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gsarti/qe4pe

Quality Estimation for Post-Editing (QE4PE) For more details on QE4PE, see our paper and our Github repository Gabriele Sarti • Vilém Zouhar • Grzegorz Chrupała • Ana Guerberof Arenas • Malvina Nissim • Arianna Bisazza Word-level quality estimation (QE) detects erroneous spans in machine translations, which can direct and facilitate human post-editing. While the accuracy of word-level QE systems has been assessed extensively, their usability and downstream influence on… See the full description on the dataset page: https://huggingface.co/datasets/gsarti/qe4pe.

Author / organizationgsarti
License (as declared)apache-2.0
Downloads786 (as reported by Hugging Face)
Likes4
Created28 September 2024
Last updated at source30 April 2025
machine-translationquality-estimationpost-editingtranslationbehavioral-datamultidimensional-quality-metricmqmcometqe
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  • 16 Oct 2026 Description: Quality Estimation for Post-Editing (QE4PE) For more details on QE4PE, see our paper and our Github repository Gabriele Sarti • Vilém Zouhar • Grzegorz Chrupała • Ana Guerberof Arenas • Malvina Nissim • Arianna Bisazza Word-level quality es → Quality Estimation for Post-Editing (QE4PE) For more details on QE4PE, see our paper and our Github repository Gabriele Sarti • Vilém Zouhar • Grzegorz Chrupała • Ana Guerberof Arenas • Malvina Nissim • Arianna Bisazza Word-level quality es

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