Multi-Engine Machine Translation by Recursive Sentence Decomposition (2006)
| Venue: | In Proceedings of the 7th biennial conference of the Association for Machine Translation in the Americas |
| Citations: | 5 - 2 self |
BibTeX
@INPROCEEDINGS{Mellebeek06multi-enginemachine,
author = {Bart Mellebeek and Josef Van Genabith},
title = {Multi-Engine Machine Translation by Recursive Sentence Decomposition},
booktitle = {In Proceedings of the 7th biennial conference of the Association for Machine Translation in the Americas},
year = {2006},
pages = {110--118}
}
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Abstract
In this paper, we present a novel approach to combine the outputs of multiple MT engines into a consensus translation. In contrast to previous Multi-Engine Machine Translation (MEMT) techniques, we do not rely on word alignments of output hypotheses, but prepare the input sentence for multi-engine processing. We do this by using a recursive decomposition algorithm that produces simple chunks as input to the MT engines. A consensus translation is produced by combining the best chunk translations, selected through majority voting, a trigram language model score and a confidence score assigned to each MT engine. We report statistically significant relative improvements of up to 9 % BLEU score in experiments (English→Spanish) carried out on an 800sentence test set extracted from the Penn-II Treebank. 1
