Foundations of Statistical Natural Language Processing

Hardcover | May 28, 1999

byChristopher Manning, Hinrich Schuetze

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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.

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From Our Editors

In recent years, statistical approaches to processing natural language text have become central in the field. Foundations of Statistical Natural Language Processing is the first comprehensive introduction of this subject to be published. It contains the theory and algorithms necessary in building NLP tools. It also covers collocation f...

From the Publisher

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 coverag...

Format:HardcoverDimensions:720 pages, 9 × 8 × 0.88 inPublished:May 28, 1999Publisher:The MIT PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0262133601

ISBN - 13:9780262133609

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From Our Editors

In recent years, statistical approaches to processing natural language text have become central in the field. Foundations of Statistical Natural Language Processing is the first comprehensive introduction of this subject to be published. It contains the theory and algorithms necessary in building NLP tools. It also covers collocation finding, word sense disambiguation, probabilistic parsing and information retrieval.

Editorial 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.