21.3290, Books: Computational Linguistics/Translation: Koehn

Sun Aug 15 14:19:17 UTC 2010

LINGUIST List: Vol-21-3290. Sun Aug 15 2010. ISSN: 1068 - 4875.

Subject: 21.3290, Books: Computational Linguistics/Translation: Koehn

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1)
Date: 11-Aug-2010
From: Daniel Davies < ddavies at cambridge.org >
Subject: Statistical Machine Translation: Koehn

-------------------------Message 1 ---------------------------------- 
Date: Sun, 15 Aug 2010 10:18:21
From: Daniel Davies [ddavies at cambridge.org]
Subject: Statistical Machine Translation: Koehn

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Title: Statistical Machine Translation 
Publication Year: 2010 
Publisher: Cambridge University Press
	   http://us.cambridge.org

Book URL: http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780511687594 

Author: Philipp Koehn

Electronic: ISBN:  9780511687594 Pages:  Price: U.S. $ 48.00
Hardback: ISBN:  9780521874151 Pages: 446 Price: U.K. £ 40.00 Comment: published on December 2009

Abstract:

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 

Contents

Preface; 
Part I. Foundations: 
1. Introduction; 
2. Words, sentences, corpora; 
3. Probability theory; 
Part II. Core Methods: 
4. Word-based models; 
5. Phrase-based models; 
6. Decoding; 
7. Language models; 
8. Evaluation; 
Part III. Advanced Topics: 
9. Discriminative training; 
10. Integrating linguistic information; 
11. Tree-based models; 
Bibliography; 
Author index; 
Index.

Review

'Philipp Koehn has provided the first comprehensive text for the rapidly 
growing field of statistical machine translation. This book is an invaluable 
resource for students, researchers, and software developers, providing a lucid 
and detailed presentation of all the important ideas needed to understand or 
create a state-of-the-art statistical machine translation system.' Robert C. 
Moore, Principal Researcher, Microsoft Research 

Linguistic Field(s): Computational Linguistics
                     Translation

Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=49784

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	Brill          
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