- Hardcover: 620 pages
- Publisher: The MIT Press; 1 edition (June 18, 1999)
- Language: English
- ISBN-10: 0262133601
- ISBN-13: 978-0262133609
- Product Dimensions: 8 x 0.9 x 9 inches
- Shipping Weight: 3 pounds (View shipping rates and policies)
- Average Customer Review: 28 customer reviews
- Amazon Best Sellers Rank: #203,719 in Books (See Top 100 in Books)
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Foundations of Statistical Natural Language Processing 1st Edition
Use the Amazon App to scan ISBNs and compare prices.
Frequently bought together
Customers who bought this item also bought
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.
Top customer reviews
The clarity of the exposition makes the theory appear very simple and easy to apply.
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.
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.
Most recent customer reviews
It covers all important introductory NLP topics (though no advanced topics) as suitable for a "foundations"...Read more