To study lexical complexity in Japanese, the first Japanese LCP dataset is constructed and the effectiveness of a BERT-based system forJapanese LCP is demonstrated.
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.
Yusuke Ide
1 papers
Hiroki Ouchi
3 papers