. Adults and children made anticipatory looks to the target picture before the onset of the target noun in the constrained condition only, showing evidence for semantic prediction. Crucially, signers alternated gaze between the stimulus sign and the target picture only when the sentential object could be predicted from the verb. Signers therefore engage in prediction by optimizing visual attention between divided linguistic and referential signals. These patterns suggest that prediction is a modality-independent process, and theoretical implications are discussed.

  4. ENGLISH LANGUAGE FOR SUCCESSFUL INTEGRATION: LEARNING FROM THE BOLOGNA PROCESS

    Directory of Open Access Journals (Sweden)

    Hernandez - Carrion Jose Rodolfo

    2011-12-01

    Full Text Available The Bologna Process aims to provide tools to connect the European national educational systems. The purpose of this paper is to analyze what we have learned and what challenges remain today. Since the beginning all participating countries had to agree on a comparable three cycle degree system for undergraduates (Bachelor degrees or Grades and graduates (Master and PhD degrees in order to create compatibility and comparability for achieving international competitiveness and a worldwide degree of attractiveness in higher education. The Bologna Declaration, originally signed by 29 countries, has now reached 47 countries, engaged in the process of creating a European Higher Education Area (EHEA, searching to be competitive to launch the European Academia of the 21st Century. The European Credit Transfer and Accumulation System (ECTS has turned out to be the perfect tool to design, describe, and deliver programs and award higher education qualifications. Markets and European universities are going to be able to compete overseas in the future if the new regulations let them to create profitable business in the education area. As expected, European Universities have responded promptly and actively to the call. In the case of small countries like Spain, it is an opportunity to internationalize Spanish universities; moreover, there is the opportunity for the expansion and consolidation of the Spanish language as the second most important foreign language. The 2009 Report highlights that early teaching of a foreign language is advancing in Europe. In lower secondary education, earlier teaching of English is becoming widespread; and the three Nordic countries, Germany, and the UK are the highest innovation performers. The result is a system of higher education more competitive and more attractive for Europeans and non-Europeans students and scholars. Reform is needed today if Europe wants to match the performance of the best performing higher education

  5. Transformation Strategies between Block-Oriented and Graph-Oriented Process Modelling Languages

    DEFF Research Database (Denmark)

    Mendling, Jan; Lassen, Kristian Bisgaard; Zdun, Uwe

    to abstract from concrete transformationstrategies by distinguishing two major paradigms for process modelling languages:block-oriented languages (such as BPEL and BPML) and graph-oriented languages(such as EPCs and YAWL). The contribution of this paper are generic strategiesfor transforming from block......Much recent research work discusses the transformation between differentprocess modelling languages. This work, however, is mainly focussed on specific processmodelling languages, and thus the general reusability of the applied transformationconcepts is rather limited. In this paper, we aim......-oriented process languages to graph-oriented languages,and vice versa. We also present two case studies of applying our strategies....

  6. Pattern Recognition and Natural Language Processing: State of the Art

    Directory of Open Access Journals (Sweden)

    Mirjana Kocaleva

    2016-05-01

    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.

  7. Natural Language Processing Technologies in Radiology Research and Clinical Applications

    Science.gov (United States)

    Cai, Tianrun; Giannopoulos, Andreas A.; Yu, Sheng; Kelil, Tatiana; Ripley, Beth; Kumamaru, Kanako K.; Rybicki, Frank J.

    2016-01-01

    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

  8. Natural Language Processing Technologies in Radiology Research and Clinical Applications.

    Science.gov (United States)

    Cai, Tianrun; Giannopoulos, Andreas A; Yu, Sheng; Kelil, Tatiana; Ripley, Beth; Kumamaru, Kanako K; Rybicki, Frank J; Mitsouras, Dimitrios

    2016-01-01

    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.

  9. Association between language development and auditory processing disorders

    Directory of Open Access Journals (Sweden)

    Caroline Nunes Rocha-Muniz

    2014-06-01

    Full Text Available INTRODUCTION: It is crucial to understand the complex processing of acoustic stimuli along the auditory pathway ;comprehension of this complex processing can facilitate our understanding of the processes that underlie normal and altered human communication. AIM: To investigate the performance and lateralization effects on auditory processing assessment in children with specific language impairment (SLI, relating these findings to those obtained in children with auditory processing disorder (APD and typical development (TD. MATERIAL AND METHODS: Prospective study. Seventy-five children, aged 6-12 years, were separated in three groups: 25 children with SLI, 25 children with APD, and 25 children with TD. All went through the following tests: speech-in-noise test, Dichotic Digit test and Pitch Pattern Sequencing test. RESULTS: The effects of lateralization were observed only in the SLI group, with the left ear presenting much lower scores than those presented to the right ear. The inter-group analysis has shown that in all tests children from APD and SLI groups had significantly poorer performance compared to TD group. Moreover, SLI group presented worse results than APD group. CONCLUSION: This study has shown, in children with SLI, an inefficient processing of essential sound components and an effect of lateralization. These findings may indicate that neural processes (required for auditory processing are different between auditory processing and speech disorders.

  10. Recent Technological Advances in Natural Language Processing and Artificial Intelligence

    OpenAIRE

    Shah, Nishal Pradeepkumar

    2012-01-01

    A recent advance in computer technology has permitted scientists to implement and test algorithms that were known from quite some time (or not) but which were computationally expensive. Two such projects are IBM's Jeopardy as a part of its DeepQA project [1] and Wolfram's Wolframalpha[2]. Both these methods implement natural language processing (another goal of AI scientists) and try to answer questions as asked by the user. Though the goal of the two projects is similar, both of them have a ...

  11. Box: Natural Language Processing Research Using Amazon Web Services

    Directory of Open Access Journals (Sweden)

    Axelrod Amittai

    2015-10-01

    Full Text Available We present a publicly-available state-of-the-art research and development platform for Machine Translation and Natural Language Processing that runs on the Amazon Elastic Compute Cloud. This provides a standardized research environment for all users, and enables perfect reproducibility and compatibility. Box also enables users to use their hardware budget to avoid the management and logistical overhead of maintaining a research lab, yet still participate in global research community with the same state-of-the-art tools.

  12. Interactive data language (IDL) for medical image processing

    International Nuclear Information System (INIS)

    Md Saion Salikin

    2002-01-01

    Interactive Data Language (IDL) is one of many softwares available in the market for medical image processing and analysis. IDL is a complete, structured language that can be used both interactively and to create sophisticated functions, procedures, and applications. It provides a suitable processing routines and display method which include animation, specification of colour table including 24-bit capability, 3-D visualization and many graphic operation. The important features of IDL for medical imaging are segmentation, visualization, quantification and pattern recognition. In visualization IDL is capable of allowing greater precision and flexibility when visualizing data. For example, IDL eliminates the limits on Number of Contour level. In term of data analysis, IDL is capable of handling complicated functions such as Fast Fourier Transform (FFT) function, Hough and Radon Transform function, Legendre Polynomial function, as well as simple functions such as Histogram function. In pattern recognition, pattern description is defined as points rather than pixels. With this functionality, it is easy to re-use the same pattern on more than one destination device (even if the destinations have varying resolution). In other words it have the ability to specify values in points. However there are a few disadvantages of using IDL. Licensing is by dongkel key and limited licences hence limited access to potential IDL users. A few examples are shown to demonstrate the capabilities of IDL in carrying out its function for medical image processing. (Author)

  13. Auditory processing efficiency deficits in children with developmental language impairments

    Science.gov (United States)

    Hartley, Douglas E. H.; Moore, David R.

    2002-12-01

    The ``temporal processing hypothesis'' suggests that individuals with specific language impairments (SLIs) and dyslexia have severe deficits in processing rapidly presented or brief sensory information, both within the auditory and visual domains. This hypothesis has been supported through evidence that language-impaired individuals have excess auditory backward masking. This paper presents an analysis of masking results from several studies in terms of a model of temporal resolution. Results from this modeling suggest that the masking results can be better explained by an ``auditory efficiency'' hypothesis. If impaired or immature listeners have a normal temporal window, but require a higher signal-to-noise level (poor processing efficiency), this hypothesis predicts the observed small deficits in the simultaneous masking task, and the much larger deficits in backward and forward masking tasks amongst those listeners. The difference in performance on these masking tasks is predictable from the compressive nonlinearity of the basilar membrane. The model also correctly predicts that backward masking (i) is more prone to training effects, (ii) has greater inter- and intrasubject variability, and (iii) increases less with masker level than do other masking tasks. These findings provide a new perspective on the mechanisms underlying communication disorders and auditory masking.

  14. Creation of structured documentation templates using Natural Language Processing techniques.

    Science.gov (United States)

    Kashyap, Vipul; Turchin, Alexander; Morin, Laura; Chang, Frank; Li, Qi; Hongsermeier, Tonya

    2006-01-01

    Structured Clinical Documentation is a fundamental component of the healthcare enterprise, linking both clinical (e.g., electronic health record, clinical decision support) and administrative functions (e.g., evaluation and management coding, billing). One of the challenges in creating good quality documentation templates has been the inability to address specialized clinical disciplines and adapt to local clinical practices. A one-size-fits-all approach leads to poor adoption and inefficiencies in the documentation process. On the other hand, the cost associated with manual generation of documentation templates is significant. Consequently there is a need for at least partial automation of the template generation process. We propose an approach and methodology for the creation of structured documentation templates for diabetes using Natural Language Processing (NLP).

  15. Simplifying Scalable Graph Processing with a Domain-Specific Language

    KAUST Repository

    Hong, Sungpack; Salihoglu, Semih; Widom, Jennifer; Olukotun, Kunle

    2014-01-01

    Large-scale graph processing, with its massive data sets, requires distributed processing. However, conventional frameworks for distributed graph processing, such as Pregel, use non-traditional programming models that are well-suited for parallelism and scalability but inconvenient for implementing non-trivial graph algorithms. In this paper, we use Green-Marl, a Domain-Specific Language for graph analysis, to intuitively describe graph algorithms and extend its compiler to generate equivalent Pregel implementations. Using the semantic information captured by Green-Marl, the compiler applies a set of transformation rules that convert imperative graph algorithms into Pregel's programming model. Our experiments show that the Pregel programs generated by the Green-Marl compiler perform similarly to manually coded Pregel implementations of the same algorithms. The compiler is even able to generate a Pregel implementation of a complicated graph algorithm for which a manual Pregel implementation is very challenging.

  16. Simplifying Scalable Graph Processing with a Domain-Specific Language

    KAUST Repository

    Hong, Sungpack

    2014-01-01

    Large-scale graph processing, with its massive data sets, requires distributed processing. However, conventional frameworks for distributed graph processing, such as Pregel, use non-traditional programming models that are well-suited for parallelism and scalability but inconvenient for implementing non-trivial graph algorithms. In this paper, we use Green-Marl, a Domain-Specific Language for graph analysis, to intuitively describe graph algorithms and extend its compiler to generate equivalent Pregel implementations. Using the semantic information captured by Green-Marl, the compiler applies a set of transformation rules that convert imperative graph algorithms into Pregel\\'s programming model. Our experiments show that the Pregel programs generated by the Green-Marl compiler perform similarly to manually coded Pregel implementations of the same algorithms. The compiler is even able to generate a Pregel implementation of a complicated graph algorithm for which a manual Pregel implementation is very challenging.

  17. INTERDISCURSIVE PROCESSES IN LINGUISTICS AND LITERARY STUDIES: LANGUAGES AND MEDIA IN THE INNOVATION PROCESS OF THE FIELD

    Directory of Open Access Journals (Sweden)

    Rogério Barbosa da Silva

    2013-12-01

    Full Text Available We propose a brief reflection on the interaction between languages ??and media, resulting in a close dialogue between language and technological processes that underlie the historical, and temporal dimensions, but also discursive and audiovisual, especially in poetic interart. Such elements have formed the basis of the discussion held in the discipline Language, Media and Discourse Processes within the Postgraduate in Studies of Languages of CEFET MG

  18. Prereferral Process with Latino English Language Learners with Specific Learning Disabilities: Perceptions of English-as-a-Second-Language Teachers

    Science.gov (United States)

    Ferlis, Emily; Xu, Yaoying

    2016-01-01

    This study explored perceptions of English-as-a-second-language (ESL) teachers on the prereferral process for Latino English language learners (ELLs). Using Colaizzi's (1978) phenomenological approach, qualitative data were collected through interviews with four ESL teachers. Analyses of the data indicated that the ESL teachers used research-based…

  19. Episodic grammar: a computational model of the interaction between episodic and semantic memory in language processing

    NARCIS (Netherlands)

    Borensztajn, G.; Zuidema, W.; Carlson, L.; Hoelscher, C.; Shipley, T.F.

    2011-01-01

    We present a model of the interaction of semantic and episodic memory in language processing. Our work shows how language processing can be understood in terms of memory retrieval. We point out that the perceived dichotomy between rule-based versus exemplar-based language modelling can be

  20. Data Processing Languages for Business Intelligence. SQL vs. R

    Directory of Open Access Journals (Sweden)

    Marin FOTACHE

    2016-01-01

    Full Text Available As data centric approach, Business Intelligence (BI deals with the storage, integration, processing, exploration and analysis of information gathered from multiple sources in various formats and volumes. BI systems are generally synonymous to costly, complex platforms that require vast organizational resources. But there is also an-other face of BI, that of a pool of data sources, applications, services developed at different times using different technologies. This is “democratic” BI or, in some cases, “fragmented”, “patched” (or “chaotic” BI. Fragmentation creates not only integration problems, but also supports BI agility as new modules can be quickly developed. Among various languages and tools that cover large extents of BI activities, SQL and R are instrumental for both BI platform developers and BI users. SQL and R address both monolithic and democratic BI. This paper compares essential data processing features of two languages, identifying similarities and differences among them and also their strengths and limits.

  1. Suicide Note Classification Using Natural Language Processing: A Content Analysis

    Directory of Open Access Journals (Sweden)

    John Pestian

    2010-08-01

    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.

  2. Suicide Note Classification Using Natural Language Processing: A Content Analysis.

    Science.gov (United States)

    Pestian, John; Nasrallah, Henry; Matykiewicz, Pawel; Bennett, Aurora; Leenaars, Antoon

    2010-08-04

    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.

  3. Modality-specific processing precedes amodal linguistic processing during L2 sign language acquisition: A longitudinal study.

    Science.gov (United States)

    Williams, Joshua T; Darcy, Isabelle; Newman, Sharlene D

    2016-02-01

    The present study tracked activation pattern differences in response to sign language processing by late hearing second language learners of American Sign Language. Learners were scanned before the start of their language courses. They were scanned again after their first semester of instruction and their second, for a total of 10 months of instruction. The study aimed to characterize modality-specific to modality-general processing throughout the acquisition of sign language. Results indicated that before the acquisition of sign language, neural substrates related to modality-specific processing were present. After approximately 45 h of instruction, the learners transitioned into processing signs on a phonological basis (e.g., supramarginal gyrus, putamen). After one more semester of input, learners transitioned once more to a lexico-semantic processing stage (e.g., left inferior frontal gyrus) at which language control mechanisms (e.g., left caudate, cingulate gyrus) were activated. During these transitional steps right hemispheric recruitment was observed, with increasing left-lateralization, which is similar to other native signers and L2 learners of spoken language; however, specialization for sign language processing with activation in the inferior parietal lobule (i.e., angular gyrus), even for late learners, was observed. As such, the present study is the first to track L2 acquisition of sign language learners in order to characterize modality-independent and modality-specific mechanisms for bilingual language processing. Copyright © 2015 Elsevier Ltd. All rights reserved.

  4. Proceedings of the 5th International Workshop on Constraints and Language Processing (CSLP 2008)

    DEFF Research Database (Denmark)

    This research report constitutes the proceedings of the 5th International Workshop on Constraints and Language Processing (CSLP 2008) which is part of the European Summer School in Logic, Language, and Information (ESSLLI 2008), Hamburg, Germany, August 2008.......This research report constitutes the proceedings of the 5th International Workshop on Constraints and Language Processing (CSLP 2008) which is part of the European Summer School in Logic, Language, and Information (ESSLLI 2008), Hamburg, Germany, August 2008....

  5. Planning at a Higher Level: Ideas, Form, and Academic Language in Student Prewriting

    Science.gov (United States)

    Morris, Paul

    2012-01-01

    For students, writing is too frequently a matter of going through the motions, perhaps no truer than with the traditional academic essay. Although there are many culprits for this disengagement, one is surely an over-emphasis on form--and particularly set form--to the detriment of content. When form becomes formula, planning is stultified, losing…

  6. Translating message sequence charts to other process languages using process mining

    NARCIS (Netherlands)

    Lassen, K.B.; Dongen, van B.F.; Jensen, K.; Aalst, van der W.M.P.; Billington, J.

    2008-01-01

    Message Sequence Charts (MSCs) are often used by software analysts when discussing the behavior of a system with different stakeholders. Often such discussions lead to more complete behavioral models in the form of, e.g., Event-driven Process Chains (EPCs), Unified Modeling Language (UML), activity

  7. WORD PROCESSING AND SECOND LANGUAGE WRITING: A LONGITUDINAL CASE STUDY

    Directory of Open Access Journals (Sweden)

    Alister Cumming

    2001-12-01

    Full Text Available The purpose of this study was to determine whether word processing might change a second language (L2 leamer's writing processes and improve the quality of his essays over a relatively long period of time. We worked from the assumption that research comparing word-processing to pen and paper composing tends to show positive results when studies include lengthy terms of data collection and when appropriate instruction and training are provided. We compared the processes and products of L2 composing displayed by a 29-year-old, male Mandarin leamer of English with intermediate proficiency in English while he wrote, over 8 months, 14 compositions grouped into 7 comparable pairs of topics altemating between uses of a lap-top computer and of pen and paper. Al1 keystrokes were recorded electronically in the computer environrnent; visual records of al1 text changes were made for the pen-and paper writing. Think-aloud protocols were recorded in al1 sessions. Analyses indicate advantages for the word-processing medium over the pen-and-paper medium in terms ofi a greater frequency of revisions made at the discourse level and at the syntactical level; higher scores for content on analytic ratings of the completed compositions; and more extensive evaluation ofwritten texts in think-aloud verbal reports.

  8. Natural Language Processing in Radiology: A Systematic Review.

    Science.gov (United States)

    Pons, Ewoud; Braun, Loes M M; Hunink, M G Myriam; Kors, Jan A

    2016-05-01

    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.

  9. Auditory processing disorders: an update for speech-language pathologists.

    Science.gov (United States)

    DeBonis, David A; Moncrieff, Deborah

    2008-02-01

    Unanswered questions regarding the nature of auditory processing disorders (APDs), how best to identify at-risk students, how best to diagnose and differentiate APDs from other disorders, and concerns about the lack of valid treatments have resulted in ongoing confusion and skepticism about the diagnostic validity of this label. This poses challenges for speech-language pathologists (SLPs) who are working with school-age children and whose scope of practice includes APD screening and intervention. The purpose of this article is to address some of the questions commonly asked by SLPs regarding APDs in school-age children. This article is also intended to serve as a resource for SLPs to be used in deciding what role they will or will not play with respect to APDs in school-age children. The methodology used in this article included a computerized database review of the latest published information on APD, with an emphasis on the work of established researchers and expert panels, including articles from the American Speech-Language-Hearing Association and the American Academy of Audiology. The article concludes with the authors' recommendations for continued research and their views on the appropriate role of the SLP in performing careful screening, making referrals, and supporting intervention.

  10. Semantic processing skills of Grade 1 English language learners in ...

    African Journals Online (AJOL)

    This paper reports on part of the first phase of a longitudinal project investigating the development of academic language in English as the Language of Teaching and Learning (LoLT) by Foundation phase learners in two different educational contexts. In the first context, the learners were all English additional language ...

  11. Phonetic and lexical processing in a second language

    NARCIS (Netherlands)

    Broersma, M.

    2005-01-01

    Speech comprehension is more difficult in a second language than in one's native language. This dissertation examines the recognition of speech sounds and the recognition of words in a second language. First, Dutch and English listeners' perception of the British English vowels /ae/-/E/, was

  12. Language

    DEFF Research Database (Denmark)

    Sanden, Guro Refsum

    2016-01-01

    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...... of a company. Language policies and/or strategies can be used to regulate a company’s internal modes of communication. Language management tools can be deployed to address existing and expected language needs. Continuous feedback from the front line ensures strategic learning and reduces the risk of suboptimal...

  13. Behind the scenes: A medical natural language processing project.

    Science.gov (United States)

    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

    2018-04-01

    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.

  14. Building gold standard corpora for medical natural language processing tasks.

    Science.gov (United States)

    Deleger, Louise; Li, Qi; Lingren, Todd; Kaiser, Megan; Molnar, Katalin; Stoutenborough, Laura; Kouril, Michal; Marsolo, Keith; Solti, Imre

    2012-01-01

    We present the construction of three annotated corpora to serve as gold standards for medical natural language processing (NLP) tasks. Clinical notes from the medical record, clinical trial announcements, and FDA drug labels are annotated. We report high inter-annotator agreements (overall F-measures between 0.8467 and 0.9176) for the annotation of Personal Health Information (PHI) elements for a de-identification task and of medications, diseases/disorders, and signs/symptoms for information extraction (IE) task. The annotated corpora of clinical trials and FDA labels will be publicly released and to facilitate translational NLP tasks that require cross-corpora interoperability (e.g. clinical trial eligibility screening) their annotation schemas are aligned with a large scale, NIH-funded clinical text annotation project.

  15. Auditory Processing Disorder (For Parents)

    Science.gov (United States)

    ... role. Auditory cohesion problems: This is when higher-level listening tasks are difficult. Auditory cohesion skills — drawing inferences from conversations, understanding riddles, or comprehending verbal math problems — require heightened auditory processing and language levels. ...

  16. Evidence for shared cognitive processing of pitch in music and language.

    Science.gov (United States)

    Perrachione, Tyler K; Fedorenko, Evelina G; Vinke, Louis; Gibson, Edward; Dilley, Laura C

    2013-01-01

    Language and music epitomize the complex representational and computational capacities of the human mind. Strikingly similar in their structural and expressive features, a longstanding question is whether the perceptual and cognitive mechanisms underlying these abilities are shared or distinct--either from each other or from other mental processes. One prominent feature shared between language and music is signal encoding using pitch, conveying pragmatics and semantics in language and melody in music. We investigated how pitch processing is shared between language and music by measuring consistency in individual differences in pitch perception across language, music, and three control conditions intended to assess basic sensory and domain-general cognitive processes. Individuals' pitch perception abilities in language and music were most strongly related, even after accounting for performance in all control conditions. These results provide behavioral evidence, based on patterns of individual differences, that is consistent with the hypothesis that cognitive mechanisms for pitch processing may be shared between language and music.

  17. Language Analysis in the Context of the Asylum Process: Procedures, Validity, and Consequences

    Science.gov (United States)

    Reath, Anne

    2004-01-01

    In 1993, the language section of the Swedish Migration Board initiated the production of documents they called "language analyses" to aid in the processing of asylum seekers. Today, 11 years later, 2 privately owned companies in Stockholm produce these documents. These companies have produced language analyses not only for the Swedish…

  18. Peeling the Onion of Auditory Processing Disorder: A Language/Curricular-Based Perspective

    Science.gov (United States)

    Wallach, Geraldine P.

    2011-01-01

    Purpose: This article addresses auditory processing disorder (APD) from a language-based perspective. The author asks speech-language pathologists to evaluate the functionality (or not) of APD as a diagnostic category for children and adolescents with language-learning and academic difficulties. Suggestions are offered from a…

  19. The Relationship between Second Language Acquisition Process and English Language Teaching in Indonesia

    OpenAIRE

    Pritz Hutabarat

    2016-01-01

    English as a global language is learned worldwide and a plethora of methods and approaches have been developed and practiced in English classrooms by dedicated teachers and students. Understanding the underlying theories of second and foreign language acquisition and learning will help both teachers and students in learning and teaching a target language. There has not been many research conducted in the area, especially within Indonesian context. This research therefore attempts to fill in g...

  20. LANGUAGE EXPERIENCE SHAPES PROCESSING OF PITCH RELEVANT INFORMATION IN THE HUMAN BRAINSTEM AND AUDITORY CORTEX: ELECTROPHYSIOLOGICAL EVIDENCE.

    Science.gov (United States)

    Krishnan, Ananthanarayan; Gandour, Jackson T

    2014-12-01

    Pitch is a robust perceptual attribute that plays an important role in speech, language, and music. As such, it provides an analytic window to evaluate how neural activity relevant to pitch undergo transformation from early sensory to later cognitive stages of processing in a well coordinated hierarchical network that is subject to experience-dependent plasticity. We review recent evidence of language experience-dependent effects in pitch processing based on comparisons of native vs. nonnative speakers of a tonal language from electrophysiological recordings in the auditory brainstem and auditory cortex. We present evidence that shows enhanced representation of linguistically-relevant pitch dimensions or features at both the brainstem and cortical levels with a stimulus-dependent preferential activation of the right hemisphere in native speakers of a tone language. We argue that neural representation of pitch-relevant information in the brainstem and early sensory level processing in the auditory cortex is shaped by the perceptual salience of domain-specific features. While both stages of processing are shaped by language experience, neural representations are transformed and fundamentally different at each biological level of abstraction. The representation of pitch relevant information in the brainstem is more fine-grained spectrotemporally as it reflects sustained neural phase-locking to pitch relevant periodicities contained in the stimulus. In contrast, the cortical pitch relevant neural activity reflects primarily a series of transient temporal neural events synchronized to certain temporal attributes of the pitch contour. We argue that experience-dependent enhancement of pitch representation for Chinese listeners most likely reflects an interaction between higher-level cognitive processes and early sensory-level processing to improve representations of behaviorally-relevant features that contribute optimally to perception. It is our view that long

  1. Higher-level fusion for military operations based on abductive inference: proof of principle

    Science.gov (United States)

    Pantaleev, Aleksandar V.; Josephson, John

    2006-04-01

    The ability of contemporary military commanders to estimate and understand complicated situations already suffers from information overload, and the situation can only grow worse. We describe a prototype application that uses abductive inferencing to fuse information from multiple sensors to evaluate the evidence for higher-level hypotheses that are close to the levels of abstraction needed for decision making (approximately JDL levels 2 and 3). Abductive inference (abduction, inference to the best explanation) is a pattern of reasoning that occurs naturally in diverse settings such as medical diagnosis, criminal investigations, scientific theory formation, and military intelligence analysis. Because abduction is part of common-sense reasoning, implementations of it can produce reasoning traces that are very human understandable. Automated abductive inferencing can be deployed to augment human reasoning, taking advantage of computation to process large amounts of information, and to bypass limits to human attention and short-term memory. We illustrate the workings of the prototype system by describing an example of its use for small-unit military operations in an urban setting. Knowledge was encoded as it might be captured prior to engagement from a standard military decision making process (MDMP) and analysis of commander's priority intelligence requirements (PIR). The system is able to reasonably estimate the evidence for higher-level hypotheses based on information from multiple sensors. Its inference processes can be examined closely to verify correctness. Decision makers can override conclusions at any level and changes will propagate appropriately.

  2. Arabic text preprocessing for the natural language processing applications

    International Nuclear Information System (INIS)

    Awajan, A.

    2007-01-01

    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)

  3. A common type system for clinical natural language processing

    Directory of Open Access Journals (Sweden)

    Wu Stephen T

    2013-01-01

    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.

  4. A common type system for clinical natural language processing.

    Science.gov (United States)

    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

    2013-01-03

    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.

  5. Working Memory Capacity and Language Processes in Children with Specific Language Impairment

    Science.gov (United States)

    Marton, Klara; Schwartz, Richard G.

    2003-01-01

    This study examined the interaction between working memory and language comprehension in children with specific language impairment (SLI), focusing on the function of the central executive component and its interaction with the phonological loop (A. D. Baddeley, 1986) in complex working memory tasks. Thirteen children with SLI and 13 age-matched…

  6. Interaction of Language Processing and Motor Skill in Children with Specific Language Impairment

    Science.gov (United States)

    DiDonato Brumbach, Andrea C.; Goffman, Lisa

    2014-01-01

    Purpose: To examine how language production interacts with speech motor and gross and fine motor skill in children with specific language impairment (SLI). Method: Eleven children with SLI and 12 age-matched peers (4-6 years) produced structurally primed sentences containing particles and prepositions. Utterances were analyzed for errors and for…

  7. Computational Nonlinear Morphology with Emphasis on Semitic Languages. Studies in Natural Language Processing.

    Science.gov (United States)

    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,…

  8. Sex Differences in Cerebral Laterality of Language and Visuospatial Processing

    Science.gov (United States)

    Clements, A. M.; Rimrodt, S. L.; Abel, J. R.; Blankner, J. G.; Mostofsky, S. H.; Pekar, J. J.; Denckla, M. B.; Cutting, L. E.

    2006-01-01

    Sex differences on language and visuospatial tasks are of great interest, with differences in hemispheric laterality hypothesized to exist between males and females. Some functional imaging studies examining sex differences have shown that males are more left lateralized on language tasks and females are more right lateralized on visuospatial…

  9. Phonological working memory and auditory processing speed in children with specific language impairment

    Directory of Open Access Journals (Sweden)

    Fatemeh Haresabadi

    2015-02-01

    Full Text Available Background and Aim: Specific language impairment (SLI, one variety of developmental language disorder, has attracted much interest in recent decades. Much research has been conducted to discover why some children have a specific language impairment. So far, research has failed to identify a reason for this linguistic deficiency. Some researchers believe language disorder causes defects in phonological working memory and affects auditory processing speed. Therefore, this study reviews the results of research investigating these two factors in children with specific language impairment.Recent Findings: Studies have shown that children with specific language impairment face constraints in phonological working memory capacity. Memory deficit is one possible cause of linguistic disorder in children with specific language impairment. However, in these children, disorder in information processing speed is observed, especially regarding the auditory aspect.Conclusion: Much more research is required to adequately explain the relationship between phonological working memory and auditory processing speed with language. However, given the role of phonological working memory and auditory processing speed in language acquisition, a focus should be placed on phonological working memory capacity and auditory processing speed in the assessment and treatment of children with a specific language impairment.

  10. Working memory, long-term memory and language processing : issues and future directions

    OpenAIRE

    Collette, Fabienne; Van der Linden, Martial; Poncelet, Martine

    2000-01-01

    We examined different views of the relationships between working memory, long-term memory and language processing : working memory considered as a gateway between sensory input and long-term memory or rather as a workspace; working memory considered as not strictly tied to any particular cognitive system (and consequently viewed as separated from the language system) or rather as drawing on the operation and storage capacities of a subset of components involved in language processing. It is a...

  11. Crowdsourcing and curation: perspectives from biology and natural language processing.

    Science.gov (United States)

    Hirschman, Lynette; Fort, Karën; Boué, Stéphanie; Kyrpides, Nikos; Islamaj Doğan, Rezarta; Cohen, Kevin Bretonnel

    2016-01-01

    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.

  12. Emerging Approach of Natural Language Processing in Opinion Mining: A Review

    Science.gov (United States)

    Kim, Tai-Hoon

    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.

  13. Automation of a problem list using natural language processing

    Directory of Open Access Journals (Sweden)

    Haug Peter J

    2005-08-01

    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

  14. Evaluation of PHI Hunter in Natural Language Processing Research.

    Science.gov (United States)

    Redd, Andrew; Pickard, Steve; Meystre, Stephane; Scehnet, Jeffrey; Bolton, Dan; Heavirland, Julia; Weaver, Allison Lynn; Hope, Carol; Garvin, Jennifer Hornung

    2015-01-01

    We introduce and evaluate a new, easily accessible tool using a common statistical analysis and business analytics software suite, SAS, which can be programmed to remove specific protected health information (PHI) from a text document. Removal of PHI is important because the quantity of text documents used for research with natural language processing (NLP) is increasing. When using existing data for research, an investigator must remove all PHI not needed for the research to comply with human subjects' right to privacy. This process is similar, but not identical, to de-identification of a given set of documents. PHI Hunter removes PHI from free-form text. It is a set of rules to identify and remove patterns in text. PHI Hunter was applied to 473 Department of Veterans Affairs (VA) text documents randomly drawn from a research corpus stored as unstructured text in VA files. PHI Hunter performed well with PHI in the form of identification numbers such as Social Security numbers, phone numbers, and medical record numbers. The most commonly missed PHI items were names and locations. Incorrect removal of information occurred with text that looked like identification numbers. PHI Hunter fills a niche role that is related to but not equal to the role of de-identification tools. It gives research staff a tool to reasonably increase patient privacy. It performs well for highly sensitive PHI categories that are rarely used in research, but still shows possible areas for improvement. More development for patterns of text and linked demographic tables from electronic health records (EHRs) would improve the program so that more precise identifiable information can be removed. PHI Hunter is an accessible tool that can flexibly remove PHI not needed for research. If it can be tailored to the specific data set via linked demographic tables, its performance will improve in each new document set.

  15. Balanced bilinguals favor lexical processing in their opaque language and conversion system in their shallow language

    OpenAIRE

    Buetler, Karin A.; Rodríguez, Diego de León; Laganaro, Marina; Müri, René; Nyffeler, Thomas; Spierer, Lucas; Annoni, Jean-Marie

    2016-01-01

    Referred to as orthographic depth, the degree of consistency of grapheme/phoneme correspondences varies across languages from high in shallow orthographies to low in deep orthographies. The present study investigates the impact of orthographic depth on reading route by analyzing evoked potentials to words in a deep (French) and shallow (German) language presented to highly proficient bilinguals. ERP analyses to German and French words revealed significant topographic modulations 240–280 ms po...

  16. Word Order Processing in a Second Language: From VO to OV

    Science.gov (United States)

    Erdocia, Kepa; Zawiszewski, Adam; Laka, Itziar

    2014-01-01

    Event-related potential studies on second language processing reveal that L1/L2 differences are due either to proficiency, age of acquisition or grammatical differences between L1 and L2 (Kotz in "Brain Lang" 109(2-3):68-74, 2009). However, the relative impact of these and other factors in second language processing is still not well…

  17. Decision Making Strategy and the Simultaneous Processing of Syntactic Dependencies in Language and Music

    NARCIS (Netherlands)

    Roncaglia-Denissen, M.P.; Bouwer, F.L.; Honing, H.

    2018-01-01

    Despite differences in their function and domain-specific elements, syntactic processing in music and language is believed to share cognitive resources. This study aims to investigate whether the simultaneous processing of language and music share the use of a common syntactic processor or more

  18. Enablers and Inhibitors to English Language Learners' Research Process in a High School Setting

    Science.gov (United States)

    Kim, Sung Un

    2015-01-01

    This researcher sought to examine enablers and inhibitors to English language learner (ELL) students' research process within the framework of Carol C. Kuhlthau's Information Search Process (ISP). At a high school forty-eight ELL students in three classes, an English as a Second Language (ESL) teacher, and a biology teacher participated in the…

  19. Comparison of the recovery patterns of language and cognitive functions in patients with post-traumatic language processing deficits and in patients with aphasia following a stroke.

    Science.gov (United States)

    Vukovic, Mile; Vuksanovic, Jasmina; Vukovic, Irena

    2008-01-01

    In this study we investigated the recovery patterns of language and cognitive functions in patients with post-traumatic language processing deficits and in patients with aphasia following a stroke. The correlation of specific language functions and cognitive functions was analyzed in the acute phase and 6 months later. Significant recovery of the tested functions was observed in both groups. However, in patients with post-traumatic language processing deficits the degree of recovery of most language functions and some cognitive functions was higher. A significantly greater correlation was revealed within language and cognitive functions, as well as between language functions and other aspects of cognition in patients with post-traumatic language processing deficits than in patients with aphasia following a stroke. Our results show that patients with post-traumatic language processing deficits have a different recovery pattern and a different pattern of correlation between language and cognitive functions compared to patients with aphasia following a stroke. (1) Better understanding of the differences in recovery of language and cognitive functions in patients who have suffered strokes and those who have experienced traumatic brain injury. (2) Better understanding of the relationship between language and cognitive functions in patients with post-traumatic language processing deficits and in patients with aphasia following a stroke. (3) Better understanding of the factors influencing recovery.

  20. Natural-language processing applied to an ITS interface

    OpenAIRE

    Antonio Gisolfi; Enrico Fischetti

    1994-01-01

    The aim of this paper is to show that with a subset of a natural language, simple systems running on PCs can be developed that can nevertheless be an effective tool for interfacing purposes in the building of an Intelligent Tutoring System (ITS). After presenting the special characteristics of the Smalltalk/V language, which provides an appropriate environment for the development of an interface, the overall architecture of the interface module is discussed. We then show how sentences are par...

  1. How do German bilingual schoolchildren process German prepositions? – A study on language-motor interactions

    Science.gov (United States)

    Bischoff, Heike; Strozyk, Jessica Vanessa; Bryant, Doreen; Kaup, Barbara

    2018-01-01

    While much support is found for embodied language processing in a first language (L1), evidence for embodiment in second language (L2) processing is rather sparse. In a recent study, we found support for L2 embodiment, but also an influence of L1 on L2 processing in adult learners. In the present study, we compared bilingual schoolchildren who speak German as one of their languages with monolingual German schoolchildren. We presented the German prepositions auf (on), über (above), and unter (under) in a Stroop-like task. Upward or downward responses were made depending on the font colour, resulting in compatible and incompatible trials. We found compatibility effects for all children, but in contrast to the adult sample, there were no processing differences between the children depending on the nature of their other language, suggesting that the processing of German prepositions of bilingual children is embodied in a similar way as in monolingual German children. PMID:29538404

  2. How do German bilingual schoolchildren process German prepositions? - A study on language-motor interactions.

    Science.gov (United States)

    Ahlberg, Daniela Katharina; Bischoff, Heike; Strozyk, Jessica Vanessa; Bryant, Doreen; Kaup, Barbara

    2018-01-01

    While much support is found for embodied language processing in a first language (L1), evidence for embodiment in second language (L2) processing is rather sparse. In a recent study, we found support for L2 embodiment, but also an influence of L1 on L2 processing in adult learners. In the present study, we compared bilingual schoolchildren who speak German as one of their languages with monolingual German schoolchildren. We presented the German prepositions auf (on), über (above), and unter (under) in a Stroop-like task. Upward or downward responses were made depending on the font colour, resulting in compatible and incompatible trials. We found compatibility effects for all children, but in contrast to the adult sample, there were no processing differences between the children depending on the nature of their other language, suggesting that the processing of German prepositions of bilingual children is embodied in a similar way as in monolingual German children.

