DFKI-LT - Further Experiments with Shallow Hybrid MT Systems

Christian Federmann, Andreas Eisele, Hans Uszkoreit, Yu Chen, Sabine Hunsicker, Jia Xu
Further Experiments with Shallow Hybrid MT Systems
in: Chris Callison-Burch, Philipp Koehn, Christof Monz, Kay Peterson, Omar Zaidan (eds.):
6 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, Pages 77-81, Uppsala, Sweden, ACL, Association for Computational Linguistics (ACL), 209 N. Eighth Street Stroudsburg, PA 18360 USA, 7/2010
 
We describe our hybrid machine translation system which has been developed for and used in the WMT10 shared task. We compute translations from a rule-based MT system and combine the resulting translation "templates" with partial phrases from a state-of-the-art phrase-based, statistical MT engine. Phrase substitution is guided by several decision factors, a continuation of previous work within our group. For the shared task, we have computed translations for six language pairs including English, German, French and Spanish. Our experiments have shown that our shallow substitution approach can effectively improve the translation result from the RBMT system; however it has also become clear that a deeper integration is needed to further improve translation quality.
 
Files: BibTeX, (noch nicht erschienen), FedermannEA-WMT2010.pdf