Abstract
Text error correction is an essential part of text proofreading. This paper presents a method for generating text error correction suggestion based on SoundShape Code. By converting the target words into SoundShape Code and using an improved editing distance algorithm to make an ambiguous match with the words in the vocabulary, a set of candidate words whose similarity exceeds a certain threshold are obtained. Based on the contextual relevance model, each words in the candidate words set is scored, and then reasonable error correction suggestions are given according the score. In this paper, four types of errors are marked: substitution error in words with two-character, missing error in words with more than three-character, inserting error in words with more than three-character, substitution error in words with three-character. In total, 617 errors are tested and analyzed. Experiments show that the similarity calculation based on SoundShape Code can provide reasonable error correction suggestions.
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Acknowledgements
This work was supported by grants from National Nature Science Foundation of China (No. 61772081).
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Wang, H., Zhang, Y., Yang, L., Wang, C. (2020). Chinese Text Error Correction Suggestion Generation Based on SoundShape Code. In: Hong, JF., Zhang, Y., Liu, P. (eds) Chinese Lexical Semantics. CLSW 2019. Lecture Notes in Computer Science(), vol 11831. Springer, Cham. https://doi.org/10.1007/978-3-030-38189-9_44
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DOI: https://doi.org/10.1007/978-3-030-38189-9_44
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