Minimum Bayes Risk decoding for BLEU
Nicola Ehling, Richard Zens, Hermann Ney · 2007
We present a Minimum Bayes Risk (MBR) decoder for statistical machine translation.The approach aims to minimize the expected loss of translation errors with regard to the BLEU score.We show that MBR decoding on N -best lists leads to an improvement of translation quality.We report the performance of the MBR decoder on four different tasks: the TC-STAR EPPS Spanish-English task 2006, the NIST Chinese-English task 2005 and the GALE Arabic-English and Chinese-English task 2006.The absolute improvement of the BLEU score is between 0.2% for the TC-STAR task and 1.1% for the GALE Chinese-English task.