Overview

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.

Full Product Details

Author:   Christopher Manning (Stanford University) ,  Hinrich Schuetze (Uni Stuttgart, Ims)
Publisher:   MIT Press Ltd
Imprint:   MIT Press
Dimensions:   Width: 20.30cm , Height: 2.20cm , Length: 22.90cm
Weight:   1.338kg
ISBN:  

9780262133609

ISBN 10:   0262133601
Pages:   720
Publication Date:   28 May 1999
Recommended Age:   From 18 years
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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Reviews

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 it is going to be one of the most well-thumbed books on my bookshelf. --Eugene Charniak, Department of Computer Science, Brown University

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