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        <title>Evaluating Metrics for Document-context Evaluation in Machine Translation</title>
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        <namePart type="given">Vikas</namePart>
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            <title>Proceedings of the Eighth Conference on Machine Translation</title>
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            <namePart type="given">Philipp</namePart>
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    <abstract>We describe our submission of a new metric, SLIDE (Raunak et al., 2023), to the WMT 2023 metrics task. SLIDE is a reference-free quality-estimation metric that works by constructing a fixed sentence-length window over the documents in a test set, concatenating chunks and then sending them for scoring as a single unit by COMET (Rei et al, 2022). We find that SLIDE improves dramatically over its context-less counterpart on the two WMT22 evaluation campaigns (MQM and DA+SQM).</abstract>
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%0 Conference Proceedings
%T Evaluating Metrics for Document-context Evaluation in Machine Translation
%A Raunak, Vikas
%A Kocmi, Tom
%A Post, Matt
%Y Koehn, Philipp
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Monz, Christof
%S Proceedings of the Eighth Conference on Machine Translation
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F raunak-etal-2023-evaluating
%X We describe our submission of a new metric, SLIDE (Raunak et al., 2023), to the WMT 2023 metrics task. SLIDE is a reference-free quality-estimation metric that works by constructing a fixed sentence-length window over the documents in a test set, concatenating chunks and then sending them for scoring as a single unit by COMET (Rei et al, 2022). We find that SLIDE improves dramatically over its context-less counterpart on the two WMT22 evaluation campaigns (MQM and DA+SQM).
%R 10.18653/v1/2023.wmt-1.68
%U https://aclanthology.org/2023.wmt-1.68
%U https://doi.org/10.18653/v1/2023.wmt-1.68
%P 812-814

Markdown (Informal)

[Evaluating Metrics for Document-context Evaluation in Machine Translation](https://aclanthology.org/2023.wmt-1.68) (Raunak et al., WMT 2023)

• Evaluating Metrics for Document-context Evaluation in Machine Translation (Raunak et al., WMT 2023)

ACL

• Vikas Raunak, Tom Kocmi, and Matt Post. 2023. Evaluating Metrics for Document-context Evaluation in Machine Translation. In Proceedings of the Eighth Conference on Machine Translation, pages 812–814, Singapore. Association for Computational Linguistics.