In this research, we proposed a system that can use automatically generated templates for detecting Chinese spelling error. At first, we use frequently used Chinese characters to produce the Chinese confusion set. Based on a dictionary, our system automatically generated negative vocabulary template with the help of Chinese confusion set. Error types include pronunciation-related errors and radical-related errors. And our system uses word segment to capture more accurately the negative

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... We hope that such a system can help the teachers on the checking of students' essays, and also can help students learn to write effectively. Consequently, the students would improve their writing skill.