Computational Approaches to Language Acquisition

This book PDF is perfect for those who love Computers genre, written by Michael R. Brent and published by MIT Press which was released on 20 May 1997 with total hardcover pages 216. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Computational Approaches to Language Acquisition books below.

Computational Approaches to Language Acquisition
Computational Approaches to Language Acquisition
Author : Michael R. Brent
File Size : 54,9 Mb
Publisher : MIT Press
Language : English
Release Date : 20 May 1997
ISBN : 0262522292
Pages : 216 pages
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Computational Approaches to Language Acquisition by Michael R. Brent Book PDF Summary

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.

Computational Approaches to Language Acquisition

Computational Approaches to Language Acquisition by Michael R. Brent

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,

Get Book
Computational Modeling of Human Language Acquisition

Computational Modeling of Human Language Acquisition by Afra Alishahi

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

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Experimental Corpus based and Computational Approaches to Language Learning

Experimental Corpus based and Computational Approaches to Language Learning by Patrick Rebuschat,Detmar Meurers,Tony McEnery

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

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A Computational Model Of First Language Acquisition

A Computational Model Of First Language Acquisition by Nobuo Satake

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.

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Computational and Corpus Approaches to Chinese Language Learning

Computational and Corpus Approaches to Chinese Language Learning by Xiaofei Lu,Berlin Chen

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

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Cognitive Aspects of Computational Language Acquisition by Aline Villavicencio,Thierry Poibeau,Anna Korhonen,Afra Alishahi

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

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Handbook of Generative Approaches to Language Acquisition

Handbook of Generative Approaches to Language Acquisition by Jill de Villiers,Tom Roeper

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

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Language Cognition and Computational Models

Language Cognition and Computational Models by Thierry Poibeau,Aline Villavicencio

This book uses recent computational models to explore issues related to language and cognition.

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