Experimental, Corpus-based and Computational Approaches to Language Learning
Experimental, Corpus-based and Computational Approaches to Language Learning

Author: Patrick Rebuschat

Publisher: Wiley-Blackwell

Published: 2017-07-17

Total Pages: 0

ISBN-13: 9781119432616

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Language acquisition occupies a central place in the study of human cognition, and research on how we learn language can be found across many disciplines, from developmental psychology and linguistics to education, philosophy and neuroscience. The investigation of a complex phenomenon like language acquisition naturally requires insights, tools, and methods from many disciplines, yet it is still relatively rare to find studies that combine multiple approaches. This volume brings together leading researchers in cognitive psychology, corpus research, developmental psychology, linguistics, and natural language processing to discuss opportunities and challenges of combining multiple approaches to language learning. The peer-reviewed chapters in this volume are written in an accessible and engaging fashion. Together, they provide the reader with a panorama of the exciting research currently being conducted at the intersection of experimental, computational and corpus-based approaches to language learning. chology and linguistics to education, philosophy and neuroscience. The investigation of achology and linguistics to education, philosophy and neuroscience. The investigation of a

Computational Modeling of Human Language Acquisition
Computational Modeling of Human Language Acquisition

Author: Afra Alishahi

Publisher: Morgan & Claypool Publishers

Published: 2011

Total Pages: 108

ISBN-13: 1608453391

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In doing so, computational modeling provides insight into the plausible mechanisms involved in human language acquisition, and inspires the development of better language models and techniques. This book provides an overview of the main research quesetions in the field of human language acquisition. It reviews the most commonly used computational frameworks, methodologies and resources for modeling child language learning, and the evaluation techniques used for assessing these computational models. The book is aimed at cognitive scientists who want to become familiar with the available computational methods for investigating problems related to human language acquisition, as well as computational linguists who are interested in applying their skills to the study of child language acquisition.

Computational Approaches to Language Acquisition
Computational Approaches to Language Acquisition

Author: Michael R. Brent

Publisher: MIT Press

Published: 1997

Total Pages: 216

ISBN-13: 9780262522298

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The past fifteen years have seen great changes in the field of language acquisition. New experimental methods have yielded insights into the linguistic knowledge of ever younger children, and interest has grown in the phonological, syntactic, and semantic aspects of the lexicon. Computational investigations of language acquisition have also changed, reflecting, among other things, the profound shift in the field of natural language processing from hand-crafted grammars to grammars that are learned automatically from samples of naturally occurring language.Each of the four research papers in this book takes a novel formal approach to a particular problem in language acquisition. In the first paper, J. M. Siskind looks at developmentally inspired models of word learning. In the second, M. R. Brent and T. A. Cartwright look at how children could discover the sounds of words, given that word boundaries are not marked by any acoustic analog of the spaces between written words. In the third, P. Resnik measures the association between verbs and the semantic categories of their arguments that children likely use as clues to verb meanings. Finally, P. Niyogi and R. C. Berwick address the setting of syntactic parameters such as headedness--for example, whether the direct object comes before or after the verb.

Corpus-based Studies in Language Use, Language Learning, and Language Documentation
Corpus-based Studies in Language Use, Language Learning, and Language Documentation

Author: John Newman

Publisher: Rodopi

Published: 2011

Total Pages: 296

ISBN-13: 9401206880

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This volume consists of selected papers from the 2009 meeting of the American Association for Corpus Linguistics. The chapters cover aspects of language use (usage-based accounts of morphology/syntax of English and Tok Pisin), language learning (corpus-based learning of English, syntactic development observable in a Learner Corpus of English, “core” vocabulary items for learners of English) and language documentation (a new and innovative usage-based frequency dictionary of English, proposals to broaden the traditional understanding of a corpus in various directions, e.g., constructing a corpus of the content of Japanese manga comics). Taken together, the thirteen chapters represent a good cross-section of strands of new work in corpus linguistics, as practised by international scholars working on English and other languages.

