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Achieving commercial-quality translation
with example-based methods
September 1, 2001
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Download Document
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View Link
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BibTex
Authors

Bill Dolan

Jessie Pinkham

Stephen D. Richardson

Arul Menezes
Publication Type
Inproceedings
Publisher
European Association for Machine Translation
copyright 2001 by the European Association for Machine Translation.

Abstract

Related Info
Abstract
We describe MSR-MT, a large-scale example-based machine translation system under
development for several language pairs. Trained on aligned English-Spanish technical prose, a
blind evaluation shows that MSR-MT’s integration of rule-based parsers, example based
processing, and statistical techniques produces translations whose quality in this domain exceeds
that of uncustomized commercial MT systems.
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 Natural Language Processing
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 Machine Translation
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 Natural language processing and speech
 Programming languages and software engineering
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 Microsoft Research Lab - Redmond
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