Computational Approaches to Language Acquisition PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Computational Approaches to Language Acquisition PDF full book. Access full book title Computational Approaches to Language Acquisition by Michael R. Brent. Download full books in PDF and EPUB format.
Author: Michael R. Brent
Publisher: MIT Press
ISBN: 9780262522298
Category : Computers
Languages : en
Pages : 216
Get Book
Book Description
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.
Author: Michael R. Brent
Publisher: MIT Press
ISBN: 9780262522298
Category : Computers
Languages : en
Pages : 216
Get Book
Book Description
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.
Author: Afra Alishahi
Publisher: Springer Nature
ISBN: 3031021401
Category : Computers
Languages : en
Pages : 94
Get Book
Book Description
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
Author: Xiaofei Lu
Publisher: Springer
ISBN: 9811335702
Category : Education
Languages : en
Pages : 268
Get Book
Book Description
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.
Author: Patrick Rebuschat
Publisher: Wiley-Blackwell
ISBN: 9781119432616
Category : Language Arts & Disciplines
Languages : en
Pages : 0
Get Book
Book Description
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
Author: Nobuo Satake
Publisher: World Scientific
ISBN: 9814507040
Category : Computers
Languages : en
Pages : 211
Get Book
Book Description
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.
Author:
Publisher: Information Science Reference
ISBN: 9781466660427
Category : Computational linguistics
Languages : en
Pages : 0
Get Book
Book Description
In a globalized society, effective communication is critical, and study of language from a mathematical perspective can shed light on new ways in which to express meaning across cultures and nations. Computational Linguistics: Concepts, Methodologies, Tools, and Applications explores language by dissecting the phonemic aspects of various communication systems in order to identify similarities and pitfalls in the expression of meaning. With applications in a variety of areas, from psycholinguistics and cognitive science to computer science and artificial intelligence, this multivolume reference work will be of use to researchers, professionals, and educators on the cutting edge of language acquisition and communication science.
Author: Aline Villavicencio
Publisher: Springer
ISBN: 9783642318627
Category : Computers
Languages : en
Pages : 320
Get Book
Book Description
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.
Author: Jill de Villiers
Publisher: Springer Science & Business Media
ISBN: 9789400716889
Category : Language Arts & Disciplines
Languages : en
Pages : 404
Get Book
Book Description
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.
Author: Thierry Poibeau
Publisher: Cambridge University Press
ISBN: 110850678X
Category : Computers
Languages : en
Pages : 351
Get Book
Book Description
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.
Author: Susan Foster-Cohen
Publisher: Springer
ISBN: 023024078X
Category : Education
Languages : en
Pages : 338
Get Book
Book Description
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.
