| ||||||||||||||||||
 Trade In this Item for up to £13.00
Get an extra £5 when you trade in books worth £10 or more until June 30, 2012. Trade in Speech and Language Processing: International Version: an Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition for an Amazon.co.uk gift card of up to £13.00, which you can then spend on millions of items across the site. Trade-in values may vary (terms apply). Find more products eligible for trade-in.
|
Frequently Bought Together
Product details
|
More About the Author
Product Description
Product Description
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.
Supplements:
Click on the "Resources" tab to View Downloadable Files:
- Solutions (available 8/15/08)
- Power Point Lecture Slides (available 8/15/08)
For additional resources visit the author website:
http://www.cs.colorado.edu/~martin/slp.html
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.
Suggested Tags from Similar Products(What's this?)Be the first one to add a relevant tag (keyword that's strongly related to this product)
|
Sell a Digital Version of This Book in the Kindle Store
What Other Items Do Customers Buy After Viewing This Item?
Customer Reviews
Specifically, the book covers natural language processing, computational linguistics and speech recognition. There is also a chapter dealing with speech synthesis, and another on machine translation. As a reminder of the important of linguistics in this field, even though it largely transcends it, the book is organised into four topical sections with several chapters each: Words, Syntax, Semantics and Pragmatics.
The Words section includes chapters which introduce regular expressions, finite-state transducers, (computational) phonology, text-to-speech synthesis, probabilistic models of pronunciation and spelling, n-grams, and finally hidden Markov models (HMMs) and speech recognition. The Syntax section introduces word classes and part-of-speech tagging, context-free grammars, parsing, features and unification. The Semantics section has chapters on meaning representation, semantic analysis, lexical semantics, word sense disambiguation and information retrieval. Finally, the Pragmatics section covers discourse, dialogue, conversational agents, natural language generation and machine translation.
A word of warning. There are some basic errors in the mathematical expositions - which are careless and should have been ironed out. There is fairly good errata online, but it does pay to be wary about just blankly copying some of the maths. Keeps you on your toes!
Those problems aside, there are so many goodies in this book that it cannot fail to get 5 stars. If you are doing any language processing, or you are embroiled in a semester long course, buy this book and save yourself a lot of grief.
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.
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
Listmania!
|
|
Look for similar items by category
- Books > Computing & Internet > Computer Science > Artificial Intelligence > Natural Language
- Books > Computing & Internet > Computer Science > Artificial Intelligence > Speech Processing
- Books > Computing & Internet > Digital Lifestyle > Online Shopping > Amazon
- Books > Science & Nature > Engineering & Technology > Education > Higher Education
- Books > Science & Nature > Engineering & Technology > Education > Teaching Aids
- Books > Science & Nature > Engineering & Technology > Electrical > Electrical Engineering
- Books > Science & Nature > Engineering & Technology > Electronics & Communications Engineering
- Books > Scientific, Technical & Medical > Engineering > Electrical Engineering
- Books > Society, Politics & Philosophy > Education Studies
Look for similar items by subject
Feedback
- Would you like to update product info or give feedback on images?
- I am the Author, and I want to comment on my book.
- I am the Publisher, and I want to comment on this book.
|
