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Foundations Of Statistical Natural Language Processing Hardcover

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Author 1
Christopher D. Manning
Book Description
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.
ISBN-10
262133601
ISBN-13
9780262133609
Language
English
Publisher
MIT Press Ltd
Publication Date
30 Mar 2001
Number of Pages
720
Author 2
Hinrich Schutze
Editorial Review
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