Paper: Improving Pronoun Translation for Statistical Machine Translation

ACL ID E12-3001
Title Improving Pronoun Translation for Statistical Machine Translation
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Student Session
Year 2012
Authors

Machine Translation is a well?established field, yet the majority of current systems translate sentences in isolation, losing valu- able contextual information from previ- ously translated sentences in the discourse. One important type of contextual informa- tion concerns who or what a coreferring pronoun corefers to (i.e., its antecedent). Languages differ significantly in how they achieve coreference, and awareness of an- tecedents is important in choosing the cor- rect pronoun. Disregarding a pronoun?s an- tecedent in translation can lead to inappro- priate coreferring forms in the target text, seriously degrading a reader?s ability to un- derstand it. This work assesses the extent to which source-language annotation of coreferring pronouns can improve English?Czech Sta- tistical Machin...