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Book Information

   

Title: Statistical Machine Translation
Written By: Philipp Koehn
URL: http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780511687594
Description:

The dream of automatic language translation is now closer thanks to recent
advances in the techniques that underpin statistical machine translation.
This class-tested textbook from an active researcher in the field, provides
a clear and careful introduction to the latest methods and explains how to
build machine translation systems for any two languages. It introduces the
subject's building blocks from linguistics and probability, then covers the
major models for machine translation: word-based, phrase-based, and
tree-based, as well as machine translation evaluation, language modeling,
discriminative training and advanced methods to integrate linguistic
annotation. The book also reports the latest research, presents the major
outstanding challenges, and enables novices as well as experienced
researchers to make novel contributions to this exciting area. Ideal for
students at undergraduate and graduate level, or for anyone interested in
the latest developments in machine translation.

- The first introductory guide to this burgeoning field - takes readers
step by
step through theory and methods
- Class tested by the author at universities and conference tutorials
- Accompanying website provides additional exercises and links to further
resources

Publication Year: 2010
Publisher: Cambridge University Press
Review: Not available for review. If you would like to review a book on The LINGUIST List, please login to view the AFR list.
BibTex: View BibTex record
Linguistic Field(s): Computational Linguistics
Translation
Issue: All announcements sent out by The LINGUIST List are emailed to our subscribers and archived with the Library of Congress.
Click here to see the original emailed issue.

Versions:
Format: Electronic
ISBN-13: 9780511687594
Prices: U.S. $ 48.00
 
Format: Hardback
ISBN-13: 9780521874151
Pages: 446
Prices: U.K. £ 40.00