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

In: Proceedings of the Third Workshop on Statistical Machine Translation. Workshop on Statistical Machine Translation (WMT) 3rd befindet sich ACL 2008 June 19-20 Columbus, Ohio OH United States Seiten 179-182 Association for Computational Linguistics 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.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence