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.
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About the Author
Michael R. Brent is Associate Professor of Cognitive Science at Johns Hopkins University.
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The role of computational methods in the study of human language acquisition, especially their relationship to behavioral methods and the theories associated with them, has been a vexed and difficult issue. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Journal of Child Language, New York, Child Development, Computational Linguistics, Kemler Nelson, Cognitive Psychology, Harvard University Press, Big Bird, Cambridge University Press, University of Pennsylvania, Verb Second, Cookie Monster, Elsevier Science, Massachusetts Institute of Technology, Zipf's Law, Lila Gleitman, University of Chicago Press, Anne Lederer, Boston University Conference, Jeff Siskind, Johns Hopkins University, Michael Brent New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The role of computational methods in the study of human language acquisition, especially their relationship to behavioral methods and the theories associated with them, has been a vexed and difficult issue. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Journal of Child Language, New York, Child Development, Computational Linguistics, Kemler Nelson, Cognitive Psychology, Harvard University Press, Big Bird, Cambridge University Press, University of Pennsylvania, Verb Second, Cookie Monster, Elsevier Science, Massachusetts Institute of Technology, Zipf's Law, Lila Gleitman, University of Chicago Press, Anne Lederer, Boston University Conference, Jeff Siskind, Johns Hopkins University, Michael Brent New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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This book cites 32
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- Language Acquisition (Blackwell/Maryland Lectures in Language and Cognition) by Lila Gleitman on 4 pages
- Connections and Symbols (Cognition Special Issue) by Steven Pinker in Front Matter, and page 38
- Child Psychology by Ross Vasta on page 38, and page 158
- Child Development by A.Christine Harris on page 124
- Cognitive Science (3 Volume Set) (International Library of Critical Writings in Psychology) by Noel Sheehy on page 87
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- Future Directions for Intelligent Systems and Information Sciences: The Future of Speech and Image Technologies, Brain Computers, WWW, and Bioinformatics (Studies in Fuzziness and Soft Computing) by Nikola Kasabov on page 123
- Bilingual Selection of Syntactic Knowledge: Extending the Principles and Parameters Approach by Teresa Satterfield in Back Matter
- Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines (Perspectives in Neural Computing) by Nikola Kasabov in Back Matter
- Similarity and Symbols in Human Thinking (Cognition Special Issue) by Steven A Sloman in Front Matter
- Syntactic Effects of Morphological Change (Oxford linguistics) by David W. Lightfoot in Back Matter
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