Chinese grammatical error detection using a CNN-LSTM model

Lung Hao Lee, Bo Lin Lin, Liang Chih Yu, Yuen Hsien Tseng

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we proposed a Convolution Neural Network with Long Short-Term Memory (CNN-LSTM) model for Chinese grammatical error detection. The TOCFL learner corpus is adopted to measure the system performance of indicating whether a sentence contains errors or not. Our model performs better than other neural network based methods in terms of accuracy for identifying an erroneous sentence written by Chinese language learners.

原文英語
主出版物標題Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
編輯Ahmad Fauzi Mohd Ayub, Antonija Mitrovic, Jie-Chi Yang, Su Luan Wong, Wenli Chen
發行者Asia-Pacific Society for Computers in Education
頁面919-921
頁數3
ISBN(列印)9789869401265
出版狀態已發佈 - 2017 一月 1
事件25th International Conference on Computers in Education, ICCE 2017 - Christchurch, 新西兰
持續時間: 2017 十二月 42017 十二月 8

出版系列

名字Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings

其他

其他25th International Conference on Computers in Education, ICCE 2017
國家新西兰
城市Christchurch
期間17/12/417/12/8

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Science Applications
  • Information Systems
  • Hardware and Architecture
  • Education

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