Paper: Phrase Linguistic Classification And Generalization For Improving Statistical Machine Translation

ACL ID P05-2012
Title Phrase Linguistic Classification And Generalization For Improving Statistical Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2005
Authors

In this paper a method to incorporate lin- guistic information regarding single-word and compound verbs is proposed, as a first step towards an SMT model based on linguistically-classified phrases. By substituting these verb structures by the base form of the head verb, we achieve a better statistical word alignment perfor- mance, and are able to better estimate the translation model and generalize to unseen verb forms during translation. Preliminary experiments for the English - Spanish lan- guage pair are performed, and future re- search lines are detailed.