Input sentence splitting and translating

Authors:
Takao Doi;Eiichiro Sumita
Affiliations:
ATR Spoken Language Translation Research Laboratories, Kyoto, Japan;ATR Spoken Language Translation Research Laboratories, Kyoto, Japan
Venue:
HLT-NAACL-PARALLEL '03 Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3
Year:
2003

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Abstract

We propose a method to split and translate input sentences for speech translation in order to overcome the long sentence problem. This approach is based on three criteria used to judge the goodness of translation results. The criteria utilize the output of an MT system only and assumes neither a particular language nor a particular MT approach. In an experiment with an EBMT system, in which prior methods cannot work or work badly, the proposed split-and-translate method achieves much better results in translation quality.