Multi-Channel CNN-BiLSTM for Chinese grammatical error detection

Lung Hao Lee; Yuh Shyang Wang; Po Chen Lin; Chih Te Hung; Yuen Hsien Tseng

Multi-Channel CNN-BiLSTM for Chinese grammatical error detection

Lung Hao Lee, Yuh Shyang Wang, Po Chen Lin, Chih Te Hung, Yuen Hsien Tseng

電機工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

2 引文斯高帕斯（Scopus）

摘要

In this paper, we proposed a Multi-Channel Convolutional Neural Network with Bidirectional Long Short-Term Memory (MC-CNN-BiLSTM) model for Chinese grammatical error detection. The TOCFL learner corpus is adopted to measure the system capability of indicating whether a sentence contains errors or not. Our model performs better than a previous CNN-LSTM model that reflects the effectiveness of multi-channel embedding representation.

原文	???core.languages.en_GB???
主出版物標題	ICCE 2020 - 28th International Conference on Computers in Education, Proceedings
編輯	Hyo-Jeong So, Ma. Mercedes Rodrigo, Jon Mason, Antonija Mitrovic, Daniel Bodemer, Weichao Chen, Zhi-Hong Chen, Brendan Flanagan, Marc Jansen, Roger Nkambou, Longkai Wu
發行者	Asia-Pacific Society for Computers in Education
頁面	558-560
頁數	3
ISBN（電子）	9789869721455
出版狀態	已出版 - 23 11月 2020
事件	28th International Conference on Computers in Education, ICCE 2020 - Virtual, Online 持續時間: 23 11月 2020 → 27 11月 2020

出版系列

名字	ICCE 2020 - 28th International Conference on Computers in Education, Proceedings
卷	1

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???event.eventtypes.event.conference???	28th International Conference on Computers in Education, ICCE 2020
城市	Virtual, Online
期間	23/11/20 → 27/11/20

中文醫療健康照護知識庫建置與應用(2/3)
Lee, L.-H. (PI)
1/05/20 → 30/04/21
研究計畫: Research

引用此

Lee, L. H., Wang, Y. S., Lin, P. C., Hung, C. T., & Tseng, Y. H. (2020). Multi-Channel CNN-BiLSTM for Chinese grammatical error detection. 於 H.-J. So, M. M. Rodrigo, J. Mason, A. Mitrovic, D. Bodemer, W. Chen, Z.-H. Chen, B. Flanagan, M. Jansen, R. Nkambou, & L. Wu (編輯), ICCE 2020 - 28th International Conference on Computers in Education, Proceedings (頁 558-560). (ICCE 2020 - 28th International Conference on Computers in Education, Proceedings; 卷 1). Asia-Pacific Society for Computers in Education.

Lee, Lung Hao ; Wang, Yuh Shyang ; Lin, Po Chen 等. / Multi-Channel CNN-BiLSTM for Chinese grammatical error detection. ICCE 2020 - 28th International Conference on Computers in Education, Proceedings. 編輯 / Hyo-Jeong So ; Ma. Mercedes Rodrigo ; Jon Mason ; Antonija Mitrovic ; Daniel Bodemer ; Weichao Chen ; Zhi-Hong Chen ; Brendan Flanagan ; Marc Jansen ; Roger Nkambou ; Longkai Wu. Asia-Pacific Society for Computers in Education, 2020. 頁 558-560 (ICCE 2020 - 28th International Conference on Computers in Education, Proceedings).

@inproceedings{5b3c2862f39c46a387c5ea189c832f75,

title = "Multi-Channel CNN-BiLSTM for Chinese grammatical error detection",

abstract = "In this paper, we proposed a Multi-Channel Convolutional Neural Network with Bidirectional Long Short-Term Memory (MC-CNN-BiLSTM) model for Chinese grammatical error detection. The TOCFL learner corpus is adopted to measure the system capability of indicating whether a sentence contains errors or not. Our model performs better than a previous CNN-LSTM model that reflects the effectiveness of multi-channel embedding representation.",

keywords = "Chinese as a foreign language, Deep neural networks, Grammatical error diagnosis",

author = "Lee, {Lung Hao} and Wang, {Yuh Shyang} and Lin, {Po Chen} and Hung, {Chih Te} and Tseng, {Yuen Hsien}",

note = "Publisher Copyright: {\textcopyright} ICCE 2020 - 28th International Conference on Computers in Education, Proceedings. All rights reserved.; 28th International Conference on Computers in Education, ICCE 2020 ; Conference date: 23-11-2020 Through 27-11-2020",

year = "2020",

month = nov,

day = "23",

language = "???core.languages.en_GB???",

series = "ICCE 2020 - 28th International Conference on Computers in Education, Proceedings",

publisher = "Asia-Pacific Society for Computers in Education",

pages = "558--560",

editor = "Hyo-Jeong So and Rodrigo, {Ma. Mercedes} and Jon Mason and Antonija Mitrovic and Daniel Bodemer and Weichao Chen and Zhi-Hong Chen and Brendan Flanagan and Marc Jansen and Roger Nkambou and Longkai Wu",

booktitle = "ICCE 2020 - 28th International Conference on Computers in Education, Proceedings",

