基于微信小程序的在线应急语言服务平台研究与设计

Research and design of emergency language service online platform based on WeChat applet

在新冠肺炎疫情防控中,我国应急语言服务暴露出的诸多问题已引起各界高度关注.究其原因,传统的应急语言服务过于依赖线下人工完成,不能满足应急语言服务对效率和多语言的需求.提出基于微信小程序和自监督预训练模型的应急语言服务在线平台建设方案,可实现自动语音翻译、人工线上服务和线下服务三维一体的应急语言服务体系.对应急语言服务在线平台进行了详细的需求分析和功能模块设计,并对重要功能模块加以实现.所提方案不但可以提高应急语言服务效率,也可以建设应急语言服务志愿者库,有利于提升国家应急语言服务水平.

During the prevention and control of COVID-19,many problems exposed by emergency language services in China have attracted great attention from all sectors of society.The main reason is that the traditional emergency language service depends too much on offline, which cannot meet the requirements of emergency language service for timeliness and cannot easily find a suitable service provider.This paper focuses on the problems faced by emergency language service, and puts forward the construction scheme of emergency language service online platform based on WeChat applet.The platform focuses on how to effectively complete the specific needs of emergency language services online, and proposes an emergency language service system that integrates automatic voice translation, manual online and offline services.This paper makes a detailed demand analysis and functional module design of the emergency language service online platform, and realizes the important functional modules.The relevant research can provide new ideas and valuable references for the academic community to improve the emergency language service strategy.