Chapter

A Statistical Machine Translation Primer

Nicola Cancedda, Marc Dymetman, George Foster and Cyril Goutte

in Learning Machine Translation

Published by The MIT Press

Published in print November 2008 | ISBN: 9780262072977
Published online August 2013 | e-ISBN: 9780262255097 | DOI: https://dx.doi.org/10.7551/mitpress/9780262072977.003.0001
A Statistical Machine Translation Primer

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This chapter provides an introduction to the main aspects of statistical machine translation (SMT). The discussions cover automatic evaluation of machine translation output, language modeling, word-based and phrase-based translation models, and the use of syntax in machine translation. It considers some recent directions of research that may gain importance. It also situates statistical machine translation in the general context of machine learning research, emphasizing similarities and differences with standard machine learning problems and practice.

Keywords: machine translation; language modeling; translation models; syntax; machine learning research

Chapter.  16575 words.  Illustrated.

Subjects: Artificial Intelligence

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