LINGUIST List 21.3290

Sun Aug 15 2010

Books: Computational Linguistics/Translation: Koehn

Editor for this issue: Maria Moreno-Rollins <marialinguistlist.org>


        1.    Daniel Davies, Statistical Machine Translation: Koehn

Message 1: Statistical Machine Translation: Koehn
Date: 11-Aug-2010
From: Daniel Davies <ddaviescambridge.org>
Subject: Statistical Machine Translation: Koehn
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Title: Statistical Machine Translation Published: 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 recentadvances in the techniques that underpin statistical machine translation.This class-tested textbook from an active researcher in the field, providesa clear and careful introduction to the latest methods and explains how tobuild machine translation systems for any two languages. It introduces thesubject's building blocks from linguistics and probability, then covers themajor models for machine translation: word-based, phrase-based, andtree-based, as well as machine translation evaluation, language modeling,discriminative training and advanced methods to integrate linguisticannotation. The book also reports the latest research, presents the majoroutstanding challenges, and enables novices as well as experiencedresearchers to make novel contributions to this exciting area. Ideal forstudents at undergraduate and graduate level, or for anyone interested inthe latest developments in machine translation.

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

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 rapidlygrowing field of statistical machine translation. This book is an invaluableresource for students, researchers, and software developers, providing a lucidand detailed presentation of all the important ideas needed to understand orcreate 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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Page Updated: 15-Aug-2010