从接受性到产出性：通过自动选择例句学习使用混淆词
From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences
摘要：
懂得如何恰当地使用词汇是提高语言能力的关键。以往的研究主要探讨在特定的语境下，学生如何从一组易混淆的词中选择正确的候选词。在本文中，我们更进一步，帮助学生学习在一个生产性的任务：句子翻译中适当地使用易混淆的单词。我们利用GiveMeExample系统来实现这一目标，该系统为每个令人困惑的单词提供例句。在本研究中，学生通过阅读例句来区分易混淆的单词，然后选择合适的单词来完成句子翻译任务。结果显示，学生在句子结构方面取得了实质性的进步。此外，高度熟练的学生更好地设法学习令人困惑的单词。鉴于第一语言对学习者的影响，我们进一步提出了提高建议句质量的有效途径。
英文摘要：
Knowing how to use words appropriately has been a key to improving language proficiency. Previous studies typically discuss how students learn receptively to select the correct candidate from a set of confusing words in the fill-in-the-blank task where specific context is given. In this paper, we go one step further, assisting students to learn to use confusing words appropriately in a productive task: sentence translation. We leverage the GiveMeExample system, which suggests example sentences for each confusing word, to achieve this goal. In this study, students learn to differentiate the confusing words by reading the example sentences, and then choose the appropriate word(s) to complete the sentence translation task. Results show students made substantial progress in terms of sentence structure. In addition, highly proficient students better managed to learn confusing words. In view of the influence of the first language on learners, we further propose an effective approach to improve the quality of the suggested sentences.
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。
