Foundations of Statistical Natural Language Processing | 
| Authors: Christopher D. Manning, Hinrich Schuetze
Publisher: The MIT Press
Category: Book
List Price: $82.00
Buy New: $60.01
You Save: $21.99 (27%)
New (18) Used (10) from $51.98
Avg. Customer Rating:  11 reviews
Sales Rank: 88913
Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 620
Shipping Weight (lbs): 2.2
Dimensions (in): 9.1 x 8 x 1.2
ISBN: 0262133601
Dewey Decimal Number: 410.285
EAN: 9780262133609
ASIN: 0262133601
Publication Date: June 18, 1999
Availability: Usually ships in 1-2 business days
Shipping: International shipping available
Condition: Brand new item. Over 3.5 million customers served. Order now. Selling online since 1995. Few left in stock - order soon. Code: M20080723001136T
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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.
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| Customer Reviews: Read 6 more reviews...
 Good book for people interested in Natural Language Processing. September 15, 2007
2 out of 2 found this review helpful
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 delivery July 4, 2005
2 out of 49 found this review helpful
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 read September 15, 2003
3 out of 33 found this review helpful
this is an import pre-req to any research/inquiry into this field.
 Very technical August 22, 2002
14 out of 36 found this review helpful
Only buy this book if you want a very technical book about this subject. I bought this book because I was generally interested in this research field... and I never read it. If you are a researcher or a student studying this field, then this might be a good book. Otherwise, there are books that you will probably enjoy more.
Self-contained and instructive, read the TOC first! May 26, 2002
41 out of 43 found this review helpful
Compared to the slightly overrated Jurafsky and Martin's classic, this book aims less targets but hits them all more precisely, completely and satisfactory for the reader. That is, just to give you an idea on what to expect, instead of attacking 200 problems on 2 pages each, this book attacks only 40 problems on 10 pages each.
So, read the TOC before you buy the book: if you find your topics there, you're done, you are saved, buy it and be happy. In contrast, you can buy Jurafsky's book without caring to read the TOC: your problem is likely to be mentioned there but it's quite unlikely to be detailed enough to satisfy you.
Some introductory chapters take too much space and some advanced topics are missing. But the book is actually named "Foundations of..." so it seems to deliver precisely what it promisses, which is a precious and rare accomplishment by itself. I recommend this book.
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