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        <title>Exploiting Document-Level Context for Data-Driven Machine Translation</title>
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    <abstract>This paper presents a method for exploiting document-level similarity between the documents in the training corpus for a corpus-driven (statistical or example-based) machine translation system and the input documents it must translate. The method is simple to implement, efficient (increases the translation time of an example-based system by only a few percent), and robust (still works even when the actual document boundaries in the input text are not known). Experiments on French-English and Arabic-English showed relative gains over the same system without using document-level similarity of up to 7.4% and 5.4%, respectively, on the BLEU metric.</abstract>
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%0 Conference Proceedings
%T Exploiting Document-Level Context for Data-Driven Machine Translation
%A Brown, Ralf
%S Proceedings of the 8th Conference of the Association for Machine Translation in the Americas: Research Papers
%D 2008
%8 oct 21 25
%I Association for Machine Translation in the Americas
%C Waikiki, USA
%F brown-2008-exploiting
%X This paper presents a method for exploiting document-level similarity between the documents in the training corpus for a corpus-driven (statistical or example-based) machine translation system and the input documents it must translate. The method is simple to implement, efficient (increases the translation time of an example-based system by only a few percent), and robust (still works even when the actual document boundaries in the input text are not known). Experiments on French-English and Arabic-English showed relative gains over the same system without using document-level similarity of up to 7.4% and 5.4%, respectively, on the BLEU metric.
%U https://aclanthology.org/2008.amta-papers.2
%P 46-55

Markdown (Informal)

[Exploiting Document-Level Context for Data-Driven Machine Translation](https://aclanthology.org/2008.amta-papers.2) (Brown, AMTA 2008)

• Exploiting Document-Level Context for Data-Driven Machine Translation (Brown, AMTA 2008)

ACL

• Ralf Brown. 2008. Exploiting Document-Level Context for Data-Driven Machine Translation. In Proceedings of the 8th Conference of the Association for Machine Translation in the Americas: Research Papers, pages 46–55, Waikiki, USA. Association for Machine Translation in the Americas.