Achieving commercial-quality translation with example-based methods

Stephen Richardson, William Dolan, Arul Menezes, Jessie Pinkham


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.
Anthology ID:
2001.mtsummit-papers.53
Volume:
Proceedings of Machine Translation Summit VIII
Month:
September 18-22
Year:
2001
Address:
Santiago de Compostela, Spain
Editor:
Bente Maegaard
Venue:
MTSummit
SIG:
Publisher:
Note:
Pages:
Language:
URL:
https://aclanthology.org/2001.mtsummit-papers.53
DOI:
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Cite (ACL):
Stephen Richardson, William Dolan, Arul Menezes, and Jessie Pinkham. 2001. Achieving commercial-quality translation with example-based methods. In Proceedings of Machine Translation Summit VIII, Santiago de Compostela, Spain.
Cite (Informal):
Achieving commercial-quality translation with example-based methods (Richardson et al., MTSummit 2001)
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PDF:
https://aclanthology.org/2001.mtsummit-papers.53.pdf