Principle-based Parsing

Principle-based Parsing : Computation and Psycholinguistics

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Description

The paperback edition of one of the first books to appear on a new approach to natural language analysis - principle-based parsing. Based on a series of seminars given by the contributors at MIT and grounded in the recent developments in linguistic theory developed at MIT and elsewhere, this volume shows how the large rule-based and language-specific systems that have dominated the conventional computational approach to language may be replaced by a handful of interacting, language-universal principles. The book covers all areas of natural language from this new perspective: parsing, language acquisition, language variation, machine translation, and psycholinguistics. Each of the chapters focuses on one or more of these areas, presenting implemented and tested computer or psychological models. The introduction by Berwick surveys the field from a unified vantage point, explaining in a readily-accessible way the strengths and weaknesses of this rapidly-developing new approach to natural language analysis.
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Product details

  • Paperback | 418 pages
  • United States
  • English
  • New edition
  • New edition
  • indices
  • 0792316371
  • 9780792316374

Table of contents

Principles of principle-based parsing, R.C. Berwick; deductive parsing - the use of knowledge of language, M. Johnson; the computational implementation of principle-based parsers, S. Fong; empty categories, chain binding, and parsing, N. Correa; parsing Warlpiri - a free word order language, M.B. Kashket; principle-based parsing for machine translation, B.J. Dorr; principle-based interpretation of natural language quantifiers, S.S. Epstein; avoid the pedestrian's paradox, E.P. Stabler Jr; parsing with changing grammars - evaluating a language acquisition model, R. Kazman; parsing by chunks, S.P. Abney; subcategorization and sentence processing, P. Gorrell; subjacency in a principle-based parser, B.L. Pritchett; locating Wh traces, H.S. Kurtzman et al.
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