Paper: Modeling Inflection and Word-Formation in SMT

ACL ID E12-1068
Title Modeling Inflection and Word-Formation in SMT
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

The current state-of-the-art in statistical machine translation (SMT) suffers from is- sues of sparsity and inadequate modeling power when translating into morphologi- cally rich languages. We model both in- flection and word-formation for the task of translating into German. We translate from English words to an underspecified German representation and then use linear- chain CRFs to predict the fully specified German representation. We show that im- proved modeling of inflection and word- formation leads to improved SMT.