Rapid development of Large Language Models (LLMs) and similar automated approaches for translation tasks is increasingly affecting the landscape of translation technologies. As concerns about the outsourcing of translator work to these automated translation tools grow, it becomes increasingly crucial to gather insights from the translation community directly. To this end, we conduct an interview study with 19 professional translators working across 11 languages and 11 domains to understand their perspectives, experiences, and concerns with using translation technologies in their work. We find that translators are cautious when incorporating new tools into their workflow, with several expressing concerns machine translation (MT) and LLMs are infringing on the necessary human aspects and verification steps of translation, worried that these tools have potential for harmful downstream effects due to compromising the human aspect of translation work. These findings demonstrate the need to develop translation technologies that directly serve translators' needs rather than replacing human translation. This can be done by focusing more on the assistive, rather than the automating aspects of these tools.

翻译：大型语言模型（LLMs）及类似自动化翻译方法的快速发展正日益改变翻译技术的格局。随着对译者工作被外包给这些自动化翻译工具的担忧加剧，从翻译社群直接获取见解变得愈发关键。为此，我们对19名专业译者开展访谈研究，这些译者涵盖11种语言与11个领域，旨在了解他们在工作中使用翻译技术的视角、体验与关切。研究发现，译者在将新工具融入工作流程时持谨慎态度，多人对机器翻译（MT）和LLMs正在侵蚀翻译必要的人本因素与验证环节表示担忧，认为这些工具因削弱翻译工作的人本属性而可能产生有害的下游影响。这些发现表明，需开发直接服务于译者需求而非取代人工翻译的翻译技术，其实现路径应更侧重于工具的辅助性而非自动化特性。