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Speech and Language Processing - (Prentice Hall Series in Artificial Intelligence) 2 Edition (Hardcover)

Speech and Language Processing - (Prentice Hall Series in Artificial Intelligence) 2 Edition (Hardcover) - image 1 of 1
Speech and Language Processing - (Prentice Hall Series in Artificial Intelligence) 2 Edition (Hardcover) - image 1 of 1
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About this item

Specifications

Edition: 2 Edition

Number of Pages: 988

Genre: Computers + Internet

Sub-Genre: Computer Vision & Pattern Recognition

Series Title: Prentice Hall Series in Artificial Intelligence

Format: Hardcover

Publisher: Pearson

Author: Daniel Jurafsky & James H Martin

Language: English

Street Date: April 1, 2008
TCIN: 77778921
UPC: 9780131873216
Item Number (DPCI): 247-08-0572

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
  • 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
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