Foundations of Statistical Natural Language Processing
- Book Review,
by Christopher D. Manning, Hinrich Schtze
Book Description
"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 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. More on this book
Book Info
Comprehensive introduction to statistical natural language processing (NLP). Provides broad but rigorous coverage of mathematical and linguistic foundations, with a detailed discussion of statistical methods. DLC: Computational linguistics--Statistical methods.
About the Author
Christopher D. Manning is Assistant Professor in the Department of Computer Science at Stanford University. Hinrich Schütze is on the Research Staff at the Xerox Palo Alto Research Center.
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