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Learning Machine Translation,Goutte, Cyril,MIT Press by Goutte, Cyl & Cancedda, Nicola & Dymetman, Marc & Foster, George is a nonfiction available to read on EtoBox.

What is Learning Machine Translation,Goutte, Cyril,MIT Press about?

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. ContributorsSrinivas Bangalore, Nicola Cancedda, Josep M. Crego, Marc Dymetman, Jakob Elming, George Foste

Who reads Learning Machine Translation,Goutte, Cyril,MIT Press?

Author

Goutte, Cyl & Cancedda, Nicola & Dymetman, Marc & Foster, George

Publisher

MIT Press; The MIT Press

Published

2008

Language

EN

ISBN

9780262072977

Category

nonfiction

Subjects

Computer Science, Science, Language Learning