Analysis of Chinese Text Automatic Proofreading Technology
DOI:
https://doi.org/10.54097/ijeh.v4i1.1406Keywords:
Text proofreading, Chinese information processing, Deep learning, Real-word error.Abstract
The development of computer technology promotes the research on automatic text proofreading technology. The research of Chinese text automatic proofreading started late but developed rapidly. This paper analyzes the difficulties of Chinese text proofreading and reviews the research methods of Chinese text automatic proofreading technology, including statistical-based approach, rule-based approach, deep learning-based approach and hybrid approach. Although some new progress has been made in Chinese text automatic proofreading in recent years, there are many problems remain to be settled due to the complexity of Chinese and the scale of the universal data set of Chinese proofreading corpus.
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