International Workshop on Spoken Language Translation (IWSLT) 2012

Hong Kong
December 6-7, 2012

The HIT-LTRC Machine Translation System for IWSLT 2012

Xiaoning Zhu, Yiming Cui, Conghui Zhu, Tiejun Zhao, Hailong Cao

Language Technology Research Center, Harbin Institute of Technology, China

In this paper, we describe HIT-LTRC's participation in the IWSLT 2012 evaluation campaign. In this year, we took part in the Olympics Task which required the participants to translate Chinese to English with limited data.
    Our system is based on Moses[1], which is an open source machine translation system. We mainly used the phrase-based models to carry out our experiments, and factored-based models were also performed in comparison. All the involved tools are freely available.
    In the evaluation campaign, we focus on data selection, phrase extraction method comparison and phrase table combination.

Full Paper    Presentation

Bibliographic reference.  Zhu, Xiaoning / Cui, Yiming / Zhu, Conghui / Zhao, Tiejun / Cao, Hailong (2012): "The HIT-LTRC machine translation system for IWSLT 2012", In IWSLT-2012, 77-80.