  3. Natural language processing in an intelligent writing strategy tutoring system.

    Science.gov (United States)

    McNamara, Danielle S; Crossley, Scott A; Roscoe, Rod

    2013-06-01

    The Writing Pal is an intelligent tutoring system that provides writing strategy training. A large part of its artificial intelligence resides in the natural language processing algorithms to assess essay quality and guide feedback to students. Because writing is often highly nuanced and subjective, the development of these algorithms must consider a broad array of linguistic, rhetorical, and contextual features. This study assesses the potential for computational indices to predict human ratings of essay quality. Past studies have demonstrated that linguistic indices related to lexical diversity, word frequency, and syntactic complexity are significant predictors of human judgments of essay quality but that indices of cohesion are not. The present study extends prior work by including a larger data sample and an expanded set of indices to assess new lexical, syntactic, cohesion, rhetorical, and reading ease indices. Three models were assessed. The model reported by McNamara, Crossley, and McCarthy (Written Communication 27:57-86, 2010) including three indices of lexical diversity, word frequency, and syntactic complexity accounted for only 6% of the variance in the larger data set. A regression model including the full set of indices examined in prior studies of writing predicted 38% of the variance in human scores of essay quality with 91% adjacent accuracy (i.e., within 1 point). A regression model that also included new indices related to rhetoric and cohesion predicted 44% of the variance with 94% adjacent accuracy. The new indices increased accuracy but, more importantly, afford the means to provide more meaningful feedback in the context of a writing tutoring system.

  4. The emotional impact of being myself: Emotions and foreign-language processing.

    Science.gov (United States)

    Ivaz, Lela; Costa, Albert; Duñabeitia, Jon Andoni

    2016-03-01

    Native languages are acquired in emotionally rich contexts, whereas foreign languages are typically acquired in emotionally neutral academic environments. As a consequence of this difference, it has been suggested that bilinguals' emotional reactivity in foreign-language contexts is reduced as compared with native language contexts. In the current study, we investigated whether this emotional distance associated with foreign languages could modulate automatic responses to self-related linguistic stimuli. Self-related stimuli enhance performance by boosting memory, speed, and accuracy as compared with stimuli unrelated to the self (the so-called self-bias effect). We explored whether this effect depends on the language context by comparing self-biases in a native and a foreign language. Two experiments were conducted with native Spanish speakers with a high level of English proficiency in which they were asked to complete a perceptual matching task during which they associated simple geometric shapes (circles, squares, and triangles) with the labels "you," "friend," and "other" either in their native or foreign language. Results showed a robust asymmetry in the self-bias in the native- and foreign-language contexts: A larger self-bias was found in the native than in the foreign language. An additional control experiment demonstrated that the same materials administered to a group of native English speakers yielded robust self-bias effects that were comparable in magnitude to the ones obtained with the Spanish speakers when tested in their native language (but not in their foreign language). We suggest that the emotional distance evoked by the foreign-language contexts caused these differential effects across language contexts. These results demonstrate that the foreign-language effects are pervasive enough to affect automatic stages of emotional processing. (c) 2016 APA, all rights reserved).

  5. Similar and/or Different Writing Processes? A Study of Spanish Foreign Language and Heritage Language Learners

    Science.gov (United States)

    Elola, Idoia; Mikulski, Ariana M.

    2016-01-01

    Following a cognitively-oriented framework, this study builds upon the authors' previous work (Elola and Mikulski 2013; Mikulski and Elola 2011), which analyzed writing processes (planning time, execution time, revision time), fluency, and accuracy of Spanish heritage language (SHL) learners when composing in English and in Spanish. By analyzing…

  6. The sign language skills classroom observation: a process for describing sign language proficiency in classroom settings.

    Science.gov (United States)

    Reeves, J B; Newell, W; Holcomb, B R; Stinson, M

    2000-10-01

    In collaboration with teachers and students at the National Technical Institute for the Deaf (NTID), the Sign Language Skills Classroom Observation (SLSCO) was designed to provide feedback to teachers on their sign language communication skills in the classroom. In the present article, the impetus and rationale for development of the SLSCO is discussed. Previous studies related to classroom signing and observation methodology are reviewed. The procedure for developing the SLSCO is then described. This procedure included (a) interviews with faculty and students at NTID, (b) identification of linguistic features of sign language important for conveying content to deaf students, (c) development of forms for recording observations of classroom signing, (d) analysis of use of the forms, (e) development of a protocol for conducting the SLSCO, and (f) piloting of the SLSCO in classrooms. The results of use of the SLSCO with NTID faculty during a trial year are summarized.

  7. Sign language processing and the mirror neuron system.

    Science.gov (United States)

    Corina, David P; Knapp, Heather

    2006-05-01

    In this paper we review evidence for frontal and parietal lobe involvement in sign language comprehension and production, and evaluate the extent to which these data can be interpreted within the context of a mirror neuron system for human action observation and execution. We present data from three literatures--aphasia, cortical stimulation, and functional neuroimaging. Generally, we find support for the idea that sign language comprehension and production can be viewed in the context of a broadly-construed frontal-parietal human action observation/execution system. However, sign language data cannot be fully accounted for under a strict interpretation of the mirror neuron system. Additionally, we raise a number of issues concerning the lack of specificity in current accounts of the human action observation/execution system.

  8. Laying the groundwork for enterprise-wide medical language processing services: architecture and process.

    Science.gov (United States)

    Chen, Elizabeth S; Maloney, Francine L; Shilmayster, Eugene; Goldberg, Howard S

    2009-11-14

    A systematic and standard process for capturing information within free-text clinical documents could facilitate opportunities for improving quality and safety of patient care, enhancing decision support, and advancing data warehousing across an enterprise setting. At Partners HealthCare System, the Medical Language Processing (MLP) services project was initiated to establish a component-based architectural model and processes to facilitate putting MLP functionality into production for enterprise consumption, promote sharing of components, and encourage reuse. Key objectives included exploring the use of an open-source framework called the Unstructured Information Management Architecture (UIMA) and leveraging existing MLP-related efforts, terminology, and document standards. This paper describes early experiences in defining the infrastructure and standards for extracting, encoding, and structuring clinical observations from a variety of clinical documents to serve enterprise-wide needs.

  9. Fusion methodologies in crisis management higher level fusion and decision making

    CERN Document Server

    Scott, Peter

    2016-01-01

    This book emphasizes a contemporary view on the role of higher level fusion in designing crisis management systems. It provides the formal foundations, architecture, and implementation strategies required for building dynamic current and future situational pictures. It goes on to discuss the state-of-the-art computational approaches to designing such processes and their inherent challenges. This book integrates recent advances in decision theory with those in fusion methodology to define an end-to-end framework for decision support in crisis management. The text discusses modern fusion and decision support methods for dealing with heterogeneous and often unreliable, low fidelity, contradictory, and redundant data and information, as well as rare, unknown, unconventional or even unimaginable critical situations. The book also examines the role of context in situation management, cognitive aspects of decision making and situation management, approaches to domain representation, visualization, as well as the rol...

  10. Interaction of language processing and motor skill in children with specific language impairment.

    Science.gov (United States)

    DiDonato Brumbach, Andrea C; Goffman, Lisa

    2014-02-01

    To examine how language production interacts with speech motor and gross and fine motor skill in children with specific language impairment (SLI). Eleven children with SLI and 12 age-matched peers (4-6 years) produced structurally primed sentences containing particles and prepositions. Utterances were analyzed for errors and for articulatory duration and variability. Standard measures of motor, language, and articulation skill were also obtained. Sentences containing particles, as compared with prepositions, were less likely to be produced in a priming task and were longer in duration, suggesting increased difficulty with this syntactic structure. Children with SLI demonstrated higher articulatory variability and poorer gross and fine motor skills compared with aged-matched controls. Articulatory variability was correlated with generalized gross and fine motor performance. Children with SLI show co-occurring speech motor and generalized motor deficits. Current theories do not fully account for the present findings, though the procedural deficit hypothesis provides a framework for interpreting overlap among language and motor domains.

  11. Comparison of the Recovery Patterns of Language and Cognitive Functions in Patients with Post-Traumatic Language Processing Deficits and in Patients with Aphasia Following a Stroke

    Science.gov (United States)

    Vukovic, Mile; Vuksanovic, Jasmina; Vukovic, Irena

    2008-01-01

    In this study we investigated the recovery patterns of language and cognitive functions in patients with post-traumatic language processing deficits and in patients with aphasia following a stroke. The correlation of specific language functions and cognitive functions was analyzed in the acute phase and 6 months later. Significant recovery of the…

  12. Gender and Agreement Processing in Children with Developmental Language Disorder

    Science.gov (United States)

    Rakhlin, Natalia; Kornilov, Sergey A.; Grigorenko, Elena L.

    2014-01-01

    Two experiments tested whether Russian-speaking children with Developmental Language Disorder (DLD) are sensitive to gender agreement when performing a gender decision task. In Experiment 1, the presence of overt gender agreement between verbs and/or adjectival modifiers and postverbal subject nouns memory was varied. In Experiment 2, agreement…

  13. Article Omission in Headlines and Child Language: A Processing Approach

    NARCIS (Netherlands)

    de Lange, J.

    2008-01-01

    The results of the crosslinguistic (Dutch, Italian and German) database analysis and experiments presented in my study show that there are interesting similarities between the pattern of article omission by adults in newspaper headlines and the pattern of article omission observed in language

  14. Exploring Flipped Classroom Effects on Second Language Learners' Cognitive Processing

    Science.gov (United States)

    Kim, Jeong-eun; Park, Hyunjin; Jang, Mijung; Nam, Hosung

    2017-01-01

    This study investigated the cognitive effects of the flipped classroom approach in a content-based instructional context by comparing second language learners' discourse in flipped vs. traditional classrooms in terms of (1) participation rate, (2) content of comments, (3) reasoning skills, and (4) interactional patterns. Learners in two intact…

  15. Sex Differences in Neural Processing of Language among Children

    Science.gov (United States)

    Burman, Douglas D.; Bitan, Tali; Booth, James R.

    2008-01-01

    Why females generally perform better on language tasks than males is unknown. Sex differences were here identified in children (ages 9-15) across two linguistic tasks for words presented in two modalities. Bilateral activation in the inferior frontal and superior temporal gyri and activation in the left fusiform gyrus of girls was greater than in…

  16. Sentence processing in an artificial language: Learning and using combinatorial constraints.

    Science.gov (United States)

    Amato, Michael S; MacDonald, Maryellen C

    2010-07-01

    A study combining artificial grammar and sentence comprehension methods investigated the learning and online use of probabilistic, nonadjacent combinatorial constraints. Participants learned a small artificial language describing cartoon monsters acting on objects. Self-paced reading of sentences in the artificial language revealed comprehenders' sensitivity to nonadjacent combinatorial constraints, without explicit awareness of the probabilities embedded in the language. These results show that even newly-learned constraints have an identifiable effect on online sentence processing. The rapidity of learning in this paradigm relative to others has implications for theories of implicit learning and its role in language acquisition. 2010 Elsevier B.V. All rights reserved.

  17. Language-invariant verb processing regions in Spanish-English bilinguals.

    Science.gov (United States)

    Willms, Joanna L; Shapiro, Kevin A; Peelen, Marius V; Pajtas, Petra E; Costa, Albert; Moo, Lauren R; Caramazza, Alfonso

    2011-07-01

    Nouns and verbs are fundamental grammatical building blocks of all languages. Studies of brain-damaged patients and healthy individuals have demonstrated that verb processing can be dissociated from noun processing at a neuroanatomical level. In cases where bilingual patients have a noun or verb deficit, the deficit has been observed in both languages. This suggests that the noun-verb distinction may be based on neural components that are common across languages. Here we investigated the cortical organization of grammatical categories in healthy, early Spanish-English bilinguals using functional magnetic resonance imaging (fMRI) in a morphophonological alternation task. Four regions showed greater activity for verbs than for nouns in both languages: left posterior middle temporal gyrus (LMTG), left middle frontal gyrus (LMFG), pre-supplementary motor area (pre-SMA), and right middle occipital gyrus (RMOG); no regions showed greater activation for nouns. Multi-voxel pattern analysis within verb-specific regions showed indistinguishable activity patterns for English and Spanish, indicating language-invariant bilingual processing. In LMTG and LMFG, patterns were more similar within than across grammatical category, both within and across languages, indicating language-invariant grammatical class information. These results suggest that the neural substrates underlying verb-specific processing are largely independent of language in bilinguals, both at the macroscopic neuroanatomical level and at the level of voxel activity patterns. Copyright © 2011 Elsevier Inc. All rights reserved.

  18. A Dual Coding Model of Processing Chinese as a Second Language: A Cognitive-Load Approach

    Science.gov (United States)

    Sham, Diana Po Lan

    2002-01-01

    The research was conducted in Sydney and Hong Kong using students, from grades 5 to 9, whose first language or teaching medium was English, learning to read Chinese as second language. According to cognitive load theory, the processing of single Chinese characters accompanied by pictures should impose extraneous cognitive load and thus hinders…

  19. Enculturating Seamless Language Learning through Artifact Creation and Social Interaction Process

    Science.gov (United States)

    Wong, Lung-Hsiang; Chai, Ching Sing; Aw, Guat Poh; King, Ronnel B.

    2015-01-01

    This paper reports a design-based research (DBR) cycle of MyCLOUD (My Chinese ubiquitOUs learning Days). MyCLOUD is a seamless language learning model that addresses identified limitations of conventional Chinese language teaching, such as the decontextualized and unauthentic learning processes that usually hinder reflection and deep learning.…

  20. Interdisciplinary and Intercultural Differences in Learning Strategy Use: Implications for Language Processing, Curriculum and Instruction

    Science.gov (United States)

    Shawer, Saad F.

    2012-01-01

    This investigation examines English as foreign language college interdisciplinary and intercultural differences in learning strategy use and their implications for language processing. Positivism underpins this research at the levels of ontology (standardized variables), epistemology (detachment from the subjects) and methodology, using nomothetic…

  1. Modeling the Process of Summary Writing of Chinese Learners of English as a Foreign Language

    Science.gov (United States)

    Li, Jiuliang

    2016-01-01

    In language learning contexts, writing tasks that involve reading of source texts are often used to elicit more authentic integrative language use. Thus, interests in researching these read-to-write tasks in general and as assessment tasks keep growing. This study examined and modeled the process of summary writing as a read-to-write integrated…

  2. Hierarchical programming language for modal multi-rate real-time stream processing applications

    NARCIS (Netherlands)

    Geuns, S.J.; Hausmans, J.P.H.M.; Bekooij, Marco Jan Gerrit

    2014-01-01

    Modal multi-rate stream processing applications with real-time constraints which are executed on multi-core embedded systems often cannot be conveniently specified using current programming languages. An important issue is that sequential programming languages do not allow for convenient programming

  3. Applying pause analysis to explore cognitive processes in the copying of sentences by second language users

    OpenAIRE

    Zulkifli, Putri Afzan Maria Binti

    2013-01-01

    Pause analysis is a method that investigates processes of writing by measuring the amount of time between pen strokes. It provides the field of second language studies with a means to explore the cognitive processes underpinning the nature of writing. This study examined the potential of using free handwritten copying of sentences as a means of investigating components of the cognitive processes of adults who have English as their Second Language (ESL).\\ud \\ud A series of one pilot and three ...

  4. Integrating deep and shallow natural language processing components : representations and hybrid architectures

    OpenAIRE

    Schäfer, Ulrich

    2006-01-01

    We describe basic concepts and software architectures for the integration of shallow and deep (linguistics-based, semantics-oriented) natural language processing (NLP) components. The main goal of this novel, hybrid integration paradigm is improving robustness of deep processing. After an introduction to constraint-based natural language parsing, we give an overview of typical shallow processing tasks. We introduce XML standoff markup as an additional abstraction layer that eases integration ...

  5. Congenital Amusia (or Tone-Deafness) Interferes with Pitch Processing in Tone Languages

    OpenAIRE

    Tillmann, Barbara; Burnham, Denis; Nguyen, Sebastien; Grimault, Nicolas; Gosselin, Nathalie; Peretz, Isabelle

    2011-01-01

    Congenital amusia is a neurogenetic disorder that affects music processing and that is ascribed to a deficit in pitch processing. We investigated whether this deficit extended to pitch processing in speech, notably the pitch changes used to contrast lexical tones in tonal languages. Congenital amusics and matched controls, all non-tonal language speakers, were tested for lexical tone discrimination in Mandarin Chinese (Experiment 1) and in Thai (Experiment 2). Tones were presented in pairs an...

  6. Applications Associated With Morphological Analysis And Generation In Natural Language Processing

    Directory of Open Access Journals (Sweden)

    Neha Yadav

    2017-08-01

    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.

  7. Data structures and languages in support of parallel image processing for astronomy

    International Nuclear Information System (INIS)

    Tanimoto, S.L.

    1985-01-01

    This paper discusses data structures, and aspects of programming languages and systems that are relevant to image processing of astronomy data. Emphasis is on image processing computations, because this kind of data processing is obviously a ripe one for parallelism and is important in astronomy. However, some discussion of general possibilities are also presented. The role of algorithms is examined since they are not dependent on a particular language. As an implementation of an algorithm a program is equally tied to data structure, operations, architecture and language, and therefore the issue of programming resides in the center of the tetrahedron

  8. Egyptian greenhouse cultivation at a higher level with Dutch Technology ; Annual Report 2013

    NARCIS (Netherlands)

    Elings, A.; Helm, van der F.P.M.; Blok, C.; Meijer, R.J.M.; Lahiani, Y.; Janmaat, A.; Zaki, M.; Hassan, H.

    2014-01-01

    The project ‘Egyptian greenhouse cultivation at a higher level with Dutch technology’ is co-funded under the Top Sector Programme Horticulture and Starting Materials. The project wants to realizes through the use of Dutch technology a higher level of sustainability of Egyptian protected cultivation,

  9. Natural-language processing applied to an ITS interface

    Directory of Open Access Journals (Sweden)

    Antonio Gisolfi

    1994-12-01

    Full Text Available The aim of this paper is to show that with a subset of a natural language, simple systems running on PCs can be developed that can nevertheless be an effective tool for interfacing purposes in the building of an Intelligent Tutoring System (ITS. After presenting the special characteristics of the Smalltalk/V language, which provides an appropriate environment for the development of an interface, the overall architecture of the interface module is discussed. We then show how sentences are parsed by the interface, and how interaction takes place with the user. The knowledge-acquisition phase is subsequently described. Finally, some excerpts from a tutoring session concerned with elementary geometry are discussed, and some of the problems and limitations of the approach are illustrated.

  10. A Transcription Scheme for Languages Employing the Arabic Script Motivated by Speech Processing Application

    National Research Council Canada - National Science Library

    Ganjavi, Shadi; Georgiou, Panayiotis G; Narayanan, Shrikanth

    2004-01-01

    ... (The DARPA Babylon Program; Narayanan, 2003). In this paper, we discuss transcription systems needed for automated spoken language processing applications in Persian that uses the Arabic script for writing...

  11. Turn-taking in Human Communication--Origins and Implications for Language Processing.

    Science.gov (United States)

    Levinson, Stephen C

    2016-01-01

    Most language usage is interactive, involving rapid turn-taking. The turn-taking system has a number of striking properties: turns are short and responses are remarkably rapid, but turns are of varying length and often of very complex construction such that the underlying cognitive processing is highly compressed. Although neglected in cognitive science, the system has deep implications for language processing and acquisition that are only now becoming clear. Appearing earlier in ontogeny than linguistic competence, it is also found across all the major primate clades. This suggests a possible phylogenetic continuity, which may provide key insights into language evolution. Copyright © 2015 Elsevier Ltd. All rights reserved.

  12. Proposal of Instruction Process for Improvement of Language Activities in Technology Education Course

    OpenAIRE

    山本, 智広; 山本, 利一

    2012-01-01

    This study is a proposal of instruction process for improvement of language activities in the technology education course in the junior high school in Japan. In this study, two efforts were carried out for the technology concerning material and processing. The first effort was the extraction of the learning situations that develop abilities of thinking, judgment and expression through language activities peculiar to the technology education course. The second effort was the verification o...

  13. Decision Making Strategy and the Simultaneous Processing of Syntactic Dependencies in Language and Music

    OpenAIRE

    Roncaglia-Denissen, M. P.; Bouwer, Fleur L.; Honing, Henkjan

    2018-01-01

    Despite differences in their function and domain-specific elements, syntactic processing in music and language is believed to share cognitive resources. This study aims to investigate whether the simultaneous processing of language and music share the use of a common syntactic processor or more general attentional resources. To investigate this matter we tested musicians and non-musicians using visually presented sentences and aurally presented melodies containing syntactic local and long-dis...

  14. Self-Repair and Language Selection in Bilingual Speech Processing

    Directory of Open Access Journals (Sweden)

    Inga Hennecke

    2013-07-01

    Full Text Available In psycholinguistic research the exact level of language selection in bilingual lexical access is still controversial and current models of bilingual speech production offer conflicting statements about the mechanisms and location of language selection. This paper aims to provide a corpus analysis of self-repair mechanisms in code-switching contexts of highly fluent bilingual speakers in order to gain further insights into bilingual speech production. The present paper follows the assumptions of the Selection by Proficiency model, which claims that language proficiency and lexical robustness determine the mechanism and level of language selection. In accordance with this hypothesis, highly fluent bilinguals select languages at a prelexical level, which should influence the occurrence of self-repairs in bilingual speech. A corpus of natural speech data of highly fluent and balanced bilingual French-English speakers of the Canadian French variety Franco-Manitoban serves as the basis for a detailed analysis of different self-repair mechanisms in code-switching environments. Although the speech data contain a large amount of code-switching, results reveal that only a few speech errors and self-repairs occur in direct code-switching environments. A detailed analysis of the respective starting point of code-switching and the different repair mechanisms supports the hypothesis that highly proficient bilinguals do not select languages at the lexical level.Le niveau exact de la sélection des langues lors de l’accès lexical chez le bilingue reste une question controversée dans la recherche psycholinguistique. Les modèles actuels de la production verbale bilingue proposent des arguments contradictoires concernant le mécanisme et le lieu de la sélection des langues. La présente recherche vise à fournir une analyse de corpus mettant l’accent sur les mécanismes d’autoréparation dans le contexte d’alternance codique dans la production verbale

  15. Decision Making Strategy and the Simultaneous Processing of Syntactic Dependencies in Language and Music.

    Science.gov (United States)

    Roncaglia-Denissen, M P; Bouwer, Fleur L; Honing, Henkjan

    2018-01-01

    Despite differences in their function and domain-specific elements, syntactic processing in music and language is believed to share cognitive resources. This study aims to investigate whether the simultaneous processing of language and music share the use of a common syntactic processor or more general attentional resources. To investigate this matter we tested musicians and non-musicians using visually presented sentences and aurally presented melodies containing syntactic local and long-distance dependencies. Accuracy rates and reaction times of participants' responses were collected. In both sentences and melodies, unexpected syntactic anomalies were introduced. This is the first study to address the processing of local and long-distance dependencies in language and music combined while reducing the effect of sensory memory. Participants were instructed to focus on language (language session), music (music session), or both (dual session). In the language session, musicians and non-musicians performed comparably in terms of accuracy rates and reaction times. As expected, groups' differences appeared in the music session, with musicians being more accurate in their responses than non-musicians and only the latter showing an interaction between the accuracy rates for music and language syntax. In the dual session musicians were overall more accurate than non-musicians. However, both groups showed comparable behavior, by displaying an interaction between the accuracy rates for language and music syntax responses. In our study, accuracy rates seem to better capture the interaction between language and music syntax; and this interaction seems to indicate the use of distinct, however, interacting mechanisms as part of decision making strategy. This interaction seems to be subject of an increase of attentional load and domain proficiency. Our study contributes to the long-lasting debate about the commonalities between language and music by providing evidence for their

  16. Decision Making Strategy and the Simultaneous Processing of Syntactic Dependencies in Language and Music

    Directory of Open Access Journals (Sweden)

    M. P. Roncaglia-Denissen

    2018-01-01

    Full Text Available Despite differences in their function and domain-specific elements, syntactic processing in music and language is believed to share cognitive resources. This study aims to investigate whether the simultaneous processing of language and music share the use of a common syntactic processor or more general attentional resources. To investigate this matter we tested musicians and non-musicians using visually presented sentences and aurally presented melodies containing syntactic local and long-distance dependencies. Accuracy rates and reaction times of participants’ responses were collected. In both sentences and melodies, unexpected syntactic anomalies were introduced. This is the first study to address the processing of local and long-distance dependencies in language and music combined while reducing the effect of sensory memory. Participants were instructed to focus on language (language session, music (music session, or both (dual session. In the language session, musicians and non-musicians performed comparably in terms of accuracy rates and reaction times. As expected, groups’ differences appeared in the music session, with musicians being more accurate in their responses than non-musicians and only the latter showing an interaction between the accuracy rates for music and language syntax. In the dual session musicians were overall more accurate than non-musicians. However, both groups showed comparable behavior, by displaying an interaction between the accuracy rates for language and music syntax responses. In our study, accuracy rates seem to better capture the interaction between language and music syntax; and this interaction seems to indicate the use of distinct, however, interacting mechanisms as part of decision making strategy. This interaction seems to be subject of an increase of attentional load and domain proficiency. Our study contributes to the long-lasting debate about the commonalities between language and music by

  17. Good-enough linguistic representations and online cognitive equilibrium in language processing.

    Science.gov (United States)

    Karimi, Hossein; Ferreira, Fernanda

    2016-01-01

    We review previous research showing that representations formed during language processing are sometimes just "good enough" for the task at hand and propose the "online cognitive equilibrium" hypothesis as the driving force behind the formation of good-enough representations in language processing. Based on this view, we assume that the language comprehension system by default prefers to achieve as early as possible and remain as long as possible in a state of cognitive equilibrium where linguistic representations are successfully incorporated with existing knowledge structures (i.e., schemata) so that a meaningful and coherent overall representation is formed, and uncertainty is resolved or at least minimized. We also argue that the online equilibrium hypothesis is consistent with current theories of language processing, which maintain that linguistic representations are formed through a complex interplay between simple heuristics and deep syntactic algorithms and also theories that hold that linguistic representations are often incomplete and lacking in detail. We also propose a model of language processing that makes use of both heuristic and algorithmic processing, is sensitive to online cognitive equilibrium, and, we argue, is capable of explaining the formation of underspecified representations. We review previous findings providing evidence for underspecification in relation to this hypothesis and the associated language processing model and argue that most of these findings are compatible with them.

  18. Advanced applications of natural language processing for performing information extraction

    CERN Document Server

    Rodrigues, Mário

    2015-01-01

    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...

  19. Early processing of orthographic language membership information in bilingual visual word recognition: Evidence from ERPs.

    Science.gov (United States)

    Hoversten, Liv J; Brothers, Trevor; Swaab, Tamara Y; Traxler, Matthew J

    2017-08-01

    For successful language comprehension, bilinguals often must exert top-down control to access and select lexical representations within a single language. These control processes may critically depend on identification of the language to which a word belongs, but it is currently unclear when different sources of such language membership information become available during word recognition. In the present study, we used event-related potentials to investigate the time course of influence of orthographic language membership cues. Using an oddball detection paradigm, we observed early neural effects of orthographic bias (Spanish vs. English orthography) that preceded effects of lexicality (word vs. pseudoword). This early orthographic pop-out effect was observed for both words and pseudowords, suggesting that this cue is available prior to full lexical access. We discuss the role of orthographic bias for models of bilingual word recognition and its potential role in the suppression of nontarget lexical information. Published by Elsevier Ltd.

  20. Changes in motivational and higher level cognitive processes when interacting with in-vehicle automation

    OpenAIRE

    Beggiato, Matthias

    2014-01-01

    Many functions that at one time could only be performed by humans can nowadays be carried out by machines. Automation impacts many areas of life including work, home, communication and mobility. In the driving context, in-vehicle automation is considered to provide solutions for environmental, economic, safety and societal challenges. However, automation changes the driving task and the human-machine interaction. Thus, the expected benefit of in-vehicle automation can be undermined by changes...

  1. Changes in motivational and higher level cognitive processes when interacting with in-vehicle automation

    OpenAIRE

    Beggiato, Matthias

    2015-01-01

    Many functions that at one time could only be performed by humans can nowadays be carried out by machines. Automation impacts many areas of life including work, home, communication and mobility. In the driving context, in-vehicle automation is considered to provide solutions for environmental, economic, safety and societal challenges. However, automation changes the driving task and the human-machine interaction. Thus, the expected benefit of in-vehicle automation can be undermined by changes...

  2. Proposal for an Object Oriented Process Modeling Language

    OpenAIRE

    Anderl, Reiner; Raßler, Jochen; Malzacher, Jens

    2008-01-01

    Processes are very important for the success within many business fields. They define the proper application of methods, technologies and company structures in order to reach business goals. Not only manufacturing processes have to be defined from the start point to their end, also other processes like product development processes need a proper description to gain success. For example in automotive industries complex product development processes are necessary and defined prior to product de...

  3. Evaluation of the Grammar Teaching Process by Using the Methods Used in Turkish Language Teaching as a Foreign Language: A Case Study

    Science.gov (United States)

    Öztürk, Basak Karakoç

    2018-01-01

    The preferred methods for the success of foreign language teaching and the reflection of these methods on the teaching process are very important. Since approaches and methods in language teaching enable the teacher to use different techniques in his/her lectures, they provide a more effective teaching process. The methodology in teaching the…

  4. The Processing of Biologically Plausible and Implausible forms in American Sign Language: Evidence for Perceptual Tuning.

    Science.gov (United States)

    Almeida, Diogo; Poeppel, David; Corina, David

    The human auditory system distinguishes speech-like information from general auditory signals in a remarkably fast and efficient way. Combining psychophysics and neurophysiology (MEG), we demonstrate a similar result for the processing of visual information used for language communication in users of sign languages. We demonstrate that the earliest visual cortical responses in deaf signers viewing American Sign Language (ASL) signs show specific modulations to violations of anatomic constraints that would make the sign either possible or impossible to articulate. These neural data are accompanied with a significantly increased perceptual sensitivity to the anatomical incongruity. The differential effects in the early visual evoked potentials arguably reflect an expectation-driven assessment of somatic representational integrity, suggesting that language experience and/or auditory deprivation may shape the neuronal mechanisms underlying the analysis of complex human form. The data demonstrate that the perceptual tuning that underlies the discrimination of language and non-language information is not limited to spoken languages but extends to languages expressed in the visual modality.

  5. Higher Levels of Psychopathy Predict Poorer Motor Control: Implications for Understanding the Psychopathy Construct

    OpenAIRE

    Robinson, Michael D.; Bresin, Konrad

    2014-01-01

    A review of the literature suggests that higher levels of psychopathy may be linked to less effective behavioral control. However, several commentators have urged caution in making statements of this type in the absence of direct evidence. In two studies (total N = 142), moment-to-moment accuracy in a motor control task was examined as a function of dimensional variations in psychopathy in an undergraduate population. As hypothesized, motor control was distinctively worse at higher levels of ...

  6. Recommendations for elaboration, transcultural adaptation and validation process of tests in Speech, Hearing and Language Pathology.

    Science.gov (United States)

    Pernambuco, Leandro; Espelt, Albert; Magalhães, Hipólito Virgílio; Lima, Kenio Costa de

    2017-06-08

    to present a guide with recommendations for translation, adaptation, elaboration and process of validation of tests in Speech and Language Pathology. the recommendations were based on international guidelines with a focus on the elaboration, translation, cross-cultural adaptation and validation process of tests. the recommendations were grouped into two Charts, one of them with procedures for translation and transcultural adaptation and the other for obtaining evidence of validity, reliability and measures of accuracy of the tests. a guide with norms for the organization and systematization of the process of elaboration, translation, cross-cultural adaptation and validation process of tests in Speech and Language Pathology was created.

  7. Speech endpoint detection with non-language speech sounds for generic speech processing applications

    Science.gov (United States)

    McClain, Matthew; Romanowski, Brian

    2009-05-01

    Non-language speech sounds (NLSS) are sounds produced by humans that do not carry linguistic information. Examples of these sounds are coughs, clicks, breaths, and filled pauses such as "uh" and "um" in English. NLSS are prominent in conversational speech, but can be a significant source of errors in speech processing applications. Traditionally, these sounds are ignored by speech endpoint detection algorithms, where speech regions are identified in the audio signal prior to processing. The ability to filter NLSS as a pre-processing step can significantly enhance the performance of many speech processing applications, such as speaker identification, language identification, and automatic speech recognition. In order to be used in all such applications, NLSS detection must be performed without the use of language models that provide knowledge of the phonology and lexical structure of speech. This is especially relevant to situations where the languages used in the audio are not known apriori. We present the results of preliminary experiments using data from American and British English speakers, in which segments of audio are classified as language speech sounds (LSS) or NLSS using a set of acoustic features designed for language-agnostic NLSS detection and a hidden-Markov model (HMM) to model speech generation. The results of these experiments indicate that the features and model used are capable of detection certain types of NLSS, such as breaths and clicks, while detection of other types of NLSS such as filled pauses will require future research.

  8. When words fail us: insights into language processing from developmental and acquired disorders.

    Science.gov (United States)

    Bishop, Dorothy V M; Nation, Kate; Patterson, Karalyn

    2014-01-01

    Acquired disorders of language represent loss of previously acquired skills, usually with relatively specific impairments. In children with developmental disorders of language, we may also see selective impairment in some skills; but in this case, the acquisition of language or literacy is affected from the outset. Because systems for processing spoken and written language change as they develop, we should beware of drawing too close a parallel between developmental and acquired disorders. Nevertheless, comparisons between the two may yield new insights. A key feature of connectionist models simulating acquired disorders is the interaction of components of language processing with each other and with other cognitive domains. This kind of model might help make sense of patterns of comorbidity in developmental disorders. Meanwhile, the study of developmental disorders emphasizes learning and change in underlying representations, allowing us to study how heterogeneity in cognitive profile may relate not just to neurobiology but also to experience. Children with persistent language difficulties pose challenges both to our efforts at intervention and to theories of learning of written and spoken language. Future attention to learning in individuals with developmental and acquired disorders could be of both theoretical and applied value.

  9. Cognitive processes and neural basis of language switching: proposal of a new model.

    Science.gov (United States)

    Moritz-Gasser, Sylvie; Duffau, Hugues

    2009-12-09

    Although studies on bilingualism are abundant, cognitive processes and neural foundations of language switching received less attention. The aim of our study is to provide new insights to this still open question: do dedicated region(s) for language switching exist or is this function underlain by a distributed circuit of interconnected brain areas, part of a more general cognitive system? On the basis of recent behavioral, neuroimaging, and brain stimulation studies, we propose an original 'hodological' model of language switching. This process might be subserved by a large-scale cortico-subcortical network, with an executive system (prefrontal cortex, anterior cingulum, caudate nucleus) controlling a more dedicated language subcircuit, which involves postero-temporal areas, supramarginal and angular gyri, Broca's area, and the superior longitudinal fasciculus.

  10. Squeezing through the Now-or-Never bottleneck: Reconnecting language processing, acquisition, change, and structure.

    Science.gov (United States)

    Chater, Nick; Christiansen, Morten H

    2016-01-01

    If human language must be squeezed through a narrow cognitive bottleneck, what are the implications for language processing, acquisition, change, and structure? In our target article, we suggested that the implications are far-reaching and form the basis of an integrated account of many apparently unconnected aspects of language and language processing, as well as suggesting revision of many existing theoretical accounts. With some exceptions, commentators were generally supportive both of the existence of the bottleneck and its potential implications. Many commentators suggested additional theoretical and linguistic nuances and extensions, links with prior work, and relevant computational and neuroscientific considerations; some argued for related but distinct viewpoints; a few, though, felt traditional perspectives were being abandoned too readily. Our response attempts to build on the many suggestions raised by the commentators and to engage constructively with challenges to our approach.

  11. Natural language processing using online analytic processing for assessing recommendations in radiology reports.

    Science.gov (United States)

    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

    2008-03-01

    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.

  12. Cochlear implants and spoken language processing abilities: Review and assessment of the literature

    OpenAIRE

    Peterson, Nathaniel R.; Pisoni, David B.; Miyamoto, Richard T.

    2010-01-01

    Cochlear implants (CIs) process sounds electronically and then transmit electric stimulation to the cochlea of individuals with sensorineural deafness, restoring some sensation of auditory perception. Many congenitally deaf CI recipients achieve a high degree of accuracy in speech perception and develop near-normal language skills. Post-lingually deafened implant recipients often regain the ability to understand and use spoken language with or without the aid of visual input (i.e. lip reading...

  13. The neurophysiology of language processing shapes the evolution of grammar: evidence from case marking.

    Science.gov (United States)

    Bickel, Balthasar; Witzlack-Makarevich, Alena; Choudhary, Kamal K; Schlesewsky, Matthias; Bornkessel-Schlesewsky, Ina

    2015-01-01

    Do principles of language processing in the brain affect the way grammar evolves over time or is language change just a matter of socio-historical contingency? While the balance of evidence has been ambiguous and controversial, we identify here a neurophysiological constraint on the processing of language that has a systematic effect on the evolution of how noun phrases are marked by case (i.e. by such contrasts as between the English base form she and the object form her). In neurophysiological experiments across diverse languages we found that during processing, participants initially interpret the first base-form noun phrase they hear (e.g. she…) as an agent (which would fit a continuation like … greeted him), even when the sentence later requires the interpretation of a patient role (as in … was greeted). We show that this processing principle is also operative in Hindi, a language where initial base-form noun phrases most commonly denote patients because many agents receive a special case marker ("ergative") and are often left out in discourse. This finding suggests that the principle is species-wide and independent of the structural affordances of specific languages. As such, the principle favors the development and maintenance of case-marking systems that equate base-form cases with agents rather than with patients. We confirm this evolutionary bias by statistical analyses of phylogenetic signals in over 600 languages worldwide, controlling for confounding effects from language contact. Our findings suggest that at least one core property of grammar systematically adapts in its evolution to the neurophysiological conditions of the brain, independently of socio-historical factors. This opens up new avenues for understanding how specific properties of grammar have developed in tight interaction with the biological evolution of our species.

