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Foundations of Statistical Natural Language Processing

Christopher Manning (Stanford University) Hinrich Schuetze (Uni Stuttgart, Ims)

$300

Hardback

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English
MIT Press
28 May 1999
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.
By:   , ,
Imprint:   MIT Press
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 203mm,  Spine: 22mm
Weight:   1.338kg
ISBN:   9780262133609
ISBN 10:   0262133601
Series:   Foundations of Statistical Natural Language Processing
Pages:   720
Publication Date:  
Recommended Age:   From 18 years
Audience:   College/higher education ,  Professional and scholarly ,  Professional & Vocational ,  A / AS level ,  Further / Higher Education
Format:   Hardback
Publisher's Status:   Active

Reviews for Foundations of Statistical Natural Language Processing

""Statistical natural-language processing is, in my estimation, one ofthe most fast-moving and exciting areas of computer science thesedays. Anyone who wants to learn this field would be well advised toget this book. For that matter, the same goes for anyone who isalready in the field. I know that it is going to be one of the mostwell-thumbed books on my bookshelf."" Eugene Charniak , Department of Computer Science, Brown University


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