Non-Fiction Books:

Child Language

The Parametric Approach
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Paperback / softback
$138.99
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Description

This is a systematic presentation of the parametric approach to child language. Linguistic theory seeks to specify the range of grammars permitted by the human language faculty and thereby to specify the child's "hypothesis space" during language acquisition. Theories of language variation have central implications for the study of child language, and vice versa. Yet the acquisitional predictions of such theories are seldom tested against attested data. This book aims to redress this neglect. It considers the nature of the information the child must acquire according to the various linguistic theories. In doing so it sets out in detail the practical aspects of acquisitional research, addresses the challenges of working with children of different ages, and shows how the resulting data can be used to test theories of grammatical variation. Particular topics examined in depth include the acquisition of syllable structure, empty categories, and wh-movement. The data sets on which the book draws are freely available to students and researchers via a website maintained by the author. The book is written for scholars and students of child language acquisition in linguistics, psychology, and cognitive science. It will be a valuable reference for researchers in child language acquisition in all fields.

Author Biography:

William Snyder is Associate Professor of Linguistics, University of Connecticut, where he is also affiliated to the Department of Psychology. His interests are language acquisition, comparative morphology and syntax, and the syntax-semantics interface. His 1995 MIT PhD was Language Acquisition and Language Variation: The Role of Morphology. He is co-editor of the journal Language Acquisition.
Release date Australia
June 21st, 2007
Audiences
  • Postgraduate, Research & Scholarly
  • Undergraduate
Illustrations
tree diagrams, graphs, tables
Pages
224
Dimensions
170x244x14
ISBN-13
9780199296705
Product ID
1972206

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