Product Details
Foundations of Statistical Natural Language Processing

Foundations of Statistical Natural Language Processing
By Christopher D. Manning, Hinrich Schuetze

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Product Description

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

  • Amazon Sales Rank: #221469 in Books
  • Published on: 1999-06-18
  • Original language: English
  • Number of items: 1
  • Binding: Hardcover
  • 620 pages

Editorial Reviews

Review
"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

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.


Customer Reviews

Good book for people interested in Natural Language Processing.4
This is a good book for people who are interested in computational linguists, machine
learning experts who are looking for new application domains and in general for someone who wants an introduction to statistical computational linguistics.

The book is self contained and very well written. It treats most of the general statistical approaches to language processing such as language models, smoothing, etc.. in an excellent, but introductory manner. The book is a good start for any one looking to enter statistical nlp, however for advanced readers who would like to see the cutting edge of statistical computational linguistics they should look somewhere else.

fastest delivery5
I have never received anything so quick buying off the internet. Few days and I had the book in my hand. I was pleasantly surprised.

very definitive, really a must read5
this is an import pre-req to any research/inquiry into this field.