Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition

By James H. Martin and Dan Jurafsky

Book Overview

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 Power Point Lecture Slides - Chapters 1-5, 8-10, 12-13 and 24 Now Available! For additional resourcse visit the author website: http: //www.cs.colorado.edu/ martin/slp.html This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 0131873210
• ISBN13: 9780131873216
• Release Date: May 2008
• Publisher: Prentice Hall
• Length: 1024 Pages
• Weight: 3.25 lbs.
• Dimensions: 9.3" x 1.5" x 7.0"

Customer Reviews

Big improvement over the first edition

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!...

Great introductions and reference book

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...

Most comprehensive introduction to NLP

This book is a feat for anybody interested in Natural Language Processing and probably the most comprehensive book on this subject. It provides an in-depth overview of the most important aspects of NLP from regular expressions to sense disambiguation, discourse, and machine translation. I particularly like the bibliographical and historical notes in each chapter, which provide additional historical context and lots of references...

An excellent introduction to NLP...

I started reading James Allen's Natural Language Understanding to get background information on an NLP indepedent study project. The book was good, but I still found some points unclear and turned to Jurafsky/Martin for more information. In the end I found Jurafsky very comprehensive and much more down to earth than Allen. (They make useful references to popular movies and culture without sacrificing their academic reputation.)...

A Landmark Book

The previous best book on NLP was James Allen's (1995), which was considered ambitious at the time because it covered syntax, semantics and some pragmatics. But Martin and Jurafsky is far more ambitious, because it covers speech recognition as well, and has far expanded coverage of language generation and translation. It also covers the great advances in statistical techniques that have marked the last decade. It is...