中文混淆字集應用於別字偵錯模板自動產生

Chinese Confusion Word Set for Automatic Generation of Spelling Error Detecting Template

本研究透過常用字來產生混淆字集，自動產生能夠幫助錯別字偵測的模板，發展華語文錯別字偵測技術。本系統利用辭典為基礎，使用辭典中的詞彙做為正面用詞，透過混淆字集自動產生含別字的反面模板，能夠偵測的別字包含同音字、同部首字，並且透過斷詞軟體輔助擷取更正確的反面模板，用以協助華文教師進行大量華文作文的錯別字批改甚至輔助學生進行寫作，最後達到提昇寫作能力之成效。

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 template. 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.