Foundations of Statistical Natural Language Processing

Statistical natural-language processing is, in my estimation, one of the most fast-moving and exciting areas of computer science these days. Anyone who wants to learn this field would be well advised to get this book. For that matter, the same goes for anyone who is already in the field. I know that...

詳細記述

書誌詳細
第一著者: Christopher D Manning
その他の著者: Hinrich Schütze
フォーマット: Printed Book
出版事項: Cambridge, Mass MIT Press 1999
主題:
Computational linguistics > Statistical methods. Linguistique informatique > Méthodes statistiques. Statistische methoden.
目次:
  • List of Tables
  • List of Figures
  • Table of Notations
  • Preface
  • Road Map
  • I. Preliminaries
  • 1. Introduction
  • 2. Mathematical Foundations
  • 3. Linguistics Essentials
  • 4. Corpus-Based Work
  • II. Words
  • 5. Collocations
  • 6. Statistical Inference: n-gram Models over Sparse Data
  • 7. Word Sense Disambiguation
  • 8. Lexical Acquisition
  • III. Grammar
  • 9. Markov Models
  • 10. Part-of-Speech Tagging
  • 11. Probabilistic Context Free Grammars
  • 12. Probabilistic Parsing
  • IV. Applications and Techniques
  • 13. Statistical Alignment and Machine Translation
  • 14. Clustering
  • 15. Topics in Information Retrieval
  • 16. Text Categorization
  • Tiny Statistical Tables
  • Bibliography
  • Index.

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