The Use of a Hybrid Machine Translation System in China's Government Portals

Authors:
Huo Yuehong;Wang Chunyu
Affiliations:
-;-
Venue:
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Year:
2008

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Abstract

This paper introduces a hybrid Machine Translation system which can be used to translate natural languages' sentences in government portals by exploiting both a translation memory and a statistical-based translation model. Our study shows that an automatically derived translation memory can be used within a statistical framework to often find translations of higher probability than those which use solely a statistical model. This hybrid Machine Translation system can be used in China's government portals to help overcome the language barrier which causes the non-Chinese speakers the limited sharing of information and the low accessibility to the services.