  14. Confusing similar words: ERP correlates of lexical-semantic processing in first language attrition and late second language acquisition.

    Science.gov (United States)

    Kasparian, Kristina; Steinhauer, Karsten

    2016-12-01

    First language (L1) attrition is a socio-linguistic circumstance where second language (L2) learning coincides with changes in exposure and use of the native-L1. Attriters often report experiencing a decline in automaticity or proficiency in their L1 after a prolonged period in the L2 environment, while their L2 proficiency continues to strengthen. Investigating the neurocognitive correlates of attrition alongside those of late L2 acquisition addresses the question of whether the brain mechanisms underlying both L1 and L2 processing are strongly determined by proficiency, irrespective of whether the language was acquired from birth or in adulthood. Using event-related-potentials (ERPs), we examined lexical-semantic processing in Italian L1 attriters, compared to adult Italian L2 learners and to Italian monolingual native speakers. We contrasted the processing of classical lexical-semantic violations (Mismatch condition) with sentences that were equally semantically implausible but arguably trickier, as the target-noun was "swapped" with an orthographic neighbor that differed only in its final vowel and gender-marking morpheme (e.g., cappello (hat) vs. cappella (chapel)). Our aim was to determine whether sentences with such "confusable nouns" (Swap condition) would be processed as semantically correct by late L2 learners and L1 attriters, especially for those individuals with lower Italian proficiency scores. We found that lower-proficiency Italian speakers did not show significant N400 effects for Swap violations relative to correct sentences, regardless of whether Italian was the L1 or the L2. Crucially, N400 response profiles followed a continuum of "nativelikeness" predicted by Italian proficiency scores - high-proficiency attriters and high-proficiency Italian learners were indistinguishable from native controls, whereas attriters and L2 learners in the lower-proficiency range showed significantly reduced N400 effects for "Swap" errors. Importantly, attriters

  15. A brief description and comparison of programming languages FORTRAN, ALGOL, COBOL, PL/1, and LISP 1.5 from a critical standpoint

    Science.gov (United States)

    Mathur, F. P.

    1972-01-01

    Several common higher level program languages are described. FORTRAN, ALGOL, COBOL, PL/1, and LISP 1.5 are summarized and compared. FORTRAN is the most widely used scientific programming language. ALGOL is a more powerful language for scientific programming. COBOL is used for most commercial programming applications. LISP 1.5 is primarily a list-processing language. PL/1 attempts to combine the desirable features of FORTRAN, ALGOL, and COBOL into a single language.

  16. Delayed Anticipatory Spoken Language Processing in Adults with Dyslexia—Evidence from Eye-tracking.

    Science.gov (United States)

    Huettig, Falk; Brouwer, Susanne

    2015-05-01

    It is now well established that anticipation of upcoming input is a key characteristic of spoken language comprehension. It has also frequently been observed that literacy influences spoken language processing. Here, we investigated whether anticipatory spoken language processing is related to individuals' word reading abilities. Dutch adults with dyslexia and a control group participated in two eye-tracking experiments. Experiment 1 was conducted to assess whether adults with dyslexia show the typical language-mediated eye gaze patterns. Eye movements of both adults with and without dyslexia closely replicated earlier research: spoken language is used to direct attention to relevant objects in the environment in a closely time-locked manner. In Experiment 2, participants received instructions (e.g., 'Kijk naar de(COM) afgebeelde piano(COM)', look at the displayed piano) while viewing four objects. Articles (Dutch 'het' or 'de') were gender marked such that the article agreed in gender only with the target, and thus, participants could use gender information from the article to predict the target object. The adults with dyslexia anticipated the target objects but much later than the controls. Moreover, participants' word reading scores correlated positively with their anticipatory eye movements. We conclude by discussing the mechanisms by which reading abilities may influence predictive language processing. Copyright © 2015 John Wiley & Sons, Ltd.

  17. Acquiring and processing verb argument structure: distributional learning in a miniature language.

    Science.gov (United States)

    Wonnacott, Elizabeth; Newport, Elissa L; Tanenhaus, Michael K

    2008-05-01

    Adult knowledge of a language involves correctly balancing lexically-based and more language-general patterns. For example, verb argument structures may sometimes readily generalize to new verbs, yet with particular verbs may resist generalization. From the perspective of acquisition, this creates significant learnability problems, with some researchers claiming a crucial role for verb semantics in the determination of when generalization may and may not occur. Similarly, there has been debate regarding how verb-specific and more generalized constraints interact in sentence processing and on the role of semantics in this process. The current work explores these issues using artificial language learning. In three experiments using languages without semantic cues to verb distribution, we demonstrate that learners can acquire both verb-specific and verb-general patterns, based on distributional information in the linguistic input regarding each of the verbs as well as across the language as a whole. As with natural languages, these factors are shown to affect production, judgments and real-time processing. We demonstrate that learners apply a rational procedure in determining their usage of these different input statistics and conclude by suggesting that a Bayesian perspective on statistical learning may be an appropriate framework for capturing our findings.

  18. Knowing what, where, and when: event comprehension in language processing.

    Science.gov (United States)

    Kukona, Anuenue; Altmann, Gerry T M; Kamide, Yuki

    2014-10-01

    We investigated the retrieval of location information, and the deployment of attention to these locations, following (described) event-related location changes. In two visual world experiments, listeners viewed arrays with containers like a bowl, jar, pan, and jug, while hearing sentences like "The boy will pour the sweetcorn from the bowl into the jar, and he will pour the gravy from the pan into the jug. And then, he will taste the sweetcorn". At the discourse-final "sweetcorn", listeners fixated context-relevant "Target" containers most (jar). Crucially, we also observed two forms of competition: listeners fixated containers that were not directly referred to but associated with "sweetcorn" (bowl), and containers that played the same role as Targets (goals of moving events; jug), more than distractors (pan). These results suggest that event-related location changes are encoded across representations that compete for comprehenders' attention, such that listeners retrieve, and fixate, locations that are not referred to in the unfolding language, but related to them via object or role information. Copyright © 2014 Elsevier B.V. All rights reserved.

  19. The influence of bodily experience on children's language processing.

    Science.gov (United States)

    Wellsby, Michele; Pexman, Penny M

    2014-07-01

    The Body-Object Interaction (BOI) variable measures how easily a human body can physically interact with a word's referent (Siakaluk, Pexman, Aguilera, Owen, & Sears, ). A facilitory BOI effect has been observed with adults in language tasks, with faster and more accurate responses for high BOI words (e.g., mask) than for low BOI words (e.g., ship; Wellsby, Siakaluk, Owen, & Pexman, ). We examined the development of this effect in children. Fifty children (aged 6-9 years) and a group of 21 adults completed a word naming task with high and low BOI words. Younger children (aged 6-7 years) did not show a BOI effect, but older children (aged 8-9 years) showed a significant facilitory BOI effect, as did adults. Magnitude of children's BOI effect was related to age as well as reading skills. These results suggest that bodily experience (as measured by the BOI variable) begins to influence visual word recognition behavior by about 8 years of age. Copyright © 2014 Cognitive Science Society, Inc.

  20. A process pattern language for coordinated software development

    NARCIS (Netherlands)

    Amrit, Chintan; ter Haar, René; Aydin, Mehmet N.; Hillegersberg, Jos Van

    2007-01-01

    In distributed and collocated teams we often find problems in the organizational process structures. Though process patterns have been around for many years, there has been little research in categorizing the different solutions to various problems dealing with coordination, for easy access by

  1. A language for image processing HILLS and its supporting system SDIP

    International Nuclear Information System (INIS)

    Suzuki, H.; Toriwaki, J.

    1984-01-01

    This paper presents a language HILLS and its supporting system SDIP for image processing. HILLS is a key-word type language for describing image processing procedures by using subroutine packages SLIP and SPIDER. SDIP, written in FORTRAN to keep portability, supports programming by HILLS in interactive mode including functions such as editing, translating HILLS into FORTRAN, error detection, and providing manual information. Results of preliminary experiments suggest that HILLS and SDIP are very useful tools for beginners and researchers in application fields of image processing to develop desired image analysis procedures

  2. Developmental trends in auditory processing can provide early predictions of language acquisition in young infants.

    Science.gov (United States)

    Chonchaiya, Weerasak; Tardif, Twila; Mai, Xiaoqin; Xu, Lin; Li, Mingyan; Kaciroti, Niko; Kileny, Paul R; Shao, Jie; Lozoff, Betsy

    2013-03-01

    Auditory processing capabilities at the subcortical level have been hypothesized to impact an individual's development of both language and reading abilities. The present study examined whether auditory processing capabilities relate to language development in healthy 9-month-old infants. Participants were 71 infants (31 boys and 40 girls) with both Auditory Brainstem Response (ABR) and language assessments. At 6 weeks and/or 9 months of age, the infants underwent ABR testing using both a standard hearing screening protocol with 30 dB clicks and a second protocol using click pairs separated by 8, 16, and 64-ms intervals presented at 80 dB. We evaluated the effects of interval duration on ABR latency and amplitude elicited by the second click. At 9 months, language development was assessed via parent report on the Chinese Communicative Development Inventory - Putonghua version (CCDI-P). Wave V latency z-scores of the 64-ms condition at 6 weeks showed strong direct relationships with Wave V latency in the same condition at 9 months. More importantly, shorter Wave V latencies at 9 months showed strong relationships with the CCDI-P composite consisting of phrases understood, gestures, and words produced. Likewise, infants who had greater decreases in Wave V latencies from 6 weeks to 9 months had higher CCDI-P composite scores. Females had higher language development scores and shorter Wave V latencies at both ages than males. Interestingly, when the ABR Wave V latencies at both ages were taken into account, the direct effects of gender on language disappeared. In conclusion, these results support the importance of low-level auditory processing capabilities for early language acquisition in a population of typically developing young infants. Moreover, the auditory brainstem response in this paradigm shows promise as an electrophysiological marker to predict individual differences in language development in young children. © 2012 Blackwell Publishing Ltd.

  3. Assessing the Need for Higher Levels of Care Among Problem Gambling Outpatients.

    Science.gov (United States)

    Ledgerwood, David M; Arfken, Cynthia L

    2017-12-01

    Most treatment for gambling disorder is provided on an outpatient basis. Only a small number of jurisdictions in North America provide higher levels of gambling treatment, such as residential or intensive outpatient (IOP) care, despite the potential need for these services. Further, there appear to be few guidelines for determining appropriate level of gambling treatment. The aim of the present study was to assess the appropriateness of higher levels of problem gambling care among clients receiving outpatient treatment. Problem gamblers and their therapists independently completed questionnaires that assessed the need and desire for residential and IOP treatment. About 42% of problem gambling outpatients noted that they would be "probably" or "definitely" willing to attend residential treatment, and about half indicated they would be equally likely to attend IOP. Therapists recommended about a third of their clients as appropriate for higher levels of care. For both client and therapist assessments, there was a significant association between desire or recommendation for level of treatment and severity of gambling and co-occurring problems. Further, therapist recommendations for level of care were significantly associated with client willingness to attend higher levels of treatment. Our data reveal the potential need for higher levels of care for problem gambling, as evaluated by clients and their therapists. Policy implications for the funding of residential and IOP treatment are discussed.

  4. Sequential and Simultaneous Processing Abilities of High-Functioning Autistic and Language-Impaired Children.

    Science.gov (United States)

    Allen, Mark H.; And Others

    1991-01-01

    This study found that a group of 20 children (ages 6-12) with autism and a group of 20 children with developmental receptive language disorder both manifested a relative sequential processing deficit. The groups did not differ significantly on overall sequential and simultaneous processing capabilities relative to their degree of language…

  5. Morphological Processing during Visual Word Recognition in Hebrew as a First and a Second Language

    Science.gov (United States)

    Norman, Tal; Degani, Tamar; Peleg, Orna

    2017-01-01

    The present study examined whether sublexical morphological processing takes place during visual word-recognition in Hebrew, and whether morphological decomposition of written words depends on lexical activation of the complete word. Furthermore, it examined whether morphological processing is similar when reading Hebrew as a first language (L1)…

  6. New levels of language processing complexity and organization revealed by Granger causation

    Directory of Open Access Journals (Sweden)

    David W Gow

    2012-11-01

    Full Text Available Granger causation analysis of high spatiotemporal resolution reconstructions of brain activation offers a new window on the dynamic interactions between brain areas that support language processing. Premised on the observation that causes both precede and uniquely predict their effects, this approach provides an intuitive, model-free means of identifying directed causal interactions in the brain. It requires the analysis of all nonredundant potentially interacting signals, and has shown that even early processes such as speech perception involve interactions of many areas in a strikingly large network that extends well beyond traditional left hemisphere perisylvian cortex that play out over hundreds of milliseconds. In this paper we describe this technique and review several general findings that reframe the way we think about language processing and brain function in general. These include the extent and complexity of language processing networks, the central role of interactive processing dynamics, the role of processing hubs where the input from many distinct brain regions are integrated, and the degree to which task requirements and stimulus properties influence processing dynamics and inform our understanding of language-specific localized processes.

  7. New levels of language processing complexity and organization revealed by granger causation.

    Science.gov (United States)

    Gow, David W; Caplan, David N

    2012-01-01

    Granger causation analysis of high spatiotemporal resolution reconstructions of brain activation offers a new window on the dynamic interactions between brain areas that support language processing. Premised on the observation that causes both precede and uniquely predict their effects, this approach provides an intuitive, model-free means of identifying directed causal interactions in the brain. It requires the analysis of all non-redundant potentially interacting signals, and has shown that even "early" processes such as speech perception involve interactions of many areas in a strikingly large network that extends well beyond traditional left hemisphere perisylvian cortex that play out over hundreds of milliseconds. In this paper we describe this technique and review several general findings that reframe the way we think about language processing and brain function in general. These include the extent and complexity of language processing networks, the central role of interactive processing dynamics, the role of processing hubs where the input from many distinct brain regions are integrated, and the degree to which task requirements and stimulus properties influence processing dynamics and inform our understanding of "language-specific" localized processes.

  8. Overview of Business Process Modeling Languages Supporting Enterprise Collaboration

    NARCIS (Netherlands)

    Soleimani Malekan, H.; Afsarmanesh, H.; Shishkov, B.

    2014-01-01

    Enterprises endeavor to provide innovative services and competitive advantages, by constituting Collaborative Networks (CNs). Each enterprise performs a set of Business Processes (BPs), and through developing integrated BPs in CNs, enterprises can jointly produce stronger capabilities. However,

  9. Capturing and Modeling Domain Knowledge Using Natural Language Processing Techniques

    Science.gov (United States)

    2005-06-01

    Intelligence Artificielle , France, May 2001, p. 109- 118 [Barrière, 2001] -----. “Investigating the Causal Relation in Informative Texts”. Terminology, 7:2...out of the flood of information, military have to create new ways of processing sensor and intelligence information, and of providing the results to...have to create new ways of processing sensor and intelligence information, and of providing the results to commanders who must take timely operational

  10. The benefits of executive control training and the implications for language processing

    Directory of Open Access Journals (Sweden)

    Erika K. Hussey

    2012-05-01

    Full Text Available Recent psycholinguistics research suggests that the executive function (EF skill known as conflict resolution—the ability to adjust behavior in the service of resolving among incompatible representations—is important for several language processing tasks such as lexical and syntactic ambiguity resolution, verbal fluency, and common-ground assessment. Here, we discuss work showing that various EF skills can be enhanced through consistent practice with working memory tasks that tap these EFs, and, moreover, that improvements on the training tasks transfer across domains to novel tasks that may rely on shared underlying EFs. These findings have implications for language processing and could launch new research exploring if EF training, within a process-specific framework, could be used as a remediation tool for improving general language use. Indeed, work in our lab demonstrates that EF training that increases conflict-resolution processes has selective benefits on an untrained sentence-processing task requiring syntactic ambiguity resolution, which relies on shared conflict-resolution functions. Given claims that conflict-resolution abilities contribute to a range of linguistic skills, EF training targeting this process could theoretically yield wider performance gains beyond garden-path recovery. We offer some hypotheses on the potential benefits of EF training as a component of interventions to mitigate general difficulties in language processing. However, there are caveats to consider as well, which we also address.

  11. Real-Time Processing of ASL Signs: Delayed First Language Acquisition Affects Organization of the Mental Lexicon

    Science.gov (United States)

    Lieberman, Amy M.; Borovsky, Arielle; Hatrak, Marla; Mayberry, Rachel I.

    2015-01-01

    Sign language comprehension requires visual attention to the linguistic signal and visual attention to referents in the surrounding world, whereas these processes are divided between the auditory and visual modalities for spoken language comprehension. Additionally, the age-onset of first language acquisition and the quality and quantity of…

  12. Event Modeling in UML. Unified Modeling Language and Unified Process

    DEFF Research Database (Denmark)

    Bækgaard, Lars

    2002-01-01

    We show how events can be modeled in terms of UML. We view events as change agents that have consequences and as information objects that represent information. We show how to create object-oriented structures that represent events in terms of attributes, associations, operations, state charts......, and messages. We outline a run-time environment for the processing of events with multiple participants....

  13. The writing process: A powerful approach for the language-disabled student.

    Science.gov (United States)

    Moulton, J R; Bader, M S

    1985-01-01

    Our understanding of the writing process can be a powerful tool for teaching language-disabled students the "how" of writing. Direct, explicit instruction in writing process helps these students learn to explore their ideas and to manage the multiple demands of writing. A case study of one student, Jeff, demonstrates how we structure the stages of writing: prewriting, planning, drafting, revising, and proofreading. When these stages are clearly defined and involve specific skills, language-disabled students can reach beyond their limitations and strengthen their expression. The case study of Jeff reveals the development of his sense of control and his regard for himself as a writer.

  14. Belles-Lettres Reading Strategies in the Process of Foreign Language Teaching

    Directory of Open Access Journals (Sweden)

    Alexander S. Komarov

    2015-01-01

    Full Text Available The article is devoted to some of the teaching strategies based on the peculiarities of belles-lettres text. The author of the article analyses the peculiarities of the belles-lettres text which exert influence on the process of teaching reading skills and thus should be taken into account by foreign language teachers in their work with this type of text. The author argues that teaching belles-lettres reading skills should be centered on the five-level communication process between writer and reader. The teacher's aim is to create or adjust a system of reading instruction within the five levels so that he/she could improve students' reading skills. In the article, it is stated that the process of teaching reading skills should be congruent with the process of interpersonal communication between writer and reader. The author outlines the content of the teacher's approach to the work with this type of text within the process of foreign language instruction. The author describes two approaches to teaching belles-lettres reading skills as well as shows the prospects for the subjective approach. He also states high productivity and effectiveness of the subjective approach in teaching foreign languages. The article shows the importance of involving students who specialize in sciences into the process of belles-lettres reading while studying a foreign language for specific purposes.

  15. On the generalizability of the Chunk-and-Pass processing approach: Perspectives from language acquisition and music.

    Science.gov (United States)

    Lakshmanan, Usha; Graham, Robert E

    2016-01-01

    Christiansen & Chater (C&C) offer the Chunk-and-Pass strategy as a language processing approach allowing humans to make sense of incoming language in the face of cognitive and perceptual constraints. We propose that the Chunk-and-Pass strategy is not adequate to extend universally across languages (accounting for typologically diverse languages), nor is it sufficient to generalize to other auditory modalities such as music.

  16. Is the Levels of Processing effect language-limited?

    OpenAIRE

    Baddeley, Alan David; Hitch, Graham James

    2017-01-01

    The concept of Levels of Processing (LOP), proposing that deep coding enhances retention,has played a central role in the study of episodic memory. Evidence has however been based almost entirely on retention of individual words. Across five experiments, we compare LOP effects between visual and verbal stimuli, using judgments of pleasantness as a method of inducing deep encoding and a range of shallow encoding judgments selected so as to be applicable to both verbal and visual stimuli. LOP e...

  17. Sociolinguistically Informed Natural Language Processing: Automating Irony Detection

    Science.gov (United States)

    2017-10-23

    interaction feature using the entire training dataset, and repeated this process 100 times to account for variation due to the SGD procedure. Table 6...Levy and Goldberg , 2014). We parsed the ukWaC corpus (Baroni et al., 2009) using the Stanford Dependency Parser v3.5.2 with Stanford Dependencies...bitrary and variable sizes. We pre-trained our own syntactic embeddings fol- lowing (Levy and Goldberg , 2014). We parsed the ukWaC corpus (Baroni et

  18. ERP correlates of German Sign Language processing in deaf native signers.

    Science.gov (United States)

    Hänel-Faulhaber, Barbara; Skotara, Nils; Kügow, Monique; Salden, Uta; Bottari, Davide; Röder, Brigitte

    2014-05-10

    The present study investigated the neural correlates of sign language processing of Deaf people who had learned German Sign Language (Deutsche Gebärdensprache, DGS) from their Deaf parents as their first language. Correct and incorrect signed sentences were presented sign by sign on a computer screen. At the end of each sentence the participants had to judge whether or not the sentence was an appropriate DGS sentence. Two types of violations were introduced: (1) semantically incorrect sentences containing a selectional restriction violation (implausible object); (2) morphosyntactically incorrect sentences containing a verb that was incorrectly inflected (i.e., incorrect direction of movement). Event-related brain potentials (ERPs) were recorded from 74 scalp electrodes. Semantic violations (implausible signs) elicited an N400 effect followed by a positivity. Sentences with a morphosyntactic violation (verb agreement violation) elicited a negativity followed by a broad centro-parietal positivity. ERP correlates of semantic and morphosyntactic aspects of DGS clearly differed from each other and showed a number of similarities with those observed in other signed and oral languages. These data suggest a similar functional organization of signed and oral languages despite the visual-spacial modality of sign language.

  19. Investigating Student Choices in Performing Higher-Level Comprehension Tasks Using TED

    Science.gov (United States)

    Bianchi, Francesca; Marenzi, Ivana

    2016-01-01

    The current paper describes a first experiment in the use of TED talks and open tagging exercises to train higher-level comprehension skills, and of automatic logging of the student's actions to investigate the student choices while performing analytical tasks. The experiment took advantage of an interactive learning platform--LearnWeb--that…

  20. Dynamic spatial organization of the occipito-temporal word form area for second language processing.

    Science.gov (United States)

    Gao, Yue; Sun, Yafeng; Lu, Chunming; Ding, Guosheng; Guo, Taomei; Malins, Jeffrey G; Booth, James R; Peng, Danling; Liu, Li

    2017-08-01

    Despite the left occipito-temporal region having shown consistent activation in visual word form processing across numerous studies in different languages, the mechanisms by which word forms of second languages are processed in this region remain unclear. To examine this more closely, 16 Chinese-English and 14 English-Chinese late bilinguals were recruited to perform lexical decision tasks to visually presented words in both their native and second languages (L1 and L2) during functional magnetic resonance imaging scanning. Here we demonstrate that visual word form processing for L1 versus L2 engaged different spatial areas of the left occipito-temporal region. Namely, the spatial organization of the visual word form processing in the left occipito-temporal region is more medial and posterior for L2 than L1 processing in Chinese-English bilinguals, whereas activation is more lateral and anterior for L2 in English-Chinese bilinguals. In addition, for Chinese-English bilinguals, more lateral recruitment of the occipito-temporal region was correlated with higher L2 proficiency, suggesting higher L2 proficiency is associated with greater involvement of L1-preferred mechanisms. For English-Chinese bilinguals, higher L2 proficiency was correlated with more lateral and anterior activation of the occipito-temporal region, suggesting higher L2 proficiency is associated with greater involvement of L2-preferred mechanisms. Taken together, our results indicate that L1 and L2 recruit spatially different areas of the occipito-temporal region in visual word processing when the two scripts belong to different writing systems, and that the spatial organization of this region for L2 visual word processing is dynamically modulated by L2 proficiency. Specifically, proficiency in L2 in Chinese-English is associated with assimilation to the native language mechanisms, whereas L2 in English-Chinese is associated with accommodation to second language mechanisms. Copyright © 2017

  1. Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain.

    Science.gov (United States)

    Lopopolo, Alessandro; Frank, Stefan L; van den Bosch, Antal; Willems, Roel M

    2017-01-01

    Language comprehension involves the simultaneous processing of information at the phonological, syntactic, and lexical level. We track these three distinct streams of information in the brain by using stochastic measures derived from computational language models to detect neural correlates of phoneme, part-of-speech, and word processing in an fMRI experiment. Probabilistic language models have proven to be useful tools for studying how language is processed as a sequence of symbols unfolding in time. Conditional probabilities between sequences of words are at the basis of probabilistic measures such as surprisal and perplexity which have been successfully used as predictors of several behavioural and neural correlates of sentence processing. Here we computed perplexity from sequences of words and their parts of speech, and their phonemic transcriptions. Brain activity time-locked to each word is regressed on the three model-derived measures. We observe that the brain keeps track of the statistical structure of lexical, syntactic and phonological information in distinct areas.

  2. The Priority of Listening Comprehension over Speaking in the Language Acquisition Process

    Science.gov (United States)

    Xu, Fang

    2011-01-01

    By elaborating the definition of listening comprehension, the characteristic of spoken discourse, the relationship between STM and LTM and Krashen's comprehensible input, the paper puts forward the point that the priority of listening comprehension over speaking in the language acquisition process is very necessary.

  3. How to analyse age effects in electrophysiological signatures of second language grammar processing

    NARCIS (Netherlands)

    Berends, Sanne; Wieling, Martijn; Sprenger, Simone; Brouwer, Susanne; Schmid, Monika

    2017-01-01

    There is a debate on the nature of the relationship between age of acquisition (AoA) and grammatical processing in second language (L2) learners (Birdsong, 2005). On the one hand, it has been argued that the ability to learn the grammar of an L2 decreases continuously with age due to general

  4. Conflicts in Language Processing: A New Perspective on the N400-P600 Distinction

    Science.gov (United States)

    Frenzel, Sabine; Schlesewsky, Matthias; Bornkessel-Schlesewsky, Ina

    2011-01-01

    Conflicts in language processing often correlate with late positive event-related brain potentials (ERPs), particularly when they are induced by inconsistencies between different information types (e.g. syntactic and thematic/plausibility information). However, under certain circumstances, similar sentence-level interpretation conflicts (inanimate…

  5. Effects of Stress and Working Memory Capacity on Foreign Language Readers' Inferential Processing during Comprehension

    Science.gov (United States)

    Rai, Manpreet K.; Loschky, Lester C.; Harris, Richard Jackson; Peck, Nicole R.; Cook, Lindsay G.

    2011-01-01

    Although stress is frequently claimed to impede foreign language (FL) reading comprehension, it is usually not explained how. We investigated the effects of stress, working memory (WM) capacity, and inferential complexity on Spanish FL readers' inferential processing during comprehension. Inferences, although necessary for reading comprehension,…

  6. The Importance of Language in Students' Reasoning about Heat in Thermodynamic Processes

    Science.gov (United States)

    Brookes, David T.; Etkina, Eugenia

    2015-01-01

    Researchers believe that the way that students talk, specifically the language that they use, can offer a window into their reasoning processes. Yet the connection between what students are saying and what they are actually thinking can be ambiguous. We present the results of an exploratory interview study with 10 participants, designed to…

  7. The application of natural language processing to augmentative and alternative communication.

    Science.gov (United States)

    Higginbotham, D Jeffery; Lesher, Gregory W; Moulton, Bryan J; Roark, Brian

    2011-01-01

    Significant progress has been made in the application of natural language processing (NLP) to augmentative and alternative communication (AAC), particularly in the areas of interface design and word prediction. This article will survey the current state-of-the-science of NLP in AAC and discuss its future applications for the development of next generation of AAC technology.

  8. A Qualitative Analysis Framework Using Natural Language Processing and Graph Theory

    Science.gov (United States)

    Tierney, Patrick J.

    2012-01-01

    This paper introduces a method of extending natural language-based processing of qualitative data analysis with the use of a very quantitative tool--graph theory. It is not an attempt to convert qualitative research to a positivist approach with a mathematical black box, nor is it a "graphical solution". Rather, it is a method to help qualitative…

  9. Language Learning Strategies and English Proficiency: Interpretations from Information-Processing Theory

    Science.gov (United States)

    Rao, Zhenhui

    2016-01-01

    The research reported here investigated the relationship between students' use of language learning strategies and their English proficiency, and then interpreted the data from two models in information-processing theory. Results showed that the students' English proficiency significantly affected their use of learning strategies, with high-level…

  10. Combining Machine Learning and Natural Language Processing to Assess Literary Text Comprehension

    Science.gov (United States)

    Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S.

    2017-01-01

    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…

  11. Unimodal and multimodal regions for logographic language processing in left ventral occipitotemporal cortex

    Directory of Open Access Journals (Sweden)

    Yuan eDeng

    2013-09-01

    Full Text Available The human neocortex appears to contain a dedicated visual word form area (VWFA and an adjacent multimodal (visual/auditory area. However, these conclusions are based on functional magnetic resonance imaging (fMRI of alphabetic language processing, languages that have clear grapheme-to-phoneme correspondence (GPC rules that make it difficult to disassociate visual-specific processing from form-to-sound mapping. In contrast, the Chinese language has no clear GPC rules. Therefore, the current study examined whether native Chinese readers also have the same VWFA and multimodal area. Two cross-modal tasks, phonological retrieval of visual words and orthographic retrieval of auditory words, were adopted. Different task requirements were also applied to explore how different levels of cognitive processing modulate activation of putative VWFA-like and multimodal-like regions. Results showed that the left occipitotemporal sulcus responded exclusively to visual inputs and an adjacent region, the left inferior temporal gyrus, showed comparable activation for both visual and auditory inputs. Surprisingly, processing levels did not significantly alter activation of these two regions. These findings indicated that there are both unimodal and multimodal word areas for non-alphabetic language reading, and that activity in these two word-specific regions are independent of task demands at the linguistic level.

  12. Construct Validity in TOEFL iBT Speaking Tasks: Insights from Natural Language Processing

    Science.gov (United States)

    Kyle, Kristopher; Crossley, Scott A.; McNamara, Danielle S.

    2016-01-01

    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…

  13. Writing Process Products in Intermediate-Grade Children with and without Language-Based Learning Disabilities

    Science.gov (United States)

    Koutsoftas, Anthony D.

    2016-01-01

    Purpose: Difficulties with written expression are an important consideration in the assessment and treatment of school-age children. This study evaluated how intermediate-grade children with and without written language difficulties fared on a writing task housed within the Hayes and Berninger (2014) writing process framework. Method: Sixty-four…

  14. The influence of language deprivation in early childhood on L2 processing: An ERP comparison of deaf native signers and deaf signers with a delayed language acquisition.

    Science.gov (United States)

    Skotara, Nils; Salden, Uta; Kügow, Monique; Hänel-Faulhaber, Barbara; Röder, Brigitte

    2012-05-03

    To examine which language function depends on early experience, the present study compared deaf native signers, deaf non-native signers and hearing German native speakers while processing German sentences. The participants watched simple written sentences while event-related potentials (ERPs) were recorded. At the end of each sentence they were asked to judge whether the sentence was correct or not. Two types of violations were introduced in the middle of the sentence: a semantically implausible noun or a violation of subject-verb number agreement. The results showed a similar ERP pattern after semantic violations (an N400 followed by a positivity) in all three groups. After syntactic violations, native German speakers and native signers of German sign language (DGS) with German as second language (L2) showed a left anterior negativity (LAN) followed by a P600, whereas no LAN but a negativity over the right hemisphere instead was found in deaf participants with a delayed onset of first language (L1) acquisition. The P600 of this group had a smaller amplitude and a different scalp distribution as compared to German native speakers. The results of the present study suggest that language deprivation in early childhood alters the cerebral organization of syntactic language processing mechanisms for L2. Semantic language processing instead was unaffected.

  15. Adapting high-level language programs for parallel processing using data flow

    Science.gov (United States)

    Standley, Hilda M.

    1988-01-01

    EASY-FLOW, a very high-level data flow language, is introduced for the purpose of adapting programs written in a conventional high-level language to a parallel environment. The level of parallelism provided is of the large-grained variety in which parallel activities take place between subprograms or processes. A program written in EASY-FLOW is a set of subprogram calls as units, structured by iteration, branching, and distribution constructs. A data flow graph may be deduced from an EASY-FLOW program.

  16. A Mouse with a Roof? Effects of Phonological Neighbors on Processing of Words in Sentences in a Non-Native Language

    Science.gov (United States)

    Ruschemeyer, Shirley-Ann; Nojack, Agnes; Limbach, Maxi

    2008-01-01

    The architecture of the language processing system for speakers of more than one language remains an intriguing topic of research. A common finding is that speakers of multiple languages are slower at responding to language stimuli in their non-native language (L2) than monolingual speakers. This may simply reflect participants' unfamiliarity with…

  17. Formulaic language in cortical and subcortical disease: Evidence of the dual process model.

    Directory of Open Access Journals (Sweden)

    Kelly Bridges

    2014-04-01

    Full Text Available Introduction: It is known that an intact cortical left hemisphere is crucial for language production. Recently, more credit is given to the right hemisphere and subcortical areas in the production of non-novel language, including formulaic language. John Hughlings Jackson (1874/1958, first described how propositional and non-propositional speech are differentially affected by neural impairment. Non-propositional language is often preserved following left hemisphere stroke even when aphasia is present (Code, 1982; Sidtis et al., 2009; Van Lancker Sidtis & Postman, 2006. With right hemisphere and subcortical stroke, formulaic language is reduced (Sidtis et al., 2009; Van Lancker Sidtis & Postman, 2006; Speedie et al., 1993. The dual process model of language competence states that propositional and non-propositional speech are processed differently in the brain, with novel speech controlled by the left hemisphere, and a right hemisphere/subcortical circuit modulating formulaic language (Van Lancker Sidtis, 2004; 2012. Two studies of formulaic language will be presented as further evidence of the dual process model: a study of formulaic language in Alzheimer’s disease, and a study of recited speech in Parkinson’s disease. Formulaic language includes overlearned words, phrases or longer linguistic units that are known to the native speaker, occur naturally in discourse, and are important for normal social interaction (Fillmore, 1979; Pawley & Syder, 1983; Van Lancker, 1988; Van Lancker Sidtis, 2004; Wray, 2002. Formulaic expressions include conversational speech formulas, idioms, proverbs, expletives, pause fillers, discourse elements, and sentence stems (stereotyped sentence-initials. Longer units of linguistic material, such as prayers, rhymes, and poems, termed recited speech, is another subtype of formulaic language that is learned in childhood and recited periodically throughout life. Cortical disease: Alzheimer’s disease and formulaic

  18. The Effect of Thalamic Stimulation on Memory and Language Processing in Parkinsonian Patients

    Directory of Open Access Journals (Sweden)

    Zahrasadat Ghoreishi

    2006-01-01

    Full Text Available Objective: Thalamic Deep Brain Stimulation (DBS is reported to be successful in Parkinson patients with motor symptoms resistant to medication as a treatment procedure. Despite evidence of cortico-subcortico-cortical circuit involvement in motor control, the role of this neural circuitry on higher cognitive functions such as language is still controversial. In particular, research evidence pertaining to the impact of ventrolateral thalamic stimulation on linguistic processing is scarce. This paper investigates the effect of right and left thalamus-DBS on memory and language processing in Parkinson patients. Materials & Methods: In this paper as a case series research we measured memory and language processing in six Parkinson patients (2 left, 2right, 2 bilateral underwent implantation of deep brain stimulating electrode in ventrolateral thalamic nucleus. The data were collected in two “on” and “off” positions, with at least 40 days time interval in between. The patients were assessed using Wechsler memory test, verbal fluency and some sub-tests of Farsi version of Bilingual Aphasia Test (BAT. Results: The findings of this research are suggesting an improvement on grammar comprehension and a decline in sentence production and verbal fluency in “on” position versus “off” position, in both groups. The Wechsler memory scores in left thalamus group improved but declined in right thalamus group. Conclusion: The results indicate that thalamic DBS did not cause any deficit on grammar comprehension and even improved the level of comprehension. On the contrary a decrease in verbal fluency and sentence production, as two high level linguistic processing tasks, was observed. The results confirmed contemporary theories of thalamic participation on language processing and did not confirm a laterality effect on language skills. Although observed difference after thalamic DBS between right and left group on memory score can confirm laterality

  19. Temporally Regular Musical Primes Facilitate Subsequent Syntax Processing in Children with Specific Language Impairment.

    Science.gov (United States)

    Bedoin, Nathalie; Brisseau, Lucie; Molinier, Pauline; Roch, Didier; Tillmann, Barbara

    2016-01-01

    Children with developmental language disorders have been shown to be also impaired in rhythm and meter perception. Temporal processing and its link to language processing can be understood within the dynamic attending theory. An external stimulus can stimulate internal oscillators, which orient attention over time and drive speech signal segmentation to provide benefits for syntax processing, which is impaired in various patient populations. For children with Specific Language Impairment (SLI) and dyslexia, previous research has shown the influence of an external rhythmic stimulation on subsequent language processing by comparing the influence of a temporally regular musical prime to that of a temporally irregular prime. Here we tested whether the observed rhythmic stimulation effect is indeed due to a benefit provided by the regular musical prime (rather than a cost subsequent to the temporally irregular prime). Sixteen children with SLI and 16 age-matched controls listened to either a regular musical prime sequence or an environmental sound scene (without temporal regularities in event occurrence; i.e., referred to as "baseline condition") followed by grammatically correct and incorrect sentences. They were required to perform grammaticality judgments for each auditorily presented sentence. Results revealed that performance for the grammaticality judgments was better after the regular prime sequences than after the baseline sequences. Our findings are interpreted in the theoretical framework of the dynamic attending theory (Jones, 1976) and the temporal sampling (oscillatory) framework for developmental language disorders (Goswami, 2011). Furthermore, they encourage the use of rhythmic structures (even in non-verbal materials) to boost linguistic structure processing and outline perspectives for rehabilitation.

