acl acl2011 acl2011-313 acl2011-313-reference knowledge-graph by maker-knowledge-mining
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Author: David Chiang ; Steve DeNeefe ; Michael Pust
Abstract: We introduce two simple improvements to the lexical weighting features of Koehn, Och, and Marcu (2003) for machine translation: one which smooths the probability of translating word f to word e by simplifying English morphology, and one which conditions it on the kind of training data that f and e co-occurred in. These new variations lead to improvements of up to +0.8 BLEU, with an average improvement of +0.6 BLEU across two language pairs, two genres, and two translation systems.
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