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Speech and Language Processing, 2nd Edition 2nd Edition

by Daniel Jurafsky (Author), James Martin (Author)
4.4 4.4 out of 5 stars 61 ratings
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For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing.

An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and with all modern technologies – this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.

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  1. ISBN-10
    9780131873216
  2. ISBN-13
    978-0131873216
  3. Edition
    2nd
  4. Publisher
    Prentice Hall
  5. Publication date
    May 16, 2008
  6. Language
    English
  7. Dimensions
    7 x 1.5 x 9.3 inches
  8. Print length
    1024 pages
  9. See all details
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Editorial Reviews

About the Author

Dan Jurafsky is an associate professor in the Department of Linguistics, and by courtesy in Department of Computer Science, at Stanford University. Previously, he was on the faculty of the University of Colorado, Boulder, in the Linguistics and Computer Science departments and the Institute of Cognitive Science. He was born in Yonkers, New York, and received a B.A. in Linguistics in 1983 and a Ph.D. in Computer Science in 1992, both from the University of California at Berkeley. He received the National Science Foundation CAREER award in 1998 and the MacArthur Fellowship in 2002. He has published over 90 papers on a wide range of topics in speech and language processing.

James H. Martin is a professor in the Department of Computer Science and in the Department of Linguistics, and a fellow in the Institute of Cognitive Science at the University of Colorado at Boulder. He was born in New York City, received a B.S. in Comoputer Science from Columbia University in 1981 and a Ph.D. in Computer Science from the University of California at Berkeley in 1988. He has authored over 70 publications in computer science including the book A Computational Model of Metaphor Interpretation.

Product details

  • ASIN ‏ : ‎ 0131873210
  • Publisher ‏ : ‎ Prentice Hall; 2nd edition (May 16, 2008)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 1024 pages
  • ISBN-10 ‏ : ‎ 9780131873216
  • ISBN-13 ‏ : ‎ 978-0131873216
  • Item Weight ‏ : ‎ 3.65 pounds
  • Dimensions ‏ : ‎ 7 x 1.5 x 9.3 inches
  • Customer Reviews:
    4.4 4.4 out of 5 stars 61 ratings

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  1. James H. Martin

    James H. Martin

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  2. Dan Jurafsky

    Dan Jurafsky

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    Dan Jurafsky is Professor of Computer Science, Professor of Linguistics, and Reynolds Professor in Humanities at Stanford University. He is also a member of the American Academy of Arts and Sciences, and a 2002 MacArthur Fellow. His book "The Language of Food: A Linguist Reads the Menu" was a finalist for the 2015 James Beard Award, and has been translated into 3 languages, and was a bestseller in Korea. His co-authored textbook "Speech and Language Processing" is the most widely used text in Natural Language Processing.

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Customer reviews

4.4 out of 5 stars
61 global ratings

Customers say

Customers find the information in the book logically laid out and insightful. They say it provides much deeper detail on topics being discussed in class. Readers also mention the book covers a lot of territory, including both text and speech.

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9 customers mention "Information clarity"9 positive0 negative

Customers find the information in the book logically laid out and insightful. They say it provides much deeper detail on the topics being discussed in class. Readers also mention the book is thorough, comprehensive, and suitable for all levels.

"...It covers a huge number of topics, and goes quite deeply into each of them...." Read more

"...The book provides much deeper detail on the topics being discussed in class...." Read more

"...While it is an achievement to assemble such a collection of relevant information, the book could be more useful than it is...." Read more

"...the problems and Nlp concepts at a fundamental level which is very useful and insightful. So far I love it." Read more

3 customers mention "Coverage"3 positive0 negative

Customers find the book covers a lot of territory and topics.

"...It covers a huge number of topics, and goes quite deeply into each of them...." Read more

"...The book covers a lot of ground, and a fifty-page bibliography directs readers to vast expanses beyond the book's horizon...." Read more

"...It covers a lot of territory, including both text and speech...." Read more

Top reviews from the United States

Hai Tran
5.0 out of 5 stars Good for someone new to Natural Language Processing
Reviewed in the United States on April 10, 2017
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A wonderful book which is used in many Natural Language Processing courses. It covers a huge number of topics, and goes quite deeply into each of them. I didn't intent to purchase this book at first but when I realized how useful it would be to have a physical copy with me, I was not hesitate to get one.
2 people found this helpful
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GeooeG
5.0 out of 5 stars Great book that covers a wide range of NLP
Reviewed in the United States on March 14, 2012
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I purchased this book as a companion to the free Stanford NLP class being taught by Dan Jurafsky and Chris Manning. The book provides much deeper detail on the topics being discussed in class. I have been working in the field of Speech and Natural Language Processing for years and feel that this is a good "core" book for someone who wants a reference for the current methods in natural language. I also highly recommend the free Stanford class.
One person found this helpful
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Emre Sevinç
5.0 out of 5 stars Broadest coverage with enough direction for further study
Reviewed in the United States on April 17, 2011
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This is one of the books that I consider as a starting point / reference whenever I need to deal with a practical natural language processing (NLP) problem. I also have  Natural Language Processing with Python  on my shelf and it's wonderful in terms of providing a practical start for nearly any NLP problem but when the need arises to cover more ground both in terms of theory and practical pitfalls then Jurafsky & Martin is my guide.

