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2021 | OriginalPaper | Chapter

Application of Text Proofreading System Based on Artificial Intelligence

Authors : Jing Gao, Zhishuai Guo

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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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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Literature
1.
go back to reference Hu, P., Li, X.: Analysis of application prospect of “artificial intelligence plus proofreading”. Mod. Publishing (002), 59–61 (2019). (in Chinese) Hu, P., Li, X.: Analysis of application prospect of “artificial intelligence plus proofreading”. Mod. Publishing (002), 59–61 (2019). (in Chinese)
2.
go back to reference Zhao, H., Cai, D., Xin, Y., et al.: A hybrid model for chinese spelling check. ACM Trans. Asian Low-Resour. Lang. Inf. Process. 16(3), 1–22 (2017)CrossRef Zhao, H., Cai, D., Xin, Y., et al.: A hybrid model for chinese spelling check. ACM Trans. Asian Low-Resour. Lang. Inf. Process. 16(3), 1–22 (2017)CrossRef
3.
go back to reference Zhao, Y., Jiang, N.: Overview of the NLPCC 2018 shared task: grammatical error correction. In: Natural Language Processing and Chinese Computing, Cham, pp. 439–445 (2018) Zhao, Y., Jiang, N.: Overview of the NLPCC 2018 shared task: grammatical error correction. In: Natural Language Processing and Chinese Computing, Cham, pp. 439–445 (2018)
4.
go back to reference Bin, L., Quan, L., Jin, X., Qian, Z., Peng, Z.: Aspect-based sentiment analysis based on multi-attention CNN. J. Comput. Res. Dev. 54(08), 1724–1735 (2017). (in Chinese) Bin, L., Quan, L., Jin, X., Qian, Z., Peng, Z.: Aspect-based sentiment analysis based on multi-attention CNN. J. Comput. Res. Dev. 54(08), 1724–1735 (2017). (in Chinese)
5.
go back to reference Zhang, K., Zuo, W., Gu, S., et al.: Learning deep CNN denoiser prior for image restoration. In: Proceedings of the International Conference on Computer Vision and Pattern Recognition, pp. 2808–2817 (2017) Zhang, K., Zuo, W., Gu, S., et al.: Learning deep CNN denoiser prior for image restoration. In: Proceedings of the International Conference on Computer Vision and Pattern Recognition, pp. 2808–2817 (2017)
6.
go back to reference Yang, Z., Yang, D., Dyer, C., et al.: Hierarchical attention networks for document classification. In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 1480–1489 (2017) Yang, Z., Yang, D., Dyer, C., et al.: Hierarchical attention networks for document classification. In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 1480–1489 (2017)
7.
go back to reference Chollampatt, S., Ng, H.T.: A multilayer convolutional encoder-decoder neural network for grammatical error correction. CoRR, abs/1801.08831 (2018) Chollampatt, S., Ng, H.T.: A multilayer convolutional encoder-decoder neural network for grammatical error correction. CoRR, abs/1801.08831 (2018)
8.
go back to reference Ren, H.K., Yang, L.: A sequence to sequence learning for Chinese grammatical error correction. In: Natural Language Processing and Chinese Computing, pp. 401–410 (2018) Ren, H.K., Yang, L.: A sequence to sequence learning for Chinese grammatical error correction. In: Natural Language Processing and Chinese Computing, pp. 401–410 (2018)
9.
go back to reference Gehring, J., Auli, M., Grangier, D., et al.: Convolutional sequence to sequence learning. CoRR, abs/1705.03122 (2017) Gehring, J., Auli, M., Grangier, D., et al.: Convolutional sequence to sequence learning. CoRR, abs/1705.03122 (2017)
10.
go back to reference Sheng, G.S.: The challenge and opportunity that artificial intelligence brings to news production. J. News Res. 11(13), 3–5 (2020) Sheng, G.S.: The challenge and opportunity that artificial intelligence brings to news production. J. News Res. 11(13), 3–5 (2020)
Metadata
Title
Application of Text Proofreading System Based on Artificial Intelligence
Authors
Jing Gao
Zhishuai Guo
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-33-4572-0_104

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