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An overview of the phrase-based statistical machine translation techniques

Published online by Cambridge University Press:  12 November 2012

Marta Ruiz Costa-jussà
Marta Ruiz Costa-jussà*
Affiliation:
Barcelona Media Innovation Center, Avenida Diagonal 177, 9th floor, 08018 Barcelona, Spain; e-mail: [email protected]
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Abstract

This work provides a general overview of the statistical machine translation (SMT) scientific field, which is a subfield of machine translation (MT). Specifically, this paper focuses on one of the most popular SMT approaches, that is, the phrase-based system.

The phrase-based translation units are typically extracted using statistical criteria, and they are weighted using different models. These models are log-linearly combined in the decoding, which is in charge of choosing the most probable translation. Significant quality improvements have been produced from original phrase-based SMT systems. Among others, the main challenges are reordering, domain adaptation and evaluation.

Type
Articles
Information
The Knowledge Engineering Review , Volume 27 , Issue 4 , December 2012 , pp. 413 - 431
Copyright
Copyright © Cambridge University Press 2012

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