ISBN-13: 978-0133252804
Author: Jurafsky Daniel, Martin James H., Norvig Peter, Russell Stuart
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.
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
Please note: This is an Ebook, not a Paper Book or Audio Book!
Delivery: This can be downloaded immediately after purchasing.
Version: Only PDF Version.
Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC).
Quality: High Quality. No missing contents. Printable.




