Paper: Modeling the Translation of Predicate-Argument Structure for SMT

ACL ID P12-1095
Title Modeling the Translation of Predicate-Argument Structure for SMT
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

Predicate-argument structure contains rich se- mantic information of which statistical ma- chine translation hasn?t taken full advantage. In this paper, we propose two discriminative, feature-based models to exploit predicate- argument structures for statistical machine translation: 1) a predicate translation model and 2) an argument reordering model. The predicate translation model explores lexical and semantic contexts surrounding a verbal predicate to select desirable translations for the predicate. The argument reordering model automatically predicts the moving direction of an argument relative to its predicate af- ter translation using semantic features. The two models are integrated into a state-of-the- art phrase-based machine translation system and evaluated on Chinese-to-English t...