期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2011
卷号：2011
出版社：ACL Anthology
摘要：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.
