CMU syntax-based machine translation at WMT 2011

Authors:
Greg Hanneman;Alon Lavie
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Year:
2011

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Abstract

We present the Carnegie Mellon University Stat-XFER group submission to the WMT 2011 shared translation task. We built a hybrid syntactic MT system for French--English using the Joshua decoder and an automatically acquired SCFG. New work for this year includes training data selection and grammar filtering. Expanded training data selection significantly increased translation scores and lowered OOV rates, while results on grammar filtering were mixed.