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Big Data Enabled the Development of Public Sports Health Emergency Corpus: Taking MACPHE as an Example

This study aims to make public sports health emergency corpus as a way to deal with public health emergency such as COVID-19, reducing the losses affected by an illness or health condition that has occurred frequently in recent years. On this basis, this paper analyzes the research status of emergen...

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Detalles Bibliográficos
Autores principales: Cui, Hongjing, Zhang, Huican, Pan, Deng, Zhao, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482519/
https://www.ncbi.nlm.nih.gov/pubmed/36124249
http://dx.doi.org/10.1155/2022/8717072
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author Cui, Hongjing
Zhang, Huican
Pan, Deng
Zhao, Bing
author_facet Cui, Hongjing
Zhang, Huican
Pan, Deng
Zhao, Bing
author_sort Cui, Hongjing
collection PubMed
description This study aims to make public sports health emergency corpus as a way to deal with public health emergency such as COVID-19, reducing the losses affected by an illness or health condition that has occurred frequently in recent years. On this basis, this paper analyzes the research status of emergency language services at home and abroad, discusses the significance and principles of Multimodal Aligned Corpus Public Health Emergency (shorted for MACPHE) construction, and develops technical processing paths and building procedures for MACPHE. Finally, it was emphasized that the construction of MACPHE and emergency language resources are important parts of the national language service capacity. Furthermore, on the basis of big data, a modal architecture of MACPHE was given and analyzed in the field of public health service.
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spelling pubmed-94825192022-09-18 Big Data Enabled the Development of Public Sports Health Emergency Corpus: Taking MACPHE as an Example Cui, Hongjing Zhang, Huican Pan, Deng Zhao, Bing J Environ Public Health Research Article This study aims to make public sports health emergency corpus as a way to deal with public health emergency such as COVID-19, reducing the losses affected by an illness or health condition that has occurred frequently in recent years. On this basis, this paper analyzes the research status of emergency language services at home and abroad, discusses the significance and principles of Multimodal Aligned Corpus Public Health Emergency (shorted for MACPHE) construction, and develops technical processing paths and building procedures for MACPHE. Finally, it was emphasized that the construction of MACPHE and emergency language resources are important parts of the national language service capacity. Furthermore, on the basis of big data, a modal architecture of MACPHE was given and analyzed in the field of public health service. Hindawi 2022-09-10 /pmc/articles/PMC9482519/ /pubmed/36124249 http://dx.doi.org/10.1155/2022/8717072 Text en Copyright © 2022 Hongjing Cui et al. 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 Research Article
Cui, Hongjing
Zhang, Huican
Pan, Deng
Zhao, Bing
Big Data Enabled the Development of Public Sports Health Emergency Corpus: Taking MACPHE as an Example
title Big Data Enabled the Development of Public Sports Health Emergency Corpus: Taking MACPHE as an Example
title_full Big Data Enabled the Development of Public Sports Health Emergency Corpus: Taking MACPHE as an Example
title_fullStr Big Data Enabled the Development of Public Sports Health Emergency Corpus: Taking MACPHE as an Example
title_full_unstemmed Big Data Enabled the Development of Public Sports Health Emergency Corpus: Taking MACPHE as an Example
title_short Big Data Enabled the Development of Public Sports Health Emergency Corpus: Taking MACPHE as an Example
title_sort big data enabled the development of public sports health emergency corpus: taking macphe as an example
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482519/
https://www.ncbi.nlm.nih.gov/pubmed/36124249
http://dx.doi.org/10.1155/2022/8717072
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