2012.iwslt-evaluation.5@ACL

#1 The NAIST machine translation system for IWSLT2012 [PDF] [Copy] [Kimi¹]

Authors: Graham Neubig ; Kevin Duh ; Masaya Ogushi ; Takamoto Kano ; Tetsuo Kiso ; Sakriani Sakti ; Tomoki Toda ; Satoshi Nakamura

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 language-pairs. 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.