Paper: Better Statistical Machine Translation through Linguistic Treatment of Phrasal Verbs

ACL ID D14-1024
Title Better Statistical Machine Translation through Linguistic Treatment of Phrasal Verbs
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

This article describes a linguistically in- formed method for integrating phrasal verbs into statistical machine translation (SMT) systems. In a case study involving English to Bulgarian SMT, we show that our method does not only improve trans- lation quality but also outperforms simi- lar methods previously applied to the same task. We attribute this to the fact that, in contrast to previous work on the subject, we employ detailed linguistic information. We found out that features which describe phrasal verbs as idiomatic or composi- tional contribute most to the better trans- lation quality achieved by our method.