篇名 | Improving the Template Generation for Chinese Character Error Detection with Confusion Sets |
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卷期 | 15:2 |
作者 | Chen, Yong-zhi 、 Wu, Shih-hung 、 Yang, Ping-che 、 Ku, Tsun |
頁次 | 127-143 |
關鍵字 | Template Generation 、 Template Mining 、 Chinese Character Error 、 THCI Core |
出刊日期 | 201006 |
In this paper, we propose a system that automatically generates templates for detecting Chinese character errors. We first collect the confusion sets for each high-frequency Chinese character. Error types include pronunciation-related errors and radical-related errors. With the help of the confusion sets, our system generates possible error patterns in context, which will be used as detection templates.Combined with a word segmentation module, our system generates more accurate templates. The experimental results show the precision of performance approaches
95%. Such a system should not only help teachers grade and check student essays,but also effectively help students learn how to write.