International Workshop on Spoken Language Translation (IWSLT) 2012

Hong Kong
December 6-7, 2012

The NAIST Machine Translation System for IWSLT2012

Graham Neubig, Kevin Duh, Masaya Ogushi, Takatomo Kano, Tetsuo Kiso, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura

Graduate School of Information Science, Nara Institute of Science and Technology, Japan

This paper describes the NAIST statistical machine translation system for the IWSLT2012 Evaluation Campaign. We participated in all TED Talk tasks, for a total of 11 languagepairs. For all tasks, we use the Moses phrase-based decoder and its experiment management system as a common base for building translation systems. The focus of our work is on performing a comprehensive comparison of a multitude of existing techniques for the TED task, exploring issues such as out-of-domain data filtering, minimum Bayes risk decoding, MERT vs. PRO tuning, word alignment combination, and morphology.

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Bibliographic reference.  Neubig, Graham / Duh, Kevin / Ogushi, Masaya / Kano, Takatomo / Kiso, Tetsuo / Sakti, Sakriani / Toda, Tomoki / Nakamura, Satoshi (2012): "The NAIST machine translation system for IWSLT2012", In IWSLT-2012, 54-60.