文章詳目資料

International Journal of Computational Linguistics And Chinese Language Processing THCI

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篇名 Automatically Detecting Syntactic Errors in Sentences Written by Learners of Chinese as a Foreign Language
卷期 20:1
作者 CHANG,Tao-HsingSUNG,Yao-TingHONG,Jia-Fei
頁次 049-064
關鍵字 Syntactic ErrorsChinese GrammarChinese Written CorpusTHCI Core
出刊日期 201506

中文摘要

英文摘要

This paper proposed a method that can automatically detect syntax errors in Chinese sentences. The algorithm for identifying syntax errors proposed in this study is known as KNGED, which uses a large database of rules to identify whether syntax errors exist in a sentence. The rules were generated either manually or automatically. This paper further proposed an algorithm for identifying the type of error that a sentence contained. Experimental results shown that the false positive rate and F1-measure of the proposed method for detecting syntax errors in Chinese sentences are 0.90 and 0.65.

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