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Natural Language Understanding, 2nd edition

Published by Pearson (August 3rd 1994) - Copyright © 1995

2nd edition

Natural Language Understanding

ISBN-13: 9780805303346

Includes: Paperback
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$63.99 $79.99

What's included

  • Paperback

    You'll get a bound printed text.


This long-awaited revision offers a comprehensive introduction to natural language understanding with developments and research in the field today. Building on the effective framework of the first edition, the new edition gives the same balanced coverage of syntax, semantics, and discourse, and offers a uniform framework based on feature-based context-free grammars and chart parsers used for syntactic and semantic processing. Thorough treatment of issues in discourse and context-dependent interpretation is also provided.

In addition, this title offers coverage of two entirely new subject areas. First, the text features a new chapter on statistically-based methods using large corpora. Second, it includes an appendix on speech recognition and spoken language understanding. Also, the information on semantics that was covered in the first edition has been largely expanded in this edition to include an emphasis on compositional interpretation.


Table of contents

1. Introduction to Natural Language Understanding.

The Study of Language.

Applications of Natural Language Understanding.

Evaluating Language Understanding Systems.

The Different Levels of Language Analysis.

Representations and Understanding.

The Organization of Natural Language Understanding Systems.

2. Linguistic Background: An Outline of English Syntax.


The Elements of Simple Noun Phrases.

Verb Phrases and Simple Sentences.

Noun Phrases Revisited.

Adjective Phrases.

Adverbial Phrases.

3. Grammars and Parsing.

Grammars and Sentence Structure.

What Makes a Good Grammar.

A Top-Down Parser.

A Bottom-Up Chart Parser.

Top-Down Chart Parsing.

Finite State Models and Morphological Processing.

Grammars and Logic Programming.

4. Features and Augmented Grammars.

Feature Systems and Augmented Grammars.

Some Basic Feature Systems for English.

Morphological Analysis and the Lexicon.

A Simple Grammar Using Features.

Parsing with Features.

Augmented Transition Networks.

Definite Clause Grammars.

Generalized Feature Systems and Unification Grammars.

5. Grammars for Natural Language.

Auxiliary Verbs and Verb Phrases.

Movement Phenomena in Language.

Handling Questions in Context-Free Grammars.

Noun Phrases and Relative Clauses.

The Hold Mechanism in ATN.

Gap Threading.

6. Toward Efficient Parsing.

Human Preferences in Parsing.

Encoding Uncertainty: Shift-Reduce Parsers.

A Deterministic Parser.

Techniques for Efficient Encoding of Ambiguity.

Partial Parsing.

7. Ambiguity Resolution: Statistical Methods.

Basic Probability Theory.

Estimating Probabilities.

Part-of-Speech Tagging.

Obtaining Lexical Probabilities.

Probabilistic Context-Free Grammars.

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