  20. Translating message sequence charts to other process languages using process mining

    NARCIS (Netherlands)

    Lassen, K.B.; Dongen, van B.F.; Aalst, van der W.M.P.

    2007-01-01

    Message Sequence Charts (MSCs) are a well known language for specifying scenarios that describe how di??erent actors (e.g., system components, people, or organizations) interact. MSCs are often used as a starting point for software analysts to discuss the behavior of a system with di??erent

  1. LanguageNet: A Novel Framework for Processing Unstructured Text Information

    DEFF Research Database (Denmark)

    Qureshi, Pir Abdul Rasool; Memon, Nasrullah; Wiil, Uffe Kock

    2011-01-01

    In this paper we present LanguageNet—a novel framework for processing unstructured text information from human generated content. The state of the art information processing frameworks have some shortcomings: modeled in generalized form, trained on fixed (limited) data sets, and leaving...... the specialization necessary for information consolidation to the end users. The proposed framework is the first major attempt to address these shortcomings. LanguageNet provides extended support of graphical methods contributing added value to the capabilities of information processing. We discuss the benefits...... of the framework and compare it with the available state of the art. We also describe how the framework improves the information gathering process and contribute towards building systems with better performance in the domain of Open Source Intelligence....

  2. Why do French civil-law countries have higher levels of financial efficiency?

    OpenAIRE

    Asongu Simplice

    2011-01-01

    The dominance of English common-law countries in prospects for financial development in the legal-origins debate has been debunked by recent findings. Using exchange rate regimes and economic/monetary integration oriented hypotheses, this paper proposes an “inflation uncertainty theory” in providing theoretical justification and empirical validity as to why French civil-law countries have higher levels of financial allocation efficiency. Inflation uncertainty, typical of floating exchange rat...

  3. Higher Levels of Albuminuria within the Normal Range Predict Incident Hypertension

    OpenAIRE

    Forman, John P.; Fisher, Naomi D.L.; Schopick, Emily L.; Curhan, Gary C.

    2008-01-01

    Higher levels of albumin excretion within the normal range are associated with cardiovascular disease in high-risk individuals. Whether incremental increases in urinary albumin excretion, even within the normal range, are associated with the development of hypertension in low-risk individuals is unknown. This study included 1065 postmenopausal women from the first Nurses’ Health Study and 1114 premenopausal women from the second Nurses’ Health Study who had an albumin/creatinine ratio

  4. Multisensory Stimulation to Improve Low- and Higher-Level Sensory Deficits after Stroke: A Systematic Review

    OpenAIRE

    Tinga, Angelica Maria; Visser-Meily, Johanna Maria Augusta; van der Smagt, Maarten Jeroen; Van der Stigchel, Stefan; van Ee, Raymond; Nijboer, Tanja Cornelia Wilhelmina

    2015-01-01

    The aim of this systematic review was to integrate and assess evidence for the effectiveness of multisensory stimulation (i.e., stimulating at least two of the following sensory systems: visual, auditory, and somatosensory) as a possible rehabilitation method after stroke. Evidence was considered with a focus on low-level, perceptual (visual, auditory and somatosensory deficits), as well as higher-level, cognitive, sensory deficits. We referred to the electronic databases Scopus and PubMed to...

  5. Multisensory Stimulation to Improve Low- and Higher-Level Sensory Deficits after Stroke: A Systematic Review.

    Science.gov (United States)

    Tinga, Angelica Maria; Visser-Meily, Johanna Maria Augusta; van der Smagt, Maarten Jeroen; Van der Stigchel, Stefan; van Ee, Raymond; Nijboer, Tanja Cornelia Wilhelmina

    2016-03-01

    The aim of this systematic review was to integrate and assess evidence for the effectiveness of multisensory stimulation (i.e., stimulating at least two of the following sensory systems: visual, auditory, and somatosensory) as a possible rehabilitation method after stroke. Evidence was considered with a focus on low-level, perceptual (visual, auditory and somatosensory deficits), as well as higher-level, cognitive, sensory deficits. We referred to the electronic databases Scopus and PubMed to search for articles that were published before May 2015. Studies were included which evaluated the effects of multisensory stimulation on patients with low- or higher-level sensory deficits caused by stroke. Twenty-one studies were included in this review and the quality of these studies was assessed (based on eight elements: randomization, inclusion of control patient group, blinding of participants, blinding of researchers, follow-up, group size, reporting effect sizes, and reporting time post-stroke). Twenty of the twenty-one included studies demonstrate beneficial effects on low- and/or higher-level sensory deficits after stroke. Notwithstanding these beneficial effects, the quality of the studies is insufficient for valid conclusion that multisensory stimulation can be successfully applied as an effective intervention. A valuable and necessary next step would be to set up well-designed randomized controlled trials to examine the effectiveness of multisensory stimulation as an intervention for low- and/or higher-level sensory deficits after stroke. Finally, we consider the potential mechanisms of multisensory stimulation for rehabilitation to guide this future research.

  6. Neural networks underlying language and social cognition during self-other processing in Autism spectrum disorders.

    Science.gov (United States)

    Kana, Rajesh K; Sartin, Emma B; Stevens, Carl; Deshpande, Hrishikesh D; Klein, Christopher; Klinger, Mark R; Klinger, Laura Grofer

    2017-07-28

    The social communication impairments defining autism spectrum disorders (ASD) may be built upon core deficits in perspective-taking, language processing, and self-other representation. Self-referential processing entails the ability to incorporate self-awareness, self-judgment, and self-memory in information processing. Very few studies have examined the neural bases of integrating self-other representation and semantic processing in individuals with ASD. The main objective of this functional MRI study is to examine the role of language and social brain networks in self-other processing in young adults with ASD. Nineteen high-functioning male adults with ASD and 19 age-sex-and-IQ-matched typically developing (TD) control participants made "yes" or "no" judgments of whether an adjective, presented visually, described them (self) or their favorite teacher (other). Both ASD and TD participants showed significantly increased activity in the medial prefrontal cortex (MPFC) during self and other processing relative to letter search. Analyses of group differences revealed significantly reduced activity in left inferior frontal gyrus (LIFG), and left inferior parietal lobule (LIPL) in ASD participants, relative to TD controls. ASD participants also showed significantly weaker functional connectivity of the anterior cingulate cortex (ACC) with several brain areas while processing self-related words. The LIFG and IPL are important regions functionally at the intersection of language and social roles; reduced recruitment of these regions in ASD participants may suggest poor level of semantic and social processing. In addition, poor connectivity of the ACC may suggest the difficulty in meeting the linguistic and social demands of this task in ASD. Overall, this study provides new evidence of the altered recruitment of the neural networks underlying language and social cognition in ASD. Published by Elsevier Ltd.

  7. USING DISTANCE LEARNING TECHNOLOGIES IN THE LEARNING PROCESS OF MODERN PROGRAMMING LANGUAGES

    Directory of Open Access Journals (Sweden)

    Mariia A. Umryk

    2014-06-01

    Full Text Available In the research it was reviewed the use of distance learning technologies in the organization of research tasks while studying modern programming languages. The article contains an example of a training project on the subject "Modern programming languages". The authors argue the necessity of the use of modern information and communication technologies, in particular in modern programming languages distance learning, for the formation of students' 21st century skills that are essential in the process of programming (it is skills such as self-organization and self-discipline, communication skills, teamwork skills etc.. It is pointed out the structural units of the training project in accordance with the use of distance learning technologies. It is described the general characteristics and the use of appropriate methods of modern information and communication technologies.

  8. Language and science: products and processes of signification in the educational dialogue

    Directory of Open Access Journals (Sweden)

    Martin Dodman

    2008-09-01

    Full Text Available Global changes such as urbanisation, new ways of travelling, new information and communication technologies are causing radical changes in the relationships between human beings and the environment we are both a part of and depend on. Relationships which – according to a multiplicity of researches in various fields – are crucially important. Science education and the language of science risk exacerbating a tendency towards objectifying nature and inhabiting a virtual reality, thereby rendering ever more tenuous the dialogue between people and the natural world. This article examines two approaches to science and language – as products or as processes – and suggests how awareness of the dynamic relationship between language and knowledge can help restore that vital dialogue.

  9. Factors associated with higher levels of depressive symptoms among international university students in the Philippines.

    Science.gov (United States)

    Lee, Romeo B; Maria, Madelene Sta; Estanislao, Susana; Rodriguez, Cristina

    2013-11-01

    Over the years, the number of international university students has been increasing in the Philippines. Depression tends to be common among this demographic sector, because of the varying challenges and expectations associated with studying abroad. Depression can be prevented if its symptoms, particularly those at higher levels, are identified and addressed early and effectively. This survey examined the social and demographic factors that are significantly associated with higher levels of depressive symptoms. One hundred twenty-six international university students were interviewed using the University Students Depression Inventory. Of the 13 factors analyzed, 3 were found with statistically significant associations with more intense levels of depressive symptoms. These factors were: level of satisfaction with one's financial condition, level of closeness with parents, and level of closeness with peers. In identifying international students with greater risk for depression, characteristics related to their financial condition and primary group relationships can be considered. There is a need to carry out more studies to confirm this initial evidence. The findings can help guide further discourse, research and program to benefit international students with higher levels of depressive symptoms.

  10. Attention allocation: Relationships to general working memory or specific language processing.

    Science.gov (United States)

    Archibald, Lisa M D; Levee, Tyler; Olino, Thomas

    2015-11-01

    Attention allocation, updating working memory, and language processing are interdependent cognitive tasks related to the focused direction of limited resources, refreshing and substituting information in the current focus of attention, and receiving/sending verbal communication, respectively. The current study systematically examined the relationship among executive attention, working memory executive skills, and language abilities while adjusting for individual differences in short-term memory. School-age children completed a selective attention task requiring them to recall whether a presented shape was in the same place as a previous target shape shown in an array imposing a low or high working memory load. Results revealed a selective attention cost when working above but not within memory span capacity. Measures of general working memory were positively related to overall task performance, whereas language abilities were related to response time. In particular, higher language skills were associated with faster responses under low load conditions. These findings suggest that attentional control and storage demands have an additive impact on working memory resources but provide only limited evidence for a domain-general mechanism in language learning. Crown Copyright © 2015. Published by Elsevier Inc. All rights reserved.

  11. Language Teacher Candidates’ Self-Assessment Process for Teaching to Young Learners in EFL Classes

    Directory of Open Access Journals (Sweden)

    Binnur GENÇ İLTER

    2017-12-01

    Full Text Available Teaching a foreign language to young learners have some differences from teaching adults. Young children have concentration problems and they tend to change their mood every ten minutes and need more creative activities than adults. Therefore, foreign language teachers have to choose interesting activities for them and foreign language teacher candidates should learn the correct methods and techniques during their training period. Although some teacher candidates think the solution for training is simply to get all theoretical knowledge, some of them think that solution lies in encouraging the teacher candidates to create their own activities. This descriptive action research paper arises of a quantitative study the purpose of which is to seek the process of ELT students’ development and reflection on teaching English to children. In order to find out language teacher candidates’ ideas about how they improve themselves, five point Likert scale was prepared. Data collection was achieved by giving the same questionnaires at the beginning and the end of the term at One State University, ELT students in the academic year 2015–2016. 16 male and 32 female students answered the questionnaire. The data were analysed using factor analyses and Levene Test. Findings were examined and some suggestions that focused on language teacher training candidates were put forward.

  12. Dutch-Cantonese Bilinguals Show Segmental Processing during Sinitic Language Production

    Directory of Open Access Journals (Sweden)

    Kalinka Timmer

    2017-07-01

    Full Text Available This study addressed the debate on the primacy of syllable vs. segment (i.e., phoneme as a functional unit of phonological encoding in syllabic languages by investigating both behavioral and neural responses of Dutch-Cantonese (DC bilinguals in a color-object picture naming task. Specifically, we investigated whether DC bilinguals exhibit the phonemic processing strategy, evident in monolingual Dutch speakers, during planning of their Cantonese speech production. Participants named the color of colored line-drawings in Cantonese faster when color and object matched in the first segment than when they were mismatched (e.g., 藍駱駝, /laam4/ /lok3to4/, “blue camel;” 紅饑駝, /hung4/ /lok3to4/, “red camel”. This is in contrast to previous studies in Sinitic languages that did not reveal such phoneme-only facilitation. Phonemic overlap also modulated the event-related potentials (ERPs in the 125–175, 200–300, and 300–400 ms time windows, suggesting earlier ERP modulations than in previous studies with monolingual Sinitic speakers or unbalanced Sinitic-Germanic bilinguals. Conjointly, our results suggest that, while the syllable may be considered the primary unit of phonological encoding in Sinitic languages, the phoneme can serve as the primary unit of phonological encoding, both behaviorally and neurally, for DC bilinguals. The presence/absence of a segment onset effect in Sinitic languages may be related to the proficiency in the Germanic language of bilinguals.

  13. Congenital amusia (or tone-deafness interferes with pitch processing in tone languages

    Directory of Open Access Journals (Sweden)

    Barbara eTillmann

    2011-06-01

    Full Text Available Congenital amusia is a neurogenetic disorder that affects music processing and that is ascribed to a deficit in pitch processing. We investigated whether this deficit extended to pitch processing in speech, notably the pitch changes used to contrast lexical tones in tonal languages. Congenital amusics and matched controls, all non-tonal language speakers, were tested for lexical tone discrimination in Mandarin Chinese (Experiment 1 and in Thai (Experiment 2. Tones were presented in pairs and participants were required to make same/different judgments. Experiment 2 additionally included musical analogs of Thai tones for comparison. Performance of congenital amusics was inferior to that of controls for all materials, suggesting a domain-general pitch-processing deficit. The pitch deficit of amusia is thus not limited to music, but may compromise the ability to process and learn tonal languages. Combined with acoustic analyses of the tone material, the present findings provide new insights into the nature of the pitch-processing deficit exhibited by amusics.

  14. Congenital Amusia (or Tone-Deafness) Interferes with Pitch Processing in Tone Languages.

    Science.gov (United States)

    Tillmann, Barbara; Burnham, Denis; Nguyen, Sebastien; Grimault, Nicolas; Gosselin, Nathalie; Peretz, Isabelle

    2011-01-01

    Congenital amusia is a neurogenetic disorder that affects music processing and that is ascribed to a deficit in pitch processing. We investigated whether this deficit extended to pitch processing in speech, notably the pitch changes used to contrast lexical tones in tonal languages. Congenital amusics and matched controls, all non-tonal language speakers, were tested for lexical tone discrimination in Mandarin Chinese (Experiment 1) and in Thai (Experiment 2). Tones were presented in pairs and participants were required to make same/different judgments. Experiment 2 additionally included musical analogs of Thai tones for comparison. Performance of congenital amusics was inferior to that of controls for all materials, suggesting a domain-general pitch-processing deficit. The pitch deficit of amusia is thus not limited to music, but may compromise the ability to process and learn tonal languages. Combined with acoustic analyses of the tone material, the present findings provide new insights into the nature of the pitch-processing deficit exhibited by amusics.

  15. Electrophysiological Study of Algorithmically Processed Metric/Rhythmic Variations in Language and Music

    Directory of Open Access Journals (Sweden)

    Magne Cyrille

    2007-01-01

    Full Text Available This work is the result of an interdisciplinary collaboration between scientists from the fields of audio signal processing, phonetics and cognitive neuroscience aiming at studying the perception of modifications in meter, rhythm, semantics and harmony in language and music. A special time-stretching algorithm was developed to work with natural speech. In the language part, French sentences ending with tri-syllabic congruous or incongruous words, metrically modified or not, were made. In the music part, short melodies made of triplets, rhythmically and/or harmonically modified, were built. These stimuli were presented to a group of listeners that were asked to focus their attention either on meter/rhythm or semantics/harmony and to judge whether or not the sentences/melodies were acceptable. Language ERP analyses indicate that semantically incongruous words are processed independently of the subject's attention thus arguing for automatic semantic processing. In addition, metric incongruities seem to influence semantic processing. Music ERP analyses show that rhythmic incongruities are processed independently of attention, revealing automatic processing of rhythm in music.

  16. Electrophysiological Study of Algorithmically Processed Metric/Rhythmic Variations in Language and Music

    Directory of Open Access Journals (Sweden)

    Richard Kronland-Martinet

    2007-12-01

    Full Text Available This work is the result of an interdisciplinary collaboration between scientists from the fields of audio signal processing, phonetics and cognitive neuroscience aiming at studying the perception of modifications in meter, rhythm, semantics and harmony in language and music. A special time-stretching algorithm was developed to work with natural speech. In the language part, French sentences ending with tri-syllabic congruous or incongruous words, metrically modified or not, were made. In the music part, short melodies made of triplets, rhythmically and/or harmonically modified, were built. These stimuli were presented to a group of listeners that were asked to focus their attention either on meter/rhythm or semantics/harmony and to judge whether or not the sentences/melodies were acceptable. Language ERP analyses indicate that semantically incongruous words are processed independently of the subject's attention thus arguing for automatic semantic processing. In addition, metric incongruities seem to influence semantic processing. Music ERP analyses show that rhythmic incongruities are processed independently of attention, revealing automatic processing of rhythm in music.

  17. Spatial language processing in the blind: evidence for a supramodal representation and cortical reorganization.

    Directory of Open Access Journals (Sweden)

    Marijn E Struiksma

    Full Text Available Neuropsychological and imaging studies have shown that the left supramarginal gyrus (SMG is specifically involved in processing spatial terms (e.g. above, left of, which locate places and objects in the world. The current fMRI study focused on the nature and specificity of representing spatial language in the left SMG by combining behavioral and neuronal activation data in blind and sighted individuals. Data from the blind provide an elegant way to test the supramodal representation hypothesis, i.e. abstract codes representing spatial relations yielding no activation differences between blind and sighted. Indeed, the left SMG was activated during spatial language processing in both blind and sighted individuals implying a supramodal representation of spatial and other dimensional relations which does not require visual experience to develop. However, in the absence of vision functional reorganization of the visual cortex is known to take place. An important consideration with respect to our finding is the amount of functional reorganization during language processing in our blind participants. Therefore, the participants also performed a verb generation task. We observed that only in the blind occipital areas were activated during covert language generation. Additionally, in the first task there was functional reorganization observed for processing language with a high linguistic load. As the visual cortex was not specifically active for spatial contents in the first task, and no reorganization was observed in the SMG, the latter finding further supports the notion that the left SMG is the main node for a supramodal representation of verbal spatial relations.

  18. The Relationship between Central Auditory Processing, Language, and Cognition in Children Being Evaluated for Central Auditory Processing Disorder.

    Science.gov (United States)

    Brenneman, Lauren; Cash, Elizabeth; Chermak, Gail D; Guenette, Linda; Masters, Gay; Musiek, Frank E; Brown, Mallory; Ceruti, Julianne; Fitzegerald, Krista; Geissler, Kristin; Gonzalez, Jennifer; Weihing, Jeffrey

    2017-09-01

    Pediatric central auditory processing disorder (CAPD) is frequently comorbid with other childhood disorders. However, few studies have examined the relationship between commonly used CAPD, language, and cognition tests within the same sample. The present study examined the relationship between diagnostic CAPD tests and "gold standard" measures of language and cognitive ability, the Clinical Evaluation of Language Fundamentals (CELF) and the Wechsler Intelligence Scale for Children (WISC). A retrospective study. Twenty-seven patients referred for CAPD testing who scored average or better on the CELF and low average or better on the WISC were initially included. Seven children who scored below the CELF and/or WISC inclusion criteria were then added to the dataset for a second analysis, yielding a sample size of 34. Participants were administered a CAPD battery that included at least the following three CAPD tests: Frequency Patterns (FP), Dichotic Digits (DD), and Competing Sentences (CS). In addition, they were administered the CELF and WISC. Relationships between scores on CAPD, language (CELF), and cognition (WISC) tests were examined using correlation analysis. DD and FP showed significant correlations with Full Scale Intelligence Quotient, and the DD left ear and the DD interaural difference measures both showed significant correlations with working memory. However, ∼80% or more of the variance in these CAPD tests was unexplained by language and cognition measures. Language and cognition measures were more strongly correlated with each other than were the CAPD tests with any CELF or WISC scale. Additional correlations with the CAPD tests were revealed when patients who scored in the mild-moderate deficit range on the CELF and/or in the borderline low intellectual functioning range on the WISC were included in the analysis. While both the DD and FP tests showed significant correlations with one or more cognition measures, the majority of the variance in these

  19. Phonological processing of rhyme in spoken language and location in sign language by deaf and hearing participants: a neurophysiological study.

    Science.gov (United States)

    Colin, C; Zuinen, T; Bayard, C; Leybaert, J

    2013-06-01

    Sign languages (SL), like oral languages (OL), organize elementary, meaningless units into meaningful semantic units. Our aim was to compare, at behavioral and neurophysiological levels, the processing of the location parameter in French Belgian SL to that of the rhyme in oral French. Ten hearing and 10 profoundly deaf adults performed a rhyme judgment task in OL and a similarity judgment on location in SL. Stimuli were pairs of pictures. As regards OL, deaf subjects' performances, although above chance level, were significantly lower than that of hearing subjects, suggesting that a metaphonological analysis is possible for deaf people but rests on phonological representations that are less precise than in hearing people. As regards SL, deaf subjects scores indicated that a metaphonological judgment may be performed on location. The contingent negative variation (CNV) evoked by the first picture of a pair was similar in hearing subjects in OL and in deaf subjects in OL and SL. However, an N400 evoked by the second picture of the non-rhyming pairs was evidenced only in hearing subjects in OL. The absence of N400 in deaf subjects may be interpreted as the failure to associate two words according to their rhyme in OL or to their location in SL. Although deaf participants can perform metaphonological judgments in OL, they differ from hearing participants both behaviorally and in ERP. Judgment of location in SL is possible for deaf signers, but, contrary to rhyme judgment in hearing participants, does not elicit any N400. Copyright © 2013 Elsevier Masson SAS. All rights reserved.

  20. THE USE OF SOCIAL NETWORKS IN THE PROCESS OF LEARNING ENGLISH AS A SECOND LANGUAGE

    Directory of Open Access Journals (Sweden)

    Halyna I. Sotska

    2018-02-01

    Full Text Available In the recent decade many changes in the process of education took place because of the development of information and communication technologies. Online social groups tend to be used by teachers and students for formal (study and informal (personal communication purposes. An efficient teacher may turn social networks into an effective tool, encouraging students to communicate in the target language. With the help of social networks the teacher can activate students in the process of learning, create situations for better understanding and perceiving the material. The use of such approaches as blended learning, corporative learning and active learning helps make the classes more attractive and effective. Moreover, social networks can help in the development of students’ creativity, provision of feedback and cooperative learning. The article deals with the question of influence of Massive online open courses on effectiveness of the educational process for students who learn English as a second language.

  1. Factors that aff ect the learning process of a foreign language

    Directory of Open Access Journals (Sweden)

    Elsa Vula

    2017-11-01

    Full Text Available Learning as a complicated process and very significant one is followed by different influencers that cause different problems due to students’ performance in learning a foreign language. In order to work and try to eliminate such factors we have to detect which are the factors that we as teachers, professors, assistants, have to carry on during the process of teaching. This theoretical research paper will provide scientific data due to different factors that affect learning process of foreign language that were conducted in different places among the world. The researches that are selected are coherently linked with the aim of this scientific c paper and have ensured results from cases studies, quantitative research, and empirical research.

  2. Molecular responses during cadmium-induced stress in Daphnia magna: Integration of differential gene expression with higher-level effects

    Energy Technology Data Exchange (ETDEWEB)

    Soetaert, Anneleen [Department of Biology, Laboratory for Ecophysiology, Biochemistry and Toxicology, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp (Belgium)]. E-mail: anneleen.soetaert@ua.ac.be; Vandenbrouck, Tine [Department of Biology, Laboratory for Ecophysiology, Biochemistry and Toxicology, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp (Belgium); Ven, Karlijn van der [Department of Biology, Laboratory for Ecophysiology, Biochemistry and Toxicology, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp (Belgium); Maras, Marleen [Department of Biology, Laboratory for Ecophysiology, Biochemistry and Toxicology, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp (Belgium); Remortel, Piet van [Department of Mathematics and Informatics, Intelligent Systems Laboratory, University of Antwerp, Middelheimlaan 1, B-2020 Antwerp (Belgium); Blust, Ronny [Department of Biology, Laboratory for Ecophysiology, Biochemistry and Toxicology, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp (Belgium); Coen, Wim M. de [Department of Biology, Laboratory for Ecophysiology, Biochemistry and Toxicology, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp (Belgium)

    2007-07-20

    DNA microarrays offer great potential in revealing insight into mechanistic toxicity of contaminants. The aim of the present study was (i) to gain insight in concentration- and time-dependent cadmium-induced molecular responses by using a customized Daphnia magna microarray, and (ii) to compare the gene expression profiles with effects at higher levels of biological organization (e.g. total energy budget and growth). Daphnids were exposed to three cadmium concentrations (nominal value of 10, 50, 100 {mu}g/l) for two time intervals (48 and 96 h). In general, dynamic expression patterns were obtained with a clear increase of gene expression changes at higher concentrations and longer exposure duration. Microarray analysis revealed cadmium affected molecular pathways associated with processes such as digestion, oxygen transport, cuticula metabolism and embryo development. These effects were compared with higher-level effects (energy budgets and growth). For instance, next to reduced energy budgets due to a decline in lipid, carbohydrate and protein content, we found an up-regulated expression of genes related to digestive processes (e.g. {alpha}-esterase, cellulase, {alpha}-amylase). Furthermore, cadmium affected the expression of genes coding for proteins involved in molecular pathways associated with immune response, stress response, cell adhesion, visual perception and signal transduction in the present study.

  3. Grammatical number processing and anticipatory eye movements are not tightly coordinated in English spoken language comprehension

    Directory of Open Access Journals (Sweden)

    Brian eRiordan

    2015-05-01

    Full Text Available Recent studies of eye movements in world-situated language comprehension have demonstrated that rapid processing of morphosyntactic information – e.g., grammatical gender and number marking – can produce anticipatory eye movements to referents in the visual scene. We investigated how type of morphosyntactic information and the goals of language users in comprehension affected eye movements, focusing on the processing of grammatical number morphology in English-speaking adults. Participants’ eye movements were recorded as they listened to simple English declarative (There are the lions. and interrogative (Where are the lions? sentences. In Experiment 1, no differences were observed in speed to fixate target referents when grammatical number information was informative relative to when it was not. The same result was obtained in a speeded task (Experiment 2 and in a task using mixed sentence types (Experiment 3. We conclude that grammatical number processing in English and eye movements to potential referents are not tightly coordinated. These results suggest limits on the role of predictive eye movements in concurrent linguistic and scene processing. We discuss how these results can inform and constrain predictive approaches to language processing.

  4. Processing structure in language and music: a case for shared reliance on cognitive control.

    Science.gov (United States)

    Slevc, L Robert; Okada, Brooke M

    2015-06-01

    The relationship between structural processing in music and language has received increasing interest in the past several years, spurred by the influential Shared Syntactic Integration Resource Hypothesis (SSIRH; Patel, Nature Neuroscience, 6, 674-681, 2003). According to this resource-sharing framework, music and language rely on separable syntactic representations but recruit shared cognitive resources to integrate these representations into evolving structures. The SSIRH is supported by findings of interactions between structural manipulations in music and language. However, other recent evidence suggests that such interactions also can arise with nonstructural manipulations, and some recent neuroimaging studies report largely nonoverlapping neural regions involved in processing musical and linguistic structure. These conflicting results raise the question of exactly what shared (and distinct) resources underlie musical and linguistic structural processing. This paper suggests that one shared resource is prefrontal cortical mechanisms of cognitive control, which are recruited to detect and resolve conflict that occurs when expectations are violated and interpretations must be revised. By this account, musical processing involves not just the incremental processing and integration of musical elements as they occur, but also the incremental generation of musical predictions and expectations, which must sometimes be overridden and revised in light of evolving musical input.

  5. Syntactic processing in music and language: Effects of interrupting auditory streams with alternating timbres.

    Science.gov (United States)

    Fiveash, Anna; Thompson, William Forde; Badcock, Nicholas A; McArthur, Genevieve

    2018-07-01

    Music and language both rely on the processing of spectral (pitch, timbre) and temporal (rhythm) information to create structure and meaning from incoming auditory streams. Behavioral results have shown that interrupting a melodic stream with unexpected changes in timbre leads to reduced syntactic processing. Such findings suggest that syntactic processing is conditional on successful streaming of incoming sequential information. The current study used event-related potentials (ERPs) to investigate whether (1) the effect of alternating timbres on syntactic processing is reflected in a reduced brain response to syntactic violations, and (2) the phenomenon is similar for music and language. Participants listened to melodies and sentences with either one timbre (piano or one voice) or three timbres (piano, guitar, and vibraphone, or three different voices). Half the stimuli contained syntactic violations: an out-of-key note in the melodies, and a phrase-structure violation in the sentences. We found smaller ERPs to syntactic violations in music in the three-timbre compared to the one-timbre condition, reflected in a reduced early right anterior negativity (ERAN). A similar but non-significant pattern was observed for language stimuli in both the early left anterior negativity (ELAN) and the left anterior negativity (LAN) ERPs. The results suggest that disruptions to auditory streaming may interfere with syntactic processing, especially for melodic sequences. Copyright © 2018 Elsevier B.V. All rights reserved.

  6. Internal mechanisms underlying anticipatory language processing: Evidence from event-related-potentials and neural oscillations.

    Science.gov (United States)

    Li, Xiaoqing; Zhang, Yuping; Xia, Jinyan; Swaab, Tamara Y

    2017-07-28

    Although numerous studies have demonstrated that the language processing system can predict upcoming content during comprehension, there is still no clear picture of the anticipatory stage of predictive processing. This electroencephalograph study examined the cognitive and neural oscillatory mechanisms underlying anticipatory processing during language comprehension, and the consequences of this prediction for bottom-up processing of predicted/unpredicted content. Participants read Mandarin Chinese sentences that were either strongly or weakly constraining and that contained critical nouns that were congruent or incongruent with the sentence contexts. We examined the effects of semantic predictability on anticipatory processing prior to the onset of the critical nouns and on integration of the critical nouns. The results revealed that, at the integration stage, the strong-constraint condition (compared to the weak-constraint condition) elicited a reduced N400 and reduced theta activity (4-7Hz) for the congruent nouns, but induced beta (13-18Hz) and theta (4-7Hz) power decreases for the incongruent nouns, indicating benefits of confirmed predictions and potential costs of disconfirmed predictions. More importantly, at the anticipatory stage, the strongly constraining context elicited an enhanced sustained anterior negativity and beta power decrease (19-25Hz), which indicates that strong prediction places a higher processing load on the anticipatory stage of processing. The differences (in the ease of processing and the underlying neural oscillatory activities) between anticipatory and integration stages of lexical processing were discussed with regard to predictive processing models. Copyright © 2017 Elsevier Ltd. All rights reserved.

  7. ACTION OF UNIFORM SEARCH ALGORITHM WHEN SELECTING LANGUAGE UNITS IN THE PROCESS OF SPEECH

    Directory of Open Access Journals (Sweden)

    Ирина Михайловна Некипелова

    2013-05-01

    Full Text Available The article is devoted to research of action of uniform search algorithm when selecting by human of language units for speech produce. The process is connected with a speech optimization phenomenon. This makes it possible to shorten the time of cogitation something that human want to say, and to achieve the maximum precision in thoughts expression. The algorithm of uniform search works at consciousness  and subconsciousness levels. It favours the forming of automatism produce and perception of speech. Realization of human's cognitive potential in the process of communication starts up complicated mechanism of self-organization and self-regulation of language. In turn, it results in optimization of language system, servicing needs not only human's self-actualization but realization of communication in society. The method of problem-oriented search is used for researching of optimization mechanisms, which are distinctive to speech producing and stabilization of language.DOI: http://dx.doi.org/10.12731/2218-7405-2013-4-50

  8. Electrophysiological Correlates of Error Monitoring and Feedback Processing in Second Language Learning.

    Science.gov (United States)

    Bultena, Sybrine; Danielmeier, Claudia; Bekkering, Harold; Lemhöfer, Kristin

    2017-01-01

    Humans monitor their behavior to optimize performance, which presumably relies on stable representations of correct responses. During second language (L2) learning, however, stable representations have yet to be formed while knowledge of the first language (L1) can interfere with learning, which in some cases results in persistent errors. In order to examine how correct L2 representations are stabilized, this study examined performance monitoring in the learning process of second language learners for a feature that conflicts with their first language. Using EEG, we investigated if L2 learners in a feedback-guided word gender assignment task showed signs of error detection in the form of an error-related negativity (ERN) before and after receiving feedback, and how feedback is processed. The results indicated that initially, response-locked negativities for correct (CRN) and incorrect (ERN) responses were of similar size, showing a lack of internal error detection when L2 representations are unstable. As behavioral performance improved following feedback, the ERN became larger than the CRN, pointing to the first signs of successful error detection. Additionally, we observed a second negativity following the ERN/CRN components, the amplitude of which followed a similar pattern as the previous negativities. Feedback-locked data indicated robust FRN and P300 effects in response to negative feedback across different rounds, demonstrating that feedback remained important in order to update memory representations during learning. We thus show that initially, L2 representations may often not be stable enough to warrant successful error monitoring, but can be stabilized through repeated feedback, which means that the brain is able to overcome L1 interference, and can learn to detect errors internally after a short training session. The results contribute a different perspective to the discussion on changes in ERN and FRN components in relation to learning, by extending the

  9. Sound to language: different cortical processing for first and second languages in elementary school children as revealed by a large-scale study using fNIRS.

    Science.gov (United States)

    Sugiura, Lisa; Ojima, Shiro; Matsuba-Kurita, Hiroko; Dan, Ippeita; Tsuzuki, Daisuke; Katura, Takusige; Hagiwara, Hiroko

    2011-10-01

    A large-scale study of 484 elementary school children (6-10 years) performing word repetition tasks in their native language (L1-Japanese) and a second language (L2-English) was conducted using functional near-infrared spectroscopy. Three factors presumably associated with cortical activation, language (L1/L2), word frequency (high/low), and hemisphere (left/right), were investigated. L1 words elicited significantly greater brain activation than L2 words, regardless of semantic knowledge, particularly in the superior/middle temporal and inferior parietal regions (angular/supramarginal gyri). The greater L1-elicited activation in these regions suggests that they are phonological loci, reflecting processes tuned to the phonology of the native language, while phonologically unfamiliar L2 words were processed like nonword auditory stimuli. The activation was bilateral in the auditory and superior/middle temporal regions. Hemispheric asymmetry was observed in the inferior frontal region (right dominant), and in the inferior parietal region with interactions: low-frequency words elicited more right-hemispheric activation (particularly in the supramarginal gyrus), while high-frequency words elicited more left-hemispheric activation (particularly in the angular gyrus). The present results reveal the strong involvement of a bilateral language network in children's brains depending more on right-hemispheric processing while acquiring unfamiliar/low-frequency words. A right-to-left shift in laterality should occur in the inferior parietal region, as lexical knowledge increases irrespective of language.

  10. Higher Language Ability is Related to Angular Gyrus Activation Increase During Semantic Processing, Independent of Sentence Incongruency

    Science.gov (United States)

    Van Ettinger-Veenstra, Helene; McAllister, Anita; Lundberg, Peter; Karlsson, Thomas; Engström, Maria

    2016-01-01

    This study investigates the relation between individual language ability and neural semantic processing abilities. Our aim was to explore whether high-level language ability would correlate to decreased activation in language-specific regions or rather increased activation in supporting language regions during processing of sentences. Moreover, we were interested if observed neural activation patterns are modulated by semantic incongruency similarly to previously observed changes upon syntactic congruency modulation. We investigated 27 healthy adults with a sentence reading task—which tapped language comprehension and inference, and modulated sentence congruency—employing functional magnetic resonance imaging (fMRI). We assessed the relation between neural activation, congruency modulation, and test performance on a high-level language ability assessment with multiple regression analysis. Our results showed increased activation in the left-hemispheric angular gyrus extending to the temporal lobe related to high language ability. This effect was independent of semantic congruency, and no significant relation between language ability and incongruency modulation was observed. Furthermore, there was a significant increase of activation in the inferior frontal gyrus (IFG) bilaterally when the sentences were incongruent, indicating that processing incongruent sentences was more demanding than processing congruent sentences and required increased activation in language regions. The correlation of high-level language ability with increased rather than decreased activation in the left angular gyrus, a region specific for language processing, is opposed to what the neural efficiency hypothesis would predict. We can conclude that no evidence is found for an interaction between semantic congruency related brain activation and high-level language performance, even though the semantic incongruent condition shows to be more demanding and evoking more neural activation. PMID

  11. Higher language ability is related to angular gyrus activation increase during semantic processing, independent of sentence incongruency

    Directory of Open Access Journals (Sweden)

    Helene eVan Ettinger-Veenstra

    2016-03-01

    Full Text Available This study investigates the relation between individual language ability and neural semantic processing abilities. Our aim was to explore whether high-level language ability would correlate to decreased activation in language-specific regions or rather increased activation in supporting language regions during processing of sentences. Moreover, we were interested if observed neural activation patterns are modulated by semantic incongruency similarly to previously observed changes upon syntactic congruency modulation. We investigated 27 healthy adults with a sentence reading task - which tapped language comprehension and inference, and modulated sentence congruency - employing functional magnetic resonance imaging. We assessed the relation between neural activation, congruency modulation, and test performance on a high-level language ability assessment with multiple regression analysis. Our results showed increased activation in the left-hemispheric angular gyrus extending to the temporal lobe related to high language ability. This effect was independent of semantic congruency, and no significant relation between language ability and incongruency modulation was observed. Furthermore, a significant increase of activation in the inferior frontal gyrus bilaterally when the sentences were incongruent, indicating that processing incongruent sentences was more demanding than processing congruent sentences and required increased activation in language regions. The correlation of high-level language ability with increased rather than decreased activation in the left angular gyrus, a region specific for language processing is opposed to what the neural efficiency hypothesis would predict. We can conclude that there is no evidence found for an interaction between semantic congruency related brain activation and high-level language performance, even though the semantic incongruent condition shows to be more demanding and evoking more neural activation.

