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Ismael García-Varea, Franz Josef Och, Hermann Ney, Francisco Casacuberta. Improving Alignment Quality in Statistical Machine Translation Using Context-dependent Maximum Entropy Models. In COLING. 2002. [doi]
Possibly Related PublicationsThe following publications are possibly variants of this publication: Maximum Entropy Modeling: A Suitable Framework to Learn Context-Dependent Lexicon Models for Statistical Machine TranslationIsmael García-Varea, Francisco Casacuberta. ml, 60(1-3):135-158, 2005. [doi] Discriminative Training and Maximum Entropy Models for Statistical Machine TranslationFranz Josef Och, Hermann Ney. acl 2002: 295-302 [doi] Refined Lexikon Models for Statistical Machine Translation Using a Maximum Entropy ApproachIsmael García-Varea, Franz Josef Och, Hermann Ney, Francisco Casacuberta. acl 2001: 204-211 [doi] A Comparison of Alignment Models for Statistical Machine TranslationFranz Josef Och, Hermann Ney. COLING 2000: 1086-1090 [doi]
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