Retracted: Design of Chinese Grammar Recognition and Error Correction Model Based on the Deep Neural Network

Detalles Bibliográficos
Autor principal: Environmental and Public Health, Journal of
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Retraction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551239/
https://www.ncbi.nlm.nih.gov/pubmed/37811455
http://dx.doi.org/10.1155/2023/9764802
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author Environmental and Public Health, Journal of
author_facet Environmental and Public Health, Journal of
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spelling pubmed-105512392023-10-06 Retracted: Design of Chinese Grammar Recognition and Error Correction Model Based on the Deep Neural Network Environmental and Public Health, Journal of J Environ Public Health Retraction Hindawi 2023-09-27 /pmc/articles/PMC10551239/ /pubmed/37811455 http://dx.doi.org/10.1155/2023/9764802 Text en Copyright © 2023 Journal of Environmental and Public Health. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Retraction
Environmental and Public Health, Journal of
Retracted: Design of Chinese Grammar Recognition and Error Correction Model Based on the Deep Neural Network
title Retracted: Design of Chinese Grammar Recognition and Error Correction Model Based on the Deep Neural Network
title_full Retracted: Design of Chinese Grammar Recognition and Error Correction Model Based on the Deep Neural Network
title_fullStr Retracted: Design of Chinese Grammar Recognition and Error Correction Model Based on the Deep Neural Network
title_full_unstemmed Retracted: Design of Chinese Grammar Recognition and Error Correction Model Based on the Deep Neural Network
title_short Retracted: Design of Chinese Grammar Recognition and Error Correction Model Based on the Deep Neural Network
title_sort retracted: design of chinese grammar recognition and error correction model based on the deep neural network
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551239/
https://www.ncbi.nlm.nih.gov/pubmed/37811455
http://dx.doi.org/10.1155/2023/9764802
work_keys_str_mv AT environmentalandpublichealthjournalof retracteddesignofchinesegrammarrecognitionanderrorcorrectionmodelbasedonthedeepneuralnetwork

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