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        <dateIssued>2012-dec 6-7</dateIssued>
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            <title>Proceedings of the 9th International Workshop on Spoken Language Translation: Papers</title>
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    <abstract>Adaptation for Machine Translation has been studied in a variety of ways, using an ideal scenario where the training data can be split into ”out-of-domain” and ”in-domain” corpora, on which the adaptation is based. In this paper, we consider a more realistic setting which does not assume the availability of any kind of ”in-domain” data, hence the name ”any-text translation”. In this context, we present a new approach to contextually adapt a translation model onthe-fly, and present several experimental results where this approach outperforms conventionaly trained baselines. We also present a document-level contrastive evaluation whose results can be easily interpreted, even by non-specialists.</abstract>
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%0 Conference Proceedings
%T Towards contextual adaptation for any-text translation
%A Gong, Li
%A Max, Aurélien
%A Yvon, François
%S Proceedings of the 9th International Workshop on Spoken Language Translation: Papers
%D 2012
%8 dec 6 7
%C Hong Kong, Table of contents
%F gong-etal-2012-towards
%X Adaptation for Machine Translation has been studied in a variety of ways, using an ideal scenario where the training data can be split into ”out-of-domain” and ”in-domain” corpora, on which the adaptation is based. In this paper, we consider a more realistic setting which does not assume the availability of any kind of ”in-domain” data, hence the name ”any-text translation”. In this context, we present a new approach to contextually adapt a translation model onthe-fly, and present several experimental results where this approach outperforms conventionaly trained baselines. We also present a document-level contrastive evaluation whose results can be easily interpreted, even by non-specialists.
%U https://aclanthology.org/2012.iwslt-papers.20
%P 292-299

Markdown (Informal)

[Towards contextual adaptation for any-text translation](https://aclanthology.org/2012.iwslt-papers.20) (Gong et al., IWSLT 2012)

• Towards contextual adaptation for any-text translation (Gong et al., IWSLT 2012)

ACL

• Li Gong, Aurélien Max, and François Yvon. 2012. Towards contextual adaptation for any-text translation. In Proceedings of the 9th International Workshop on Spoken Language Translation: Papers, pages 292–299, Hong Kong, Table of contents.