Analyzing Learner Understanding of Novel L2 Vocabulary
Analyzing Learner Understanding of Novel L2 Vocabulary
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分析学习者对新的 L2 词汇的理解
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Jason Eisner
中科院分区：
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作者：
Rebecca Knowles;Adithya Renduchintala;Philipp Koehn;Jason Eisner
在这项工作中，我们探讨了学习者如何在母语背景下推断第二语言名词的意义。出于对建立语言学习互动工具的兴趣，我们收集了三个猜词任务的数据，分析了它们的难度，并探讨了初学者犯的错误类型。我们训练了一个对数线性模型来预测我们的受试者在不同语境下对单词含义的猜测。模型的预测与受试者的表现有很好的相关性，我们提供了对人类和模型表现的定量和定性分析。
In this work, we explore how learners can infer second-language noun meanings in the context of their native language. Motivated by an interest in building interactive tools for language learning, we collect data on three word-guessing tasks, analyze their difficulty, and explore the types of errors that novice learners make. We train a log-linear model for predicting our subjects’ guesses of word meanings in varying kinds of contexts. The model’s predictions correlate well with subject performance, and we provide quantitative and qualitative analyses of both human and model performance.