The RWTH Aachen machine translation system for WMT 2010

Authors:
Carmen Heger;Joern Wuebker;Matthias Huck;Gregor Leusch;Saab Mansour;Daniel Stein;Hermann Ney
Affiliations:
RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany
Venue:
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Year:
2010

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Abstract

In this paper we describe the statistical machine translation system of the RWTH Aachen University developed for the translation task of the Fifth Workshop on Statistical Machine Translation. State-of-the-art phrase-based and hierarchical statistical MT systems are augmented with appropriate morpho-syntactic enhancements, as well as alternative phrase training methods and extended lexicon models. For some tasks, a system combination of the best systems was used to generate a final hypothesis. We participated in the constrained condition of German-English and French-English in each translation direction.