Machine translation models are still inappropriate for translating chats, despite the popularity of translation software and plug-in applications. The complexity of dialogues poses significant challenges and can hinder crosslingual communication. Instead of pursuing a flawless translation system, a more practical approach would be to issue warning messages about potential mistranslations to reduce confusion. However, it is still unclear how individuals perceive these warning messages and whether they benefit the crowd. This paper tackles to investigate this question and demonstrates the warning messages' contribution to making chat translation systems effective.

翻译：尽管翻译软件与插件应用日益普及，机器翻译模型在处理聊天对话时仍存在明显不足。对话的复杂性带来了重大挑战，可能阻碍跨语言交流的有效进行。相较于追求完美的翻译系统，更具实践意义的方案是通过发布潜在误译警告信息来降低理解偏差。然而，目前学界对于个体如何感知此类警告信息及其是否真正惠及大众仍缺乏明确认知。本文针对该问题展开研究，论证了警告信息对提升聊天翻译系统效能的积极作用。