Paper: A Syntax-Driven Bracketing Model for Phrase-Based Translation

ACL ID P09-1036
Title A Syntax-Driven Bracketing Model for Phrase-Based Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

Syntactic analysis influences the way in which the source sentence is translated. Previous efforts add syntactic constraints to phrase-based translation by directly rewarding/punishing a hypothesis when- ever it matches/violates source-side con- stituents. We present a new model that automatically learns syntactic constraints, including but not limited to constituent matching/violation, from training corpus. The model brackets a source phrase as to whether it satisfies the learnt syntac- tic constraints. The bracketed phrases are then translated as a whole unit by the de- coder. Experimental results and analy- sis show that the new model outperforms other previous methods and achieves a substantial improvement over the baseline which is not syntactically informed.