Abstract
In text proofreading area, the error detection and error correction are reversible process to each other. In this paper, considering them in the same angle, we put forward an idea of “scattered string concentration”, and combine the bidirectional Pinyin knowledge bases to improve the accurate of positioning error. We fill the gaps between error detection and error correction fundamentally, so as to achieve the effective integration of error detection and error correction. In this paper, the error detection model of today’s text is optimized and the sorting algorithm of the error correction is discussed. The experimental results show that the recall rate of this method is 95.37%, the accuracy rate is 83%, and the method has good application prospect.
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Sun, Y., Zhang, Y., Zhang, Y. (2016). Chinese Text Proofreading Model of Integration of Error Detection and Error Correction. In: Dong, M., Lin, J., Tang, X. (eds) Chinese Lexical Semantics. CLSW 2016. Lecture Notes in Computer Science(), vol 10085. Springer, Cham. https://doi.org/10.1007/978-3-319-49508-8_35
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DOI: https://doi.org/10.1007/978-3-319-49508-8_35
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