Abstract
This paper expounds the development process and future prospect of intelligent proofreading technology. Based on the model training and the research on the composition of knowledge map, the deep learning model is established to reduce the error rate of intelligent proofreading, and the basic proofreading model of intelligent proofreading system is constructed. By perfecting the proofreading model of specific vocabulary and data docking, Chinese fixed terms, sensitive words, etc., a relatively complete proofreading model is formed. Meanwhile, the intelligent proofreading model is encapsulated to form interface service and independent proofreading service.
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Acknowledgements
This project has won special award for media convergence, information technology and network Security project of Chinese newspaper industry.
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Gao, J., Guo, Z. (2021). Application of Text Proofreading System Based on Artificial Intelligence. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_104
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DOI: https://doi.org/10.1007/978-981-33-4572-0_104
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