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Daniel Jurafsky and James Martin have assembled an incredible mass of information about natural language processing. The authors note that speech and language processing have largely non-overlapping histories that have relatively recently began to grow together. They have written this book to meet the need for a well-integrated discussion, historical and technical, of both fields.

In twenty-five chapters, the book covers the breadth of computational linguistics with an overall logical organization. Five chapter groupings organize material on Words, Speech, Syntax, Semantics and Pragmatics, and Applications. The four Applications chapters address Information Extraction, Question Answering and Summarization, Dialogue and Conversational Agents, and Machine Translation. The book covers a lot of ground, and a fifty-page bibliography directs readers to vast expanses beyond the book's horizon. The aging content problem present in all such books is addressed through the book's web site and numerous links to other sites, tools, and demonstrations. There is a lot of stuff.

While it is an achievement to assemble such a collection of relevant information, the book could be more useful than it is. An experienced editor could rearrange content into a more readable flow of information and increase the clarity of some of the authors' examples and explanations. As is, the book is a useful reference for researchers and practitioners already working in the field. A more clear presentation would lower the experience requirement and make its store of information available to students and non-specialists as well.

Readers looking for an introduction to natural language processing might find Manning and Schütze's Foundations of Statistical Natural Language Processing, easier to understand. It is over ten years old, but worth reading for an understanding of basic concepts that are still relevant in the field.
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on 16 April 2013
A complete and reasonably detailed description of the field.
I recommend it to anyone who wish to get a good, overall knowledge of NLP,
and to anyone who would like to design a teaching curriculum about it.
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TOP 500 REVIEWERon 13 April 2014
Anyone considering buying this will probably know about it already but just in case, here is some comment. It is extremely comprehensive. It assumes no knowledge of the subject. However, it assumes you are happy to plough through detailed descriptions of algorithms and up to about half a page at a time of equations with lots of sigma signs and conditional probabilities. If you are not comfortable with that, don't get it: It is well explained but dense - and long.
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on 4 May 2014
this is a great book which touches on NLP and its related fields. It is readable and does a great job at explaining many topics related to speech and language processing.
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on 13 June 2011
The book covers the main concepts and algorithms required for modern text processing very clearly. Complex problems are split , so it is easier to learn, and the statistics is understandable for people with limited mathematical knowledge.
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on 30 November 2015
There are many books about NLP (and speech processing), but I really enjoy this one.
It's easy to understand and it has plenty of exercises that are very useful for hands on experience.
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on 5 March 2016
Nothing to complain about
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on 2 January 2010
In Natural Language processing/Computational Linguistics, this book is the best. It covers extensively most of the topics ...
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on 27 January 2011
I'm very satisfied with their service. The book is delivered by FedEx even though I only ordered standard delivery, and it only took 3 days to arrive, which is almost the same time a first class delivery would take. Thank you very much.
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