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Computational Approaches To Language Acquisition
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Book Synopsis Computational Approaches to Language Acquisition by : Michael R. Brent
Download or read book Computational Approaches to Language Acquisition written by Michael R. Brent and published by MIT Press. This book was released on 1997 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Modeling of Human Language Acquisition by : Afra Alishahi
Download or read book Computational Modeling of Human Language Acquisition written by Afra Alishahi and published by Springer Nature. This book was released on 2022-06-01 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human language acquisition has been studied for centuries, but using computational modeling for such studies is a relatively recent trend. However, computational approaches to language learning have become increasingly popular, mainly due to advances in developing machine learning techniques, and the availability of vast collections of experimental data on child language learning and child-adult interaction. Many of the existing computational models attempt to study the complex task of learning a language under cognitive plausibility criteria (such as memory and processing limitations that humans face), and to explain the developmental stages observed in children. By simulating the process of child language learning, computational models can show us which linguistic representations are learnable from the input that children have access to, and which mechanisms yield the same patterns of behaviour that children exhibit during this process. 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 questions 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. Different aspects of language learning are discussed in separate chapters, including the acquisition of the individual words, the general regularities which govern word and sentence form, and the associations between form and meaning. For each of these aspects, the challenges of the task are discussed and the relevant empirical findings on children are summarized. Furthermore, the existing computational models that attempt to simulate the task under study are reviewed, and a number of case studies are presented. Table of Contents: Overview / Computational Models of Language Learning / Learning Words / Putting Words Together / Form--Meaning Associations / Final Thoughts
Book Synopsis Computational and Corpus Approaches to Chinese Language Learning by : Xiaofei Lu
Download or read book Computational and Corpus Approaches to Chinese Language Learning written by Xiaofei Lu and published by Springer. This book was released on 2019-02-06 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of original research articles that showcase the state of the art of research in corpus and computational linguistic approaches to Chinese language teaching, learning and assessment. It offers a comprehensive set of corpus resources and natural language processing tools that are useful for teaching, learning and assessing Chinese as a second or foreign language; methods for implementing such resources and techniques in Chinese pedagogy and assessment; as well as research findings on the effectiveness of using such resources and techniques in various aspects of Chinese pedagogy and assessment.
Book Synopsis Experimental, Corpus-based and Computational Approaches to Language Learning by : Patrick Rebuschat
Download or read book Experimental, Corpus-based and Computational Approaches to Language Learning written by Patrick Rebuschat and published by Wiley-Blackwell. This book was released on 2017-07-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis A Computational Model Of First Language Acquisition by : Nobuo Satake
Download or read book A Computational Model Of First Language Acquisition written by Nobuo Satake and published by World Scientific. This book was released on 1990-01-01 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a study on the question of what sort of innate knowledge it is that enables children to acquire a first language. The author, using a computational approach, builds a model, named BUD (Bring Up a Daughter), on the basis of the data linguists and psychologists have collected.BUD is based on the empirists, view of first language acquisition (as opposed to that of the nativists'), that children make a number of rules in acquiring a first language and that over generalizations can be found in the acquisition of every aspect of a language. Thus, BUD has no built-in procedure by which it computes the structures of a language. A detailed description of the BUD model and its workings answers the question on which the study is based.
Book Synopsis Cognitive Aspects of Computational Language Acquisition by : Aline Villavicencio
Download or read book Cognitive Aspects of Computational Language Acquisition written by Aline Villavicencio and published by Springer. This book was released on 2013-01-09 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Questions related to language acquisition have been of interest for many centuries, as children seem to acquire a sophisticated capacity for processing language with apparent ease, in the face of ambiguity, noise and uncertainty. However, with recent advances in technology and cognitive-related research it is now possible to conduct large-scale computational investigations of these issues The book discusses some of the latest theoretical and practical developments in the areas involved, including computational models for language tasks, tools and resources that help to approximate the linguistic environment available to children during acquisition, and discussions of challenging aspects of language that children have to master. This is a much-needed collection that provides a cross-section of recent multidisciplinary research on the computational modeling of language acquisition. It is targeted at anyone interested in the relevance of computational techniques for understanding language acquisition. Readers of this book will be introduced to some of the latest approaches to these tasks including: * Models of acquisition of various types of linguistic information (from words to syntax and semantics) and their relevance to research on human language acquisition * Analysis of linguistic and contextual factors that influence acquisition * Resources and tools for investigating these tasks Each chapter is presented in a self-contained manner, providing a detailed description of the relevant aspects related to research on language acquisition, and includes illustrations and tables to complement these in-depth discussions. Though there are no formal prerequisites, some familiarity with the basic concepts of human and computational language acquisition is beneficial.
Book Synopsis Handbook of Generative Approaches to Language Acquisition by : Jill de Villiers
Download or read book Handbook of Generative Approaches to Language Acquisition written by Jill de Villiers and published by Springer Science & Business Media. This book was released on 2011-08-27 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern linguistic theory has been based on the promise of explaining how language acquisition can occur so rapidly with such subtlety, and with both surprising uniformity and diversity across languages. This handbook provides a summary and assessment of how far that promise has been fulfilled, exploring core concepts in acquisition theory, including notions of the initial state, parameters, triggering theory, the role of competition and frequency, and many others, across a variety of syntactic topics that have formed the central domains of investigation and debate. These topics are treated from the unique perspective of central actors in each domain who have helped shape the research agenda. The authors have presented a summary of the data, the theories under discussion, and their own best assessments of where each domain stands. Providing as well the agenda for future work in the field showing both particular needs and general directions that should be pursued in the coming decades.
