Speech and Language Processing (2nd Edition) (Prentice Hall Series in Artificial Intelligence) | 
 enlarge | Authors: Daniel Jurafsky, James H. Martin
Publisher: Prentice Hall
Category: Book
List Price: $118.00
Buy New: $85.00
You Save: $33.00 (28%)
New (35) Used (11) from $75.23
Avg. Customer Rating:  21 reviews
Sales Rank: 9035
Media: Hardcover
Edition: 2
Number Of Items: 1
Pages: 1024
Shipping Weight (lbs): 3.4
Dimensions (in): 9.4 x 7 x 1.7
ISBN: 0131873210
Dewey Decimal Number: 410.285
EAN: 9780131873216
ASIN: 0131873210
Publication Date: May 26, 2008
Availability: Usually ships in 1-2 business days
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Product Description
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 book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. Builds each chapter around one or more worked examples demonstrating the main idea of the chapter, usingthe examples to illustrate the relative strengths and weaknesses of various approaches. Adds coverage of statistical sequence labeling, information extraction, question answering and summarization, advanced topics in speech recognition, speech synthesis. Revises coverage of language modeling, formal grammars, statistical parsing, machine translation, and dialog processing. A useful reference for professionals in any of the areas of speech and language processing.
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| Customer Reviews: Read 16 more reviews...
 Big improvement over the first edition December 7, 2008
As its lengthy subtitle suggests, this is a big book (just under a thousand pages) and unbelievably comprehensive. On the whole, the book is a major improvement over its predecessor. The first edition was plagued with typos on seemingly every page, and was also way too thin in certain places. I seem to remember them rushing through phonetics in a single page or two, and then describing optimality theory in just a couple sentences! The second edition's coverage of the field is significantly broader and deeper. Phonetics now gets a good 15 pages. The typos are gone and the appearance of the book is also much improved, with nice-looking black-and-white diagrams on nearly every page.
I have one pedagogical quibble with the new edition. The first edition introduced readers to the Bayesian noisy channel model by applying it to the problem of spelling correction, as implemented in the classic paper by Kernighan et al. Because noisy channel spelling correction is so fiendishly simple, and the paper is so readable, this was the perfect way to introduce a student to Bayesian models of language. In the second edition, however, the authors decided to jump straight into noisy channel POS tagging, a much more challenging topic, and to relegate spelling correction to an "Advanced" (?) section at the end of Chapter 5. They really should have started with spelling correction and then moved to tagging.
Quibbles aside, this book is a spectacular achievement. The first edition of Speech and Language Processing was a breathtaking synthesis of material, and it helped to unify the field of language technology, despite its flaws. This greatly updated second edition is a big improvement and will be the standard text in the field for years to come.
 quite good, but still has improvement space November 2, 2008
This book is quite good if you are interested in NLP.
If the could author provide a CD with some demos,source codes and applications, it, the reader can understand the contend in this book easier.
This course is really realy difficult.
Great introductions and reference book August 9, 2008
3 out of 3 found this review helpful
I read the first edition of that book and it is terrific. The second edition is much more adapted to current research. Statistical methods in NLP are more detailed and some syntax-based approaches are presented. My specific interest is in machine translation and dialogue systems. Both chapters are extensively rewritten and much more elaborated. I believe this book is perfect for everyone who starts in speech and language processing. With precision, coherent examples and some humor, this book give a great introduction into this topic as well as material for already experienced readers.
 Needs a second volume which explains the first May 19, 2005
10 out of 10 found this review helpful
This book is by now an accepted classic in the field. It is basically the only textbook that covers so much of computational linguistics, so I have had no choice but to use it for the past several years. Just the same, I'd rather not use it for teaching linguistics students. While the book has much to offer the professional, including a broad range of topics extensively researched, it is much more useful in this "handbook" capacity than as a textbook for the uninitiated. The chief reasons for this are: 1) It is pedagogically very poor; the majority of concepts are either explained in a confusing and obfuscatory manner or are not explained and are simply left in algorithmic form. This is not usually edifying to the linguistics student with no computer science background. 2) There are too many mistakes in its algorithms and method overviews. So far as I can see, even the famed Earley parsing algorithm is wrong here, it will not yield the correct output. 3) It is not written in a language that linguistics students can understand. With no background in mathematics, computer science, or pseudocode, such students need much more coddling than is provided by this book, and they are virtually unable to read it. Basically, as the title to this review states, what is called for now is a book to explain the contents of this book. Perhaps if my students keep encouraging me to write it. . .
I looked for November 5, 2003
2 out of 20 found this review helpful
something which I can use - I am a linguist - and found it immensly readable and useful
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