Automatic Detection of Translated Text and its Impact on Machine Translation

@inproceedings{Kurokawa2009AutomaticDO,
  title={Automatic Detection of Translated Text and its Impact on Machine Translation},
  author={David Kurokawa and Cyril Goutte and Pierre Isabelle},
  year={2009}
}
We investigate the possibility of automatically detecting whether a piece of text is an original or a translation. On a large parallel English-French corpus where reference information is available, we find that this is possible with around 90% accuracy. We further study the implication this has on Machine Translation performance. After separating our corpus according to translation direction, we train direction-specific phrase-based MT systems and show that they yield improved translation… CONTINUE READING
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