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Learning Machine Translation$
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Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster

Print publication date: 2008

Print ISBN-13: 9780262072977

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262072977.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 21 May 2022

A Statistical Machine Translation Primer

A Statistical Machine Translation Primer

(p.1) 1 A Statistical Machine Translation Primer
Learning Machine Translation

Nicola Cancedda

Marc Dymetman

George Foster

Cyril Goutte

The MIT Press

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

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