Suppr超能文献

大数据助力公共体育健康应急语料库建设:以 MACPHE 为例。

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

机构信息

School of Foreign Languages, Harbin University, Harbin 150086, China.

College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China.

出版信息

J Environ Public Health. 2022 Sep 10;2022:8717072. doi: 10.1155/2022/8717072. eCollection 2022.

Abstract

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.

摘要

本研究旨在构建公共体育健康应急语料库,应对如 COVID-19 等公共卫生突发事件,减少近年来频繁发生的疾病或健康状况对人们造成的损失。在此基础上,本文分析了国内外应急语言服务研究现状,探讨了多模态对齐公共卫生应急语料库(Multimodal Aligned Corpus Public Health Emergency,简称 MACPHE)建设的意义和原则,给出了 MACPHE 的技术处理路径和构建流程。最后强调了 MACPHE 建设和应急语言资源建设是国家语言服务能力的重要组成部分。并在大数据的基础上,给出并分析了公共卫生服务领域 MACPHE 的模态架构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0de/9482519/125fed4b067e/JEPH2022-8717072.001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验