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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Christopher D Manning
Άλλοι συγγραφείς: Hinrich Schütze
Μορφή: Printed Book
Έκδοση: Cambridge, Mass MIT Press 1999
Θέματα:
Computational linguistics > Statistical methods. Linguistique informatique > Méthodes statistiques. Statistische methoden.
Πίνακας περιεχομένων:
  • 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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