ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Efficient combination of confidence measures for machine translation

Sylvain Raybaud, David Langlois, Kamel Smaïli

We present in this paper a twofold contribution to Confidence Measures for Machine Translation. First, in order to train and test confidence measures, we present a method to automatically build corpora containing realistic errors. Errors introduced into reference translation simulate classical machine translation errors (word deletion and word substitution), and are supervised by Wordnet. Second, we use SVM to combine original and classical confidence measures both at word- and sentence-level. We show that the obtained combination outperforms by 14% (absolute) our best single word-level confidence measure, and that combination of sentence-level confidence measures produces meaningful scores.

doi: 10.21437/Interspeech.2009-154

Cite as: Raybaud, S., Langlois, D., Smaïli, K. (2009) Efficient combination of confidence measures for machine translation. Proc. Interspeech 2009, 424-427, doi: 10.21437/Interspeech.2009-154

  author={Sylvain Raybaud and David Langlois and Kamel Smaïli},
  title={{Efficient combination of confidence measures for machine translation}},
  booktitle={Proc. Interspeech 2009},