In this paper, we describe the system and approach used by Institute for Infocomm Research (I2R) for IWSLT 2010 spoken language translation evaluation campaign. We apply system combination on top of two kinds of statistical machine translation system, namely, phrase-based system and syntaxbased system. Experimental results show consistent improvements on DIALOG Task.
Cite as: Duan, X., Banchs, R.E., Lang, J., Xiong, D., Aw, A., Zhang, M., Li, H. (2010) I2r's machine translation system for IWSLT 2010. Proc. International Workshop on Spoken Language Translation (IWSLT 2010), 67-72
@inproceedings{duan10_iwslt, author={Xiangyu Duan and Rafael E. Banchs and Jun Lang and Deyi Xiong and Aiti Aw and Min Zhang and Haizhou Li}, title={{I2r's machine translation system for IWSLT 2010}}, year=2010, booktitle={Proc. International Workshop on Spoken Language Translation (IWSLT 2010)}, pages={67--72} }