With the rapid development of artificial intelligence technology, using computer technology to reduce the risk of artificial error has gradually become a trend. In order to improve the quality of official documents and the efficiency of proofreading, this paper introduces the deep learning algorithm to design the error-correcting application of official documents. Firstly, the development of existing text error correction technologies is studied, then text reprocessing methods are analyzed, and finally a document error correction framework based on Transformer model is designed.
Application Design of Intelligent Document Text Correction Based on Transformer Model
Lect. Notes Electrical Eng.
International Conference on Man-Machine-Environment System Engineering ; 2023 ; Beijing, China October 20, 2023 - October 23, 2023
2023-09-05
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Official Documents , Text Error Correction , Preprocessing , Transformer Model Engineering , Manufacturing, Machines, Tools, Processes , Engineering Economics, Organization, Logistics, Marketing , Artificial Intelligence , Aerospace Technology and Astronautics , Environmental Engineering/Biotechnology
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