  12. Brain function differences in language processing in children and adults with autism.

    Science.gov (United States)

    Williams, Diane L; Cherkassky, Vladimir L; Mason, Robert A; Keller, Timothy A; Minshew, Nancy J; Just, Marcel Adam

    2013-08-01

    Comparison of brain function between children and adults with autism provides an understanding of the effects of the disorder and associated maturational differences on language processing. Functional imaging (functional magnetic resonance imaging) was used to examine brain activation and cortical synchronization during the processing of literal and ironic texts in 15 children with autism, 14 children with typical development, 13 adults with autism, and 12 adult controls. Both the children and adults with autism had lower functional connectivity (synchronization of brain activity among activated areas) than their age and ability comparison group in the left hemisphere language network during irony processing, and neither autism group had an increase in functional connectivity in response to increased task demands. Activation differences for the literal and irony conditions occurred in key language-processing regions (left middle temporal, left pars triangularis, left pars opercularis, left medial frontal, and right middle temporal). The children and adults with autism differed from each other in the use of some brain regions during the irony task, with the adults with autism having activation levels similar to those of the control groups. Overall, the children and adults with autism differed from the adult and child controls in (a) the degree of network coordination, (b) the distribution of the workload among member nodes, and (3) the dynamic recruitment of regions in response to text content. Moreover, the differences between the two autism age groups may be indicative of positive changes in the neural function related to language processing associated with maturation and/or educational experience. © 2013 International Society for Autism Research, Wiley Periodicals, Inc.

  13. Diminished Auditory Responses during NREM Sleep Correlate with the Hierarchy of Language Processing.

    Directory of Open Access Journals (Sweden)

    Meytal Wilf

    Full Text Available Natural sleep provides a powerful model system for studying the neuronal correlates of awareness and state changes in the human brain. To quantitatively map the nature of sleep-induced modulations in sensory responses we presented participants with auditory stimuli possessing different levels of linguistic complexity. Ten participants were scanned using functional magnetic resonance imaging (fMRI during the waking state and after falling asleep. Sleep staging was based on heart rate measures validated independently on 20 participants using concurrent EEG and heart rate measurements and the results were confirmed using permutation analysis. Participants were exposed to three types of auditory stimuli: scrambled sounds, meaningless word sentences and comprehensible sentences. During non-rapid eye movement (NREM sleep, we found diminishing brain activation along the hierarchy of language processing, more pronounced in higher processing regions. Specifically, the auditory thalamus showed similar activation levels during sleep and waking states, primary auditory cortex remained activated but showed a significant reduction in auditory responses during sleep, and the high order language-related representation in inferior frontal gyrus (IFG cortex showed a complete abolishment of responses during NREM sleep. In addition to an overall activation decrease in language processing regions in superior temporal gyrus and IFG, those areas manifested a loss of semantic selectivity during NREM sleep. Our results suggest that the decreased awareness to linguistic auditory stimuli during NREM sleep is linked to diminished activity in high order processing stations.

  14. Diminished Auditory Responses during NREM Sleep Correlate with the Hierarchy of Language Processing.

    Science.gov (United States)

    Wilf, Meytal; Ramot, Michal; Furman-Haran, Edna; Arzi, Anat; Levkovitz, Yechiel; Malach, Rafael

    2016-01-01

    Natural sleep provides a powerful model system for studying the neuronal correlates of awareness and state changes in the human brain. To quantitatively map the nature of sleep-induced modulations in sensory responses we presented participants with auditory stimuli possessing different levels of linguistic complexity. Ten participants were scanned using functional magnetic resonance imaging (fMRI) during the waking state and after falling asleep. Sleep staging was based on heart rate measures validated independently on 20 participants using concurrent EEG and heart rate measurements and the results were confirmed using permutation analysis. Participants were exposed to three types of auditory stimuli: scrambled sounds, meaningless word sentences and comprehensible sentences. During non-rapid eye movement (NREM) sleep, we found diminishing brain activation along the hierarchy of language processing, more pronounced in higher processing regions. Specifically, the auditory thalamus showed similar activation levels during sleep and waking states, primary auditory cortex remained activated but showed a significant reduction in auditory responses during sleep, and the high order language-related representation in inferior frontal gyrus (IFG) cortex showed a complete abolishment of responses during NREM sleep. In addition to an overall activation decrease in language processing regions in superior temporal gyrus and IFG, those areas manifested a loss of semantic selectivity during NREM sleep. Our results suggest that the decreased awareness to linguistic auditory stimuli during NREM sleep is linked to diminished activity in high order processing stations.

  15. Systems Biology Graphical Notation: Process Description language Level 1 Version 1.3.

    Science.gov (United States)

    Moodie, Stuart; Le Novère, Nicolas; Demir, Emek; Mi, Huaiyu; Villéger, Alice

    2015-09-04

    The Systems Biological Graphical Notation (SBGN) is an international community effort for standardized graphical representations of biological pathways and networks. The goal of SBGN is to provide unambiguous pathway and network maps for readers with different scientific backgrounds as well as to support efficient and accurate exchange of biological knowledge between different research communities, industry, and other players in systems biology. Three SBGN languages, Process Description (PD), Entity Relationship (ER) and Activity Flow (AF), allow for the representation of different aspects of biological and biochemical systems at different levels of detail. The SBGN Process Description language represents biological entities and processes between these entities within a network. SBGN PD focuses on the mechanistic description and temporal dependencies of biological interactions and transformations. The nodes (elements) are split into entity nodes describing, e.g., metabolites, proteins, genes and complexes, and process nodes describing, e.g., reactions and associations. The edges (connections) provide descriptions of relationships (or influences) between the nodes, such as consumption, production, stimulation and inhibition. Among all three languages of SBGN, PD is the closest to metabolic and regulatory pathways in biological literature and textbooks, but its well-defined semantics offer a superior precision in expressing biological knowledge.

  16. A case of "order insensitivity"? Natural and artificial language processing in a man with primary progressive aphasia.

    OpenAIRE

    Zimmerer, V. C.; Varley, R. A.

    2015-01-01

    Processing of linear word order (linear configuration) is important for virtually all languages and essential to languages such as English which have little functional morphology. Damage to systems underpinning configurational processing may specifically affect word-order reliant sentence structures. We explore order processing in WR, a man with primary progressive aphasia (PPA). In a previous report, we showed how WR showed impaired processing of actives, which rely strongly on word order, b...

  17. Neuroimaging of language processes: fMRI of silent and overt lexical processing and the promise of multiple process imaging in single brain studies

    International Nuclear Information System (INIS)

    Borowsky, R.; Owen, W.J.; Wile, T.L.; Friesen, C.K.; Martin, J.L.; Sarty, G.E.

    2005-01-01

    To implement and evaluate a multiple-process functional magnetic resonance imaging (fMRI) paradigm designed to effectively and efficiently activate several language-related regions for use with neurosurgical patients. Both overt and covert response conditions were examined. The fMRI experiments compared the traditional silent word-generation condition versus an overt one as they engage frontal language regions (Experiment 1) and silent versus overt semantic association conditions as they engage multiple language processing regions (Experiment 2). In Experiment 1 the overt condition yielded greater magnitude of activation, but not volume of activation, in the left inferior frontal and insular cortices than did the silent condition for most, but not all, participants. Experiment 2 demonstrated that the activation of multiple established language processing regions (ie, orthographic, phonological and semantic) can be achieved in a significant number of participants, particularly under overt semantic association conditions and that such activation varies in predictable ways. The traditional silent response condition cannot be considered as equivalent to the overt response condition during word generation or semantic association. The multiple-process imaging method introduced here was sensitive to processing robust orthographic, phonological, and semantic regions, particularly under the overt response condition. (author)

  18. Using Unified Modelling Language (UML) as a process-modelling technique for clinical-research process improvement.

    Science.gov (United States)

    Kumarapeli, P; De Lusignan, S; Ellis, T; Jones, B

    2007-03-01

    The Primary Care Data Quality programme (PCDQ) is a quality-improvement programme which processes routinely collected general practice computer data. Patient data collected from a wide range of different brands of clinical computer systems are aggregated, processed, and fed back to practices in an educational context to improve the quality of care. Process modelling is a well-established approach used to gain understanding and systematic appraisal, and identify areas of improvement of a business process. Unified modelling language (UML) is a general purpose modelling technique used for this purpose. We used UML to appraise the PCDQ process to see if the efficiency and predictability of the process could be improved. Activity analysis and thinking-aloud sessions were used to collect data to generate UML diagrams. The UML model highlighted the sequential nature of the current process as a barrier for efficiency gains. It also identified the uneven distribution of process controls, lack of symmetric communication channels, critical dependencies among processing stages, and failure to implement all the lessons learned in the piloting phase. It also suggested that improved structured reporting at each stage - especially from the pilot phase, parallel processing of data and correctly positioned process controls - should improve the efficiency and predictability of research projects. Process modelling provided a rational basis for the critical appraisal of a clinical data processing system; its potential maybe underutilized within health care.

  19. When too many vowels impede language processing: The case of Danish

    DEFF Research Database (Denmark)

    Trecca, Fabio; Christiansen, Morten Hyllekvist; Bleses, Dorthe

    development, knowing about 100 fewer words at age 1;3 than children acquiring other languages. This finding has generally been attributed to the complex phonetic structure of Danish, characterized by a uniquely large inventory of vowel-like sounds. This results in indistinct syllable and word boundaries......, which might hinder word segmentation and acquisition1-5. To explore this hypothesis empirically, we used online measures of language processing to investigate to what extent contoids (obstruents and nasal/lateral consonants) and vocoids (vowels and semivowels) play a differential effect on processing...... words in context. Using the looking-while-listening procedure7, we measured accuracy and latency of children’s gaze at yoked pairs of pictures as they listened to speech naming one of the two objects on screen. As stimuli, we selected frequently occurring Danish nouns and child-directed expressions...

  20. The association between aerobic fitness and language processing in children: implications for academic achievement.

    Science.gov (United States)

    Scudder, Mark R; Federmeier, Kara D; Raine, Lauren B; Direito, Artur; Boyd, Jeremy K; Hillman, Charles H

    2014-06-01

    Event-related brain potentials (ERPs) have been instrumental for discerning the relationship between children's aerobic fitness and aspects of cognition, yet language processing remains unexplored. ERPs linked to the processing of semantic information (the N400) and the analysis of language structure (the P600) were recorded from higher and lower aerobically fit children as they read normal sentences and those containing semantic or syntactic violations. Results revealed that higher fit children exhibited greater N400 amplitude and shorter latency across all sentence types, and a larger P600 effect for syntactic violations. Such findings suggest that higher fitness may be associated with a richer network of words and their meanings, and a greater ability to detect and/or repair syntactic errors. The current findings extend previous ERP research explicating the cognitive benefits associated with greater aerobic fitness in children and may have important implications for learning and academic performance. Published by Elsevier Inc.

  1. Natural language processing-based COTS software and related technologies survey.

    Energy Technology Data Exchange (ETDEWEB)

    Stickland, Michael G.; Conrad, Gregory N.; Eaton, Shelley M.

    2003-09-01

    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.

  2. On the functional relationship between language and motor processing in typewriting: an EEG study

    OpenAIRE

    Scaltritti, Michele; Pinet, Svetlana; Longcamp, Marieke; Alario, F-Xavier

    2017-01-01

    International audience; The functional relationship between language and motor processing was investigated to elucidate whether it is better described in terms of a discrete or a continuous account of information flow. To this end, we recorded event-related potentials during a typewriting task that combined a semantic priming paradigm with a manipulation of response side (response initiated with right vs. left hand), and focused on the lateralised potentials indexing motor-response activation...

  3. Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach

    OpenAIRE

    Weng, Wei-Hung; Wagholikar, Kavishwar B.; McCray, Alexa T.; Szolovits, Peter; Chueh, Henry C.

    2017-01-01

    Background The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note accurately, we have constructed a machine learning-based natural language processing (NLP) pipeline and developed medical subdomain classifiers based on the content of the note. Methods We constructed the pipeline using the clinical ...

  4. Laboratory process control using natural language commands from a personal computer

    Science.gov (United States)

    Will, Herbert A.; Mackin, Michael A.

    1989-01-01

    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.

  5. New Levels of Language Processing Complexity and Organization Revealed by Granger Causation

    OpenAIRE

    Gow, David W.; Caplan, David N.

    2012-01-01

    Granger causation analysis of high spatiotemporal resolution reconstructions of brain activation offers a new window on the dynamic interactions between brain areas that support language processing. Premised on the observation that causes both precede and uniquely predict their effects, this approach provides an intuitive, model-free means of identifying directed causal interactions in the brain. It requires the analysis of all non-redundant potentially interacting signals, and has shown that...

  6. Cochlear implants and spoken language processing abilities: review and assessment of the literature.

    Science.gov (United States)

    Peterson, Nathaniel R; Pisoni, David B; Miyamoto, Richard T

    2010-01-01

    Cochlear implants (CIs) process sounds electronically and then transmit electric stimulation to the cochlea of individuals with sensorineural deafness, restoring some sensation of auditory perception. Many congenitally deaf CI recipients achieve a high degree of accuracy in speech perception and develop near-normal language skills. Post-lingually deafened implant recipients often regain the ability to understand and use spoken language with or without the aid of visual input (i.e. lip reading). However, there is wide variation in individual outcomes following cochlear implantation, and some CI recipients never develop useable speech and oral language skills. The causes of this enormous variation in outcomes are only partly understood at the present time. The variables most strongly associated with language outcomes are age at implantation and mode of communication in rehabilitation. Thus, some of the more important factors determining success of cochlear implantation are broadly related to neural plasticity that appears to be transiently present in deaf individuals. In this article we review the expected outcomes of cochlear implantation, potential predictors of those outcomes, the basic science regarding critical and sensitive periods, and several new research directions in the field of cochlear implantation.

  7. Multimodal imaging of temporal processing in typical and atypical language development.

    Science.gov (United States)

    Kovelman, Ioulia; Wagley, Neelima; Hay, Jessica S F; Ugolini, Margaret; Bowyer, Susan M; Lajiness-O'Neill, Renee; Brennan, Jonathan

    2015-03-01

    New approaches to understanding language and reading acquisition propose that the human brain's ability to synchronize its neural firing rate to syllable-length linguistic units may be important to children's ability to acquire human language. Yet, little evidence from brain imaging studies has been available to support this proposal. Here, we summarize three recent brain imaging (functional near-infrared spectroscopy (fNIRS), functional magnetic resonance imaging (fMRI), and magnetoencephalography (MEG)) studies from our laboratories with young English-speaking children (aged 6-12 years). In the first study (fNIRS), we used an auditory beat perception task to show that, in children, the left superior temporal gyrus (STG) responds preferentially to rhythmic beats at 1.5 Hz. In the second study (fMRI), we found correlations between children's amplitude rise-time sensitivity, phonological awareness, and brain activation in the left STG. In the third study (MEG), typically developing children outperformed children with autism spectrum disorder in extracting words from rhythmically rich foreign speech and displayed different brain activation during the learning phase. The overall findings suggest that the efficiency with which left temporal regions process slow temporal (rhythmic) information may be important for gains in language and reading proficiency. These findings carry implications for better understanding of the brain's mechanisms that support language and reading acquisition during both typical and atypical development. © 2014 New York Academy of Sciences.

  8. Transgenic tobacco plants having a higher level of methionine are more sensitive to oxidative stress.

    Science.gov (United States)

    Hacham, Yael; Matityahu, Ifat; Amir, Rachel

    2017-07-01

    Methionine is an essential amino acid the low level of which limits the nutritional quality of plants. We formerly produced transgenic tobacco (Nicotiana tabacum) plants overexpressing CYSTATHIONE γ-SYNTHASE (CGS) (FA plants), methionine's main regulatory enzyme. These plants accumulate significantly higher levels of methionine compared with wild-type (WT) plants. The aim of this study was to gain more knowledge about the effect of higher methionine content on the metabolic profile of vegetative tissue and on the morphological and physiological phenotypes. FA plants exhibit slightly reduced growth, and metabolic profiling analysis shows that they have higher contents of stress-related metabolites. Despite this, FA plants were more sensitive to short- and long-term oxidative stresses. In addition, compared with WT plants and transgenic plants expressing an empty vector, the primary metabolic profile of FA was altered less during oxidative stress. Based on morphological and metabolic phenotypes, we strongly proposed that FA plants having higher levels of methionine suffer from stress under non-stress conditions. This might be one of the reasons for their lesser ability to cope with oxidative stress when it appeared. The observation that their metabolic profiling is much less responsive to stress compared with control plants indicates that the delta changes in metabolite contents between non-stress and stress conditions is important for enabling the plants to cope with stress conditions. © 2017 Scandinavian Plant Physiology Society.

  9. Gender in higher level education and professional training in water supply and sanitation.

    Science.gov (United States)

    Borba, M

    1997-01-01

    While more women are participating in training and decision-making in the local-level drinking water and sanitation sectors, this is not occurring at higher levels because of the gender imbalance that remains in higher-level sector education and professional training programs. This imbalance is characterized by gender-biased science curricula and by a lack of female role models. Even in developing countries where female enrollment outstrips that of men in higher education, women commonly prepare for careers in areas that are less valued than sanitary engineering. This imbalance ignores the fact that women can perform technical and managerial skills as competently as men. A similar male-dominated pattern emerges in professional training courses offered by development agencies, especially courses that focus on management issues. Low female school attendance begins when girls must forego primary school attendance to help their mothers in domestic chores, such as fetching water. Inadequate sanitation facilities for girls at schools also pose impediments. Efforts to improve this situation include 1) a promotional brochure developed by the Botswana Ministry of Education to raise awareness of the importance of men's and women's work as technicians and engineers in the water and sanitation sector among secondary school students; 2) creation of free schools and universities in Oman, where the numbers of women in previously male-dominated jobs are increasing; and 3) promotion of female education at the Asian Institute of Technology.

  10. Combining Different Tools for EEG Analysis to Study the Distributed Character of Language Processing

    Directory of Open Access Journals (Sweden)

    Armando Freitas da Rocha

    2015-01-01

    Full Text Available Recent studies on language processing indicate that language cognition is better understood if assumed to be supported by a distributed intelligent processing system enrolling neurons located all over the cortex, in contrast to reductionism that proposes to localize cognitive functions to specific cortical structures. Here, brain activity was recorded using electroencephalogram while volunteers were listening or reading small texts and had to select pictures that translate meaning of these texts. Several techniques for EEG analysis were used to show this distributed character of neuronal enrollment associated with the comprehension of oral and written descriptive texts. Low Resolution Tomography identified the many different sets (si of neurons activated in several distinct cortical areas by text understanding. Linear correlation was used to calculate the information H(ei provided by each electrode of the 10/20 system about the identified si. H(ei Principal Component Analysis (PCA was used to study the temporal and spatial activation of these sources si. This analysis evidenced 4 different patterns of H(ei covariation that are generated by neurons located at different cortical locations. These results clearly show that the distributed character of language processing is clearly evidenced by combining available EEG technologies.

  11. Processing language in face-to-face conversation: Questions with gestures get faster responses.

    Science.gov (United States)

    Holler, Judith; Kendrick, Kobin H; Levinson, Stephen C

    2017-09-08

    The home of human language use is face-to-face interaction, a context in which communicative exchanges are characterised not only by bodily signals accompanying what is being said but also by a pattern of alternating turns at talk. This transition between turns is astonishingly fast-typically a mere 200-ms elapse between a current and a next speaker's contribution-meaning that comprehending, producing, and coordinating conversational contributions in time is a significant challenge. This begs the question of whether the additional information carried by bodily signals facilitates or hinders language processing in this time-pressured environment. We present analyses of multimodal conversations revealing that bodily signals appear to profoundly influence language processing in interaction: Questions accompanied by gestures lead to shorter turn transition times-that is, to faster responses-than questions without gestures, and responses come earlier when gestures end before compared to after the question turn has ended. These findings hold even after taking into account prosodic patterns and other visual signals, such as gaze. The empirical findings presented here provide a first glimpse of the role of the body in the psycholinguistic processes underpinning human communication.

  12. Role of medial premotor areas in action language processing in relation to motor skills.

    Science.gov (United States)

    Courson, Melody; Macoir, Joël; Tremblay, Pascale

    2017-10-01

    The literature reports that the supplementary motor area (SMA) and pre-supplementary motor area (pre-SMA) are involved in motor planning and execution, and in motor-related cognitive functions such as motor imagery. However, their specific role in action language processing remains unclear. In the present study, we investigated the impact of repetitive transcranial magnetic stimulation (rTMS) over SMA and pre-SMA during an action semantic analogy task (SAT) in relation with fine motor skills (i.e., manual dexterity) and motor imagery abilities in healthy non-expert adults. The impact of rTMS over SMA (but not pre-SMA) on reaction times (RT) during SAT was correlated with manual dexterity. Specifically, results show that rTMS over SMA modulated RT for those with lower dexterity skills. Our results therefore demonstrate a causal involvement of SMA in action language processing, as well as the existence of inter-individual differences in this involvement. We discuss these findings in light of neurolinguistic theories of language processing. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. The role of the episodic buffer in working memory for language processing.

    Science.gov (United States)

    Rudner, Mary; Rönnberg, Jerker

    2008-03-01

    A body of work has accumulated to show that the cognitive process of binding information from different mnemonic and sensory sources as well as in different linguistic modalities can be fractionated from general executive functions in working memory both functionally and neurally. This process has been defined in terms of the episodic buffer (Baddeley in Trends Cogn Sci 4(11):417-423, 2000). This paper considers behavioural, neuropsychological and neuroimaging data that elucidate the role of the episodic buffer in language processing. We argue that the episodic buffer seems to be truly multimodal in function and that while formation of unitary multidimensional representations in the episodic buffer seems to engage posterior neural networks, maintenance of such representations is supported by frontal networks. Although, the episodic buffer is not necessarily supported by executive processes and seems to be supported by different neural networks, it may operate in tandem with the central executive during effortful language processing. There is also evidence to suggest engagement of the phonological loop during buffer processing. The hippocampus seems to play a role in formation but not maintenance of representations in the episodic buffer of working memory.

  14. Influence of musical expertise and musical training on pitch processing in music and language.

    Science.gov (United States)

    Besson, Mireille; Schön, Daniele; Moreno, Sylvain; Santos, Andréia; Magne, Cyrille

    2007-01-01

    We review a series of experiments aimed at studying pitch processing in music and speech. These studies were conducted with musician and non musician adults and children. We found that musical expertise improved pitch processing not only in music but also in speech. Demonstrating transfer of training between music and language has interesting applications for second language learning. We also addressed the issue of whether the positive effects of musical expertise are linked with specific predispositions for music or with extensive musical practice. Results of longitudinal studies argue for the later. Finally, we also examined pitch processing in dyslexic children and found that they had difficulties discriminating strong pitch changes that are easily discriminate by normal readers. These results argue for a strong link between basic auditory perception abilities and reading abilities. We used conjointly the behavioral method (Reaction Times and error rates) and the electrophysiological method (recording of the changes in brain electrical activity time-locked to stimulus presentation, Event-Related brain Potentials or ERPs). A set of common processes may be responsible for pitch processing in music and in speech and these processes are shaped by musical practice. These data add evidence in favor of brain plasticity and open interesting perspectives for the remediation of dyslexia using musical training.

  15. Linguistic knowledge, processing speed, and metacognitive knowledge in first- and second-language reading comprehension : A componential analysis

    NARCIS (Netherlands)

    van Gelderen, Amos; Schoonen, Rob; de Glopper, Kees; Hulstijn, Jan; Simis, Annegien; Snellings, Patrick; Stevenson, Marie

    The authors report results of a study into the role of components of first-language (L1; Dutch) and second-language (L2; English) reading comprehension. Differences in the contributions of components of L1 and L2 reading comprehension are analyzed, in particular processing speed in L1 and L2.

  16. Interrelationships between Working Memory, Processing Speed, and Language Development in the Age Range 2-4 Years

    Science.gov (United States)

    Newbury, Jayne; Klee, Thomas; Stokes, Stephanie F.; Moran, Catherine

    2016-01-01

    Purpose: This study explored associations between working memory and language in children aged 2-4 years. Method: Seventy-seven children aged 24-30 months were assessed on tests measuring language, visual cognition, verbal working memory (VWM), phonological short-term memory (PSTM), and processing speed. A standardized test of receptive and…

  17. Linguistic knowledge, processing speed and metacognitive knowledge in first and second language reading comprehension; a componential analysis.

    NARCIS (Netherlands)

    van Gelderen, A.; Schoonen, R.; de Glopper, K.; Hulstijn, J.; Simis, A.; Snellings, P.; Stevenson, M.

    2004-01-01

    The authors report results of a study into the role of components of first-language (L1; Dutch) and second-language (L2; English) reading comprehension. Differences in the contributions of components of L1 and L2 reading comprehension are analyzed, in particular processing speed in L1 and L2.

  18. Language differences in verbal short-term memory do not exclusively originate in the process of subvocal rehearsal.

    Science.gov (United States)

    Thorn, A S; Gathercole, S E

    2001-06-01

    Language differences in verbal short-term memory were investigated in two experiments. In Experiment 1, bilinguals with high competence in English and French and monolingual English adults with extremely limited knowledge of French were assessed on their serial recall of words and nonwords in both languages. In all cases recall accuracy was superior in the language with which individuals were most familiar, a first-language advantage that remained when variation due to differential rates of articulation in the two languages was taken into account. In Experiment 2, bilinguals recalled lists of English and French words with and without concurrent articulatory suppression. First-language superiority persisted under suppression, suggesting that the language differences in recall accuracy were not attributable to slower rates of subvocal rehearsal in the less familiar language. The findings indicate that language-specific differences in verbal short-term memory do not exclusively originate in the subvocal rehearsal process. It is suggested that one source of language-specific variation might relate to the use of long-term knowledge to support short-term memory performance.

  19. On the Possibility of ESP Data Use in Natural Language Processing

    OpenAIRE

    Knopp, Tomáš

    2011-01-01

    The aim of this bachelor thesis is to explore this image label database coming from the ESP game from the natural language processing (NLP) point of view. ESP game is an online game, in which human players do useful work - they label images. The output of the ESP game is then a database of images and their labels. What interests us is whether the data collected in the process of labeling images will be of any use in NLP tasks. Specifically, we are interested in the tasks of automatic corefere...

  20. Signed language and human action processing: evidence for functional constraints on the human mirror-neuron system.

    Science.gov (United States)

    Corina, David P; Knapp, Heather Patterson

    2008-12-01

    In the quest to further understand the neural underpinning of human communication, researchers have turned to studies of naturally occurring signed languages used in Deaf communities. The comparison of the commonalities and differences between spoken and signed languages provides an opportunity to determine core neural systems responsible for linguistic communication independent of the modality in which a language is expressed. The present article examines such studies, and in addition asks what we can learn about human languages by contrasting formal visual-gestural linguistic systems (signed languages) with more general human action perception. To understand visual language perception, it is important to distinguish the demands of general human motion processing from the highly task-dependent demands associated with extracting linguistic meaning from arbitrary, conventionalized gestures. This endeavor is particularly important because theorists have suggested close homologies between perception and production of actions and functions of human language and social communication. We review recent behavioral, functional imaging, and neuropsychological studies that explore dissociations between the processing of human actions and signed languages. These data suggest incomplete overlap between the mirror-neuron systems proposed to mediate human action and language.

  1. Acoustic-Phonetic Versus Lexical Processing in Nonnative Listeners Differing in Their Dominant Language.

    Science.gov (United States)

    Shi, Lu-Feng; Koenig, Laura L

    2016-09-01

    Nonnative listeners have difficulty recognizing English words due to underdeveloped acoustic-phonetic and/or lexical skills. The present study used Boothroyd and Nittrouer's (1988)j factor to tease apart these two components of word recognition. Participants included 15 native English and 29 native Russian listeners. Fourteen and 15 of the Russian listeners reported English (ED) and Russian (RD) to be their dominant language, respectively. Listeners were presented 119 consonant-vowel-consonant real and nonsense words in speech-spectrum noise at +6 dB SNR. Responses were scored for word and phoneme recognition, the logarithmic quotient of which yielded j. Word and phoneme recognition was comparable between native and ED listeners but poorer in RD listeners. Analysis of j indicated less effective use of lexical information in RD than in native and ED listeners. Lexical processing was strongly correlated with the length of residence in the United States. Language background is important for nonnative word recognition. Lexical skills can be regarded as nativelike in ED nonnative listeners. Compromised word recognition in ED listeners is unlikely a result of poor lexical processing. Performance should be interpreted with caution for listeners dominant in their first language, whose word recognition is affected by both lexical and acoustic-phonetic factors.

  2. PyDecay/GraphPhys: A Unified Language and Storage System for Particle Decay Process Descriptions

    Energy Technology Data Exchange (ETDEWEB)

    Dunietz, Jesse N.; /MIT /SLAC

    2011-06-22

    To ease the tasks of Monte Carlo (MC) simulation and event reconstruction (i.e. inferring particle-decay events from experimental data) for long-term BaBar data preservation and analysis, the following software components have been designed: a language ('GraphPhys') for specifying decay processes, common to both simulation and data analysis, allowing arbitrary parameters on particles, decays, and entire processes; an automated visualization tool to show graphically what decays have been specified; and a searchable database storage mechanism for decay specifications. Unlike HepML, a proposed XML standard for HEP metadata, the specification language is designed not for data interchange between computer systems, but rather for direct manipulation by human beings as well as computers. The components are interoperable: the information parsed from files in the specification language can easily be rendered as an image by the visualization package, and conversion between decay representations was implemented. Several proof-of-concept command-line tools were built based on this framework. Applications include building easier and more efficient interfaces to existing analysis tools for current projects (e.g. BaBar/BESII), providing a framework for analyses in future experimental settings (e.g. LHC/SuperB), and outreach programs that involve giving students access to BaBar data and analysis tools to give them a hands-on feel for scientific analysis.

  3. A MODELING AND SIMULATION LANGUAGE FOR BIOLOGICAL CELLS WITH COUPLED MECHANICAL AND CHEMICAL PROCESSES.

    Science.gov (United States)

    Somogyi, Endre; Glazier, James A

    2017-04-01

    Biological cells are the prototypical example of active matter. Cells sense and respond to mechanical, chemical and electrical environmental stimuli with a range of behaviors, including dynamic changes in morphology and mechanical properties, chemical uptake and secretion, cell differentiation, proliferation, death, and migration. Modeling and simulation of such dynamic phenomena poses a number of computational challenges. A modeling language describing cellular dynamics must naturally represent complex intra and extra-cellular spatial structures and coupled mechanical, chemical and electrical processes. Domain experts will find a modeling language most useful when it is based on concepts, terms and principles native to the problem domain. A compiler must then be able to generate an executable model from this physically motivated description. Finally, an executable model must efficiently calculate the time evolution of such dynamic and inhomogeneous phenomena. We present a spatial hybrid systems modeling language, compiler and mesh-free Lagrangian based simulation engine which will enable domain experts to define models using natural, biologically motivated constructs and to simulate time evolution of coupled cellular, mechanical and chemical processes acting on a time varying number of cells and their environment.

  4. Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML).

    Science.gov (United States)

    Park, J; Lechevalier, D; Ak, R; Ferguson, M; Law, K H; Lee, Y-T T; Rachuri, S

    2017-01-01

    This paper describes Gaussian process regression (GPR) models presented in predictive model markup language (PMML). PMML is an extensible-markup-language (XML) -based standard language used to represent data-mining and predictive analytic models, as well as pre- and post-processed data. The previous PMML version, PMML 4.2, did not provide capabilities for representing probabilistic (stochastic) machine-learning algorithms that are widely used for constructing predictive models taking the associated uncertainties into consideration. The newly released PMML version 4.3, which includes the GPR model, provides new features: confidence bounds and distribution for the predictive estimations. Both features are needed to establish the foundation for uncertainty quantification analysis. Among various probabilistic machine-learning algorithms, GPR has been widely used for approximating a target function because of its capability of representing complex input and output relationships without predefining a set of basis functions, and predicting a target output with uncertainty quantification. GPR is being employed to various manufacturing data-analytics applications, which necessitates representing this model in a standardized form for easy and rapid employment. In this paper, we present a GPR model and its representation in PMML. Furthermore, we demonstrate a prototype using a real data set in the manufacturing domain.

  5. Intake of Lutein-Rich Vegetables Is Associated with Higher Levels of Physical Activity

    Directory of Open Access Journals (Sweden)

    Georgina Crichton

    2015-09-01

    Full Text Available Levels of physical inactivity, a major contributor to burden of disease, are high in many countries. Some preliminary research suggests that circulating lutein concentrations are associated with high levels of physical activity (PA. We aimed to assess whether the intake of lutein-containing foods, including vegetables and eggs, is associated with levels of PA in two studies conducted in different countries. Dietary data and PA data collected from participants in two cross-sectional studies: the Maine-Syracuse Longitudinal Study (MSLS, conducted in Central New York, USA (n = 972, and the Observation of Cardiovascular Risk Factors in Luxembourg Study (ORISCAV-LUX (n = 1331 were analyzed. Higher intakes of lutein containing foods, including green leafy vegetables, were associated with higher levels of PA in both study sites. Increasing the consumption of lutein-rich foods may have the potential to impact positively on levels of PA. This needs to be further explored in randomized controlled trials.

  6. Noosphere: Does the Internet Provide an Evolutionary Leap to a Higher Level of Collective Intelligence?

    Directory of Open Access Journals (Sweden)

    Tatjana Milivojević

    2015-09-01

    Full Text Available The neologism noosphere signifies global human consciousness. According to T. de Chardin, it is the third stage in the development of the earth, after the geosphere and the biosphere. As well as the emergence of life has fundamentally changed the geosphere, the emergence of human consciousness has fundamentally changed the biosphere. De Chardin envisioned the “planetarization” of mankind, which is equivalent to the current globalization by information technology. From an anthropological point of view, internet is not a technology or media as others: it has the potential to revolutionize the current civilizational paradigm. With the advent of the internet the idea of the noosphere has been reactualized and related to the concept of collective intelligence. The article questions the hypothesis of an evolutionary leap in a greater collective intelligence or higher level of collective consciousness presenting pros and cons.

  7. Hijab and Depression: Does the Islamic Practice of Veiling Predict Higher Levels of Depressive Symptoms?

    Science.gov (United States)

    Hodge, David R; Husain, Altaf; Zidan, Tarek

    2017-07-01

    Hijab or veiling is commonly practiced by Muslim women but remains controversial in the broader secular society. Some Western feminists argue that veiling is an oppressive behavior that negatively affects women by, for example, engendering depression. This article tests this hypothesis with a national sample of American Muslim women (N = 194). The results of the regression analysis did not support the hypothesis. Indeed, women who veiled more frequently reported lower, rather than higher, levels of depressive symptoms. In other words, wearing the hijab appears to be a protective factor in the area of depression. Given the prevalence of depression among women, the results have important implications for practice with Muslim women at both the micro and the macro levels. © 2017 National Association of Social Workers.

  8. Versatility of a multilingual and bi-directional approach for medical language processing.

    Science.gov (United States)

    Rassinoux, A M; Lovis, C; Baud, R H; Scherrer, J R

    1998-01-01

    At the dawn of the 21st century, we are experiencing an exponential growth of online information that is mostly textual, and that benefits from new electronic media, such as the World Wide Web (WWW), to be broadly diffused across borders. However, there is a gap to bridge between holding information and accessing in a relevant way the deep underlying knowledge. Multilingual natural language processing (NLP), once tuned, is certainly the best solution to cope with this era of textual information. This paper focuses on the lesson learned through the joint development of an analyzer and a generator of medical language, within a multilingual context. Concrete examples, derived from the efforts under way in the European GALEN-IN-USE project, illustrate the use of these linguistic tools for the handling of surgical procedures.

  9. Accessing the mental space - Spatial working memory processes for language and vision overlap in precuneus

    DEFF Research Database (Denmark)

    Wallentin, Mikkel; Weed, Ethan; Østergaard, Leif

    2008-01-01

    , strikingly overlapping a network previously shown to be involved in recall of spatial aspects of images depicting similar scenarios. This supports a neurocognitive model of language function, where sentences establish meaning by interacting with the perceptual and working memory networks of the brain.......Abstract: The ‘‘overlapping systems'' theory of language function argues that linguistic meaning construction crucially relies on contextual information provided by ‘‘nonlinguistic'' cognitive systems, such as perception and memory. This study examines whether linguistic processing of spatial.......g., ‘‘Was he turned towards her?'') and equally concrete nonspatial content (e.g., ‘‘Was he older than her?''). We found that recall of the spatial content relative to the nonspatial content resulted in higher BOLD response in a dorsoposterior network of brain regions, most significantly in precuneus...

  10. Harnessing Biomedical Natural Language Processing Tools to Identify Medicinal Plant Knowledge from Historical Texts.

    Science.gov (United States)

    Sharma, Vivekanand; Law, Wayne; Balick, Michael J; Sarkar, Indra Neil

    2017-01-01

    The growing amount of data describing historical medicinal uses of plants from digitization efforts provides the opportunity to develop systematic approaches for identifying potential plant-based therapies. However, the task of cataloguing plant use information from natural language text is a challenging task for ethnobotanists. To date, there have been only limited adoption of informatics approaches used for supporting the identification of ethnobotanical information associated with medicinal uses. This study explored the feasibility of using biomedical terminologies and natural language processing approaches for extracting relevant plant-associated therapeutic use information from historical biodiversity literature collection available from the Biodiversity Heritage Library. The results from this preliminary study suggest that there is potential utility of informatics methods to identify medicinal plant knowledge from digitized resources as well as highlight opportunities for improvement.

