用质量评估辅助机器翻译校对，能显著提升校对速度。
Introducing Quality Estimation to Machine Translation Post-editing Workflow: An Empirical Study on Its Usefulness
- 在中英翻译校对中引入句子级质量评估
- 质量评估使校对时间明显减少
- 适合希望提升校对效率的译者使用
本初步研究探讨了句子级质量评估（QE）在英汉机器翻译校对（MTPE）中的实用性，重点关注其对校对速度及学生译者感知的影响。同时考察了QE与机器翻译质量、译者经验之间的交互效应。结果表明，QE显著缩短了校对时间；交互效应不显著，说明QE在中高质机器翻译输出及不同水平学生译者中均能稳定提升校对效率。除了识别潜在问题段落外，QE还具备验证译者判断和复核译文的功能。但访谈数据提示，错误的QE可能阻碍校对流程。该研究为QE的优势与局限提供了新见解，有助于其更有效融入MTPE工作流以提升译者生产力。
原文摘要 · Abstract (English)
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 between QE and MT quality, as well as between QE and translation expertise. The findings reveal that QE significantly reduces post-editing time. The examined interaction effects were not significant, suggesting that QE consistently improves MTPE efficiency across medium- and high-quality MT outputs and among student translators with varying levels of expertise. In addition to indicating potentially problematic segments, QE serves multiple functions in MTPE, such as validating translators' evaluations of MT quality and enabling them to double-check translation outputs. However, interview data suggest that inaccurate QE may hinder post-editing processes. This research provides new insights into the strengths and limitations of QE, facilitating its more effective integration into MTPE workflows to enhance translators' productivity.
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