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Research on Text Error Detection and Repair Method Based on Online Learning Community

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成果类型:
期刊论文、会议论文
作者:
Song, Xu*;Min, Ye Jun;Luo Da-Xiong;Feng, Wang Zhi;Shu, Chen
通讯作者:
Song, Xu
作者机构:
[Luo Da-Xiong; Shu, Chen; Song, Xu; Min, Ye Jun] Cent China Normal Univ, Sch Comp, Wuhan 430070, Hubei, Peoples R China.
[Feng, Wang Zhi] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430070, Hubei, Peoples R China.
通讯机构:
[Song, Xu] C
Cent China Normal Univ, Sch Comp, Wuhan 430070, Hubei, Peoples R China.
语种:
英文
关键词:
Online learning community;Chinese text errors;Semantic error detection;Grammatical error detection;Text error correction
期刊:
Procedia Computer Science
ISSN:
1877-0509
年:
2019
卷:
154
页码:
13-19
会议名称:
9th International Conference of Information and Communication Technology [ICICT]
会议论文集名称:
Procedia Computer Science
会议时间:
JAN 11-13, 2019
会议地点:
Nanning, PEOPLES R CHINA
会议主办单位:
[Song, Xu;Min, Ye Jun;Luo Da-Xiong;Shu, Chen] Cent China Normal Univ, Sch Comp, Wuhan 430070, Hubei, Peoples R China.^[Feng, Wang Zhi] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430070, Hubei, Peoples R China.
会议赞助商:
Hunan Univ Finance & Econ
主编:
Patnaik, S
出版地:
SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
出版者:
ELSEVIER SCIENCE BV
基金类别:
National Social Science Fund General Project [17BTQ061]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
教育信息技术学院
摘要:
The short text in the online learning community is an important source of data in learning analysis. Therefore, the quality of the short text has a significant impact on the study of learning analysis. Due to the large amount of text data in the learning community, manual detection and repair will cost too much. This paper proposes a text detection and repair framework based on an online learning community. It aims to automatically detect and repair various types of semantic errors and grammatical errors that exist in online learning community short texts. The framework utilizes existing text ...

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