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.


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    Titel :

    Application Design of Intelligent Document Text Correction Based on Transformer Model


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Long, Shengzhao (Herausgeber:in) / Dhillon, Balbir S. (Herausgeber:in) / Yang, Jin (Autor:in) / Yang, Hui (Autor:in) / Zhao, Benteng (Autor:in) / Cai, Jinshan (Autor:in) / Wang, Jingyu (Autor:in)

    Kongress:

    International Conference on Man-Machine-Environment System Engineering ; 2023 ; Beijing, China October 20, 2023 - October 23, 2023



    Erscheinungsdatum :

    2023-09-05


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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