Paper: Using subcategorization knowledge to improve case prediction for translation to German

ACL ID P13-1058
Title Using subcategorization knowledge to improve case prediction for translation to German
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

This paper demonstrates the need and im- pact of subcategorization information for SMT. We combine (i) features on source- side syntactic subcategorization and (ii) an external knowledge base with quantita- tive, dependency-based information about target-side subcategorization frames. A manual evaluation of an English-to- German translation task shows that the subcategorization information has a posi- tive impact on translation quality through better prediction of case.