  11. ONTOLOGY BASED MEANINGFUL SEARCH USING SEMANTIC WEB AND NATURAL LANGUAGE PROCESSING TECHNIQUES

    Directory of Open Access Journals (Sweden)

    K. Palaniammal

    2013-10-01

    Full Text Available The semantic web extends the current World Wide Web by adding facilities for the machine understood description of meaning. The ontology based search model is used to enhance efficiency and accuracy of information retrieval. Ontology is the core technology for the semantic web and this mechanism for representing formal and shared domain descriptions. In this paper, we proposed ontology based meaningful search using semantic web and Natural Language Processing (NLP techniques in the educational domain. First we build the educational ontology then we present the semantic search system. The search model consisting three parts which are embedding spell-check, finding synonyms using WordNet API and querying ontology using SPARQL language. The results are both sensitive to spell check and synonymous context. This paper provides more accurate results and the complete details for the selected field in a single page.

  12. ISO 18629 PSL : A Standardized Language for Specifying and Exchanging Process Information

    Energy Technology Data Exchange (ETDEWEB)

    Pouchard, Line Catherine [ORNL; Cutting-Decelle, A. F. [University of Loughborough, UK; Michel, Jean-Jacques [IDPICONSEIL; Gruninger, Michael [University of Toronto

    2006-01-01

    As enterprise integration increases, developers face increasingly complex problems related to interoperability. When enterprises collaborate, a common frame of reference or at least a common terminology is necessary for human-to-human, human-to-machine, and machine-to-machine communication. Ontology engineering offers a direction towards solving the inter-operability problems brought about by semantic obstacles related to the definitions of business terms and software classes. Ontology engineering is a set of tasks related to the development of ontologies for a particular domain. This paper is aimed at presenting the approach of ISO 18629, i.e., the Process Specification Language (PSL), to this problem. In the first part, the architecture of the standard is described, with the main features of the language. Then, the problems of the interoperability with PSL and the conformance to the standard are presented. The paper ends with an example showing the use of the standard for interoperability.

  13. Knowledge modelling and reliability processing: presentation of the Figaro language and associated tools

    International Nuclear Information System (INIS)

    Bouissou, M.; Villatte, N.; Bouhadana, H.; Bannelier, M.

    1991-12-01

    EDF has been developing for several years an integrated set of knowledge-based and algorithmic tools for automation of reliability assessment of complex (especially sequential) systems. In this environment, the reliability expert has at his disposal all the powerful software tools for qualitative and quantitative processing, besides he gets various means to generate automatically the inputs for these tools, through the acquisition of graphical data. The development of these tools has been based on FIGARO, a specific language, which was built to get an homogeneous system modelling. Various compilers and interpreters get a FIGARO model into conventional models, such as fault-trees, Markov chains, Petri Networks. In this report, we introduce the main basics of FIGARO language, illustrating them with examples

  14. The language of future-thought: an fMRI study of embodiment and tense processing.

    Science.gov (United States)

    Gilead, Michael; Liberman, Nira; Maril, Anat

    2013-01-15

    The ability to comprehend and represent the temporal properties of an occurrence is a crucial aspect of human language and cognition. Despite advances in neurolinguistic research into semantic processing, surprisingly little is known regarding the mechanisms which support the comprehension of temporal semantics. We used fMRI to investigate neural activity associated with processing of concrete and abstract sentences across the three temporal categories: past, present, and future. Theories of embodied cognition predict that concreteness-related activity would be evident in sensory and motor areas regardless of tense. Contrastingly, relying upon construal level theory we hypothesized that: (1) the neural markers associated with concrete language processing would appear for past and present tense sentences, but not for future sentences; (2) future tense sentences would activate intention-processing areas. Consistent with our first prediction, the results showed that activation in the parahippocampal gyrus differentiated between concrete and abstract sentences for past and present tense sentences, but not for future sentences. Not consistent with our second prediction, future tense sentences did not activate most of the regions that are implicated in the processing of intentions, but only activated the vmPFC. We discuss the implications of the current results to theories of embodied cognition and tense semantics. Copyright © 2012 Elsevier Inc. All rights reserved.

  15. Early language processing efficiency predicts later receptive vocabulary outcomes in children born preterm.

    Science.gov (United States)

    Marchman, Virginia A; Adams, Katherine A; Loi, Elizabeth C; Fernald, Anne; Feldman, Heidi M

    2016-01-01

    As rates of prematurity continue to rise, identifying which preterm children are at increased risk for learning disabilities is a public health imperative. Identifying continuities between early and later skills in this vulnerable population can also illuminate fundamental neuropsychological processes that support learning in all children. At 18 months adjusted age, we used socioeconomic status (SES), medical variables, parent-reported vocabulary, scores on the Bayley Scales of Infant and Toddler Development (third edition) language composite, and children's lexical processing speed in the looking-while-listening (LWL) task as predictor variables in a sample of 30 preterm children. Receptive vocabulary as measured by the Peabody Picture Vocabulary Test (fourth edition) at 36 months was the outcome. Receptive vocabulary was correlated with SES, but uncorrelated with degree of prematurity or a composite of medical risk. Importantly, lexical processing speed was the strongest predictor of receptive vocabulary (r = -.81), accounting for 30% unique variance. Individual differences in lexical processing efficiency may be able to serve as a marker for information processing skills that are critical for language learning.

  16. Speech-language therapists' process of including significant others in aphasia rehabilitation.

    Science.gov (United States)

    Hallé, Marie-Christine; Le Dorze, Guylaine; Mingant, Anne

    2014-11-01

    Although aphasia rehabilitation should include significant others, it is currently unknown how this recommendation is adopted in speech-language therapy practice. Speech-language therapists' (SLTs) experience of including significant others in aphasia rehabilitation is also understudied, yet a better understanding of clinical reality would be necessary to facilitate implementation of best evidence pertaining to family interventions. To explore the process through which SLTs work with significant others of people with aphasia in rehabilitation settings. Individual semi-structured interviews were conducted with eight SLTs who had been working with persons with aphasia in rehabilitation centres for at least 1 year. Grounded theory principles were applied in analysing interview transcripts. A theoretical model was developed representing SLTs' process of working with significant others of persons with aphasia in rehabilitation. Including significant others was perceived as challenging, yet a bonus to their fundamental patient-centred approach. Basic interventions with significant others when they were available included information sharing. If necessary, significant others were referred to social workers or psychologists or the participants collaborated with those professionals. Participants rarely and only under specific conditions provided significant others with language exercises or trained them to communicate better with the aphasic person. As a result, even if participants felt satisfied with their efforts to offer family and friends interventions, they also had unachieved ideals, such as having more frequent contacts with significant others. If SLTs perceived work with significant others as a feasible necessity, rather than as a challenging bonus, they could be more inclined to include family and friends within therapy with the aim to improve their communication with the person with aphasia. SLTs could also be more satisfied with their practice. In order to

  17. Mandarin-English Bilinguals Process Lexical Tones in Newly Learned Words in Accordance with the Language Context.

    Science.gov (United States)

    Quam, Carolyn; Creel, Sarah C

    2017-01-01

    Previous research has mainly considered the impact of tone-language experience on ability to discriminate linguistic pitch, but proficient bilingual listening requires differential processing of sound variation in each language context. Here, we ask whether Mandarin-English bilinguals, for whom pitch indicates word distinctions in one language but not the other, can process pitch differently in a Mandarin context vs. an English context. Across three eye-tracked word-learning experiments, results indicated that tone-intonation bilinguals process tone in accordance with the language context. In Experiment 1, 51 Mandarin-English bilinguals and 26 English speakers without tone experience were taught Mandarin-compatible novel words with tones. Mandarin-English bilinguals out-performed English speakers, and, for bilinguals, overall accuracy was correlated with Mandarin dominance. Experiment 2 taught 24 Mandarin-English bilinguals and 25 English speakers novel words with Mandarin-like tones, but English-like phonemes and phonotactics. The Mandarin-dominance advantages observed in Experiment 1 disappeared when words were English-like. Experiment 3 contrasted Mandarin-like vs. English-like words in a within-subjects design, providing even stronger evidence that bilinguals can process tone language-specifically. Bilinguals (N = 58), regardless of language dominance, attended more to tone than English speakers without Mandarin experience (N = 28), but only when words were Mandarin-like-not when they were English-like. Mandarin-English bilinguals thus tailor tone processing to the within-word language context.

  18. Mandarin-English Bilinguals Process Lexical Tones in Newly Learned Words in Accordance with the Language Context

    Science.gov (United States)

    Quam, Carolyn; Creel, Sarah C.

    2017-01-01

    Previous research has mainly considered the impact of tone-language experience on ability to discriminate linguistic pitch, but proficient bilingual listening requires differential processing of sound variation in each language context. Here, we ask whether Mandarin-English bilinguals, for whom pitch indicates word distinctions in one language but not the other, can process pitch differently in a Mandarin context vs. an English context. Across three eye-tracked word-learning experiments, results indicated that tone-intonation bilinguals process tone in accordance with the language context. In Experiment 1, 51 Mandarin-English bilinguals and 26 English speakers without tone experience were taught Mandarin-compatible novel words with tones. Mandarin-English bilinguals out-performed English speakers, and, for bilinguals, overall accuracy was correlated with Mandarin dominance. Experiment 2 taught 24 Mandarin-English bilinguals and 25 English speakers novel words with Mandarin-like tones, but English-like phonemes and phonotactics. The Mandarin-dominance advantages observed in Experiment 1 disappeared when words were English-like. Experiment 3 contrasted Mandarin-like vs. English-like words in a within-subjects design, providing even stronger evidence that bilinguals can process tone language-specifically. Bilinguals (N = 58), regardless of language dominance, attended more to tone than English speakers without Mandarin experience (N = 28), but only when words were Mandarin-like—not when they were English-like. Mandarin-English bilinguals thus tailor tone processing to the within-word language context. PMID:28076400

  19. Virtual-based training and critical thinking in higher-level education

    Directory of Open Access Journals (Sweden)

    Kalayanee Jitgarun

    2009-06-01

    Full Text Available The purpose of the study was to determine if Virtual-Based Training (VBT could be used to develop post-secondarystudents’ abilities in critical thinking (CRT. The participants were 26 second-year undergraduate students from fourfaculties at a government-funded university in Bangkok, Thailand and were divided into 2 groups. The experimental groupstudied 23 CRT lessons through VBT and had to hand in their exercises. There was no treatment for the control group. Thepre- and post- tests were analyzed using multiple correlations. Results revealed that there was a relationship of the preandpost- tests of language and mathematics with CRT. This means that our VBT was effective for teaching language andmathematics. Further studies will be to determine if it was the content (the type of CRT lessons or the delivery mode (VBTthat resulted in no significant difference in test scores for logical reasoning

  20. Translating Message Sequence Charts to other Process Languages using Process Mining

    DEFF Research Database (Denmark)

    Lassen, Kristian Bisgaard; van Dongen, Boudewijn; van der Aalst, Wil M. P.

    stakeholders. Often such discussions lead to more complete behavioral models described by e.g.\\ Event-driven Process Chains (EPCs), UML activity diagrams, BPMN models, Petri nets, etc. The contribution of this paper is to present a method that uses process mining to translate a set of MSCs that represent...

  1. Robot vision language RVL/V: An integration scheme of visual processing and manipulator control

    International Nuclear Information System (INIS)

    Matsushita, T.; Sato, T.; Hirai, S.

    1984-01-01

    RVL/V is a robot vision language designed to write a program for visual processing and manipulator control of a hand-eye system. This paper describes the design of RVL/V and the current implementation of the system. Visual processing is performed on one-dimensional range data of the object surface. Model-based instructions execute object detection, measurement and view control. The hierarchy of visual data and processing is introduced to give RVL/V generality. A new scheme to integrate visual information and manipulator control is proposed. The effectiveness of the model-based visual processing scheme based on profile data is demonstrated by a hand-eye experiment

  2. Is Natural Language a Perigraphic Process? The Theorem about Facts and Words Revisited

    Directory of Open Access Journals (Sweden)

    Łukasz Dębowski

    2018-01-01

    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.

  3. Language processing and executive functions in early treated adults with phenylketonuria (PKU).

    Science.gov (United States)

    De Felice, Sara; Romani, Cristina; Geberhiwot, Tarekegn; MacDonald, Anita; Palermo, Liana

    We provide an in-depth analysis of language functions in early-treated adults with phenylketonuria (AwPKUs, N = 15-33), as compared to age- and education-matched controls (N = 24-32; N varying across tasks), through: a. narrative production (the Cinderella story), b. language pragmatics comprehension (humour, metaphors, inferred meaning), c. prosody discrimination d. lexical inhibitory control and planning (Blocked Cyclic Naming; Hayling Sentence Completion Test, Burgess & Shallice, 1997). AwPKUs exhibited intact basic language processing (lexical retrieval, phonology/articulation, sentence construction). Instead, deficits emerged in planning and reasoning abilities. Compared to controls, AwPKUs were: less informative in narrative production (lower rate of Correct Information Units); slower in metaphorical understanding and inferred meaning; less accurate in focused lexical-search (Hayling test). These results suggest that i) executive deficits in PKU cannot be explained by an accumulation of lower-order deficits and/or general speed impairments, ii) executive functions engage dedicated neurophysiological resources, rather than simply being an emergent property of lower-level systems.

  4. Salience and Attention in Surprisal-Based Accounts of Language Processing.

    Science.gov (United States)

    Zarcone, Alessandra; van Schijndel, Marten; Vogels, Jorrig; Demberg, Vera

    2016-01-01

    The notion of salience has been singled out as the explanatory factor for a diverse range of linguistic phenomena. In particular, perceptual salience (e.g., visual salience of objects in the world, acoustic prominence of linguistic sounds) and semantic-pragmatic salience (e.g., prominence of recently mentioned or topical referents) have been shown to influence language comprehension and production. A different line of research has sought to account for behavioral correlates of cognitive load during comprehension as well as for certain patterns in language usage using information-theoretic notions, such as surprisal. Surprisal and salience both affect language processing at different levels, but the relationship between the two has not been adequately elucidated, and the question of whether salience can be reduced to surprisal / predictability is still open. Our review identifies two main challenges in addressing this question: terminological inconsistency and lack of integration between high and low levels of representations in salience-based accounts and surprisal-based accounts. We capitalize upon work in visual cognition in order to orient ourselves in surveying the different facets of the notion of salience in linguistics and their relation with models of surprisal. We find that work on salience highlights aspects of linguistic communication that models of surprisal tend to overlook, namely the role of attention and relevance to current goals, and we argue that the Predictive Coding framework provides a unified view which can account for the role played by attention and predictability at different levels of processing and which can clarify the interplay between low and high levels of processes and between predictability-driven expectation and attention-driven focus.

  5. Salience and Attention in Surprisal-Based Accounts of Language Processing

    Science.gov (United States)

    Zarcone, Alessandra; van Schijndel, Marten; Vogels, Jorrig; Demberg, Vera

    2016-01-01

    The notion of salience has been singled out as the explanatory factor for a diverse range of linguistic phenomena. In particular, perceptual salience (e.g., visual salience of objects in the world, acoustic prominence of linguistic sounds) and semantic-pragmatic salience (e.g., prominence of recently mentioned or topical referents) have been shown to influence language comprehension and production. A different line of research has sought to account for behavioral correlates of cognitive load during comprehension as well as for certain patterns in language usage using information-theoretic notions, such as surprisal. Surprisal and salience both affect language processing at different levels, but the relationship between the two has not been adequately elucidated, and the question of whether salience can be reduced to surprisal / predictability is still open. Our review identifies two main challenges in addressing this question: terminological inconsistency and lack of integration between high and low levels of representations in salience-based accounts and surprisal-based accounts. We capitalize upon work in visual cognition in order to orient ourselves in surveying the different facets of the notion of salience in linguistics and their relation with models of surprisal. We find that work on salience highlights aspects of linguistic communication that models of surprisal tend to overlook, namely the role of attention and relevance to current goals, and we argue that the Predictive Coding framework provides a unified view which can account for the role played by attention and predictability at different levels of processing and which can clarify the interplay between low and high levels of processes and between predictability-driven expectation and attention-driven focus. PMID:27375525

  6. LABORATORY PROCESS CONTROLLER USING NATURAL LANGUAGE COMMANDS FROM A PERSONAL COMPUTER

    Science.gov (United States)

    Will, H.

    1994-01-01

    The complex environment of the typical research laboratory requires flexible process control. This program provides natural language process control from an IBM PC or compatible machine. Sometimes process control schedules require changes frequently, even several times per day. These changes may include adding, deleting, and rearranging steps in a process. This program sets up a process control system that can either run without an operator, or be run by workers with limited programming skills. The software system includes three programs. Two of the programs, written in FORTRAN77, record data and control research processes. The third program, written in Pascal, generates the FORTRAN subroutines used by the other two programs to identify the user commands with the user-written device drivers. The software system also includes an input data set which allows the user to define the user commands which are to be executed by the computer. To set the system up the operator writes device driver routines for all of the controlled devices. Once set up, this system requires only an input file containing natural language command lines which tell the system what to do and when to do it. The operator can make up custom commands for operating and taking data from external research equipment at any time of the day or night without the operator in attendance. This process control system requires a personal computer operating under MS-DOS with suitable hardware interfaces to all controlled devices. The program requires a FORTRAN77 compiler and user-written device drivers. This program was developed in 1989 and has a memory requirement of about 62 Kbytes.

  7. The applicability of normalisation process theory to speech and language therapy: a review of qualitative research on a speech and language intervention.

    Science.gov (United States)

    James, Deborah M

    2011-08-12

    The Bercow review found a high level of public dissatisfaction with speech and language services for children. Children with speech, language, and communication needs (SLCN) often have chronic complex conditions that require provision from health, education, and community services. Speech and language therapists are a small group of Allied Health Professionals with a specialist skill-set that equips them to work with children with SLCN. They work within and across the diverse range of public service providers. The aim of this review was to explore the applicability of Normalisation Process Theory (NPT) to the case of speech and language therapy. A review of qualitative research on a successfully embedded speech and language therapy intervention was undertaken to test the applicability of NPT. The review focused on two of the collective action elements of NPT (relational integration and interaction workability) using all previously published qualitative data from both parents and practitioners' perspectives on the intervention. The synthesis of the data based on the Normalisation Process Model (NPM) uncovered strengths in the interpersonal processes between the practitioners and parents, and weaknesses in how the accountability of the intervention is distributed in the health system. The analysis based on the NPM uncovered interpersonal processes between the practitioners and parents that were likely to have given rise to successful implementation of the intervention. In previous qualitative research on this intervention where the Medical Research Council's guidance on developing a design for a complex intervention had been used as a framework, the interpersonal work within the intervention had emerged as a barrier to implementation of the intervention. It is suggested that the design of services for children and families needs to extend beyond the consideration of benefits and barriers to embrace the social processes that appear to afford success in embedding

  8. Factors identified with higher levels of career satisfaction of physicians in Andalusia, Spain

    Directory of Open Access Journals (Sweden)

    Juan Nicolás Peña-Sánchez

    2014-09-01

    Full Text Available The satisfaction of physicians is a world-wide issue linked with the quality of health services; their satisfaction needs to be studied from a multi-dimensional perspective, considering lower- and higher-order needs. The objectives of this study were to: i measure the career satisfaction of physicians; ii identify differences in the dimensions of career satisfaction; and iii test factors that affect higher- and lower-order needs of satisfaction among physicians working in Andalusian hospitals (Spain. Forty-one percent of 299 eligible physicians participated in a study conducted in six selected hospitals. Physicians reported higher professional, inherent, and performance satisfaction than personal satisfaction. Foreign physicians reported higher levels of personal and performance satisfaction than local physicians, and those who received non-monetary incentives had higher professional and performance satisfaction. In conclusion, physicians in the selected Andalusian hospitals reported low levels of personal satisfaction. Non-monetary incentives were more relevant to influence their career satisfaction. Further investigations are recommended to study differences in the career satisfaction between foreign and local physicians.

  9. Change of direction ability test differentiates higher level and lower level soccer referees

    Science.gov (United States)

    Los, Arcos A; Grande, I; Casajús, JA

    2016-01-01

    This report examines the agility and level of acceleration capacity of Spanish soccer referees and investigates the possible differences between field referees of different categories. The speed test consisted of 3 maximum acceleration stretches of 15 metres. The change of direction ability (CODA) test used in this study was a modification of the Modified Agility Test (MAT). The study included a sample of 41 Spanish soccer field referees from the Navarre Committee of Soccer Referees divided into two groups: i) the higher level group (G1, n = 20): 2ndA, 2ndB and 3rd division referees from the Spanish National Soccer League (28.43 ± 1.39 years); and ii) the lower level group (G2, n = 21): Navarre Provincial League soccer referees (29.54 ± 1.87 years). Significant differences were found with respect to the CODA between G1 (5.72 ± 0.13 s) and G2 (6.06 ± 0.30 s), while no differences were encountered between groups in acceleration ability. No significant correlations were obtained in G1 between agility and the capacity to accelerate. Significant correlations were found between sprint and agility times in the G2 and in the total group. The results of this study showed that agility can be used as a discriminating factor for differentiating between national and regional field referees; however, no observable differences were found over the 5 and 15 m sprint tests. PMID:27274111

  10. Multiple-Choice Exams: An Obstacle for Higher-Level Thinking in Introductory Science Classes

    Science.gov (United States)

    Stanger-Hall, Kathrin F.

    2012-01-01

    Learning science requires higher-level (critical) thinking skills that need to be practiced in science classes. This study tested the effect of exam format on critical-thinking skills. Multiple-choice (MC) testing is common in introductory science courses, and students in these classes tend to associate memorization with MC questions and may not see the need to modify their study strategies for critical thinking, because the MC exam format has not changed. To test the effect of exam format, I used two sections of an introductory biology class. One section was assessed with exams in the traditional MC format, the other section was assessed with both MC and constructed-response (CR) questions. The mixed exam format was correlated with significantly more cognitively active study behaviors and a significantly better performance on the cumulative final exam (after accounting for grade point average and gender). There was also less gender-bias in the CR answers. This suggests that the MC-only exam format indeed hinders critical thinking in introductory science classes. Introducing CR questions encouraged students to learn more and to be better critical thinkers and reduced gender bias. However, student resistance increased as students adjusted their perceptions of their own critical-thinking abilities. PMID:22949426

  11. Visualizing Patient Journals by Combining Vital Signs Monitoring and Natural Language Processing

    DEFF Research Database (Denmark)

    Vilic, Adnan; Petersen, John Asger; Hoppe, Karsten

    2016-01-01

    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....

  12. Astronomical Data Processing Using SciQL, an SQL Based Query Language for Array Data

    Science.gov (United States)

    Zhang, Y.; Scheers, B.; Kersten, M.; Ivanova, M.; Nes, N.

    2012-09-01

    SciQL (pronounced as ‘cycle’) is a novel SQL-based array query language for scientific applications with both tables and arrays as first class citizens. SciQL lowers the entrance fee of adopting relational DBMS (RDBMS) in scientific domains, because it includes functionality often only found in mathematics software packages. In this paper, we demonstrate the usefulness of SciQL for astronomical data processing using examples from the Transient Key Project of the LOFAR radio telescope. In particular, how the LOFAR light-curve database of all detected sources can be constructed, by correlating sources across the spatial, frequency, time and polarisation domains.

  13. Processing Fluency and Decision-Making: The Role of Language Structure

    Directory of Open Access Journals (Sweden)

    Deckert Mikołaj

    2015-10-01

    Full Text Available This paper models conventionalisation of language structure as constitutive of processing fluency. I postulate that the difference in conventionalisation of linguistic forms used for communication significantly influences our reasoning about linguistically-expressed problems. Two studies are reported that tested this hypothesis with the use of variably conventionalised - fluent and disfluent - formulations of problem-solving tasks. Th e findings indicate that even in tasks requiring analytic reasoning, the degree to which the linguistic forms employed to communicate are conventionalised is correlated with the subjects’ performance success rate. On a more general level, this paper seeks to empirically address the nature of links between linguistic form and meaning construction.

  14. Detecting inpatient falls by using natural language processing of electronic medical records

    Directory of Open Access Journals (Sweden)

    Toyabe Shin-ichi

    2012-12-01

    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

  15. Semi-supervised learning and domain adaptation in natural language processing

    CERN Document Server

    Søgaard, Anders

    2013-01-01

    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

  16. Evaluation in the teaching / learning process of foreign languages: the case of higher education business programmes

    Directory of Open Access Journals (Sweden)

    Armăsar Ioana Paula

    2018-01-01

    Full Text Available An essential element of the teaching practice, student assessment has individualizing features in the lan guage teaching / learning progress. This article aims at optimizing the evaluation process, by analyzing both its positive and undesirable effects. Integrating the theoretical background of the documents developed by the Council of Europe into language teaching practice can have a formative, evaluative and self-evaluative benefit. The switch of the assessment actors (teachers evaluated by the students aims at adapting the didactic strategies to real situations while preserving the principles and the values system.

  17. Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.

    Science.gov (United States)

    Kreimeyer, Kory; Foster, Matthew; Pandey, Abhishek; Arya, Nina; Halford, Gwendolyn; Jones, Sandra F; Forshee, Richard; Walderhaug, Mark; Botsis, Taxiarchis

    2017-09-01

    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.

  18. Flaws in the Flow: The Weakness of Unstructured Business Process Modeling Languages Dealing with Data

    Science.gov (United States)

    Combi, Carlo; Gambini, Mauro

    Process-Aware Information Systems (PAISs) need more flexibility for supporting complex and varying human activities. PAISs usually support business process design by means of graphical graph-oriented business process modeling languages (BPMLs) in conjunction with textual executable specifications. In this paper we discuss the flexibility of such BPMLs which are the main interface for users that need to change the behavior of PAISs. In particular, we show how common BPMLs features, that seem good when considered alone, have a negative impact on flexibility when they are combined together for providing a complete executable specification. A model has to be understood before being changed and a change is made only when the benefits outweigh the effort. Two main factors have a great impact on comprehensibility and ease of change: concurrency and modularity. We show why BPMLs usually offer a limited concurrency model and lack of modularity; finally we discuss how to overcome these problems.

  19. Visual attentional engagement deficits in children with specific language impairment and their role in real-time language processing.

    Science.gov (United States)

    Dispaldro, Marco; Leonard, Laurence B; Corradi, Nicola; Ruffino, Milena; Bronte, Tiziana; Facoetti, Andrea

    2013-09-01

    In order to become a proficient user of language, infants must detect temporal cues embedded within the noisy acoustic spectra of ongoing speech by efficient attentional engagement. According to the neuro-constructivist approach, a multi-sensory dysfunction of attentional engagement - hampering the temporal sampling of stimuli - might be responsible for language deficits typically shown in children with Specific Language Impairment (SLI). In the present study, the efficiency of visual attentional engagement was investigated in 22 children with SLI and 22 typically developing (TD) children by measuring attentional masking (AM). AM refers to impaired identification of the first of two sequentially presented masked objects (O1 and O2) in which the O1-O2 interval was manipulated. Lexical and grammatical comprehension abilities were also tested in both groups. Children with SLI showed a sluggish engagement of temporal attention, and individual differences in AM accounted for a significant percentage of unique variance in grammatical performance. Our results suggest that an attentional engagement deficit - probably linked to a dysfunction of the right fronto-parietal attentional network - might be a contributing factor in these children's language impairments. Copyright © 2012 Elsevier Ltd. All rights reserved.

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

    Science.gov (United States)

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

    2007-01-01

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

  1. Chronotype Modulates Language Processing-Related Cerebral Activity during Functional MRI (fMRI.

    Directory of Open Access Journals (Sweden)

    Jessica Rosenberg

    Full Text Available Based on individual daily physiological cycles, humans can be classified as early (EC, late (LC and intermediate (IC chronotypes. Recent studies have verified that chronotype-specificity relates to performance on cognitive tasks: participants perform more efficiently when tested in the chronotype-specific optimal time of day than when tested in their non-optimal time. Surprisingly, imaging studies focussing on the underlying neural mechanisms of potential chronotype-specificities are sparse. Moreover, chronotype-specific alterations of language-related semantic processing have been neglected so far.16 male, healthy ECs, 16 ICs and 16 LCs participated in a fast event-related functional Magnetic Resonance Imaging (fMRI paradigm probing semantic priming. Subjects read two subsequently presented words (prime, target and were requested to determine whether the target word was an existing word or a non-word. Subjects were tested during their individual evening hours when homeostatic sleep pressure and circadian alertness levels are high to ensure equal entrainment.Chronotype-specificity is associated with task-performance and brain activation. First, ECs exhibited slower reaction times than LCs. Second, ECs showed attenuated BOLD responses in several language-related brain areas, e.g. in the left postcentral gyrus, left and right precentral gyrus and in the right superior frontal gyrus. Additionally, increased BOLD responses were revealed for LCs as compared to ICs in task-related areas, e.g. in the right inferior parietal lobule and in the right postcentral gyrus.These findings reveal that even basic language processes are associated with chronotype-specific neuronal mechanisms. Consequently, results might change the way we schedule patient evaluations and/or healthy subjects in e.g. experimental research and adding "chronotype" as a statistical covariate.

  2. Higher levels of albuminuria within the normal range predict incident hypertension.

    Science.gov (United States)

    Forman, John P; Fisher, Naomi D L; Schopick, Emily L; Curhan, Gary C

    2008-10-01

    Higher levels of albumin excretion within the normal range are associated with cardiovascular disease in high-risk individuals. Whether incremental increases in urinary albumin excretion, even within the normal range, are associated with the development of hypertension in low-risk individuals is unknown. This study included 1065 postmenopausal women from the first Nurses' Health Study and 1114 premenopausal women from the second Nurses' Health Study who had an albumin/creatinine ratio who did not have diabetes or hypertension. Among the older women, 271 incident cases of hypertension occurred during 4 yr of follow-up, and among the younger women, 296 incident cases of hypertension occurred during 8 yr of follow-up. Cox proportional hazards regression was used to examine prospectively the association between the albumin/creatinine ratio and incident hypertension after adjustment for age, body mass index, estimated GFR, baseline BP, physical activity, smoking, and family history of hypertension. Participants who had an albumin/creatinine ratio in the highest quartile (4.34 to 24.17 mg/g for older women and 3.68 to 23.84 mg/g for younger women) were more likely to develop hypertension than those who had an albumin/creatinine ratio in the lowest quartile (hazard ratio 1.76 [95% confidence interval 1.21 to 2.56] and hazard ratio 1.35 [95% confidence interval 0.97 to 1.91] for older and younger women, respectively). Higher albumin/creatinine ratios, even within the normal range, are independently associated with increased risk for development of hypertension among women without diabetes. The definition of normal albumin excretion should be reevaluated.

  3. The higher level of complexity of K-Ras4B activation at the membrane

    Science.gov (United States)

    Jang, Hyunbum; Banerjee, Avik; Chavan, Tanmay S.; Lu, Shaoyong; Zhang, Jian; Gaponenko, Vadim; Nussinov, Ruth

    2016-01-01

    Is nucleotide exchange sufficient to activate K-Ras4B? To signal, oncogenic rat sarcoma (Ras) anchors in the membrane and recruits effectors by exposing its effector lobe. With the use of NMR and molecular dynamics (MD) simulations, we observed that in solution, farnesylated guanosine 5′-diphosphate (GDP)-bound K-Ras4B is predominantly autoinhibited by its hypervariable region (HVR), whereas the GTP-bound state favors an activated, HVR-released state. On the anionic membrane, the catalytic domain adopts multiple orientations, including parallel (∼180°) and perpendicular (∼90°) alignments of the allosteric helices, with respect to the membrane surface direction. In the autoinhibited state, the HVR is sandwiched between the effector lobe and the membrane; in the active state, with membrane-anchored farnesyl and unrestrained HVR, the catalytic domain fluctuates reinlessly, exposing its effector-binding site. Dimerization and clustering can reduce the fluctuations. This achieves preorganized, productive conformations. Notably, we also observe HVR-autoinhibited K-Ras4B-GTP states, with GDP-bound-like orientations of the helices. Thus, we propose that the GDP/GTP exchange may not be sufficient for activation; instead, our results suggest that the GDP/GTP exchange, HVR sequestration, farnesyl insertion, and orientation/localization of the catalytic domain at the membrane conjointly determine the active or inactive state of K-Ras4B. Importantly, K-Ras4B-GTP can exist in active and inactive states; on its own, GTP binding may not compel K-Ras4B activation.—Jang, H., Banerjee, A., Chavan, T. S, Lu, S., Zhang, J., Gaponenko, V., Nussinov, R. The higher level of complexity of K-Ras4B activation at the membrane. PMID:26718888

  4. The higher level of complexity of K-Ras4B activation at the membrane.

    Science.gov (United States)

    Jang, Hyunbum; Banerjee, Avik; Chavan, Tanmay S; Lu, Shaoyong; Zhang, Jian; Gaponenko, Vadim; Nussinov, Ruth

    2016-04-01

    Is nucleotide exchange sufficient to activate K-Ras4B? To signal, oncogenic rat sarcoma (Ras) anchors in the membrane and recruits effectors by exposing its effector lobe. With the use of NMR and molecular dynamics (MD) simulations, we observed that in solution, farnesylated guanosine 5'-diphosphate (GDP)-bound K-Ras4B is predominantly autoinhibited by its hypervariable region (HVR), whereas the GTP-bound state favors an activated, HVR-released state. On the anionic membrane, the catalytic domain adopts multiple orientations, including parallel (∼180°) and perpendicular (∼90°) alignments of the allosteric helices, with respect to the membrane surface direction. In the autoinhibited state, the HVR is sandwiched between the effector lobe and the membrane; in the active state, with membrane-anchored farnesyl and unrestrained HVR, the catalytic domain fluctuates reinlessly, exposing its effector-binding site. Dimerization and clustering can reduce the fluctuations. This achieves preorganized, productive conformations. Notably, we also observe HVR-autoinhibited K-Ras4B-GTP states, with GDP-bound-like orientations of the helices. Thus, we propose that the GDP/GTP exchange may not be sufficient for activation; instead, our results suggest that the GDP/GTP exchange, HVR sequestration, farnesyl insertion, and orientation/localization of the catalytic domain at the membrane conjointly determine the active or inactive state of K-Ras4B. Importantly, K-Ras4B-GTP can exist in active and inactive states; on its own, GTP binding may not compel K-Ras4B activation.-Jang, H., Banerjee, A., Chavan, T. S, Lu, S., Zhang, J., Gaponenko, V., Nussinov, R. The higher level of complexity of K-Ras4B activation at the membrane. © FASEB.

  5. Flexible Description Language for HPC based Processing of Remote Sense Data

    Science.gov (United States)

    Nandra, Constantin; Gorgan, Dorian; Bacu, Victor

    2016-04-01

    When talking about Big Data, the most challenging aspect lays in processing them in order to gain new insight, find new patterns and gain knowledge from them. This problem is likely most apparent in the case of Earth Observation (EO) data. With ever higher numbers of data sources and increasing data acquisition rates, dealing with EO data is indeed a challenge [1]. Geoscientists should address this challenge by using flexible and efficient tools and platforms. To answer this trend, the BigEarth project [2] aims to combine the advantages of high performance computing solutions with flexible processing description methodologies in order to reduce both task execution times and task definition time and effort. As a component of the BigEarth platform, WorDeL (Workflow Description Language) [3] is intended to offer a flexible, compact and modular approach to the task definition process. WorDeL, unlike other description alternatives such as Python or shell scripts, is oriented towards the description topologies, using them as abstractions for the processing programs. This feature is intended to make it an attractive alternative for users lacking in programming experience. By promoting modular designs, WorDeL not only makes the processing descriptions more user-readable and intuitive, but also helps organizing the processing tasks into independent sub-tasks, which can be executed in parallel on multi-processor platforms in order to improve execution times. As a BigEarth platform [4] component, WorDeL represents the means by which the user interacts with the system, describing processing algorithms in terms of existing operators and workflows [5], which are ultimately translated into sets of executable commands. The WorDeL language has been designed to help in the definition of compute-intensive, batch tasks which can be distributed and executed on high-performance, cloud or grid-based architectures in order to improve the processing time. Main references for further

  6. Accessing the mental space-Spatial working memory processes for language and vision overlap in precuneus.

    Science.gov (United States)

    Wallentin, Mikkel; Weed, Ethan; Østergaard, Leif; Mouridsen, Kim; Roepstorff, Andreas

    2008-05-01

    The "overlapping systems" theory of language function argues that linguistic meaning construction crucially relies on contextual information provided by "nonlinguistic" cognitive systems, such as perception and memory. This study examines whether linguistic processing of spatial relations established by reading sentences call on the same posterior parietal neural system involved in processing spatial relations set up through visual input. Subjects read simple sentences, which presented two agents in relation to each other, and were subsequently asked to evaluate spatial (e.g., "Was he turned towards her?") and equally concrete nonspatial content (e.g., "Was he older than her?"). We found that recall of the spatial content relative to the nonspatial content resulted in higher BOLD response in a dorsoposterior network of brain regions, most significantly in precuneus, strikingly overlapping a network previously shown to be involved in recall of spatial aspects of images depicting similar scenarios. This supports a neurocognitive model of language function, where sentences establish meaning by interacting with the perceptual and working memory networks of the brain. (Copyright) 2006 Wiley-Liss, Inc.

  7. Controlled categorisation processing in brand extension evaluation by Indo-European language speakers. An ERP study.

    Science.gov (United States)

    Fudali-Czyż, Agnieszka; Ratomska, Marta; Cudo, Andrzej; Francuz, Piotr; Kopiś, Natalia; Tużnik, Przemysław

    2016-08-15

    The purpose of our experiment was to test event-related potentials (ERP) accompanying the process of brand extension evaluation in people speaking Indo-European languages. The experimental procedure consisted of sequential presentations of pairs of stimuli; namely, a beverage brand name and a product name. The products fell into the category of beverages (congruent trials) or clothes (incongruent trials). In the response condition (RC), the participants decided whether they accepted the product as an extension of the brand. In the no-response condition (NRC), the participants' task was to attend the stimuli and try to remember them. In the response condition, the amplitudes of the N270, P300 and N400 components were sensitive to incongruence between the product category and the previously presented brand. However, in the no-response condition, differences emerged only at the level of early P1 and P2 components. Our results suggest that, in people speaking one of the Indo-European languages, the process of categorisation in brand extension evaluation is not automatic. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  8. CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.

