Cognitive Aspects of Computational Language Acquisition
Cognitive Aspects of Computational Language Acquisition

Author: Aline Villavicencio

Publisher: Springer Science & Business Media

Published: 2013-01-11

Total Pages: 326

ISBN-13: 3642318630

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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.

Language, Cognition, and Computational Models
Language, Cognition, and Computational Models

Author: Thierry Poibeau

Publisher: Cambridge University Press

Published: 2018-01-25

Total Pages: 351

ISBN-13: 110850678X

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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.

Ambiguity Resolution in Language Learning
Ambiguity Resolution in Language Learning

Author: Hinrich Schütze

Publisher: Center for the Study of Language and Information Publications

Published: 1997-05-13

Total Pages: 230

ISBN-13: 9781575860749

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This volume is concerned with how ambiguity and ambiguity resolution are learned, that is, with the acquisition of the different representations of ambiguous linguistic forms and the knowledge necessary for selecting among them in context. Schütze concentrates on how the acquisition of ambiguity is possible in principle and demonstrates that particular types of algorithms and learning architectures (such as unsupervised clustering and neural networks) can succeed at the task. Three types of lexical ambiguity are treated: ambiguity in syntactic categorisation, semantic categorisation, and verbal subcategorisation. The volume presents three different models of ambiguity acquisition: Tag Space, Word Space, and Subcat Learner, and addresses the importance of ambiguity in linguistic representation and its relevance for linguistic innateness.

Computational Cognitive Modeling and Linguistic Theory
Computational Cognitive Modeling and Linguistic Theory

Author: Adrian Brasoveanu

Publisher: Springer Nature

Published: 2020-01-01

Total Pages: 299

ISBN-13: 303031846X

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This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson's ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth) .

Language Acquisition Across Linguistic and Cognitive Systems
Language Acquisition Across Linguistic and Cognitive Systems

Author: Michèle Kail

Publisher: John Benjamins Publishing

Published: 2010

Total Pages: 341

ISBN-13: 9027253145

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How and why do all children learn language? Why do some have difficulties while others are early language learners? What are the consequences of early bilingualism? Is it possible to reach native-like competence in a foreign language? Although we still cannot fully answer these questions, research during the last two decades has begun to solve some pieces of the puzzle. This book proposes an interdisciplinary collection of writings from some of the best specialists across several fields in cognitive science, offering a wide sample of recent advances in the study of first language acquisition, bilingualism, second language acquisition, and disorders of oral language. It is addressed to all researchers and students interested in language acquisition, as well as to teachers, clinicians and parents, who will find therein many new findings and varied methodological approaches, as well as challenging questions that are still debated and in need of further research.

Current Perspectives on Child Language Acquisition
Current Perspectives on Child Language Acquisition

Author: Caroline F. Rowland

Publisher: John Benjamins Publishing Company

Published: 2020-09-15

Total Pages: 342

ISBN-13: 9027261008

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In recent years the field has seen an increasing realisation that the full complexity of language acquisition demands theories that (a) explain how children integrate information from multiple sources in the environment, (b) build linguistic representations at a number of different levels, and (c) learn how to combine these representations in order to communicate effectively. These new findings have stimulated new theoretical perspectives that are more centered on explaining learning as a complex dynamic interaction between the child and her environment. This book is the first attempt to bring some of these new perspectives together in one place. It is a collection of essays written by a group of researchers who all take an approach centered on child-environment interaction, and all of whom have been influenced by the work of Elena Lieven, to whom this collection is dedicated.

Three Streams of Generative Language Acquisition Research
Three Streams of Generative Language Acquisition Research

Author: Tania Ionin

Publisher: John Benjamins Publishing Company

Published: 2019-04-15

Total Pages: 366

ISBN-13: 9027262888

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This edited volume contains a representative sample of papers presented at the 7th meeting of the Generative Approaches to Language Acquisition – North America (GALANA-7) conference. The book features three streams of research (Variation in Input, First Language Acquisition, and Second Language Acquisition), each of which investigates the nature of language acquisition from the generative perspective. A unique feature of the GALANA-7 conference, and of this volume, is the bringing together of research on generative language acquisition and research on the role that cross-dialectal input variation plays in acquisition. This volume should be of interest to scholars and students of first language acquisition, second language acquisition, and input variation.

The Handbook of Computational Linguistics and Natural Language Processing
The Handbook of Computational Linguistics and Natural Language Processing

Author: Alexander Clark

Publisher: John Wiley & Sons

Published: 2013-04-24

Total Pages: 802

ISBN-13: 1118448677

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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

The Routledge Handbook of Second Language Acquisition and Writing
The Routledge Handbook of Second Language Acquisition and Writing

Author: Rosa M. Manchón

Publisher: Routledge

Published: 2021-12-30

Total Pages: 564

ISBN-13: 0429576412

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This unique state-of-the-art volume offers a comprehensive, systematic discussion of second language (L2) writing and L2 learning. Led by experts Rosa Manchón and Charlene Polio, top international scholars synthesize and contextualize the salient theoretical approaches, methodological issues, empirical findings, and emerging themes in the connection between L2 writing and L2 learning, and set the future research agenda to move the field forward. This will be an indispensable resource for scholars and students of second language acquisition (SLA), applied linguistics, education, and composition studies.

The Oxford Handbook of Computational Linguistics
The Oxford Handbook of Computational Linguistics

Author: Ruslan Mitkov

Publisher: Oxford University Press

Published: 2022-06-02

Total Pages: 1377

ISBN-13: 019162554X

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Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.