NTT-UT Statistical Machine Translation in NTCIR-9 PatentMT
Katsuhito Sudoh, Kevin Duh, Hajime Tsukada, Masaaki Nagata, Xianchao Wu, Takuya Matsuzaki, Jun’ichi Tsujii · NTCIR · 2011
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.