Improved features and grammar selection for syntax-based MT

Authors:
Greg Hanneman;Jonathan Clark;Alon Lavie
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Year:
2010

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Abstract

We present the Carnegie Mellon University Stat-XFER group submission to the WMT 2010 shared translation task. Updates to our syntax-based SMT system mainly fell in the areas of new feature formulations in the translation model and improved filtering of SCFG rules. Compared to our WMT 2009 submission, we report a gain of 1.73 BLEU by using the new features and decoding environment, and a gain of up to 0.52 BLEU from improved grammar selection.