arXiv:2604.01410cs.CL2026-04

提出新方法划分翻译过程中的自动与反思阶段

Assessing Pause Thresholds for empirical Translation Process Research

  • 基于五种方法对比,提出计算翻译单元断点的新算法
  • 通过实证分析验证新方法能更准确区分不同翻译阶段
  • 适合研究翻译认知过程或人机交互的学者参考

文本生成(包括翻译)以连续打字段落形式进行,其间穿插按键停顿。通常认为快速打字反映自动化翻译,而较长停顿则表明存在翻译困难或认知瓶颈。本文回顾了关于确定停顿阈值以区分自动化与反思性翻译过程的长期讨论(O'Brien, 2006;Alves and Vale, 2009;Timarova et al., 2011;Dragsted and Carl, 2013;Lacruz et al., 2014;Kumpulainen, 2015;Heilmann and Neumann, 2016),比较了五种计算停顿阈值的方法,并提出并评估了一种新的生产单元断点计算方法。

原文摘要 · Abstract (English)

Text production (and translations) proceeds in the form of stretches of typing, interrupted by keystroke pauses. It is often assumed that fast typing reflects unchallenged/automated translation production while long(er) typing pauses are indicative of translation problems, hurdles or difficulties. Building on a long discussion concerning the determination of pause thresholds that separate automated from presumably reflective translation processes (O'Brien, 2006; Alves and Vale, 2009; Timarova et al., 2011; Dragsted and Carl, 2013; Lacruz et al., 2014; Kumpulainen, 2015; Heilmann and Neumann 2016), this paper compares five approaches for computing these pause thresholds, and suggest and evaluate a novel method for computing Production Unit Breaks.

翻译研究行为分析认知建模

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。