Title: Improve the detection of improperly used Chinese characters in students' essays with error model

Authors: Yong-Zhi Chen, Shih-Hung Wu, Ping-Che Yang, Tsun Ku, Gwo-Dong Chen

Addresses: Department of Computer Science, Chaoyang University of Technology, No. 168, Jifong E. Rd., Wufong, Taichung, Taiwan. ' Department of Computer Science, Chaoyang University of Technology, No. 168, Jifong E. Rd., Wufong, Taichung, Taiwan. ' Institute for Information Industry, No. 133, Sec. 4, Minsheng E. Rd., Taipei, Taiwan. ' National Central University, No. 300, Jung-da Rd., Jungli City, Taoyuan, Taiwan. ' National Central University, No. 300, Jung-da Rd., Jungli City, Taoyuan, Taiwan

Abstract: In this research, we propose a Chinese essay error detection system that can be used in online writing tutorial environment. The system consists of word segmentation, template module, and language model module. We build the system with a dictionary for word segmentation and generation of detection templates from news corpus. We also gather the character error probabilities from students| essays to build error model. Error types include pronunciation-related errors and composition-related errors. Our system provides two operating modes for users with different goals. For example, we can help students learn to write effectively by providing high precision correction mode; for teachers, we provide high correction detection mode which can help teachers to check students| essays.

Keywords: template matching; language models; Chinese; languages; essay errors; error detection; improper usage; Chinese characters; student essays; error models; online learning; e-learning; electronic learning; online writing; tutorials; word segmentation; template modules; dictionaries; detection templates; news corpus; template generation; character errors; error probabilities; pronunciation errors; composition errors; effective writing; correction detection; teachers; Taiwan; continuing education; life-long learning; ICT; information technology; communications technology; knowledge creation.

DOI: 10.1504/IJCEELL.2011.039697

International Journal of Continuing Engineering Education and Life-Long Learning, 2011 Vol.21 No.1, pp.103 - 116

Available online: 14 Apr 2011 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article