CLIX: 习语的跨语言解释
CLIX: Cross-Lingual Explanations of Idiomatic Expressions
AI总结：
研究提出CLIX任务，探讨NLP模型在生成习语跨语言解释中的能力，发现大语言模型有潜力，但需进一步解决错误分析中的关键挑战。
摘要：
自动定义生成系统已被提出以支持语言学习者的词汇扩展。这些系统的成功主要受阻于学习者难以理解定义，尤其是当涉及不熟悉词汇和语法或非标准语言时。为解决这些问题，我们提出CLIX任务，即习语的跨语言解释。我们探索了当前NLP模型在此任务中的能力，并观察到尽管仍具挑战性，但大语言模型显示出前景。最后，我们进行了详细的错误分析，以突出在将这些系统可靠地整合到教育工具中之前需要解决的关键挑战。
英文摘要：
Automated definition generation systems have been proposed to support vocabulary expansion for language learners. The main barrier to the success of these systems is that learners often struggle to understand definitions due to the presence of potentially unfamiliar words and grammar, particularly when non-standard language is involved. To address these challenges, we propose CLIX, the task of Cross-Lingual explanations of Idiomatic eXpressions. We explore the capabilities of current NLP models for this task, and observe that while it remains challenging, large language models show promise. Finally, we perform a detailed error analysis to highlight the key challenges that need to be addressed before we can reliably incorporate these systems into educational tools.
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。
