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Foundations of Statistical Natural Language Processing Hardcover – May 28 1999


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Product Details

  • Hardcover: 720 pages
  • Publisher: The MIT Press; 1 edition (May 28 1999)
  • Language: English
  • ISBN-10: 0262133601
  • ISBN-13: 978-0262133609
  • Product Dimensions: 24 x 20 x 3 cm
  • Shipping Weight: 1.3 Kg
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Bestsellers Rank: #210,188 in Books (See Top 100 in Books)


Inside This Book (Learn More)
First Sentence
THE AIM of a linguistic science is to be able to characterize and explain the multitude of linguistic observations circling around us, in conversations, writing, and other media. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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1 of 1 people found the following review helpful By William McNeill on Nov. 15 2002
Format: Hardcover
If you can only own one book about statistical NLP, and the choice is down to this one or Jurafsky and Martin, choose this one. The mathematics is little more rigorous, but by no means daunting, and the exposition is clearer than J&M.
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By A Customer on Sept. 15 2003
Format: Hardcover
this is an import pre-req to any research/inquiry into this field.
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By Emmanuel Lambert on Aug. 22 2002
Format: Hardcover
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.
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Format: Hardcover
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 an idea on what to expect, instead of attacking 200 problems on 2 pages each, it 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: you problem is likely to be mentioned there but it's quite unlikely to be detailed enough for your need.
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, but read the TOC before you buy it!
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Format: Hardcover
I was likely spoiled by some great course notes (courtesy of Jan Hajic). So when I found Manning and Schutze to be of little help, it was likely because it was too much of an introduction and didn't have the full discussions that I needed. Yet, later on I found that the text by Jurafsky and Martin succeeded in ways Manning and Schutze failed. Therefore, any individual interested in getting a good (and full) introduction to NLP should perhaps look at the Jurafsky and Martin, along with Manning and Schutze. But the breadth of Manning and Schutze and its place as a standard warrants at least 4 out of 5 stars (its not a terrible or mediocore book)
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