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Hardcover | $90.00 Text | £62.95 | ISBN: 9780262133609 | 720 pp. | 8 x 9 in | May 1999
 

Essential Info

  • Index
  • Preface
  • Sample Chapter
  • Supplemental Material Website

Instructor Resources

Foundations of Statistical Natural Language Processing

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.

Endorsements

"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