    Science.gov (United States)

    Soysal, Ergin; Wang, Jingqi; Jiang, Min; Wu, Yonghui; Pakhomov, Serguei; Liu, Hongfang; Xu, Hua

    2017-11-24

    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: journals.permissions@oup.com.

  9. Language networks in anophthalmia: maintained hierarchy of processing in 'visual' cortex.

    Science.gov (United States)

    Watkins, Kate E; Cowey, Alan; Alexander, Iona; Filippini, Nicola; Kennedy, James M; Smith, Stephen M; Ragge, Nicola; Bridge, Holly

    2012-05-01

    Imaging studies in blind subjects have consistently shown that sensory and cognitive tasks evoke activity in the occipital cortex, which is normally visual. The precise areas involved and degree of activation are dependent upon the cause and age of onset of blindness. Here, we investigated the cortical language network at rest and during an auditory covert naming task in five bilaterally anophthalmic subjects, who have never received visual input. When listening to auditory definitions and covertly retrieving words, these subjects activated lateral occipital cortex bilaterally in addition to the language areas activated in sighted controls. This activity was significantly greater than that present in a control condition of listening to reversed speech. The lateral occipital cortex was also recruited into a left-lateralized resting-state network that usually comprises anterior and posterior language areas. Levels of activation to the auditory naming and reversed speech conditions did not differ in the calcarine (striate) cortex. This primary 'visual' cortex was not recruited to the left-lateralized resting-state network and showed high interhemispheric correlation of activity at rest, as is typically seen in unimodal cortical areas. In contrast, the interhemispheric correlation of resting activity in extrastriate areas was reduced in anophthalmia to the level of cortical areas that are heteromodal, such as the inferior frontal gyrus. Previous imaging studies in the congenitally blind show that primary visual cortex is activated in higher-order tasks, such as language and memory to a greater extent than during more basic sensory processing, resulting in a reversal of the normal hierarchy of functional organization across 'visual' areas. Our data do not support such a pattern of organization in anophthalmia. Instead, the patterns of activity during task and the functional connectivity at rest are consistent with the known hierarchy of processing in these areas

  10. From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing

    Directory of Open Access Journals (Sweden)

    Juan Andres Laura

    2018-03-01

    Full Text Available In recent studies Recurrent Neural Networks were used for generative processes and their surprising performance can be explained by their ability to create good predictions. In addition, Data Compression is also based on prediction. What the problem comes down to is whether a data compressor could be used to perform as well as recurrent neural networks in the natural language processing tasks of sentiment analysis and automatic text generation. If this is possible, then the problem comes down to determining if a compression algorithm is even more intelligent than a neural network in such tasks. In our journey, a fundamental difference between a Data Compression Algorithm and Recurrent Neural Networks has been discovered.

  11. Multiple languages and mathematics in the process of argumentation in a physics class: Analysis of data from an Inquiry Laboratory

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    Alex Bellucco do Carmo

    2012-05-01

    Full Text Available We analyzed within the framework of Stephen Toulmin (2006, the process of argument started by a teacher, to build the mathematical language as a way of interpreting data from an inquiry lab about heating water. The activity was part of a inquiry teaching class that was applied in the first year of high school, at a public school in the State of São Paulo. The cooperative use of several languages was important to strengthen the various elements of the argument, while the mathematical languages such as graphical and algebraic had the role of guarantees and refuted the conclusions, giving strength to the latter.

  12. Modelling language

    CERN Document Server

    Cardey, Sylviane

    2013-01-01

    In response to the need for reliable results from natural language processing, this book presents an original way of decomposing a language(s) in a microscopic manner by means of intra/inter‑language norms and divergences, going progressively from languages as systems to the linguistic, mathematical and computational models, which being based on a constructive approach are inherently traceable. Languages are described with their elements aggregating or repelling each other to form viable interrelated micro‑systems. The abstract model, which contrary to the current state of the art works in int

  13. Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks.

    Science.gov (United States)

    Zhang, Xingyu; Kim, Joyce; Patzer, Rachel E; Pitts, Stephen R; Patzer, Aaron; Schrager, Justin D

    2017-10-26

    To describe and compare logistic regression and neural network modeling strategies to predict hospital admission or transfer following initial presentation to Emergency Department (ED) triage with and without the addition of natural language processing elements. Using data from the National Hospital Ambulatory Medical Care Survey (NHAMCS), a cross-sectional probability sample of United States EDs from 2012 and 2013 survey years, we developed several predictive models with the outcome being admission to the hospital or transfer vs. discharge home. We included patient characteristics immediately available after the patient has presented to the ED and undergone a triage process. We used this information to construct logistic regression (LR) and multilayer neural network models (MLNN) which included natural language processing (NLP) and principal component analysis from the patient's reason for visit. Ten-fold cross validation was used to test the predictive capacity of each model and receiver operating curves (AUC) were then calculated for each model. Of the 47,200 ED visits from 642 hospitals, 6,335 (13.42%) resulted in hospital admission (or transfer). A total of 48 principal components were extracted by NLP from the reason for visit fields, which explained 75% of the overall variance for hospitalization. In the model including only structured variables, the AUC was 0.824 (95% CI 0.818-0.830) for logistic regression and 0.823 (95% CI 0.817-0.829) for MLNN. Models including only free-text information generated AUC of 0.742 (95% CI 0.731- 0.753) for logistic regression and 0.753 (95% CI 0.742-0.764) for MLNN. When both structured variables and free text variables were included, the AUC reached 0.846 (95% CI 0.839-0.853) for logistic regression and 0.844 (95% CI 0.836-0.852) for MLNN. The predictive accuracy of hospital admission or transfer for patients who presented to ED triage overall was good, and was improved with the inclusion of free text data from a patient

  14. A UMLS-based spell checker for natural language processing in vaccine safety

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    Liu Fang

    2007-02-01

    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

  15. Towards the understanding of the requirements of a communication language to support process interoperation in cross-disciplinary supply chains

    OpenAIRE

    DAS , BISHNU PADA; Young , R I M; Case , K; Rahimifard , S; Anumba , C; Bouchlaghem , N; Cutting Decelle , Anne-Francoise

    2007-01-01

    Abstract Many manufacturing organisations while doing business either directly or indirectly with other industrial sectors often encounter interoperability problems amongst software systems. This increases the business cost and reduces the efficiency. Research communities are exploring ways to reduce this cost. Incompatibility amongst the syntaxes and the semantics of the languages of application systems is the most common cause to this problem. The Process Specification Language (...

  16. Endangered Languages.

    Science.gov (United States)

    Hale, Ken; And Others

    1992-01-01

    Endangered languages, or languages on the verge of becoming extinct, are discussed in relation to the larger process of loss of cultural and intellectual diversity. This article summarizes essays presented at the 1991 Linguistic Society of America symposium, "Endangered Languages and Their Preservation." (11 references) (LB)

  17. Jazz drummers recruit language-specific areas for the processing of rhythmic structure.

    Science.gov (United States)

    Herdener, Marcus; Humbel, Thierry; Esposito, Fabrizio; Habermeyer, Benedikt; Cattapan-Ludewig, Katja; Seifritz, Erich

    2014-03-01

    Rhythm is a central characteristic of music and speech, the most important domains of human communication using acoustic signals. Here, we investigated how rhythmical patterns in music are processed in the human brain, and, in addition, evaluated the impact of musical training on rhythm processing. Using fMRI, we found that deviations from a rule-based regular rhythmic structure activated the left planum temporale together with Broca's area and its right-hemispheric homolog across subjects, that is, a network also crucially involved in the processing of harmonic structure in music and the syntactic analysis of language. Comparing the BOLD responses to rhythmic variations between professional jazz drummers and musical laypersons, we found that only highly trained rhythmic experts show additional activity in left-hemispheric supramarginal gyrus, a higher-order region involved in processing of linguistic syntax. This suggests an additional functional recruitment of brain areas usually dedicated to complex linguistic syntax processing for the analysis of rhythmical patterns only in professional jazz drummers, who are especially trained to use rhythmical cues for communication.

  18. Lexical influence on stress processing in a fixed-stress language.

    Science.gov (United States)

    Garami, Linda; Ragó, Anett; Honbolygó, Ferenc; Csépe, Valéria

    2017-07-01

    In the present study, we investigate how lexicality affects the processing of suprasegmental features at the word level. In contrast to earlier studies which analyzed the role of either segmental or suprasegmental feature in language processing our aim was to investigate the effect of the lexical status on the processing of violated stress pattern defined by linguistic rules. We have conducted a passive oddball ERP experiment, presenting a frequent CVCV word with legal (familiar) and illegal (unfamiliar) stress patterns. Former results obtained with pseudo-words in a similar paradigm enabled to assess the influence of lexical information on stress processing. The presence of lexically relevant information resulted in different ERP patterns compared to those obtained with pseudo-words. We obtained two consecutive MMN responses to the illegally stressed words while violating the illegal stress pattern with a legal one the deviant stimulus elicited two consecutive MMN responses as well. In the latter condition lexicality clearly enhanced the comparison of prosodic information between standard and deviant stimuli, as these components very completely missing when presenting pseudo-words. We interpret the results that lexicality acts as a filter since in the absence of lexical familiarity unfamiliar stress patterns are discriminated better. Our results highlight that even when stress is fully predictable, it is taken into account during pre-attentive processing of linguistic input. Copyright © 2017 Elsevier B.V. All rights reserved.

  19. Natural Language Processing Based Instrument for Classification of Free Text Medical Records

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    Manana Khachidze

    2016-01-01

    Full Text Available According to the Ministry of Labor, Health and Social Affairs of Georgia a new health management system has to be introduced in the nearest future. In this context arises the problem of structuring and classifying documents containing all the history of medical services provided. The present work introduces the instrument for classification of medical records based on the Georgian language. It is the first attempt of such classification of the Georgian language based medical records. On the whole 24.855 examination records have been studied. The documents were classified into three main groups (ultrasonography, endoscopy, and X-ray and 13 subgroups using two well-known methods: Support Vector Machine (SVM and K-Nearest Neighbor (KNN. The results obtained demonstrated that both machine learning methods performed successfully, with a little supremacy of SVM. In the process of classification a “shrink” method, based on features selection, was introduced and applied. At the first stage of classification the results of the “shrink” case were better; however, on the second stage of classification into subclasses 23% of all documents could not be linked to only one definite individual subclass (liver or binary system due to common features characterizing these subclasses. The overall results of the study were successful.

  20. Challenges and insights for situated language processing: Comment on "Towards a computational comparative neuroprimatology: Framing the language-ready brain" by Michael A. Arbib

    Science.gov (United States)

    Knoeferle, Pia

    2016-03-01

    In his review article [19], Arbib outlines an ambitious research agenda: to accommodate within a unified framework the evolution, the development, and the processing of language in natural settings (implicating other systems such as vision). He does so with neuro-computationally explicit modeling in mind [1,2] and inspired by research on the mirror neuron system in primates. Similar research questions have received substantial attention also among other scientists [3,4,12].

  1. A Classification of Sentences Used in Natural Language Processing in the Military Services.

    Science.gov (United States)

    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…

  2. Linguistic Diversity in the International Workplace: Language Ideologies and Processes of Exclusion

    Science.gov (United States)

    Lønsmann, Dorte

    2014-01-01

    This article draws on a study of language choice and language ideologies in an international company in Denmark. It focuses on the linguistic and social challenges that are related to the diversity of language competences among employees in the modern workplace. Research on multilingualism at work has shown that employees may be excluded from…

  3. Infant Statistical-Learning Ability Is Related to Real-Time Language Processing

    Science.gov (United States)

    Lany, Jill; Shoaib, Amber; Thompson, Abbie; Estes, Katharine Graf

    2018-01-01

    Infants are adept at learning statistical regularities in artificial language materials, suggesting that the ability to learn statistical structure may support language development. Indeed, infants who perform better on statistical learning tasks tend to be more advanced in parental reports of infants' language skills. Work with adults suggests…

  4. The Link between Form and Meaning in American Sign Language: Lexical Processing Effects

    Science.gov (United States)

    Thompson, Robin L.; Vinson, David P.; Vigliocco, Gabriella

    2009-01-01

    Signed languages exploit iconicity (the transparent relationship between meaning and form) to a greater extent than spoken languages. where it is largely limited to onomatopoeia. In a picture-sign matching experiment measuring reaction times, the authors examined the potential advantage of iconicity both for 1st- and 2nd-language learners of…

  5. Very Early Processing Skills and Language Acquisition in Autism Spectrum Disorder

    Science.gov (United States)

    Kushner, Nicole Blake

    2017-01-01

    With the increasing prevalence of autism diagnoses, large percentage of diagnosed individuals with comorbid language difficulties, and negative effects of these difficulties on language development and overall functioning, research on language acquisition in children diagnosed with autism spectrum disorder is essential. The current study used data…

  6. Writing in first and second language: empirical studies on text quality and writing processes

    NARCIS (Netherlands)

    Tillema, M.

    2012-01-01

    This thesis is about writing proficiency among students of secondary education. Due to globalization, the ability to express oneself in a language other than the first language (L1) is increasingly becoming a condition for educational success. In The Netherlands, this ‘other’ or second language (L2)

  7. Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems.

    Science.gov (United States)

    Choi, Hyungsuk; Choi, Woohyuk; Quan, Tran Minh; Hildebrand, David G C; Pfister, Hanspeter; Jeong, Won-Ki

    2014-12-01

    As the size of image data from microscopes and telescopes increases, the need for high-throughput processing and visualization of large volumetric data has become more pressing. At the same time, many-core processors and GPU accelerators are commonplace, making high-performance distributed heterogeneous computing systems affordable. However, effectively utilizing GPU clusters is difficult for novice programmers, and even experienced programmers often fail to fully leverage the computing power of new parallel architectures due to their steep learning curve and programming complexity. In this paper, we propose Vivaldi, a new domain-specific language for volume processing and visualization on distributed heterogeneous computing systems. Vivaldi's Python-like grammar and parallel processing abstractions provide flexible programming tools for non-experts to easily write high-performance parallel computing code. Vivaldi provides commonly used functions and numerical operators for customized visualization and high-throughput image processing applications. We demonstrate the performance and usability of Vivaldi on several examples ranging from volume rendering to image segmentation.

  8. An integrated domain specific language for post-processing and visualizing electrophysiological signals in Java.

    Science.gov (United States)

    Strasser, T; Peters, T; Jagle, H; Zrenner, E; Wilke, R

    2010-01-01

    Electrophysiology of vision - especially the electroretinogram (ERG) - is used as a non-invasive way for functional testing of the visual system. The ERG is a combined electrical response generated by neural and non-neuronal cells in the retina in response to light stimulation. This response can be recorded and used for diagnosis of numerous disorders. For both clinical practice and clinical trials it is important to process those signals in an accurate and fast way and to provide the results as structured, consistent reports. Therefore, we developed a freely available and open-source framework in Java (http://www.eye.uni-tuebingen.de/project/idsI4sigproc). The framework is focused on an easy integration with existing applications. By leveraging well-established software patterns like pipes-and-filters and fluent interfaces as well as by designing the application programming interfaces (API) as an integrated domain specific language (DSL) the overall framework provides a smooth learning curve. Additionally, it already contains several processing methods and visualization features and can be extended easily by implementing the provided interfaces. In this way, not only can new processing methods be added but the framework can also be adopted for other areas of signal processing. This article describes in detail the structure and implementation of the framework and demonstrate its application through the software package used in clinical practice and clinical trials at the University Eye Hospital Tuebingen one of the largest departments in the field of visual electrophysiology in Europe.

  9. Teachers' attitudes and understandings about process writing in the School of Foreign Languages at Muğla University

    OpenAIRE

    Gümüş, Özlem

    2002-01-01

    Ankara : The Department of Teaching English as a Foreign Language, the Institute of Economics and Social Sciences of Bilkent University, 2002. Thesis (Master's) -- Bilkent University, 2002. Includes bibliographical references leaves 96-99. In the last 25 years, process writing has grown to dominate the traditional approaches in writing instruction. Many studies have looked at process writing in terms of implementation or the composing processes of students using process writ...

  10. Conceptual dissonance: evaluating the efficacy of natural language processing techniques for validating translational knowledge constructs.

    Science.gov (United States)

    Payne, Philip R O; Kwok, Alan; Dhaval, Rakesh; Borlawsky, Tara B

    2009-03-01

    The conduct of large-scale translational studies presents significant challenges related to the storage, management and analysis of integrative data sets. Ideally, the application of methodologies such as conceptual knowledge discovery in databases (CKDD) provides a means for moving beyond intuitive hypothesis discovery and testing in such data sets, and towards the high-throughput generation and evaluation of knowledge-anchored relationships between complex bio-molecular and phenotypic variables. However, the induction of such high-throughput hypotheses is non-trivial, and requires correspondingly high-throughput validation methodologies. In this manuscript, we describe an evaluation of the efficacy of a natural language processing-based approach to validating such hypotheses. As part of this evaluation, we will examine a phenomenon that we have labeled as "Conceptual Dissonance" in which conceptual knowledge derived from two or more sources of comparable scope and granularity cannot be readily integrated or compared using conventional methods and automated tools.

  11. Argumentative processes on a opinion article of the Portuguese Language Olympics

    Directory of Open Access Journals (Sweden)

    Gilton Sampaio de Souza

    2017-09-01

    Full Text Available This study aims to analyze the different types of arguments, considering them central parts of argumentative processes, in opinion articles of the Portuguese Language Olympiad written on the topic “Where I live.” To analyze the arguments in the selected articles we adopted the assumptions of the New Rhetoric (PERELMAN; OLBRECHTS-TYTECA, 2005, associated with the studies of Bakhtin (2003, 2010 and of Souza (2003, 2008, 2009, among others. We selected five articles awarded in different competitions (2008, 2010, 2012, which are in public domain, available on the official site of the Olympics. Most of the articles have their theses made by the arguments that support the actual structure, highlighting the relations of cause/effect and fact/consequence. Based on the established connection between the facts, speakers/ writers seek to understand these relationships and at the same time, explain and justify arguments and controversies involving issues related to their experience in the community.

  12. On application of image analysis and natural language processing for music search

    Science.gov (United States)

    Gwardys, Grzegorz

    2013-10-01

    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.

  13. Natural Language Processing in Serious Games: A state of the art.

    Directory of Open Access Journals (Sweden)

    Davide Picca

    2015-09-01

    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.

  14. DEVELOPMENT OF ECOLOGICAL CULTURE OF STUDENTS IN THE PROCESS OF INTERCULTURAL COMMUNICATION IN FOREIGN LANGUAGE

    Directory of Open Access Journals (Sweden)

    L. M. Andryukhina

    2017-01-01

    Full Text Available Introduction. High level of ecological culture in modern society is the most important condition of self-preservation and sustainable development of a human civilization. The processes of globalization force to consider environmental problems with a support on polycultural practice, to take into account national and regional peculiarities in their integrity. Thus, there is the need of the international cooperation not only at the government level, but also at the levels of expert communities, separate groups of society and citizens of the country. Moreover, ecological culture is constantly highlighted in numerous studies, materials and documents of the international forums, summits and conferences of the UN and UNESCO. The aim of this publication is to present the authors’ didactic complex of development tools of ecological culture of students, and to show the potential of teaching foreign languages (on the example of French for students’ ecological culture formation by means of development of cross-cultural communicative competence.  Methodology and research methods. Culturological approach has been chosen as a key approach for creation of integrative model of development of ecological culture. The methods involve: the system-based analysis of the content of ecological education; generalization of the theory and practice of implementation of the international strategies of ecological culture development and the analysis of efficiency of the pedagogical technologies intended for this purpose; modeling of the process of formation of ecological culture of students. The diagnostics of components of students’ ecological culture has been performed by means of internal questioning, observation, and comparative analysis of group interactions. Also, pedagogical ascertaining experiments, methods of pedagogical design for forms of the educational environment organization, design of the educational programmes, and methods of graphical

  15. Proceedings of the 4th International Workshop on Constraints and Language Processing, CSLP 2007

    DEFF Research Database (Denmark)

    , and the Programming, Logic and Intelligent Systems Research Group & the Department of Communication, Business and Information Technologies, Roskilde University, Denmark. Finally we dedicate this volume to Peter Rossen Skadhauge, who sadly and unexpectedly passed away last year. He has been a member of the program...... our invited speaker, Annelies Braffort, who will talk on the modelling of spatio-temporal constraints in sign language processing. We will also express a special thanks to Barbara Hemforth who accepted to send us a late paper which emphasizes the importance of the psycholinguistic dimension...... in this research. This volume contains papers accepted for the workshop based on an open call, and each paper has been reviewed by three or four members of the program committee. As editors, we would also like to thank the other members of the organization committee, Philippe Blache and Veronica Dahl, whose...

  16. Harmonization and development of resources and tools for Italian natural language processing within the PARLI project

    CERN Document Server

    Bosco, Cristina; Delmonte, Rodolfo; Moschitti, Alessandro; Simi, Maria

    2015-01-01

    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.

  17. Workshop on using natural language processing applications for enhancing clinical decision making: an executive summary.

    Science.gov (United States)

    Pai, Vinay M; Rodgers, Mary; Conroy, Richard; Luo, James; Zhou, Ruixia; Seto, Belinda

    2014-02-01

    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.

  18. Accurate Identification of Fatty Liver Disease in Data Warehouse Utilizing Natural Language Processing.

    Science.gov (United States)

    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

    2017-10-01

    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.

  19. Learning algorithms and automatic processing of languages; Algorithmes a apprentissage et traitement automatique des langues

    Energy Technology Data Exchange (ETDEWEB)

    Fluhr, Christian Yves Andre

    1977-06-15

    This research thesis concerns the field of artificial intelligence. It addresses learning algorithms applied to automatic processing of languages. The author first briefly describes some mechanisms of human intelligence in order to describe how these mechanisms are simulated on a computer. He outlines the specific role of learning in various manifestations of intelligence. Then, based on the Markov's algorithm theory, the author discusses the notion of learning algorithm. Two main types of learning algorithms are then addressed: firstly, an 'algorithm-teacher dialogue' type sanction-based algorithm which aims at learning how to solve grammatical ambiguities in submitted texts; secondly, an algorithm related to a document system which structures semantic data automatically obtained from a set of texts in order to be able to understand by references to any question on the content of these texts.

  20. PROFILING THE PHONOLOGICAL PROCESSES SHAPING THE FOSSILISED IL OF ADULT SPANISH LEARNERS OF ENGLISH AS FOREIGN LANGUAGE. SOME THEORETICAL IMPLICATIONS.

    Directory of Open Access Journals (Sweden)

    Rafael Monroy Casas

    2001-06-01

    Full Text Available In the ever-growing literature dealing with the acquisition by adults of the phonetics and phonology of a foreign language (FL, research has tried to provide an answer to the complex nature of cross-language transfer. The fact that despite idiosyncratic differences and sociolinguistic variation most adults learners of a foreign language (FL speak with an accent which is a reflection of their native language (NL and that their progress is impaired at a certain stage prompted a host of questions such as whether adults follow identical or different paths of development in their approach to a foreign language, whether those speaking the same native language are able to identify target language categories in the same way, whether perception and production are interdependent, the nature of the learning abilities and the interplay of transfer with universals. These and other problems relating to foreign language speech have been approached from different angles and theoretical frameworks (see Leather & James (1 99 1 for an overview, and more recently Leather (1999. The research reported here, based on the oral production of sixty-five Spanish adult learners of English as a FL, tries to shed some light on one of well-known problems related to the acquisition of a foreign language by non-native speakers: the analysis of different types of phonological processes shaping the fossilised interlanguage (IL of adult FL learners in order to see a whether they are adhered to by those adult learners sharing identical L1; b whether frozen IL reflects transfer from the leamer's L1 or is the result of developmental (Le. universal processes. In this connection we(1987 and SimilarityIDifferential Rate Hypothesis (1999 or Ekman's Markedness Differential Hypothesis (1977 and Structural Conformity Hypothesis in connection with some of the processes under analysis. Optimality Theory will be brought in in dealing with some problems encountered under Cluster Simplification

  1. Bilingual recognition memory: stronger performance but weaker levels-of-processing effects in the less fluent language.

    Science.gov (United States)

    Francis, Wendy S; Gutiérrez, Marisela

    2012-04-01

    The effects of bilingual proficiency on recognition memory were examined in an experiment with Spanish-English bilinguals. Participants learned lists of words in English and Spanish under shallow- and deep-encoding conditions. Overall, hit rates were higher, discrimination greater, and response times shorter in the nondominant language, consistent with effects previously observed for lower frequency words. Levels-of-processing effects in hit rates, discrimination, and response time were stronger in the dominant language. Specifically, with shallow encoding, the advantage for the nondominant language was larger than with deep encoding. The results support the idea that memory performance in the nondominant language is impacted by both the greater demand for cognitive resources and the lower familiarity of the words.

  2. Creation of a simple natural language processing tool to support an imaging utilization quality dashboard.

    Science.gov (United States)

    Swartz, Jordan; Koziatek, Christian; Theobald, Jason; Smith, Silas; Iturrate, Eduardo

    2017-05-01

    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

  3. Salience and attention in surprisal-based accounts of language processing

    Directory of Open Access Journals (Sweden)

    Alessandra eZarcone

    2016-06-01

    Full Text Available The notion of salience has been singled out as the explanatory factor for a diverse range oflinguistic phenomena. In particular, perceptual salience (e.g. visual salience of objects in the world,acoustic prominence of linguistic sounds and semantic-pragmatic salience (e.g. prominence ofrecently mentioned or topical referents have been shown to influence language comprehensionand production. A different line of research has sought to account for behavioral correlates ofcognitive load during comprehension as well as for certain patterns in language usage usinginformation-theoretic notions, such as surprisal. Surprisal and salience both affect languageprocessing at different levels, but the relationship between the two has not been adequatelyelucidated, and the question of whether salience can be reduced to surprisal / predictability isstill open. Our review identifies two main challenges in addressing this question: terminologicalinconsistency and lack of integration between high and low levels of representations in salience-based accounts and surprisal-based accounts. We capitalise upon work in visual cognition inorder to orient ourselves in surveying the different facets of the notion of salience in linguisticsand their relation with models of surprisal. We find that work on salience highlights aspects oflinguistic communication that models of surprisal tend to overlook, namely the role of attentionand relevance to current goals, and we argue that the Predictive Coding framework provides aunified view which can account for the role played by attention and predictability at different levelsof processing and which can clarify the interplay between low and high levels of processes andbetween predictability-driven expectation and attention-driven focus.

  4. Language/Culture Modulates Brain and Gaze Processes in Audiovisual Speech Perception.

    Science.gov (United States)

    Hisanaga, Satoko; Sekiyama, Kaoru; Igasaki, Tomohiko; Murayama, Nobuki

    2016-10-13

    Several behavioural studies have shown that the interplay between voice and face information in audiovisual speech perception is not universal. Native English speakers (ESs) are influenced by visual mouth movement to a greater degree than native Japanese speakers (JSs) when listening to speech. However, the biological basis of these group differences is unknown. Here, we demonstrate the time-varying processes of group differences in terms of event-related brain potentials (ERP) and eye gaze for audiovisual and audio-only speech perception. On a behavioural level, while congruent mouth movement shortened the ESs' response time for speech perception, the opposite effect was observed in JSs. Eye-tracking data revealed a gaze bias to the mouth for the ESs but not the JSs, especially before the audio onset. Additionally, the ERP P2 amplitude indicated that ESs processed multisensory speech more efficiently than auditory-only speech; however, the JSs exhibited the opposite pattern. Taken together, the ESs' early visual attention to the mouth was likely to promote phonetic anticipation, which was not the case for the JSs. These results clearly indicate the impact of language and/or culture on multisensory speech processing, suggesting that linguistic/cultural experiences lead to the development of unique neural systems for audiovisual speech perception.

  5. A natural language processing pipeline for pairing measurements uniquely across free-text CT reports.

    Science.gov (United States)

    Sevenster, Merlijn; Bozeman, Jeffrey; Cowhy, Andrea; Trost, William

    2015-02-01

    To standardize and objectivize treatment response assessment in oncology, guidelines have been proposed that are driven by radiological measurements, which are typically communicated in free-text reports defying automated processing. We study through inter-annotator agreement and natural language processing (NLP) algorithm development the task of pairing measurements that quantify the same finding across consecutive radiology reports, such that each measurement is paired with at most one other ("partial uniqueness"). Ground truth is created based on 283 abdomen and 311 chest CT reports of 50 patients each. A pre-processing engine segments reports and extracts measurements. Thirteen features are developed based on volumetric similarity between measurements, semantic similarity between their respective narrative contexts and structural properties of their report positions. A Random Forest classifier (RF) integrates all features. A "mutual best match" (MBM) post-processor ensures partial uniqueness. In an end-to-end evaluation, RF has precision 0.841, recall 0.807, F-measure 0.824 and AUC 0.971; with MBM, which performs above chance level (P0.960) indicates that the task is well defined. Domain properties and inter-section differences are discussed to explain superior performance in abdomen. Enforcing partial uniqueness has mixed but minor effects on performance. A combined machine learning-filtering approach is proposed for pairing measurements, which can support prospective (supporting treatment response assessment) and retrospective purposes (data mining). Copyright © 2014 Elsevier Inc. All rights reserved.

  6. Energetic arousal and language: predictions from the computational theory of quantifiers processing.

    Science.gov (United States)

    Zajenkowski, Marcin

    2013-10-01

    The author examines the relationship between energetic arousal (EA) and the processing of sentences containing natural-language quantifiers. Previous studies and theories have shown that energy may differentially affect various cognitive functions. Recent investigations devoted to quantifiers strongly support the theory that various types of quantifiers involve different cognitive functions in the sentence-picture verification task. In the present study, 201 students were presented with a sentence-picture verification task consisting of simple propositions containing a quantifier that referred to the color of a car on display. Color pictures of cars accompanied the propositions. In addition, the level of participants' EA was measured before and after the verification task. It was found that EA and performance on proportional quantifiers (e.g., "More than half of the cars are red") are in an inverted U-shaped relationship. This result may be explained by the fact that proportional sentences engage working memory to a high degree, and previous models of EA-cognition associations have been based on the assumption that tasks that require parallel attentional and memory processes are best performed when energy is moderate. The research described in the present article has several applications, as it shows the optimal human conditions for verbal comprehension. For instance, it may be important in workplace design to control the level of arousal experienced by office staff when work is mostly related to the processing of complex texts. Energy level may be influenced by many factors, such as noise, time of day, or thermal conditions.

  7. Associations between Depressive State and Impaired Higher-Level Functional Capacity in the Elderly with Long-Term Care Requirements.

    Science.gov (United States)

    Ogata, Soshiro; Hayashi, Chisato; Sugiura, Keiko; Hayakawa, Kazuo

    2015-01-01

    Depressive state has been reported to be significantly associated with higher-level functional capacity among community-dwelling elderly. However, few studies have investigated the associations among people with long-term care requirements. We aimed to investigate the associations between depressive state and higher-level functional capacity and obtain marginal odds ratios using propensity score analyses in people with long-term care requirements. We conducted a cross-sectional study based on participants aged ≥ 65 years (n = 545) who were community dwelling and used outpatient care services for long-term preventive care. We measured higher-level functional capacity, depressive state, and possible confounders. Then, we estimated the marginal odds ratios (i.e., the change in odds of impaired higher-level functional capacity if all versus no participants were exposed to depressive state) by logistic models using generalized linear models with the inverse probability of treatment weighting (IPTW) for propensity score and design-based standard errors. Depressive state was used as the exposure variable and higher-level functional capacity as the outcome variable. The all absolute standardized differences after the IPTW using the propensity scores were functional capacity.

  8. Automatic Lung-RADS™ classification with a natural language processing system.

    Science.gov (United States)

    Beyer, Sebastian E; McKee, Brady J; Regis, Shawn M; McKee, Andrea B; Flacke, Sebastian; El Saadawi, Gilan; Wald, Christoph

    2017-09-01

    Our aim was to train a natural language processing (NLP) algorithm to capture imaging characteristics of lung nodules reported in a structured CT report and suggest the applicable Lung-RADS™ (LR) category. Our study included structured, clinical reports of consecutive CT lung screening (CTLS) exams performed from 08/2014 to 08/2015 at an ACR accredited Lung Cancer Screening Center. All patients screened were at high-risk for lung cancer according to the NCCN Guidelines ® . All exams were interpreted by one of three radiologists credentialed to read CTLS exams using LR using a standard reporting template. Training and test sets consisted of consecutive exams. Lung screening exams were divided into two groups: three training sets (500, 120, and 383 reports each) and one final evaluation set (498 reports). NLP algorithm results were compared with the gold standard of LR category assigned by the radiologist. The sensitivity/specificity of the NLP algorithm to correctly assign LR categories for suspicious nodules (LR 4) and positive nodules (LR 3/4) were 74.1%/98.6% and 75.0%/98.8% respectively. The majority of mismatches occurred in cases where pulmonary findings were present not currently addressed by LR. Misclassifications also resulted from the failure to identify exams as follow-up and the failure to completely characterize part-solid nodules. In a sub-group analysis among structured reports with standardized language, the sensitivity and specificity to detect LR 4 nodules were 87.0% and 99.5%, respectively. An NLP system can accurately suggest the appropriate LR category from CTLS exam findings when standardized reporting is used.

  9. Taking Advertising Literacy to a Higher Level: An Exploratory Multilevel Analysis of Children's Advertising Literacy

    OpenAIRE

    De Pauw, Pieter; Cauberghe, Veroline; Hudders, Liselot

    2017-01-01

    As few studies focus on how children’s coping with advertising is affected by their environment, the present study uses multilevel analysis to explore the role of both primary (i.e. parents) and secondary socializing agents (i.e. classmates, teachers) in children’s advertising literacy. The results show that children’s cognitive advertising literacy and attitudes toward advertising are to a large extent determined by class-level processes. Their moral advertising literacy is a more individual...

  10. A Comparison of Comprehension Processes in Sign Language Interpreter Videos with or without Captions.

    Science.gov (United States)

    Debevc, Matjaž; Milošević, Danijela; Kožuh, Ines

    2015-01-01

    One important theme in captioning is whether the implementation of captions in individual sign language interpreter videos can positively affect viewers' comprehension when compared with sign language interpreter videos without captions. In our study, an experiment was conducted using four video clips with information about everyday events. Fifty-one deaf and hard of hearing sign language users alternately watched the sign language interpreter videos with, and without, captions. Afterwards, they answered ten questions. The results showed that the presence of captions positively affected their rates of comprehension, which increased by 24% among deaf viewers and 42% among hard of hearing viewers. The most obvious differences in comprehension between watching sign language interpreter videos with and without captions were found for the subjects of hiking and culture, where comprehension was higher when captions were used. The results led to suggestions for the consistent use of captions in sign language interpreter videos in various media.

  11. Neurobiological roots of language in primate audition: common computational properties.

    Science.gov (United States)

    Bornkessel-Schlesewsky, Ina; Schlesewsky, Matthias; Small, Steven L; Rauschecker, Josef P

    2015-03-01

    Here, we present a new perspective on an old question: how does the neurobiology of human language relate to brain systems in nonhuman primates? We argue that higher-order language combinatorics, including sentence and discourse processing, can be situated in a unified, cross-species dorsal-ventral streams architecture for higher auditory processing, and that the functions of the dorsal and ventral streams in higher-order language processing can be grounded in their respective computational properties in primate audition. This view challenges an assumption, common in the cognitive sciences, that a nonhuman primate model forms an inherently inadequate basis for modeling higher-level language functions. Copyright © 2014 Elsevier Ltd. All rights reserved.

  12. Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.

    Science.gov (United States)

    Li, Shan; Lin, Ruokuang; Bian, Chunhua; Ma, Qianli D Y; Ivanov, Plamen Ch

    2016-01-01

    Scaling laws characterize diverse complex systems in a broad range of fields, including physics, biology, finance, and social science. The human language is another example of a complex system of words organization. Studies on written texts have shown that scaling laws characterize the occurrence frequency of words, words rank, and the growth of distinct words with increasing text length. However, these studies have mainly concentrated on the western linguistic systems, and the laws that govern the lexical organization, structure and dynamics of the Chinese language remain not well understood. Here we study a database of Chinese and English language books. We report that three distinct scaling laws characterize words organization in the Chinese language. We find that these scaling laws have different exponents and crossover behaviors compared to English texts, indicating different words organization and dynamics of words in the process of text growth. We propose a stochastic feedback model of words organization and text growth, which successfully accounts for the empirically observed scaling laws with their corresponding scaling exponents and characteristic crossover regimes. Further, by varying key model parameters, we reproduce differences in the organization and scaling laws of words between the Chinese and English language. We also identify functional relationships between model parameters and the empirically observed scaling exponents, thus providing new insights into the words organization and growth dynamics in the Chinese and English language.

  13. Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.

    Directory of Open Access Journals (Sweden)

    Shan Li

    Full Text Available Scaling laws characterize diverse complex systems in a broad range of fields, including physics, biology, finance, and social science. The human language is another example of a complex system of words organization. Studies on written texts have shown that scaling laws characterize the occurrence frequency of words, words rank, and the growth of distinct words with increasing text length. However, these studies have mainly concentrated on the western linguistic systems, and the laws that govern the lexical organization, structure and dynamics of the Chinese language remain not well understood. Here we study a database of Chinese and English language books. We report that three distinct scaling laws characterize words organization in the Chinese language. We find that these scaling laws have different exponents and crossover behaviors compared to English texts, indicating different words organization and dynamics of words in the process of text growth. We propose a stochastic feedback model of words organization and text growth, which successfully accounts for the empirically observed scaling laws with their corresponding scaling exponents and characteristic crossover regimes. Further, by varying key model parameters, we reproduce differences in the organization and scaling laws of words between the Chinese and English language. We also identify functional relationships between model parameters and the empirically observed scaling exponents, thus providing new insights into the words organization and growth dynamics in the Chinese and English language.

  14. Bilingual language processing after a lesion in the left thalamic and temporal regions. A case report with early childhood onset

    International Nuclear Information System (INIS)

    van Lieshout, P.; Renier, W.; Eling, P.; de Bot, K.; Slis, I.

