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Foundations of Statistical Natural Language Processing

Foundations of Statistical Natural Language Processing

Foundations of Statistical Natural Language Processing
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Foundations of Statistical Natural Language Processing Hardback - 1999 - 1st Edition

by Manning, Christopher, Schutze, Hinrich

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MIT Press. Used - Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Details

  • Title Foundations of Statistical Natural Language Processing
  • Author Manning, Christopher, Schutze, Hinrich
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used - Very good
  • Pages 720
  • Volumes 1
  • Language ENG
  • Publisher MIT Press, Cumberland, Rhode Island, U.S.A.
  • Publication date 1999-06
  • Illustrated Yes
  • Bookseller's Inventory # 11077044-6
  • ISBN 9780262133609 / 0262133601
  • Weight 2.98 lbs (1.35 kg)
  • Dimensions 9.46 x 8.04 x 1.25 in (24.03 x 20.42 x 3.18 cm)
  • Age range 18 to UP years
  • Grade levels 13 - UP
  • Category Language Arts / Linguistics / Literacy
  • Library of Congress subjects Computational linguistics - Statistical
  • Library of Congress Catalogue Number 99021137
  • Dewey Decimal Code 410.285
  • Quantity available 1

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Reader reviews for Foundations of Statistical Natural Language Processing

From the publisher

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.
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