跨语言交流中聊天翻译错误警告的调查
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication
AI总结：
本文调查聊天翻译中错误警告的感知与效用，证明警告信息有助于提升聊天翻译系统的有效性。
摘要：
尽管翻译软件和插件应用广受欢迎，机器翻译模型仍不适合用于翻译聊天内容。对话的复杂性带来了重大挑战，并可能阻碍跨语言交流。与其追求完美的翻译系统，更实际的做法是就可能出现的误译发出警告信息以减少困惑。然而，目前尚不清楚个人如何看待这些警告信息，以及它们是否对用户群体有益。本文旨在调查这一问题，并证明警告信息对提升聊天翻译系统有效性的贡献。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