}

Lee, LH, Wang, YS, Lin, PC, Hung, CT & Tseng, YH 2020, Multi-Channel CNN-BiLSTM for Chinese grammatical error detection. 於 H-J So, MM Rodrigo, J Mason, A Mitrovic, D Bodemer, W Chen, Z-H Chen, B Flanagan, M Jansen, R Nkambou & L Wu (編輯), ICCE 2020 - 28th International Conference on Computers in Education, Proceedings. ICCE 2020 - 28th International Conference on Computers in Education, Proceedings, 卷 1, Asia-Pacific Society for Computers in Education, 頁 558-560, 28th International Conference on Computers in Education, ICCE 2020, Virtual, Online, 23/11/20.

Multi-Channel CNN-BiLSTM for Chinese grammatical error detection. / Lee, Lung Hao; Wang, Yuh Shyang; Lin, Po Chen 等.
ICCE 2020 - 28th International Conference on Computers in Education, Proceedings. 編輯 / Hyo-Jeong So; Ma. Mercedes Rodrigo; Jon Mason; Antonija Mitrovic; Daniel Bodemer; Weichao Chen; Zhi-Hong Chen; Brendan Flanagan; Marc Jansen; Roger Nkambou; Longkai Wu. Asia-Pacific Society for Computers in Education, 2020. p. 558-560 (ICCE 2020 - 28th International Conference on Computers in Education, Proceedings; 卷 1).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

TY - GEN

T1 - Multi-Channel CNN-BiLSTM for Chinese grammatical error detection

AU - Lee, Lung Hao

AU - Wang, Yuh Shyang

AU - Lin, Po Chen

AU - Hung, Chih Te

AU - Tseng, Yuen Hsien

PY - 2020/11/23

Y1 - 2020/11/23

N2 - In this paper, we proposed a Multi-Channel Convolutional Neural Network with Bidirectional Long Short-Term Memory (MC-CNN-BiLSTM) model for Chinese grammatical error detection. The TOCFL learner corpus is adopted to measure the system capability of indicating whether a sentence contains errors or not. Our model performs better than a previous CNN-LSTM model that reflects the effectiveness of multi-channel embedding representation.

AB - In this paper, we proposed a Multi-Channel Convolutional Neural Network with Bidirectional Long Short-Term Memory (MC-CNN-BiLSTM) model for Chinese grammatical error detection. The TOCFL learner corpus is adopted to measure the system capability of indicating whether a sentence contains errors or not. Our model performs better than a previous CNN-LSTM model that reflects the effectiveness of multi-channel embedding representation.

KW - Chinese as a foreign language

KW - Deep neural networks

KW - Grammatical error diagnosis

UR - http://www.scopus.com/inward/record.url?scp=85099484280&partnerID=8YFLogxK

M3 - 會議論文篇章

AN - SCOPUS:85099484280

T3 - ICCE 2020 - 28th International Conference on Computers in Education, Proceedings

SP - 558

EP - 560

BT - ICCE 2020 - 28th International Conference on Computers in Education, Proceedings

A2 - So, Hyo-Jeong

A2 - Rodrigo, Ma. Mercedes

A2 - Mason, Jon

A2 - Mitrovic, Antonija

A2 - Bodemer, Daniel

A2 - Chen, Weichao

A2 - Chen, Zhi-Hong

A2 - Flanagan, Brendan

A2 - Jansen, Marc

A2 - Nkambou, Roger

A2 - Wu, Longkai

PB - Asia-Pacific Society for Computers in Education

T2 - 28th International Conference on Computers in Education, ICCE 2020

Y2 - 23 November 2020 through 27 November 2020

ER -

Lee LH, Wang YS, Lin PC, Hung CT, Tseng YH. Multi-Channel CNN-BiLSTM for Chinese grammatical error detection. 於 So HJ, Rodrigo MM, Mason J, Mitrovic A, Bodemer D, Chen W, Chen ZH, Flanagan B, Jansen M, Nkambou R, Wu L, 編輯, ICCE 2020 - 28th International Conference on Computers in Education, Proceedings. Asia-Pacific Society for Computers in Education. 2020. p. 558-560. (ICCE 2020 - 28th International Conference on Computers in Education, Proceedings).

Multi-Channel CNN-BiLSTM for Chinese grammatical error detection

摘要

出版系列

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指紋

專案

中文醫療健康照護知識庫建置與應用(2/3)

引用此