Author(s)

Ligang Dong, Mengying Wu, Hong Shao and Xian Jiang

Corresponding Author

Ligang Dong

ABSTRACT

Automatic proofreading refers to the use of computers to identify and correct writing or grammatical errors in text. Today's automatic proofreading studies use large-scale lexicon to proofread words, making it difficult to syntactically proofread and not support large-scale free text processing. Therefore, this paper uses the knowledge map to achieve syntactic and semantic proofreading of the text, in which the proofreading semantic error types are wrong word, missing components and defining contradictions. Compared with the widely used Chinese automatic proofreading system, the semantic proofreading method has a high recall rate.

KEYWORDS

Chinese automatic text proofreading, Knowledge graph, Word proofreading, Semantic proofreading