Japanese Lexical Complexity for Non-Native Readers: A New Dataset

Yusuke Ide, Masato Mita, Adam Nohejl, Hiroki Ouchi, Taro Watanabe
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引用次数: 1

Abstract

Lexical complexity prediction (LCP) is the task of predicting the complexity of words in a text on a continuous scale. It plays a vital role in simplifying or annotating complex words to assist readers.To study lexical complexity in Japanese, we construct the first Japanese LCP dataset. Our dataset provides separate complexity scores for Chinese/Korean annotators and others to address the readers’ L1-specific needs. In the baseline experiment, we demonstrate the effectiveness of a BERT-based system for Japanese LCP.
非母语读者的日语词汇复杂性:一个新的数据集
词汇复杂性预测(LCP)是在连续尺度上预测文本中单词的复杂程度。它在简化或注释复杂单词以帮助读者方面起着至关重要的作用。为了研究日语的词汇复杂性,我们构建了第一个日语LCP数据集。我们的数据集为汉语/韩语注释者和其他注释者提供了单独的复杂性分数,以满足读者的l1特定需求。在基线实验中,我们证明了基于bert的日语LCP系统的有效性。
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