Foundations of Statistical Natural Language Processing / Edition 1

by Christopher Manning, Hinrich Schutze

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.

Product Details

ISBN-13:	9780262133609
Publisher:	MIT Press
Publication date:	05/28/1999
Series:	The MIT Press
Edition description:	New Edition
Pages:	720
Product dimensions:	8.25(w) x 9.31(h) x 1.19(d)
Age Range:	18 Years

What People are Saying About This

Endorsement

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

From the Publisher

"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

Eugene Charniak

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.