Overview

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, Jesús Giménez, Cyril Goutte, Nizar Habash, Gholamreza Haffari, Patrick Haffner, Hitoshi Isahara, Stephan Kanthak, Alexandre Klementiev, Gregor Leusch, Pierre Mahé, Lluís Màrquez, 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

Full Product Details

Author:   Cyril Goutte (Language Technology Research Centre) ,  Nicola Cancedda (Xerox Research Centre Europe) ,  Marc Dymetman (Naver Labs Europe) ,  George Foster (Language Technology Research Centre)
Publisher:   MIT Press Ltd
Imprint:   MIT Press
Dimensions:   Width: 20.30cm , Height: 2.10cm , Length: 25.40cm
Weight:   0.862kg
ISBN:  

9780262072977

ISBN 10:   0262072971
Pages:   328
Publication Date:   14 November 2008
Recommended Age:   From 18
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   No Longer Our Product
Availability:   In Print  
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Cyril Goutte is a researcher in the Interactive Language Technologies Group at the Canadian National Research Council's Institute for Information Technology. Nicola Cancedda is a researcher in the Cross-Language Technologies Research Group at the Xerox Research Centre Europe. Marc Dymetman is a researcher in the Cross-Language Technologies Research Group at the Xerox Research Centre Europe. George Foster is a researcher in the Interactive Language Technologies Group at the Canadian National Research Council's Institute for Information Technology. Nicola Cancedda is a researcher in the Cross-Language Technologies Research Group at the Xerox Research Centre Europe. Marc Dymetman is a researcher in the Cross-Language Technologies Research Group at the Xerox Research Centre Europe. George Foster is a researcher in the Interactive Language Technologies Group at the Canadian National Research Council's Institute for Information Technology. Cyril Goutte is a researcher in the Interactive Language Technologies Group at the Canadian National Research Council's Institute for Information Technology. Srinivas Bangalore is Principal Technical Staff Member at AT&T Labs-Research. He was awarded the AT&T Science and Technology Medal in 2009 for technical leadership and innovative contributions in Spoken Language Technology and Services.

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