KpopMT: 面向Kpop粉丝圈的带术语翻译数据集
KpopMT: Translation Dataset with Terminology for Kpop Fandom
AI总结：
针对社会群体内独特术语带来的翻译空白，研究团队选取Kpop粉丝圈为切入点，构建了带术语标注的KpopMT翻译数据集，评估发现现有翻译系统得分偏低，该数据集已公开。
摘要：
机器从现有语料库中学习，而人类具备建立并接受新语言系统的独特能力，这使得人类会在社会群体中形成独特的语言体系。与之相应，我们关注到社会群体内的翻译挑战仍存在空白——群体内部成员会使用独特的术语。我们提出KpopMT数据集，以填补这一空白，实现精准的术语翻译；鉴于Kpop粉丝圈的全球热度，我们选取它作为社会群体的研究切入点。专业译者为1000条韩语帖子和评论提供了英文翻译，每条都标注了社会群体语言体系中的特定术语。我们在KpopMT上评估了包括GPT模型在内的现有翻译系统，以找出其失败案例。结果显示整体得分较低，凸显了在翻译中体现群体特定术语和风格的难度。我们已将KpopMT公开。
英文摘要：
While machines learn from existing corpora, humans have the unique capability to establish and accept new language systems. This makes human form unique language systems within social groups. Aligning with this, we focus on a gap remaining in addressing translation challenges within social groups, where in-group members utilize unique terminologies. We propose KpopMT dataset, which aims to fill this gap by enabling precise terminology translation, choosing Kpop fandom as an initiative for social groups given its global popularity. Expert translators provide 1k English translations for Korean posts and comments, each annotated with specific terminology within social groups' language systems. We evaluate existing translation systems including GPT models on KpopMT to identify their failure cases. Results show overall low scores, underscoring the challenges of reflecting group-specific terminologies and styles in translation. We make KpopMT publicly available.
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。
