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Learning Machine Translation by George Foster, Nicola Cancedda, Cyril Goutte, Marc Dymetman (Hardcover, 2008)

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Product Information

The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how Machine Learning techniques can improve Statistical Machine Translation, currently at the forefront of research in the field. The book looks first at enabling technologies-technologies that solve problems that are not Machine Translation proper but are linked closely to the development of a Machine Translation system. These include the acquisition of bilingual sentence-aligned data from comparable corpora, automatic construction of multilingual name dictionaries, and word alignment. The book then presents new or improved statistical Machine Translation techniques, including a discriminative training framework for leveraging syntactic information, the use of semi-supervised and kernel-based learning methods, and the combination of multiple Machine Translation outputs in order to improve overall translation quality. Contributors Srinivas Bangalore, Nicola Cancedda, Josep M. Crego, Marc Dymetman, Jakob Elming, George Foster, Jesus Gimenez, Cyril Goutte, Nizar Habash, Gholamreza Haffari, Patrick Haffner, Hitoshi Isahara, Stephan Kanthak, Alexandre Klementiev, Gregor Leusch, Pierre Mahe, Lluis Marquez, Evgeny Matusov, I. Dan Melamed, Ion Muslea, Hermann Ney, Bruno Pouliquen, Dan Roth, Anoop Sarkar, John Shawe-Taylor, Ralf Steinberger, Joseph Turian, Nicola Ueffing, Masao Utiyama, Zhuoran Wang, Benjamin Wellington, Kenji Yamada

Product Identifiers

Publisher
Nicola Cancedda, Masao Utiyama, Hitoshi Isahara, Marc Dymetman, George Foster, Cyril Goutte, MIT Press Ltd
ISBN-13
9780262072977
eBay Product ID (ePID)
95293560

Product Key Features

Author
George Foster, Nicola Cancedda, Cyril Goutte, Marc Dymetman
Publication Name
Learning Machine Translation
Format
Hardcover
Language
English
Subject
Computer Science
Publication Year
2008
Type
Textbook
Number of Pages
328 Pages

Dimensions

Item Height
254mm
Item Width
203mm
Item Weight
862g

Additional Product Features

Series Title
Neural Information Processing Series
Country/Region of Manufacture
United States
Editor
Marc Dymetman, George Foster, Cyril Goutte, Nicola Cancedda

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Learning Machine Translation by George Foster, Nicola Cancedda, Cyril Goutte, Marc Dymetman (Hardcover, 2008)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

Australian Guidebook for Structural Engineers by Lonnie Pack (Paperback, 2019)

Eduqas GCSE (9-1) Religious Studies Route B: Catholic Christianity and Judaism by Deirdre Cleary, Andrew Barron, Joy White, Patrick Harrison (Paperback, 2017)

Time Management by Peter Quarry (Paperback, 1986)

The Ethnic Cleansing of Palestine by Ilan Pappe (Paperback, 2007)

Save on Adult Learning & University

The Australian Native Bee Hive Book: Keeping Stingless Sugarbag OATH Tim Heard

Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by A

Netter Atlas of Human Anatomy: Classic Regional Approach

The Indoctrinated Brain: How to Successfully Fend Off the Global Attack on Your

Tuning the A-Series Engine: the Definitive Manual on tuning for Performance or E

Classical Mechanics: The Theoretical Minimum by George Hrabovsky

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