by Christopher Manning (Author), Hinrich Schütze (Author)
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.
Format: Hardcover
Pages: 620
Edition: fourth prnting 2001
Publisher: MIT Press
Published: 30 Jul 1999
ISBN 10: 0262133601
ISBN 13: 9780262133609
Book Overview: 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