什么时候是墙，什么时候是穆罗？--提取控制词汇选择的规则
When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection
摘要：
学习词汇项目之间的细粒度区别是学习一门新语言的关键挑战。例如，名词“墙”在西班牙语中有不同的词汇表现形式-“墙”指的是室内墙，而“muro”指的是外墙。然而，这种词汇差异对非母语学习者来说可能并不明显，除非以这种方式解释这种差异。在这项工作中，我们提出了一种方法，自动识别细粒度的词汇区别，并提取简洁的描述，解释这些区别在人类和机器可读的格式。我们确认这些提取的描述在两种语言，西班牙语和希腊语，在那里我们用它们来教非母语的语言学习设置的质量时，翻译成不同的可能的翻译一个给定的模糊的单词。代码和数据在这里公开发布（https：//github.com/Aditi138/LexSelection）
英文摘要：
Learning fine-grained distinctions between vocabulary items is a key challenge in learning a new language. For example, the noun "wall" has different lexical manifestations in Spanish -- "pared" refers to an indoor wall while "muro" refers to an outside wall. However, this variety of lexical distinction may not be obvious to non-native learners unless the distinction is explained in such a way. In this work, we present a method for automatically identifying fine-grained lexical distinctions, and extracting concise descriptions explaining these distinctions in a human- and machine-readable format. We confirm the quality of these extracted descriptions in a language learning setup for two languages, Spanish and Greek, where we use them to teach non-native speakers when to translate a given ambiguous word into its different possible translations. Code and data are publicly released here (https://github.com/Aditi138/LexSelection)
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。
