arXiv — NLP / Computation & Language · · 3 min read

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

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Computer Science > Computation and Language

arXiv:2605.21135 (cs)
[Submitted on 20 May 2026]

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

View a PDF of the paper titled Smarter edits? Post-editing with error highlights and translation suggestions, by Fleur V.J. van Tellingen and 6 other authors
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Abstract: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.
Comments: Accepted at EAMT 2026
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2605.21135 [cs.CL]
  (or arXiv:2605.21135v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2605.21135
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Alina Karakanta [view email]
[v1] Wed, 20 May 2026 13:09:51 UTC (860 KB)
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