测试ChatGPT翻译阿拉伯咒骂语的细微差别，发现表现仍不理想。
Can ChatGPT capture swearing nuances? Evidence from translating Arabic oaths
- 用30个阿拉伯咒骂语对比ChatGPT与人工翻译的差异。
- 发现模型在宗教、文化层面存在明显信息缺失。
- 适合关注语言文化差异与AI局限性的研究者阅读。
本研究旨在回答一个核心问题：ChatGPT能否捕捉咒骂语的细微差别？通过实证分析，考察ChatGPT将30个阿拉伯咒骂表达翻译为英文的能力。这些表达源自文献，先由ChatGPT翻译，再与人类翻译进行对比，分析其未填补的差距类型，包括宗教性缺失、文化性缺失、宗教与文化双重缺失、无缺失、使用非咒骂成分、冗余及未能保留阿拉伯语符号变音标记。结果显示，ChatGPT对咒骂语的翻译仍不令人满意，揭示了未来需进一步改进模型，并纳入更多阿拉伯语咒骂语、语用细节、仪式与实践数据以提升训练效果。
原文摘要 · Abstract (English)
This study sets out to answer one major question: Can ChatGPT capture swearing nuances? It presents an empirical study on the ability of ChatGPT to translate Arabic oath expressions into English. 30 Arabic oath expressions were collected from the literature. These 30 oaths were first translated via ChatGPT and then analyzed and compared to the human translation in terms of types of gaps left unfulfilled by ChatGPT. Specifically, the gaps involved are: religious gap, cultural gap, both religious and cultural gaps, no gap, using non-oath particles, redundancy and noncapturing of Arabic script diacritics. It concludes that ChatGPT translation of oaths is still much unsatisfactory, unveiling the need of further developments of ChatGPT, and the inclusion of Arabic data on which ChatGPT should be trained including oath expressions, oath nuances, rituals, and practices.
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