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Discriminative Training and Maximum Entropy Models for Statistical Machine Translation

Franz Josef Och, Hermann Ney


Anthology ID:
P02-1038
Volume:
Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2002
Address:
Philadelphia, Pennsylvania, USA
Editors:
Pierre Isabelle, Eugene Charniak, Dekang Lin
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
295–302
Language:
URL:
https://aclanthology.org/P02-1038
DOI:
10.3115/1073083.1073133
Award:
 Best Paper
Bibkey:
Cite (ACL):
Franz Josef Och and Hermann Ney. 2002. Discriminative Training and Maximum Entropy Models for Statistical Machine Translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 295–302, Philadelphia, Pennsylvania, USA. Association for Computational Linguistics.
Cite (Informal):
Discriminative Training and Maximum Entropy Models for Statistical Machine Translation (Och & Ney, ACL 2002)
Copy Citation:
PDF:
https://aclanthology.org/P02-1038.pdf