10 th Annual Conference of the International Speech
Sylvain Raybaud, David Langlois, Iterative Sentence-Pair, Dagen Wang, Bhuvana Ramabhadran · 2009
We present in this paper a twofold contribution to Machine Translation. First, we present a method to automatically build training and testing corpora for confidence measures 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 outperform by 14% (absolute) our best single word-level confidence measure, and that sentence-level combination of confidence measures produces meaningful scores.