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        <title>Detecting Post-Edited References and Their Effect on Human Evaluation</title>
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    <name type="personal">
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    <abstract>This paper provides a quick overview of possible methods how to detect that reference translations were actually created by post-editing an MT system. Two methods based on automatic metrics are presented: BLEU difference between the suspected MT and some other good MT and BLEU difference using additional references. These two methods revealed a suspicion that the WMT 2020 Czech reference is based on MT. The suspicion was confirmed in a manual analysis by finding concrete proofs of the post-editing procedure in particular sentences. Finally, a typology of post-editing changes is presented where typical errors or changes made by the post-editor or errors adopted from the MT are classified.</abstract>
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%0 Conference Proceedings
%T Detecting Post-Edited References and Their Effect on Human Evaluation
%A Kloudová, Věra
%A Bojar, Ondřej
%A Popel, Martin
%Y Belz, Anya
%Y Agarwal, Shubham
%Y Graham, Yvette
%Y Reiter, Ehud
%Y Shimorina, Anastasia
%S Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F kloudova-etal-2021-detecting
%X This paper provides a quick overview of possible methods how to detect that reference translations were actually created by post-editing an MT system. Two methods based on automatic metrics are presented: BLEU difference between the suspected MT and some other good MT and BLEU difference using additional references. These two methods revealed a suspicion that the WMT 2020 Czech reference is based on MT. The suspicion was confirmed in a manual analysis by finding concrete proofs of the post-editing procedure in particular sentences. Finally, a typology of post-editing changes is presented where typical errors or changes made by the post-editor or errors adopted from the MT are classified.
%U https://aclanthology.org/2021.humeval-1.13
%P 114-119

Markdown (Informal)

[Detecting Post-Edited References and Their Effect on Human Evaluation](https://aclanthology.org/2021.humeval-1.13) (Kloudová et al., HumEval 2021)

• Detecting Post-Edited References and Their Effect on Human Evaluation (Kloudová et al., HumEval 2021)

ACL

• Věra Kloudová, Ondřej Bojar, and Martin Popel. 2021. Detecting Post-Edited References and Their Effect on Human Evaluation. In Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval), pages 114–119, Online. Association for Computational Linguistics.