NTT-UT Statistical Machine Translation in NTCIR-9 PatentMT

@inproceedings{Sudoh2011NTTUTSM,
  title={NTT-UT Statistical Machine Translation in NTCIR-9 PatentMT},
  author={Katsuhito Sudoh and Kevin Duh and Hajime Tsukada and Masaaki Nagata and Xianchao Wu and Takuya Matsuzaki and Jun'ichi Tsujii},
  booktitle={NTCIR},
  year={2011}
}
This paper describes details of the NTT-UT system in NTCIR9 PatentMT task. One of its key technology is system combination; the final translation hypotheses are chosen from n-bests by different SMT systems in a Minimum Bayes Risk (MBR) manner. Each SMT system includes different technology: syntactic pre-ordering, forest-to-string translation, and using external resources for domain adaptation and target language modeling. 
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