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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 800-sentence test set extracted from the Penn-II Treebank.</abstract>
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%0 Conference Proceedings
%T Multi-Engine Machine Translation by Recursive Sentence Decomposition
%A Mellebeek, Bart
%A Owczarzak, Karolina
%A Van Genabith, Josef
%A Way, Andy
%S Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers
%D 2006
%8 aug 8 12
%I Association for Machine Translation in the Americas
%C Cambridge, Massachusetts, USA
%F mellebeek-etal-2006-multi
%X 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 800-sentence test set extracted from the Penn-II Treebank.
%U https://aclanthology.org/2006.amta-papers.13
%P 110-118

Markdown (Informal)

[Multi-Engine Machine Translation by Recursive Sentence Decomposition](https://aclanthology.org/2006.amta-papers.13) (Mellebeek et al., AMTA 2006)

• Multi-Engine Machine Translation by Recursive Sentence Decomposition (Mellebeek et al., AMTA 2006)

ACL

• Bart Mellebeek, Karolina Owczarzak, Josef Van Genabith, and Andy Way. 2006. Multi-Engine Machine Translation by Recursive Sentence Decomposition. In Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 110–118, Cambridge, Massachusetts, USA. Association for Machine Translation in the Americas.