Download or read book Computational Linguistics written by and published by Information Science Reference. This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Language, Cognition, and Computational Models by : Thierry Poibeau
Download or read book Language, Cognition, and Computational Models written by Thierry Poibeau and published by Cambridge University Press. This book was released on 2018-01-25 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.
Book Synopsis Computational Approaches to Morphology and Syntax by : Brian Roark
Download or read book Computational Approaches to Morphology and Syntax written by Brian Roark and published by OUP Oxford. This book was released on 2007-08-09 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will appeal to scholars and advanced students of morphology, syntax, computational linguistics and natural language processing (NLP). It provides a critical and practical guide to computational techniques for handling morphological and syntactic phenomena, showing how these techniques have been used and modified in practice. The authors discuss the nature and uses of syntactic parsers and examine the problems and opportunities of parsing algorithms for finite-state, context-free and various context-sensitive grammars. They relate approaches for describing syntax and morphology to formal mechanisms and algorithms, and present well-motivated approaches for augmenting grammars with weights or probabilities.
Book Synopsis Computational Approaches to Morphology and Syntax by : Brian Roark
Download or read book Computational Approaches to Morphology and Syntax written by Brian Roark and published by Oxford University Press. This book was released on 2007-08-09 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The authors discuss the nature and uses of syntactic parsers and examine the problems and opportunities of parsing algorithms for finite-state, context-free, and various context-sensitive grammars.
Book Synopsis Language Acquisition by : Susan Foster-Cohen
Download or read book Language Acquisition written by Susan Foster-Cohen and published by Springer. This book was released on 2009-07-16 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a snapshot of the field of language acquisition at the beginning of the 21st Century. It represents the multiplicity of approaches that characterize the field and provides a review of current topics and debates, as well as addressing some of the connections between sub-fields and possible future directions for research.
Book Synopsis Computational Complexity and Natural Language by : G. Edward Barton
Download or read book Computational Complexity and Natural Language written by G. Edward Barton and published by Bradford Books. This book was released on 1987 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: A nontechnical introduction to complexity theory: its strengths, its weaknesses, and how it can be used to study grammars.
Book Synopsis The Handbook of Computational Linguistics and Natural Language Processing by : Alexander Clark
Download or read book The Handbook of Computational Linguistics and Natural Language Processing written by Alexander Clark and published by John Wiley & Sons. This book was released on 2013-04-24 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Book Synopsis Corpora in Language Acquisition Research by : Heike Behrens
Download or read book Corpora in Language Acquisition Research written by Heike Behrens and published by John Benjamins Publishing. This book was released on 2008 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Cognitive Aspects of Computational Language Acquisition by : Aline Villavicencio
Download or read book Cognitive Aspects of Computational Language Acquisition written by Aline Villavicencio and published by Springer Science & Business Media. This book was released on 2013-01-11 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Questions related to language acquisition have been of interest for many centuries, as children seem to acquire a sophisticated capacity for processing language with apparent ease, in the face of ambiguity, noise and uncertainty. However, with recent advances in technology and cognitive-related research it is now possible to conduct large-scale computational investigations of these issues The book discusses some of the latest theoretical and practical developments in the areas involved, including computational models for language tasks, tools and resources that help to approximate the linguistic environment available to children during acquisition, and discussions of challenging aspects of language that children have to master. This is a much-needed collection that provides a cross-section of recent multidisciplinary research on the computational modeling of language acquisition. It is targeted at anyone interested in the relevance of computational techniques for understanding language acquisition. Readers of this book will be introduced to some of the latest approaches to these tasks including: * Models of acquisition of various types of linguistic information (from words to syntax and semantics) and their relevance to research on human language acquisition * Analysis of linguistic and contextual factors that influence acquisition * Resources and tools for investigating these tasks Each chapter is presented in a self-contained manner, providing a detailed description of the relevant aspects related to research on language acquisition, and includes illustrations and tables to complement these in-depth discussions. Though there are no formal prerequisites, some familiarity with the basic concepts of human and computational language acquisition is beneficial.
Book Synopsis Computational approaches to semantic change by : Nina Tahmasebi
Download or read book Computational approaches to semantic change written by Nina Tahmasebi and published by Language Science Press. This book was released on 2021-08-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic change — how the meanings of words change over time — has preoccupied scholars since well before modern linguistics emerged in the late 19th and early 20th century, ushering in a new methodological turn in the study of language change. Compared to changes in sound and grammar, semantic change is the least understood. Ever since, the study of semantic change has progressed steadily, accumulating a vast store of knowledge for over a century, encompassing many languages and language families. Historical linguists also early on realized the potential of computers as research tools, with papers at the very first international conferences in computational linguistics in the 1960s. Such computational studies still tended to be small-scale, method-oriented, and qualitative. However, recent years have witnessed a sea-change in this regard. Big-data empirical quantitative investigations are now coming to the forefront, enabled by enormous advances in storage capability and processing power. Diachronic corpora have grown beyond imagination, defying exploration by traditional manual qualitative methods, and language technology has become increasingly data-driven and semantics-oriented. These developments present a golden opportunity for the empirical study of semantic change over both long and short time spans. A major challenge presently is to integrate the hard-earned knowledge and expertise of traditional historical linguistics with cutting-edge methodology explored primarily in computational linguistics. The idea for the present volume came out of a concrete response to this challenge. The 1st International Workshop on Computational Approaches to Historical Language Change (LChange'19), at ACL 2019, brought together scholars from both fields. This volume offers a survey of this exciting new direction in the study of semantic change, a discussion of the many remaining challenges that we face in pursuing it, and considerably updated and extended versions of a selection of the contributions to the LChange'19 workshop, addressing both more theoretical problems — e.g., discovery of "laws of semantic change" — and practical applications, such as information retrieval in longitudinal text archives.
