mlsanityData to 7 Oct 2026

Smarter edits? Post-editing with error highlights and translation suggestions

arXiv 2605.21135 ↗First posted 20 May 2026cs.CLcited by 0

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Abstract (arXiv)

As MT quality increases, interest in enhanced post-editing features such as QE-derived error highlights is growing, yet evidence for their usefulness remains limited. In this work, we explore the usefulness of LLM-derived error highlights and correction suggestions based on automatic post-editing (APE). We conduct a study where professional translators (En-Nl) post-edit translations using APE error highlights and correction suggestions and compare productivity, quality and user experience to regular PE and PE with QE-derived highlights. While no condition yielded productivity or quality gains compared to regular PE, APE highlights were better received than QE-derived highlights, and correction suggestions improved overall user experience.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 13 of its 38 references that are in the map. First posted on arXiv 20 May 2026.

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13 of 38 references.

References · 13

  1. 2023Large Language Models Are State-of-the-Art Evaluators of Translation Qualitycited by 416
  2. 2023xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detectioncited by 260
  3. 2023GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4cited by 143
  4. 2024Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translationcited by 62
  5. 2023Leveraging GPT-4 for Automatic Translation Post-Editingcited by 56
  6. 2019OpenKiwi: An Open Source Framework for Quality Estimationcited by 49
  7. 2024(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Textscited by 49
  8. 2024Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Textscited by 31
  9. 2024xTower: A Multilingual LLM for Explaining and Correcting Translation Errorscited by 17
  10. 2025QE4PE: Word-level Quality Estimation for Human Post-Editingcited by 6
  11. 2025Are AI agents the new machine translation frontier? Challenges and opportunities of single- and multi-agent systems for multilingual digital communicationcited by 4
  12. 2025Giving the Old a Fresh Spin: Quality Estimation-Assisted Constrained Decoding for Automatic Post-Editingcited by 3
1 more
  1. 2025Introducing Quality Estimation to Machine Translation Post-editing Workflow: An Empirical Study on Its Usefulnesscited by 2

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