PragAlign: Evidence-Sensitive Reply Assistance Across Chinese and Japanese Appropriateness Judgments
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Abstract (arXiv)
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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References · 7
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
- 2025Qwen3 Technical Reportcited by 8,820
- 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,418
- 2018Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfercited by 211
- 2023Clarify When Necessary: Resolving Ambiguity Through Interaction with LMscited by 98
- 2023NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violationcited by 24
- 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Modelscited by 24
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