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Statistical machine translation

Statistical machine translation Statistical machine translation (SMT) treats the translation of natural language as a machine learning problem. By examining many samples of human-produced translation, SMT algorithms automatically learn how to translate. SMT has made tremendous strides in less than two decades, and new ideas are constantly introduced. This survey presents a tutorial overview of the state of the art. We describe the context of the current research and then move to a formal problem description and an overview of the main subproblems: translation modeling, parameter estimation, and decoding. Along the way, we present a taxonomy of some different approaches within these areas. We conclude with an overview of evaluation and a discussion of future directions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Computing Surveys (CSUR) Association for Computing Machinery

Statistical machine translation

ACM Computing Surveys (CSUR) , Volume 40 (3) – Aug 1, 2008

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References (114)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2008 by ACM Inc.
ISSN
0360-0300
DOI
10.1145/1380584.1380586
Publisher site
See Article on Publisher Site

Abstract

Statistical machine translation (SMT) treats the translation of natural language as a machine learning problem. By examining many samples of human-produced translation, SMT algorithms automatically learn how to translate. SMT has made tremendous strides in less than two decades, and new ideas are constantly introduced. This survey presents a tutorial overview of the state of the art. We describe the context of the current research and then move to a formal problem description and an overview of the main subproblems: translation modeling, parameter estimation, and decoding. Along the way, we present a taxonomy of some different approaches within these areas. We conclude with an overview of evaluation and a discussion of future directions.

Journal

ACM Computing Surveys (CSUR)Association for Computing Machinery

Published: Aug 1, 2008

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