Publication
Integrating a Rule-based with a Hierarchical Translation System
Yu Chen; Andreas Eisele
In: Daniel Tapias; Mike Rosner; Stelios Piperidis; Jan Odjik; Joseph Mariani; Bente Maegaard; Khalid Choukri; Nicoletta Calzolari (Conference Chair) (Hrsg.). Proceedings of the Seventh conference on International Language Resources and Evaluation. International Conference on Language Resources and Evaluation (LREC-10), May 19-21, La Valletta, Malta, Pages 1746-1752, ISBN 2-9517408-6-7, European Language Resources Association (ELRA), 5/2010.
Abstract
Recent developments on hybrid systems that combine rule-based machine translation (RBMT) systems with statistical machine translation
(SMT) generally neglect the fact that RBMT systems tend to produce more syntactically well-formed translations than data-driven
systems. This paper proposes a method that alleviates this issue by preserving more useful structures produced by RBMT systems and
utilizing them in a SMT system that operates on hierarchical structures instead of flat phrases alone. For our experiments, we use Joshua
as the decoder (Li et al., 2009). It is the first attempt towards a tighter integration of MT systems from different paradigms that both
support hierarchical analyses. Preliminary results show consistent improvements over the previous approach.