Corpus ID: 3196377

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 M. Nagata and Xianchao Wu and Takuya Matsuzaki and Jun'ichi Tsujii},
  booktitle={NTCIR},
  year={2011}
}
  • Katsuhito Sudoh, Kevin Duh, +4 authors Jun'ichi Tsujii
  • Published in NTCIR 2011
  • Computer Science
  • This paper describes details of the NTT-UT system in NTCIR- 9 PatentMT task. One of its key technology is system com- bination; 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 tech- nology: syntactic pre-ordering, forest-to-string translation, and using external resources for domain adaptation and tar- get language modeling. 

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