DFKI-LT - Using Moses to Integrate Multiple Rule-Based Machine Translation Engines into a Hybrid System

Andreas Eisele, Christian Federmann, Hervé Saint-Amand, Michael Jellinghaus, Teresa Herrmann, Yu Chen
Using Moses to Integrate Multiple Rule-Based Machine Translation Engines into a Hybrid System
4 Proceedings of the Third Workshop on Statistical Machine Translation, Pages 179-182, Columbus, Ohio, OH, USA, Association for Computational Linguistics, ACL, Columbus, Ohio, 2008
 
Based on an architecture that allows to combine statistical machine translation (SMT) with rule-based machine translation (RBMT) in a multi-engine setup, we present new results that show that this type of system combination can actually increase the lexical coverage of the resulting hybrid system, at least as far as this can be measured via BLEU score.
 
Files: BibTeX, W08-0328.pdf