Natural language processing is a fast-moving target and it is impossible to know about the latest developments in the field without reading recent academic articles so nobody should expect to get the same information from this book, however mastering the concepts and algoritmhs in the book will provide the reader with the necessary background to understand state-of-the-art in NLP.

Most of the exercises are very interesting but I wish they had some kind of difficulty level indicated next to them. Another criticism would be that more information on practical implementation details of the algorithms could have been given but I believe these minor criticisms does not lead to a four star rating. It is a very difficult project to give a comprehensive overview of the whole NLP field and Jurafsky & Martin achieved that.
2 people found this helpful
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Amol Bhalla
4.0 out of 5 stars Foundation Textbook for NLP
Reviewed in the United States on January 18, 2014
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I purchased this textbook initially for a class in natural language processing in the Biomedical Informatics domain. Throughout the semester, it provided itself as a excellent reference text and also an added bonus of providing problems that challenged me quite thoroughly. I would suggest this text as a must have if you are interested in the realm of natural language processing and speech processing.
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John M. Ford
3.0 out of 5 stars Encyclopedic Treatment of NLP
Reviewed in the United States on April 26, 2012
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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.
15 people found this helpful
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Brennah
5.0 out of 5 stars Textbook
Reviewed in the United States on May 8, 2022
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I needed this for class, it is okay definitely goes through the problems and Nlp concepts at a fundamental level which is very useful and insightful. So far I love it.
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Amazon Customer
5.0 out of 5 stars so far the book is excellent. For anyone interested in automated processing of natural ...
Reviewed in the United States on August 6, 2017
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While I'm only six or seven chapters into it, which are of an introductory nature, so far the book is excellent. For anyone interested in automated processing of natural speech, I think this would be a terrific addition. I'm learning a great deal from it, which is very much cementing my foundation in these concepts.
One person found this helpful
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Marlin
5.0 out of 5 stars A thorough book on NLP
Reviewed in the United States on April 15, 2013
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Needless to say, this is a classic in the NLP domain. It is different with most of other NLP book in that it focuses "real" computational linguistics but tons of other books focus on some toolkit or practical methodologies. The book is thorough and comprehensive and suitable for all levels of learners.
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Top reviews from other countries

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Miguel
5.0 out of 5 stars Excelente libro recomendable para procesamiento del lenguaje natural
Reviewed in Mexico on November 15, 2017
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El libro indispensable para alumnos, profesores e investigadores de tecnologías del lenguaje natural. Daniel jurafsky explica de una forma entendible y sencilla las técnicas de NLP. Si buscas un libro para tener como referencia este es el indicado.
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Miguel
5.0 out of 5 stars Excelente libro recomendable para procesamiento del lenguaje natural
Reviewed in Mexico on November 15, 2017
El libro indispensable para alumnos, profesores e investigadores de tecnologías del lenguaje natural. Daniel jurafsky explica de una forma entendible y sencilla las técnicas de NLP. Si buscas un libro para tener como referencia este es el indicado.
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dp
5.0 out of 5 stars Excellent book
Reviewed in Spain on September 4, 2016
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This is an excellent introduction to the really complex subject, It definitely isn't an easy reading, but much easier for understanding than most of the text on NLP subject I ever read. Awaiting for the modernised 3rd edition :)
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Syed Latifi
5.0 out of 5 stars Five Stars
Reviewed in Canada on November 2, 2014
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Excellent book, thorough!
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Matthew Innes
4.0 out of 5 stars This is Hardcover.
Reviewed in Canada on September 22, 2015
Verified Purchase
While the description says paperback, I received a hardcover book which means that the description is wrong. I'm not complaining, though. Assuming that this will be the case for other orders and not just some random occurrence, this may justify the price a bit.
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Amazon Kunde
5.0 out of 5 stars Fast delivery and great quality
Reviewed in Germany on January 11, 2016
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The book came from India much faster than announced and looks like new, it really surprised me. I'm very pleased.
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