Application Design of Intelligent Document Text Correction Based on Transformer Model

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Application Design of Intelligent Document Text Correction Based on Transformer Model

Yang, Jin / Yang, Hui / Zhao, Benteng / Cai, Jinshan / Wang, Jingyu

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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Document information

Title :

Application Design of Intelligent Document Text Correction Based on Transformer Model

Additional title:

Lect. Notes Electrical Eng.

Contributors:

Long, Shengzhao (editor) / Dhillon, Balbir S. (editor) / Yang, Jin (author) / Yang, Hui (author) / Zhao, Benteng (author) / Cai, Jinshan (author) / Wang, Jingyu (author)

Conference:

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

Published in:

Man-Machine-Environment System Engineering ; Chapter : 92 ; 647-653

Lecture Notes in Electrical Engineering ; 1069

Publication date :

2023-09-05

Size :

7 pages

ISBN :

978-981-99-4882-6 , 978-981-99-4881-9

ISSN :