International Workshop on Spoken Language Translation (IWSLT) 2009

Tokyo, Japan
December 1-2, 2009

I2R's Machine Translation System for IWSLT 2009

Xiangyu Duan, Deyi Xiong, Hui Zhang, Min Zhang, Haizhou Li

Institute for Infocomm Research, Singapore

In this paper, we describe the system and approach used by the Institute for Infocomm Research (I2R) for the IWSLT 2009 spoken language translation evaluation campaign. Two kinds of machine translation systems are applied, namely, phrase-based machine translation system and syntax-based machine translation system. To test syntax-based machine translation system on spoken language translation, variational systems are explored. On top of both phrase-based and syn-tax-based single systems, we further use rescoring method to improve the individual system performance and use system combination method to combine the strengths of the different individual systems. Rescoring is applied on each single sys-tem output, and system combination is applied on all rescor-ing outputs. Finally, our system combination framework shows better performance in Chinese-English BTEC task.

Full Paper     Presentation (pdf)

Bibliographic reference.  Duan, Xiangyu / Xiong, Deyi / Zhang, Hui / Zhang, Min / Li, Haizhou (2009): "I2r's machine translation system for IWSLT 2009", In IWSLT-2009, 50-54.