Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings |
| Editors | Ahmad Fauzi Mohd Ayub, Antonija Mitrovic, Jie-Chi Yang, Su Luan Wong, Wenli Chen |
| Publisher | Asia-Pacific Society for Computers in Education |
| Pages | 919-921 |
| Number of pages | 3 |
| ISBN (Print) | 9789869401265 |
| Publication status | Published - 2017 Jan 1 |
| Event | 25th International Conference on Computers in Education, ICCE 2017 - Christchurch, New Zealand Duration: 2017 Dec 4 → 2017 Dec 8 |
Publication series
| Name | Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings |
|---|
Other
| Other | 25th International Conference on Computers in Education, ICCE 2017 |
|---|---|
| Country | New Zealand |
| City | Christchurch |
| Period | 17/12/4 → 17/12/8 |
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Keywords
- Chinese as a foreign language
- Deep neural networks
- Grammatical error diagnosis
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Computer Science Applications
- Information Systems
- Hardware and Architecture
- Education
Cite this
Chinese grammatical error detection using a CNN-LSTM model. / Lee, Lung Hao; Lin, Bo Lin; Yu, Liang Chih; Tseng, Yuen Hsien.
Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings. ed. / Ahmad Fauzi Mohd Ayub; Antonija Mitrovic; Jie-Chi Yang; Su Luan Wong; Wenli Chen. Asia-Pacific Society for Computers in Education, 2017. p. 919-921 (Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Chinese grammatical error detection using a CNN-LSTM model
AU - Lee, Lung Hao
AU - Lin, Bo Lin
AU - Yu, Liang Chih
AU - Tseng, Yuen Hsien
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Chinese as a foreign language
KW - Deep neural networks
KW - Grammatical error diagnosis
UR - http://www.scopus.com/inward/record.url?scp=85053866985&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053866985&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9789869401265
T3 - Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
SP - 919
EP - 921
BT - Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
A2 - Mohd Ayub, Ahmad Fauzi
A2 - Mitrovic, Antonija
A2 - Yang, Jie-Chi
A2 - Wong, Su Luan
A2 - Chen, Wenli
PB - Asia-Pacific Society for Computers in Education
ER -