An edition of Foundations of statistical natural language processing (1999)

Foundations of statistical natural language processing

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Cover of: Foundations of statistical natural language processing by Christopher D. Manning, Hinrich Schütze, Christopher D. Manning
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Last edited by MARC Bot
September 23, 2024 | History
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An edition of Foundations of statistical natural language processing (1999)

Foundations of statistical natural language processing

by and

  • 1 Want to read

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. - Source

Publish Date
Publisher
MIT Press, The MIT Press
Language
English
Pages
680

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Previews available in: English

Subjects

Natural Language Processing, Natural Language Processing (Computer Science), Statistical methods, Computational linguistics, open_syllabus_project, Computational linguistics--statistical methods, Linguistics--methods, Statistics as topic, Computer-assisted instruction, P98.5.s83 m36 2003, 410/.285

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Edition Availability
Cover of: Foundations of Statistical Natural Language Processing
Foundations of Statistical Natural Language Processing
2016, CreateSpace Independent Publishing Platform
in English
Libraries near you: WorldCat
Cover of: Foundations of statistical natural language processing
Foundations of statistical natural language processing
1999, MIT Press, The MIT Press
in English
  • Not in Library
Libraries near you: WorldCat

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Book Details

Table of Contents

1. Introduction
2. Mathematical Foundations
3. Linguistic Essentials
4. Corpus-Based Work
5. Collocations
6. Statistical Inference: n-gram Models over Sparse Data
7. Word Sense Disambiguation
8. Lexical Acquisition
9. Markov Models
10. Part-of-Speech Tagging
11. Probabilistic Context Free Grammars
12. Probabilistic Parsing
13. Statistical Alignment and Machine Translation
14. Clustering
15. Topics in Information Retrieval
16. Text Categorization

Edition Notes

Includes bibliographical references (p. 611-655) and index.

Published in
Cambridge, Mass

Classifications

Dewey Decimal Class
410/.285
Library of Congress
P98.5.S83 M36 1999, P98.5.S83M36 1999, P98.5.S83 M36 2003

The Physical Object

Pagination
xxxvii, 680 p. ;
Number of pages
680

ID Numbers

Open Library
OL35843M
Internet Archive
foundationsstati00mann_042
ISBN 10
0262133601
LCCN
99021137
OCLC/WorldCat
40848647, 53299892
Library Thing
124093
Wikidata
Q115664565
Goodreads
776349

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
September 23, 2024 Edited by MARC Bot import existing book
July 17, 2024 Edited by MARC Bot import existing book
January 3, 2024 Edited by Quarticle Add subjects
December 19, 2023 Edited by ImportBot import existing book
April 1, 2008 Created by an anonymous user Imported from Scriblio MARC record