Corpora in Language Acquisition Research
Corpora in Language Acquisition Research

Author: Heike Behrens

Publisher: John Benjamins Publishing

Published: 2008

Total Pages: 280

ISBN-13: 9789027234766

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Corpus research forms the backbone of research on children's language development. Leading researchers in the field present a survey on the history of data collection, different types of data, and the treatment of methodological problems. Morphologically and syntactically parsed corpora allow for the concise explorations of formal phenomena, the quick retrieval of errors, and reliability checks. New probabilistic and connectionist computations investigate how children integrate the multiple sources of information available in the input, and new statistical methods compute rates of acquisition as well as error rates dependent on sample size. Sample analyses show how multi-modal corpora are used to investigate the interaction of discourse and linguistic structure, how cross-linguistic generalizations for acquisition can be formulated and tested, and how individual variation can be explored. Finally, ways in which corpus research interacts with computational linguistics and experimental research are presented.

Computer Corpora and Open Source Software for Language Learning: Emerging Research and Opportunities
Computer Corpora and Open Source Software for Language Learning: Emerging Research and Opportunities

Author: Posavec, Kristina

Publisher: IGI Global

Published: 2020-04-03

Total Pages: 237

ISBN-13: 1799836827

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During the last four decades, a corpus-based approach to language teaching has become very significant. Direct use of corpora in language pedagogy is limited by certain factors: time, the lecturer’s knowledge and skills needed to analyze the corpus, access to sources such as computers and appropriate computer tools, or a combination of these factors. The key to a successful corpus-based approach is in the appropriate level of the lecturer’s guidance or pedagogical mediation, which depends on student age, experience, and prior knowledge. It is therefore very important that lecturers be equipped with the necessary knowledge and education for using and analyzing corpora on a daily basis. Computer Corpora and Open Source Software for Language Learning: Emerging Research and Opportunities is a cutting-edge research publication that analyzes teacher experiences in implementing computer corpora into their language learning classrooms in order to formulate additional insights as to best strategies for integrating such tools that maximizes language learning efficiency in primary and secondary education. Highlighting topics such as ICT tools, language education, and linguistics, this book is ideal for academicians, educators, computer science teachers, IT professionals, researchers, and students.

Natural Language Processing Using Very Large Corpora
Natural Language Processing Using Very Large Corpora

Author: S. Armstrong

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 314

ISBN-13: 9401723907

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ABOUT THIS BOOK This book is intended for researchers who want to keep abreast of cur rent developments in corpus-based natural language processing. It is not meant as an introduction to this field; for readers who need one, several entry-level texts are available, including those of (Church and Mercer, 1993; Charniak, 1993; Jelinek, 1997). This book captures the essence of a series of highly successful work shops held in the last few years. The response in 1993 to the initial Workshop on Very Large Corpora (Columbus, Ohio) was so enthusias tic that we were encouraged to make it an annual event. The following year, we staged the Second Workshop on Very Large Corpora in Ky oto. As a way of managing these annual workshops, we then decided to register a special interest group called SIGDAT with the Association for Computational Linguistics. The demand for international forums on corpus-based NLP has been expanding so rapidly that in 1995 SIGDAT was led to organize not only the Third Workshop on Very Large Corpora (Cambridge, Mass. ) but also a complementary workshop entitled From Texts to Tags (Dublin). Obviously, the success of these workshops was in some measure a re flection of the growing popularity of corpus-based methods in the NLP community. But first and foremost, it was due to the fact that the work shops attracted so many high-quality papers.

Corpus Linguistics
Corpus Linguistics

Author: Douglas Biber

Publisher: Cambridge University Press

Published: 1998-04-23

Total Pages: 324

ISBN-13: 9780521499576

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An investigation into the way people use language in speech and writing, this volume introduces the corpus-based approach, which is based on analysis of large databases of real language examples stored on computer.

Corpus-Based Methods in Language and Speech Processing
Corpus-Based Methods in Language and Speech Processing

Author: Steve Young

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 247

ISBN-13: 9401711836

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Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction to these technologies through chapters describing basic statistical modeling techniques for language and speech, the use of Hidden Markov Models in continuous speech recognition, the development of dialogue systems, part-of-speech tagging and partial parsing, data-oriented parsing and n-gram language modeling. The book attempts to give both a clear overview of the main technologies used in language and speech processing, along with sufficient mathematics to understand the underlying principles. There is also an extensive bibliography to enable topics of interest to be pursued further. Overall, we believe that the book will give newcomers a solid introduction to the field and it will give existing practitioners a concise review of the principal technologies used in state-of-the-art language and speech processing systems. Corpus-Based Methods in Language and Speech Processing is an initiative of ELSNET, the European Network in Language and Speech. In its activities, ELSNET attaches great importance to the integration of language and speech, both in research and in education. The need for and the potential of this integration are well demonstrated by this publication.