Statistical Language Learning / Edition 1

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Overview

Eugene Charniak breaks new ground in artificial intelligenceresearch by presenting statistical language processing from an artificial intelligence point of view in a text for researchers and scientists with a traditional computer science background.New, exacting empirical methods are needed to break the deadlock in such areas of artificial intelligence as robotics, knowledge representation, machine learning, machine translation, and natural language processing (NLP). It is time,Charniak observes, to switch paradigms. This text introduces statistical language processing techniques ;word tagging, parsing with probabilistic context free grammars, grammar induction, syntactic disambiguation, semantic wordclasses,word-sense disambiguation ;along with the underlying mathematics and chapter exercises.Charniak points out that as a method of attacking NLP problems, the statistical approach has several advantages. It is grounded in real text and therefore promises to produce usable results, and it offers an obvious way to approach learning: "one simply gathers statistics."Language, Speech, and Communication

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Editorial Reviews

Booknews
Charniak (computer science, Brown U.) presents statistical language processing from an artificial intelligence point of view in a text for researchers and scientists with a traditional computer science background. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780262531412
  • Publisher: MIT Press
  • Publication date: 8/26/1996
  • Series: Language, Speech, and Communication
  • Edition description: Reprint
  • Edition number: 1
  • Pages: 190
  • Product dimensions: 5.90 (w) x 8.80 (h) x 0.40 (d)

Table of Contents

List of Figures
Preface
1 The Standard Model 1
2 Statistical Models and the Entropy of English 21
3 Hidden Markov Models and Two Applications 39
4 Algorithms for Hidden Markov Models 53
5 Probabilistic Context-Free Grammars 75
6 The Mathematics of PCFGs 87
7 Learning Probabilistic Grammars 103
8 Syntactic Disambiguation 119
9 Word Classes and Meaning 135
10 Word Senses and Their Disambiguation 147
Bibliography 163
Glossary 165
Index 167
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