Items related to Learning Machine Translation (Neural Information Processing)
Synopsis
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
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About the Author
Cyril Goutte is a researcher in the Interactive Language Technologies Group at the Canadian National Research Council's Institute for Information Technology.
"About this title" may belong to another edition of this title.
- PublisherMIT Press
- Publication date2008
- ISBN 10 0262072971
- ISBN 13 9780262072977
- BindingHardcover
- LanguageEnglish
- Number of pages328
- EditorGoutte Cyril, Cancedda Nicola, Dymetman Marc, Foster George
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Learning Machine Translation
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Learning Machine Translation
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Learning Machine Translation (Neural Information Processing series)
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Learning Machine Translation
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