    1990-01-01

    This case study concerns an 18-year-old bilingual girl who suffered a radiation lesion in the left (dominant) thalamic and temporal region when she was 4 years old. Language and memory assessment revealed deficits in auditory short-term memory, auditory word comprehension, nonword repetition, syntactic processing, word fluency, and confrontation naming tasks. Both languages (English and Dutch) were found to be affected in a similar manner, despite the fact that one language (English) was acquired before and the other (Dutch) after the period of lesion onset. Most of the deficits appear to be related to verbal (short-term) memory dysfunction. Several hypotheses of subcortical involvement in memory processes are discussed with reference to existing theories in this area

  15. Written production of learners of Portuguese as an additional foreign language: referentiation as a sociocognitive processing resource

    Directory of Open Access Journals (Sweden)

    Lucia Rottava

    2011-12-01

    Full Text Available This article discusses referentiation in texts written by learners of Portuguese as an additional foreign language. Referentiation consists of construction and reconstruction of discourse objects, a product that results from cognitive and interactive activity. Among forms of interaction, written production is an interactive process as meanings derive from the interaction between writer/reader and text in complex and multifaceted experiences that involve prior experiences and/or knowledge, besides the interlocutor’s discursive purpose. Therefore, the text is the result of an action ‘under construction’ made possible through the use of language. Data for this article come from written production developed in classes of Portuguese as a foreign language. The findings reveal learners’ textual processing and its peculiarities resulting from the learners’ proficiency levels and the requirements of the type and theme of the specified task.

  16. Phase transitions between lower and higher level management learning in times of crisis: an experimental study based on synergetics.

    Science.gov (United States)

    Liening, Andreas; Strunk, Guido; Mittelstadt, Ewald

    2013-10-01

    Much has been written about the differences between single- and double-loop learning, or more general between lower level and higher level learning. Especially in times of a fundamental crisis, a transition between lower and higher level learning would be an appropriate reaction to a challenge coming entirely out of the dark. However, so far there is no quantitative method to monitor such a transition. Therefore we introduce theory and methods of synergetics and present results from an experimental study based on the simulation of a crisis within a business simulation game. Hypothesized critical fluctuations - as a marker for so-called phase transitions - have been assessed with permutation entropy. Results show evidence for a phase transition during the crisis, which can be interpreted as a transition between lower and higher level learning.

  17. An Initial Investigation of the Neural Correlates of Word Processing in Preschoolers With Specific Language Impairment.

    Science.gov (United States)

    Haebig, Eileen; Leonard, Laurence; Usler, Evan; Deevy, Patricia; Weber, Christine

    2018-03-15

    Previous behavioral studies have found deficits in lexical-semantic abilities in children with specific language impairment (SLI), including reduced depth and breadth of word knowledge. This study explored the neural correlates of early emerging familiar word processing in preschoolers with SLI and typical development. Fifteen preschoolers with typical development and 15 preschoolers with SLI were presented with pictures followed after a brief delay by an auditory label that did or did not match. Event-related brain potentials were time locked to the onset of the auditory labels. Children provided verbal judgments of whether the label matched the picture. There were no group differences in the accuracy of identifying when pictures and labels matched or mismatched. Event-related brain potential data revealed that mismatch trials elicited a robust N400 in both groups, with no group differences in mean amplitude or peak latency. However, the typically developing group demonstrated a more robust late positive component, elicited by mismatch trials. These initial findings indicate that lexical-semantic access of early acquired words, indexed by the N400, does not differ between preschoolers with SLI and typical development when highly familiar words are presented in isolation. However, the typically developing group demonstrated a more mature profile of postlexical reanalysis and integration, indexed by an emerging late positive component. The findings lay the necessary groundwork for better understanding processing of newly learned words in children with SLI.

  18. Cross-language activation of morphological relatives in cognates: The role of orthographic overlap and task-related processing

    Directory of Open Access Journals (Sweden)

    Kimberley eMulder

    2015-02-01

    Full Text Available We considered the role of orthography and task-related processing mechanisms in the activation of morphologically related complex words during bilingual word processing. So far, it has only been shown that such morphologically related words (i.e., morphological family members are activated through the semantic and morphological overlap they share with the target word. In this study, we investigated family size effects in Dutch-English identical cognates (e.g., tent in both languages, non-identical cognates (e.g., pil and pill, in English and Dutch, respectively, and non-cognates (e.g., chicken in English. Because of their cross-linguistic overlap in orthography, reading a cognate can result in activation of family members both languages. Cognates are therefore well-suited for studying mechanisms underlying bilingual activation of morphologically complex words. We investigated family size effects in an English lexical decision task and a Dutch-English language decision task, both performed by Dutch-English bilinguals. English lexical decision showed a facilitatory effect of English and Dutch family size on the processing of English-Dutch cognates relative to English non-cognates. These family size effects were not dependent on cognate type. In contrast, for language decision, in which a bilingual context is created, Dutch and English family size effects were inhibitory. Here, the combined family size of both languages turned out to better predict reaction time than the separate family size in Dutch or English. Moreover, the combined family size interacted with cognate type: The response to identical cognates was slowed by morphological family members in both languages. We conclude that (1 family size effects are sensitive to the task performed on the lexical items, and (2 depend on both semantic and formal aspects of bilingual word processing. We discuss various mechanisms that can explain the observed family size effects in a spreading

  19. Cross-language activation of morphological relatives in cognates: the role of orthographic overlap and task-related processing

    Science.gov (United States)

    Mulder, Kimberley; Dijkstra, Ton; Baayen, R. Harald

    2015-01-01

    We considered the role of orthography and task-related processing mechanisms in the activation of morphologically related complex words during bilingual word processing. So far, it has only been shown that such morphologically related words (i.e., morphological family members) are activated through the semantic and morphological overlap they share with the target word. In this study, we investigated family size effects in Dutch-English identical cognates (e.g., tent in both languages), non-identical cognates (e.g., pil and pill, in English and Dutch, respectively), and non-cognates (e.g., chicken in English). Because of their cross-linguistic overlap in orthography, reading a cognate can result in activation of family members both languages. Cognates are therefore well-suited for studying mechanisms underlying bilingual activation of morphologically complex words. We investigated family size effects in an English lexical decision task and a Dutch-English language decision task, both performed by Dutch-English bilinguals. English lexical decision showed a facilitatory effect of English and Dutch family size on the processing of English-Dutch cognates relative to English non-cognates. These family size effects were not dependent on cognate type. In contrast, for language decision, in which a bilingual context is created, Dutch and English family size effects were inhibitory. Here, the combined family size of both languages turned out to better predict reaction time than the separate family size in Dutch or English. Moreover, the combined family size interacted with cognate type: the response to identical cognates was slowed by morphological family members in both languages. We conclude that (1) family size effects are sensitive to the task performed on the lexical items, and (2) depend on both semantic and formal aspects of bilingual word processing. We discuss various mechanisms that can explain the observed family size effects in a spreading activation framework

  20. FORMATION OF CROSS-CULTURAL COMPETENCE OF FOREIGN STUDENTS IN THE PROCESS OF LEARNING UKRAINIAN AS A FOREIGN LANGUAGE

    Directory of Open Access Journals (Sweden)

    Галина Дідук-Ступ'як

    2015-12-01

    Full Text Available The article is devoted to the problem of formation of cross-cultural competence of foreign students in the process of learning Ukrainian as a foreign language. Theoretical and pragmatic ways of intercultural communication methods for speakers of a foreign language in four types of speech activity have been substantiated. There have been determined linguistic and didactic principles of learning the Ukrainian language as a foreign language using authorial technology of interaction of different approaches that promotes the development of effective cross-cultural competence of foreign students. The main components of the innovative technology of work with foreign language audience have been characterized; a system of tasks and exercises aimed at mastering linguistic, socio-cultural and pragmatic competences has been set. There have been determined linguistic and methodical problems of comparative methodology, which authoring technology LTIRP with the usage of authentic texts is based on. Traditional and new forms, methods and techniques of teaching foreign students in the process of formation of cross-cultural competence have been considered.

  1. Dual-stream accounts bridge the gap between monkey audition and human language processing. Comment on "Towards a Computational Comparative Neuroprimatology: Framing the language-ready brain" by Michael Arbib

    Science.gov (United States)

    Garrod, Simon; Pickering, Martin J.

    2016-03-01

    Over the last few years there has been a resurgence of interest in dual-stream dorsal-ventral accounts of language processing [4]. This has led to recent attempts to bridge the gap between the neurobiology of primate audition and human language processing with the dorsal auditory stream assumed to underlie time-dependent (and syntactic) processing and the ventral to underlie some form of time-independent (and semantic) analysis of the auditory input [3,10]. Michael Arbib [1] considers these developments in relation to his earlier Mirror System Hypothesis about the origins of human language processing [11].

  2. Changing Perspectives on Research in Reading/Language Processing and Instruction. Thirty-Third Yearbook of the National Reading Conference.

    Science.gov (United States)

    Niles, Jerome A., Ed.; Harris, Larry A., Ed.

    Reflecting current themes that researchers, by their selective attention, have indicated are important in the field of reading/language processing and instruction, this yearbook presents a collection of 51 selected research articles from the National Reading Conference for 1983. Included are the following articles, listed with their authors: (1)…

  3. Automated assessment of patients' self-narratives for posttraumatic stress disorder screening using natural language processing and text mining

    NARCIS (Netherlands)

    He, Qiwei; Veldkamp, Bernard P.; Glas, Cornelis A.W.; de Vries, Theo

    2017-01-01

    Patients’ narratives about traumatic experiences and symptoms are useful in clinical screening and diagnostic procedures. In this study, we presented an automated assessment system to screen patients for posttraumatic stress disorder via a natural language processing and text-mining approach. Four

  4. The Development of English Language Teaching Skills for Graduate Students through the Process of Learning by Doing

    Science.gov (United States)

    Likitrattanaporn, Wannakarn

    2017-01-01

    The purposes of this investigation were (1) to examine the findings of effectiveness of the process of learning-by-doing; (2) to develop students' skill of designing English teaching materials and teaching English language; and (3) to determine an efficient format of learning-by-doing used for training student-teachers in the skill of teaching…

  5. Extensible Markup Language: How Might It Alter the Software Documentation Process and the Role of the Technical Communicator?

    Science.gov (United States)

    Battalio, John T.

    2002-01-01

    Describes the influence that Extensible Markup Language (XML) will have on the software documentation process and subsequently on the curricula of advanced undergraduate and master's programs in technical communication. Recommends how curricula of advanced undergraduate and master's programs in technical communication ought to change in order to…

  6. Effects of Lexical Features, Textual Properties, and Individual Differences on Word Processing Times during Second Language Reading Comprehension

    Science.gov (United States)

    Kim, Minkyung; Crossley, Scott A.; Skalicky, Stephen

    2018-01-01

    This study examines whether lexical features and textual properties along with individual differences on the part of readers influence word processing times during second language (L2) reading comprehension. Forty-eight Spanish-speaking adolescent and adult learners of English read nine English passages in a self-paced word-by-word reading…

  7. AIED 2009 Workshops Proceeedings Volume 10: Natural Language Processing in Support of Learning: Metrics, Feedback and Connectivity

    NARCIS (Netherlands)

    Dessus, Philippe; Trausan-Matu, Stefan; Van Rosmalen, Peter; Wild, Fridolin

    2009-01-01

    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

  8. Cultural and Social Processes of Language Brokering among Arab, Asian, and Latin Immigrants

    Science.gov (United States)

    Guan, Shu-Sha Angie; Nash, Afaf; Orellana, Marjorie Faulstich

    2016-01-01

    This study examines how language and culture brokering (translating and interpreting language and culture for others) influences the acculturative experiences and self-perceptions of young adults from immigrant Arab, Asian, and Latino American backgrounds. Semi-structured interviews with 10 participants suggest that mediating information for…

  9. Speech-Language Therapists' Process of Including Significant Others in Aphasia Rehabilitation

    Science.gov (United States)

    Hallé, Marie-Christine; Le Dorze, Guylaine; Mingant, Anne

    2014-01-01

    Background: Although aphasia rehabilitation should include significant others, it is currently unknown how this recommendation is adopted in speech-language therapy practice. Speech-language therapists' (SLTs) experience of including significant others in aphasia rehabilitation is also understudied, yet a better understanding of clinical…

  10. Sentence Processing in an Artificial Language: Learning and Using Combinatorial Constraints

    Science.gov (United States)

    Amato, Michael S.; MacDonald, Maryellen C.

    2010-01-01

    A study combining artificial grammar and sentence comprehension methods investigated the learning and online use of probabilistic, nonadjacent combinatorial constraints. Participants learned a small artificial language describing cartoon monsters acting on objects. Self-paced reading of sentences in the artificial language revealed comprehenders'…

  11. That's frowned upon : Using facial EMG to track evaluation and simulation during affective language processing

    NARCIS (Netherlands)

    't Hart, B.

    2017-01-01

    This thesis presents research on the interface between language and emotion. Specifically, it investigates the way language describing emotions and emotional events is understood. It does so within the theoretical framework of grounded cognition. The main aim in the experiments is an examination of

  12. Connective processing by bilingual children and monolinguals with specific language impairment : distinct profiles

    NARCIS (Netherlands)

    Mak, W.M.; Tribushinina, E.; Lomako, Julia; Gagarina, N.; Abrosova, Ekaterina; Sanders, T.J.M.

    2017-01-01

    Production studies show that both Russian-speaking children with specific language impairment (SLI) and bilingual children for whom Russian is a non-dominant language have difficulty distinguishing between the near-synonymous connectives i ‘and’ and a ‘and/but’. I is a preferred connective when

  13. Investigating Sentence Processing and Language Segmentation in Explaining Children's Performance on a Sentence-Span Task

    Science.gov (United States)

    Mainela-Arnold, Elina; Misra, Maya; Miller, Carol; Poll, Gerard H.; Park, Ji Sook

    2012-01-01

    Background: Children with poor language abilities tend to perform poorly on verbal working memory tasks. This result has been interpreted as evidence that limitations in working memory capacity may interfere with the development of a mature linguistic system. However, it is possible that language abilities, such as the efficiency of sentence…

  14. Parallel language activation during word processing in bilinguals: Evidence from word production in sentence context

    NARCIS (Netherlands)

    Starreveld, P.A.; de Groot, A.M.B.; Rossmark, B.M.M.; van Hell, J.G.

    2014-01-01

    In two picture-naming experiments we examined whether bilinguals co-activate the non-target language during word production in the target language. The pictures were presented out-of-context (Experiment 1) or in visually presented sentence contexts (Experiment 2). In both experiments different

  15. Neural Differences in Bilingual Children's Arithmetic Processing Depending on Language of Instruction

    NARCIS (Netherlands)

    Mondt, K.; Struys, E.; Noort, M.W.M.L. van den; Balériaux, D.; Metens, T.; Paquier, P.; Craen, P. van de; Bosch, M.P.C.; Denolin, V.

    2011-01-01

    Many children in bilingual regions follow lessons in a language at school (school-language) that they hardly ever speak at home or in other informal settings. What are the neural effects of this phenomenon? This functional magnetic resonance imaging (fMRI) study investigates the effects of using

  16. Medical Signbank: Bringing Deaf People and Linguists Together in the Process of Language Development

    Science.gov (United States)

    Johnston, Trevor; Napier, Jemina

    2010-01-01

    In this article we describe an Australian project in which linguists, signed language interpreters, medical and health care professionals, and members of the Deaf community use the technology of the Internet to facilitate cooperative language development. A web-based, interactive multimedia lexicon, an encyclopedic dictionary, and a database of…

  17. Electrophysiology of Perception and Processing of Phonological Information as Indices of Toddlers' Language Performance

    Science.gov (United States)

    Harwood, Vanessa; Preston, Jonathan; Grela, Bernard; Roy, Dooti; Harold, Olivia; Turcios, Jacqueline; Andrada, Kiyomi; Landi, Nicole

    2017-01-01

    Purpose: The toddler years are a critical period for language development and growth. We investigated how event-related potentials (ERPs) to repeated and novel nonwords are associated with clinical assessments of language in young children. In addition, nonword repetition (NWR) was used to measure phonological working memory to determine the…

  18. Frozen Actions in the Arctic Linguistic Landscape: A Nexus Analysis of Language Processes in Visual Space

    Science.gov (United States)

    Pietikainen, Sari; Lane, Pia; Salo, Hanni; Laihiala-Kankainen, Sirkka

    2011-01-01

    This article examines the linguistic landscape (LL) of seven villages above the Arctic Circle, in the region called North Calotte. The area forms a complex nexus of contested and changing multilingualism, particularly as regards to endangered indigenous Sami languages and Kven and Meankieli minority languages. Viewing LL as a discursively…

  19. Chemical Genetics — A Versatile Method to Combine Science and Higher Level Teaching in Molecular Genetics

    Directory of Open Access Journals (Sweden)

    Björn Sandrock

    2012-10-01

    Full Text Available Phosphorylation is a key event in many cellular processes like cell cycle, transformation of environmental signals to transcriptional activation or polar growth. The chemical genetics approach can be used to analyse the effect of highly specific inhibition in vivo and is a promising method to screen for kinase targets. We have used this approach to study the role of the germinal centre kinase Don3 during the cell division in the phytopathogenic fungus Ustilago maydis. Due to the easy determination of the don3 phenotype we have chosen this approach for a genetic course for M.Sc. students and for IMPRS (International Max-Planck research school students. According to the principle of “problem-based learning” the aim of this two-week course is to transfer knowledge about the broad spectrum of kinases to the students and that the students acquire the ability to design their own analog-sensitive kinase of interest. In addition to these training goals, we benefit from these annual courses the synthesis of basic constructs for genetic modification of several kinases in our model system U. maydis.

  20. Evolutionary Science as a Method to Facilitate Higher Level Thinking and Reasoning in Medical Training.

    Science.gov (United States)

    Graves, Joseph L; Reiber, Chris; Thanukos, Anna; Hurtado, Magdalena; Wolpaw, Terry

    2016-10-15

    Evolutionary science is indispensable for understanding biological processes. Effective medical treatment must be anchored in sound biology. However, currently the insights available from evolutionary science are not adequately incorporated in either pre-medical or medical school curricula. To illuminate how evolution may be helpful in these areas, examples in which the insights of evolutionary science are already improving medical treatment and ways in which evolutionary reasoning can be practiced in the context of medicine are provided. In order to facilitate the learning of evolutionary principles, concepts derived from evolutionary science that medical students and professionals should understand are outlined. These concepts are designed to be authoritative and at the same time easily accessible for anyone with the general biological knowledge of a first-year medical student. Thus we conclude that medical practice informed by evolutionary principles will be more effective and lead to better patient outcomes.Furthermore, it is argued that evolutionary medicine complements general medical training because it provides an additional means by which medical students can practice the critical thinking skills that will be important in their future practice. We argue that core concepts from evolutionary science have the potential to improve critical thinking and facilitate more effective learning in medical training. © The Author(s) 2016. Published by Oxford University Press on behalf of the Foundation for Evolution, Medicine, and Public Health.

  1. Language Proficiency and Cultural Identity as Two Facets of the Acculturation Process

    Directory of Open Access Journals (Sweden)

    Kmiotek Łukasz

    2017-10-01

    Full Text Available This article describes a cross-cultural study comparing bicultural identity of first generation Poles and high school students in the Rhône Alpes region (France, as well as French language university students in Poland. Studies show that two components, language and identity, are related. This article intends to answer questions regarding the relationship between the migrant’s bicultural identity and language proficiency. Bilingualism is operationalized as (i listening comprehension and (ii bidirectional translation. The results do not confirm that there is a relation between bilingual skills and identification with shared French and Polish values. Cultural identity appears to be inversely related to country of residence: Polish identity is strongest amongst immigrant youth in France and French identity is strongest amongst Polish students of French language and culture. These identities run in opposite direction to language competencies. The results suggest internalization of one of the cultures' negative stereotypes towards the other or towards itself.

  2. Right-hemispheric processing of non-linguistic word features: implications for mapping language recovery after stroke.

    Science.gov (United States)

    Baumgaertner, Annette; Hartwigsen, Gesa; Roman Siebner, Hartwig

    2013-06-01

    Verbal stimuli often induce right-hemispheric activation in patients with aphasia after left-hemispheric stroke. This right-hemispheric activation is commonly attributed to functional reorganization within the language system. Yet previous evidence suggests that functional activation in right-hemispheric homologues of classic left-hemispheric language areas may partly be due to processing nonlinguistic perceptual features of verbal stimuli. We used functional MRI (fMRI) to clarify the role of the right hemisphere in the perception of nonlinguistic word features in healthy individuals. Participants made perceptual, semantic, or phonological decisions on the same set of auditorily and visually presented word stimuli. Perceptual decisions required judgements about stimulus-inherent changes in font size (visual modality) or fundamental frequency contour (auditory modality). The semantic judgement required subjects to decide whether a stimulus is natural or man-made; the phonologic decision required a decision on whether a stimulus contains two or three syllables. Compared to phonologic or semantic decision, nonlinguistic perceptual decisions resulted in a stronger right-hemispheric activation. Specifically, the right inferior frontal gyrus (IFG), an area previously suggested to support language recovery after left-hemispheric stroke, displayed modality-independent activation during perceptual processing of word stimuli. Our findings indicate that activation of the right hemisphere during language tasks may, in some instances, be driven by a "nonlinguistic perceptual processing" mode that focuses on nonlinguistic word features. This raises the possibility that stronger activation of right inferior frontal areas during language tasks in aphasic patients with left-hemispheric stroke may at least partially reflect increased attentional focus on nonlinguistic perceptual aspects of language. Copyright © 2012 Wiley Periodicals, Inc.

  3. Formalizing WS-BPEL and Higher Order Mobile Embedded Business Processes in the Bigraphical Programming Languages (BPL) Tool

    DEFF Research Database (Denmark)

    Bundgaard, Mikkel; Glenstrup, Arne John; Hildebrandt, Thomas

    is the starting point of an endeavor to provide a completely formalized and extensible business process engine within the Computer Supported Mobile Adaptive Business Processes (CosmoBiz) research project at the IT University of Copenhagen. Building upon the formalization of WS-BPEL we propose and formalize Home......BPEL, a higher-order WS-BPEL-like business process execution language where processes are first-class values that can be stored in variables, passed as messages, and activated as embedded sub-instances. A sub-instance is similar to a WS-BPEL scope, except that it can be dynamically frozen and stored as a process...

  4. Changing conditions require a higher level of entrepreneurship by farmers: use of an interactive strategic management tool

    NARCIS (Netherlands)

    Beldman, A.C.G.; Lakner, D.; Smit, A.B.

    2013-01-01

    Changing conditions require a higher level of entrepreneurship by farmers. The method of interactive strategic management (ISM) has been developed to support farmers in developing strategic skills. The method is based on three principles: (1) emphasis is on the entrepreneur; (2) interaction with the

  5. Modelling in Action. Scaffolding High School Students to Higher Levels of Autonomy: The School's Elevator and the Inverse Problem

    Science.gov (United States)

    Marmolejo Rivas, Eugenia

    2017-01-01

    In this paper, we focus our discussion on the strategy we follow to scaffold high school students to successfully build models of a real-life system. Our aim is for students to gradually achieve a higher level of autonomy and to use and further develop their mathematical knowledge. We present work students did when we asked them to build a model…

  6. Critical Sociological Thinking and Higher-Level Thinking: A Study of Sociologists' Teaching Goals and Assignments

    Science.gov (United States)

    Kane, Danielle; Otto, Kristin

    2018-01-01

    We argue that the literature on critical thinking in sociology has conflated two different skill sets: critical sociological thinking and higher-level thinking. To begin to examine how sociologists weigh and cultivate these skill sets, we interviewed 20 sociology instructors and conducted a content analysis of 26 assignments. We found that while…

  7. A large-scale, higher-level, molecular phylogenetic study of the insect order Lepidoptera (moths and butterflies)

    Science.gov (United States)

    Higher-level relationships within the Lepidoptera, and particularly within the species-rich subclade Ditrysia, are generally not well understood, although recent studies have yielded progress. 483 taxa spanning 115 of 124 families were sampled for 19 protein-coding nuclear genes. Their aligned nucle...

  8. LINGUISTIC ANALYSIS FOR THE BELARUSIAN CORPUS WITH THE APPLICATION OF NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING TECHNIQUES

    Directory of Open Access Journals (Sweden)

    Yu. S. Hetsevich

    2017-01-01

    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.

  9. The role of the speech-language pathologist in identifying and treating children with auditory processing disorder.

    Science.gov (United States)

    Richard, Gail J

    2011-07-01

    A summary of issues regarding auditory processing disorder (APD) is presented, including some of the remaining questions and challenges raised by the articles included in the clinical forum. Evolution of APD as a diagnostic entity within audiology and speech-language pathology is reviewed. A summary of treatment efficacy results and issues is provided, as well as the continuing dilemma for speech-language pathologists (SLPs) charged with providing treatment for referred APD clients. The role of the SLP in diagnosing and treating APD remains under discussion, despite lack of efficacy data supporting auditory intervention and questions regarding the clinical relevance and validity of APD.

  10. Causal knowledge extraction by natural language processing in material science: a case study in chemical vapor deposition

    Directory of Open Access Journals (Sweden)

    Yuya Kajikawa

    2006-11-01

    Full Text Available Scientific publications written in natural language still play a central role as our knowledge source. However, due to the flood of publications, the literature survey process has become a highly time-consuming and tangled process, especially for novices of the discipline. Therefore, tools supporting the literature-survey process may help the individual scientist to explore new useful domains. Natural language processing (NLP is expected as one of the promising techniques to retrieve, abstract, and extract knowledge. In this contribution, NLP is firstly applied to the literature of chemical vapor deposition (CVD, which is a sub-discipline of materials science and is a complex and interdisciplinary field of research involving chemists, physicists, engineers, and materials scientists. Causal knowledge extraction from the literature is demonstrated using NLP.

  11. Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing.

    Science.gov (United States)

    Hassanpour, Saeed; Bay, Graham; Langlotz, Curtis P

    2017-06-01

    We built a natural language processing (NLP) method to automatically extract clinical findings in radiology reports and characterize their level of change and significance according to a radiology-specific information model. We utilized a combination of machine learning and rule-based approaches for this purpose. Our method is unique in capturing different features and levels of abstractions at surface, entity, and discourse levels in text analysis. This combination has enabled us to recognize the underlying semantics of radiology report narratives for this task. We evaluated our method on radiology reports from four major healthcare organizations. Our evaluation showed the efficacy of our method in highlighting important changes (accuracy 99.2%, precision 96.3%, recall 93.5%, and F1 score 94.7%) and identifying significant observations (accuracy 75.8%, precision 75.2%, recall 75.7%, and F1 score 75.3%) to characterize radiology reports. This method can help clinicians quickly understand the key observations in radiology reports and facilitate clinical decision support, review prioritization, and disease surveillance.

  12. Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective

    Directory of Open Access Journals (Sweden)

    Nikolaos Aletras

    2016-10-01

    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.

  13. Taking your own path: Individual differences in executive function and language processing skills in child learners.

    Science.gov (United States)

    Woodard, Kristina; Pozzan, Lucia; Trueswell, John C

    2016-01-01

    Children as old as 5 or 6 years display selective difficulties in revising initial interpretive commitments, as indicated by both online and offline measures of sentence comprehension. It is likely, however, that individual children differ in how well they can recover from misinterpretations and in the age at which they become adult-like in these abilities. To better understand the cognitive functions that support sentence processing and revision, the current work investigated how individual differences in children's ability to interpret temporarily ambiguous sentences relate to individual differences in other linguistic and domain-general cognitive abilities. Children were tested over 2 days on a battery of executive function, working memory, and language comprehension tasks. Performance on these tasks was then used to predict online and offline measures of children's ability to revise initial misinterpretations of temporarily ambiguous sentences. We found two measures of children's cognitive flexibility to be related to their ambiguity resolution abilities. These results provide converging evidence for the hypothesis that the ability to revise initial interpretive commitments is supported by domain-general executive function abilities, which are highly variable and not fully developed in children. Copyright © 2015 Elsevier Inc. All rights reserved.

  14. The effect of modifiable healthy practices on higher-level functional capacity decline among Japanese community dwellers

    Directory of Open Access Journals (Sweden)

    Rei Otsuka

    2017-03-01

    Full Text Available This study aimed to clarify the effects of the accumulation of 8 modifiable practices related to health, including smoking, alcohol drinking, physical activity, sleeping hours, body mass index, dietary diversity, ikigai (life worth living, and health checkup status, on higher-level functional capacity decline among Japanese community dwellers. Data were derived from the National Institute for Longevity Sciences - Longitudinal Study of Aging. Subjects comprised 1269 men and women aged 40 to 79 years at baseline (1997–2000 who participated in a follow-up postal survey (2013. Higher-level functional capacity was measured using the Tokyo Metropolitan Institute of Gerontology Index of Competence (total score and 3 subscales: instrumental self-maintenance, intellectual activity, and social role. The odds ratio (OR and 95% confidence interval (CI for a decline in higher-level functional capacity in the follow-up study according to the total number of healthy practices were analyzed using the lowest category as a reference. Multivariate adjusted ORs (95% CIs for the total score of higher-level functional capacity, which declined according to the total number of healthy practices (0–4, 5–6, 7–8 groups were 1.00 (reference, 0.63 (0.44–0.92, and 0.54 (0.31–0.94. For the score of social role decline, multivariate adjusted ORs (95% CIs were 1.00 (reference, 0.62 (0.40–0.97, and 0.46 (0.23–0.90, respectively (P for trend = 0.04. Having more modifiable healthy practices, especially in social roles, may protect against a decline in higher-level functional capacity among middle-aged and elderly community dwellers in Japan.

  15. The effect of modifiable healthy practices on higher-level functional capacity decline among Japanese community dwellers.

    Science.gov (United States)

    Otsuka, Rei; Nishita, Yukiko; Tange, Chikako; Tomida, Makiko; Kato, Yuki; Nakamoto, Mariko; Ando, Fujiko; Shimokata, Hiroshi; Suzuki, Takao

    2017-03-01

    This study aimed to clarify the effects of the accumulation of 8 modifiable practices related to health, including smoking, alcohol drinking, physical activity, sleeping hours, body mass index, dietary diversity, ikigai (life worth living), and health checkup status, on higher-level functional capacity decline among Japanese community dwellers. Data were derived from the National Institute for Longevity Sciences - Longitudinal Study of Aging. Subjects comprised 1269 men and women aged 40 to 79 years at baseline (1997-2000) who participated in a follow-up postal survey (2013). Higher-level functional capacity was measured using the Tokyo Metropolitan Institute of Gerontology Index of Competence (total score and 3 subscales: instrumental self-maintenance, intellectual activity, and social role). The odds ratio (OR) and 95% confidence interval (CI) for a decline in higher-level functional capacity in the follow-up study according to the total number of healthy practices were analyzed using the lowest category as a reference. Multivariate adjusted ORs (95% CIs) for the total score of higher-level functional capacity, which declined according to the total number of healthy practices (0-4, 5-6, 7-8 groups) were 1.00 (reference), 0.63 (0.44-0.92), and 0.54 (0.31-0.94). For the score of social role decline, multivariate adjusted ORs (95% CIs) were 1.00 (reference), 0.62 (0.40-0.97), and 0.46 (0.23-0.90), respectively (P for trend = 0.04). Having more modifiable healthy practices, especially in social roles, may protect against a decline in higher-level functional capacity among middle-aged and elderly community dwellers in Japan.

  16. Health status among long-term breast cancer survivors suffering from higher levels of fatigue: a cross-sectional study.

    Science.gov (United States)

    Álvarez-Salvago, Francisco; Galiano-Castillo, Noelia; Arroyo-Morales, Manuel; Cruz-Fernández, Mayra; Lozano-Lozano, Mario; Cantarero-Villanueva, Irene

    2018-05-05

    The aims of this study were to evaluate the health status of long-term breast cancer survivors (LTBCS) suffering from higher levels of fatigue, to highlight their needs, and to establish the key points of intervention support programs. A cross-sectional observational study was conducted at the Sport and Health Joint University Institute (iMUDS) between September 2016 and July 2017 with 80 LTBCS that were classified into non-fatigued (≤ 3.9) or fatigued (≥ 4) according to the Piper Fatigue Scale (PFS) total score. The instruments used were the European Organization for Research and Treatment of Cancer Core 30 and its breast cancer (BC) module, the Visual Analog Scale (VAS), the Brief Pain Inventory (BPI), the Scale for Mood Assessment (EVEA), the International Fitness Scale (IFIS), and the Charlson Comorbidity Index. The analysis revealed that 41.2% of LTBCS were considered moderately fatigued and showed significantly higher levels for the categories of "nausea and vomiting" (P = .005), "pain," "dyspnea" and "insomnia" (P < .001), "appetite loss" (P = .002), "financial difficulties" (P = .010), "systemic therapy side effects" (P < .001), "breast symptoms" and "arm symptoms" (P = .002), and "upset by hair loss" (P = .016). In addition, LTBCS presented significantly higher levels of pain in the affected and non-affected arm, "sadness-depression." "anxiety," "anger/hostility" (All: P < .001), and lower general physical fitness (P < .001). The rest of the variables did not show significant differences. LTBCS suffering from higher levels of fatigue had lower QoL, higher level of pain, worse mood state, and lower physical fitness.

  17. Automated Trait Extraction using ClearEarth, a Natural Language Processing System for Text Mining in Natural Sciences

    OpenAIRE

    Thessen,Anne; Preciado,Jenette; Jain,Payoj; Martin,James; Palmer,Martha; Bhat,Riyaz

    2018-01-01

    The cTAKES package (using the ClearTK Natural Language Processing toolkit Bethard et al. 2014, http://cleartk.github.io/cleartk/) has been successfully used to automatically read clinical notes in the medical field (Albright et al. 2013, Styler et al. 2014). It is used on a daily basis to automatically process clinical notes and extract relevant information by dozens of medical institutions. ClearEarth is a collaborative project that brings together computational linguistics and domain scient...

  18. From "cracking the orthographic code" to "playing with language": toward a usage-based foundation of the reading process.

    Science.gov (United States)

    Wallot, Sebastian

    2014-01-01

    The empirical study of reading dates back more than 125 years. But despite this long tradition, the scientific understanding of reading has made rather heterogeneous progress: many factors that influence the process of text reading have been uncovered, but theoretical explanations remain fragmented; no general theory pulls together the diverse findings. A handful of scholars have noted that properties thought to be at the core of the reading process do not actually generalize across different languages or from situations single-word reading to connected text reading. Such observations cast doubt on many of the traditional conceptions about reading. In this article, I suggest that the observed heterogeneity in the research is due to misguided conceptions about the reading process. Particularly problematic are the unrefined notions about meaning which undergird many reading theories: most psychological theories of reading implicitly assume a kind of elemental token semantics, where words serve as stable units of meaning in a text. This conception of meaning creates major conceptual problems. As an alternative, I argue that reading shoud be rather understood as a form of language use, which circumvents many of the conceptual problems and connects reading to a wider range of linguistic communication. Finally, drawing from Wittgenstein, the concept of "language games" is outlined as an approach to language use that can be operationalized scientifically to provide a new foundation for reading research.

  19. When novel sentences spoken or heard for the first time in the history of the universe are not enough: toward a dual-process model of language.

    Science.gov (United States)

    Van Lancker Sidtis, Diana

    2004-01-01

    Although interest in the language sciences was previously focused on newly created sentences, more recently much attention has turned to the importance of formulaic expressions in normal and disordered communication. Also referred to as formulaic expressions and made up of speech formulas, idioms, expletives, serial and memorized speech, slang, sayings, clichés, and conventional expressions, non-propositional language forms a large proportion of every speaker's competence, and may be differentially disturbed in neurological disorders. This review aims to examine non-propositional speech with respect to linguistic descriptions, psycholinguistic experiments, sociolinguistic studies, child language development, clinical language disorders, and neurological studies. Evidence from numerous sources reveals differentiated and specialized roles for novel and formulaic verbal functions, and suggests that generation of novel sentences and management of prefabricated expressions represent two legitimate and separable processes in language behaviour. A preliminary model of language behaviour that encompasses unitary and compositional properties and their integration in everyday language use is proposed. Integration and synchronizing of two disparate processes in language behaviour, formulaic and novel, characterizes normal communicative function and contributes to creativity in language. This dichotomy is supported by studies arising from other disciplines in neurology and psychology. Further studies are necessary to determine in what ways the various categories of formulaic expressions are related, and how these categories are processed by the brain. Better understanding of how non-propositional categories of speech are stored and processed in the brain can lead to better informed treatment strategies in language disorders.

  20. Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

    Science.gov (United States)

    Weng, Wei-Hung; Wagholikar, Kavishwar B; McCray, Alexa T; Szolovits, Peter; Chueh, Henry C

    2017-12-01

    The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note accurately, we have constructed a machine learning-based natural language processing (NLP) pipeline and developed medical subdomain classifiers based on the content of the note. We constructed the pipeline using the clinical NLP system, clinical Text Analysis and Knowledge Extraction System (cTAKES), the Unified Medical Language System (UMLS) Metathesaurus, Semantic Network, and learning algorithms to extract features from two datasets - clinical notes from Integrating Data for Analysis, Anonymization, and Sharing (iDASH) data repository (n = 431) and Massachusetts General Hospital (MGH) (n = 91,237), and built medical subdomain classifiers with different combinations of data representation methods and supervised learning algorithms. We evaluated the performance of classifiers and their portability across the two datasets. The convolutional recurrent neural network with neural word embeddings trained-medical subdomain classifier yielded the best performance measurement on iDASH and MGH datasets with area under receiver operating characteristic curve (AUC) of 0.975 and 0.991, and F1 scores of 0.845 and 0.870, respectively. Considering better clinical interpretability, linear support vector machine-trained medical subdomain classifier using hybrid bag-of-words and clinically relevant UMLS concepts as the feature representation, with term frequency-inverse document frequency (tf-idf)-weighting, outperformed other shallow learning classifiers on iDASH and MGH datasets with AUC of 0.957 and 0.964, and F1 scores of 0.932 and 0.934 respectively. We trained classifiers on one dataset, applied to the other dataset and yielded the threshold of F1 score of 0.7 in classifiers for half of the medical subdomains we studied. Our study shows that a supervised