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Foundations of statistical natural language processing
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Foundations of statistical natural language processing

Author: Christopher D Manning; Hinrich Schütze
Publisher: Cambridge, Mass. : MIT Press, ©1999.
Edition/Format:   Book : EnglishView all editions and formats
Summary:
"Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of  Read more...
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Details

Genre/Form: Statistical methods
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Christopher D Manning; Hinrich Schütze
ISBN: 0262133601 9780262133609
OCLC Number: 40848647
Description: xxxvii, 680 p. ; 24 cm.
Contents: 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.
Responsibility: Christopher D. Manning, Hinrich Schütze.

Abstract:

"Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications. Book jacket."--BOOK JACKET.

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