CMU Syntax-Based Machine Translation at WMT 2011
Greg Hanneman, Alon Lavie · 2011
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. 1