2015 · 14 citations · 4 references
EngineeringComputer ScienceComputational LinguisticsNatural Language ProcessingSyntaxError CorrectionError DetectionReading AccuracyChinese CharactersLinear RegressionSpelling CorrectionSpelling Error AnalysisSpelling Error DetectionSpelling ErrorsSyntax Error CorrectionWord Length Effects
The detection and correction of erroneous Chinese characters is an important problem in many applications. This paper proposed an automatic method for correcting erroneous Chinese characters. The method is divided into two parts, which separately handle two types of erroneous character: the occurrence of an erroneous character in a word length of one, and the occurrence in a word length of two or more. The first primarily makes use of a rulesbased method, while the second integrates parameters of similarity and syntax rationality using a linear regression model to predict erroneous characters. Experimental results shown that the F1 and FPR of the proposed method are 0.34 and 0.18 respectively.
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