Japanese Lexical Complexity for Non-Native Readers: A New Dataset
Computation and Language
2023-07-03 v1
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.
Cite
@article{arxiv.2306.17399,
title = {Japanese Lexical Complexity for Non-Native Readers: A New Dataset},
author = {Yusuke Ide and Masato Mita and Adam Nohejl and Hiroki Ouchi and Taro Watanabe},
journal= {arXiv preprint arXiv:2306.17399},
year = {2023}
}
Comments
BEA 2023