cs.CL提交于 2026-10-07已译

高风险应急消息中的生成式 AI 翻译

Generative AI translations in high-stakes emergency messaging

Nune Ayvazan · Anthony Pym · Yu Hao

中文摘要

应急消息（如极端天气通报、地震指令）具有高风险性，翻译错误可能导致严重后果，因此通常不建议直接采用机器翻译或生成式人工智能。然而，初次翻译所节省的时间可以投入更多资源到修订与审定流程，并覆盖更多目标语言。一项使用生成式 AI 将地震指令文本从英语翻译为中文和西班牙语的实验表明，借助针对特定话语的提示（discourse-specific prompts），译文的可理解性与可操作性可得到显著提升，但翻译人员仍可能对其缺乏信任。人工修订仍然必要，既用于发现错误，也出于伦理上的考虑——必须由特定主体对这类消息中的任何错误或延误承担责任。

关键要点

01应急消息（如极端天气、地震指令）翻译错误代价高，直接机翻/生成式 AI 翻译不被推荐
02生成式 AI 用于初次翻译可节省时间，将资源转向修订、审定并覆盖更多语种
03针对话语特性的提示（discourse-specific prompts）能显著提升中、西语译文的可理解性与可操作性
04译文仍难以让译者充分信任，需人工修订以发现错误
05应急消息涉及伦理责任归属，任何错误或延误须由具体责任人承担

解读

尚无解读。

原始英文摘要

arXiv:2610.08601v1 Announce Type: new Abstract: Emergency messaging such as extreme-weather reports and earthquake instructions can involve high stakes, to the extent that translation errors can lead to tragic consequences. The use of machine translation or generative artificial intelligence might therefore not be recommended. On the other hand, time savings in the initial translation can allow greater investments of resources in revision and authorization processes, as well as a wider range of target languages. An experiment with generative AI translations of an earthquake instruction text from English into Chinese and Spanish shows that use of discourse-specific prompts can considerably improve understandability and actionability, although the translations may still not be trusted by translators. Human revision is still required, not only to detect errors but also because of the ethical need for someone to take responsibility for any errors or delays in such messaging.