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        <title>Multimodal Quality Estimation for Machine Translation</title>
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            <title>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics</title>
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            <namePart type="given">Dan</namePart>
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    <abstract>We propose approaches to Quality Estimation (QE) for Machine Translation that explore both text and visual modalities for Multimodal QE. We compare various multimodality integration and fusion strategies. For both sentence-level and document-level predictions, we show that state-of-the-art neural and feature-based QE frameworks obtain better results when using the additional modality.</abstract>
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%0 Conference Proceedings
%T Multimodal Quality Estimation for Machine Translation
%A Okabe, Shu
%A Blain, Frédéric
%A Specia, Lucia
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F okabe-etal-2020-multimodal
%X We propose approaches to Quality Estimation (QE) for Machine Translation that explore both text and visual modalities for Multimodal QE. We compare various multimodality integration and fusion strategies. For both sentence-level and document-level predictions, we show that state-of-the-art neural and feature-based QE frameworks obtain better results when using the additional modality.
%R 10.18653/v1/2020.acl-main.114
%U https://aclanthology.org/2020.acl-main.114
%U https://doi.org/10.18653/v1/2020.acl-main.114
%P 1233-1240

Markdown (Informal)

[Multimodal Quality Estimation for Machine Translation](https://aclanthology.org/2020.acl-main.114) (Okabe et al., ACL 2020)

• Multimodal Quality Estimation for Machine Translation (Okabe et al., ACL 2020)

ACL

• Shu Okabe, Frédéric Blain, and Lucia Specia. 2020. Multimodal Quality Estimation for Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 1233–1240, Online. Association for Computational Linguistics.