Achieving commercial-quality translation with example-based methods

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.

mtsummit01-overview-sdr-final.doc
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Publisher  European Association for Machine Translation
copyright 2001 by the European Association for Machine Translation.

Details

TypeInproceedings
URLhttp://www.eamt.org
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