PragAlign提升中日对话回复的得体性判断，兼顾语言与文化差异。
PragAlign: Evidence-Sensitive Reply Assistance Across Chinese and Japanese Appropriateness Judgments
- 分步处理上下文与澄清请求，更精准判断回复是否恰当。
- 中文评估中PragAlign显著优于其他方法，日文评估中最高获得首选率。
- 发现中日共有的判断模式，适合跨文化对话系统研发者参考。
多语言场景下的回复辅助需要语言能力和文化情境判断力。我们提出PragAlign，将上下文理解与选择性澄清分离，并与Direct和Rule方法对比评估。九名母语为中文的评测者对中文材料打分，三名母语为日语的评测者对对应日文版本打分。中文评估中，PragAlign排名显著优于两个基线；日文评估中，Direct平均排名最低，PragAlign获得最高首选率，整体差异不显著。在10个情景中有5个情景两组选出相同最优方案，其中4个均为PragAlign。结果揭示了中日共有的及语言特异的判断模式，为支持语言与文化理解的回复辅助设计提供依据。
原文摘要 · Abstract (English)
Reply assistance in multilingual settings requires linguistic competence and culturally situated judgments of appropriateness. We present PragAlign, which separates context reading from selective clarification, and evaluate it alongside Direct and Rule. Nine native Chinese speakers judged Chinese materials, while three native Japanese speakers judged matched Japanese versions. In the Chinese evaluation, PragAlign received significantly better ranks than both baselines. In the Japanese evaluation, Direct had the lowest mean rank, PragAlign had the highest top-rank rate, and the omnibus difference was not significant. The groups selected the same top condition in 5 of 10 scenarios, including four shared PragAlign selections. The results identify shared and language-specific judgment patterns and inform reply assistance designed to support linguistic and cultural understanding.
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