摘要
针对目前机器辅助翻译系统的翻译时间比较长的问题,提出基于云计算模式的机器辅助翻译系统的设计。首先,对机器辅助翻译系统的结构进行分析,将其划分成为四层结构。之后,对系统的软硬件进行设计,创建基于云计算模式的机器辅助翻译系统的平台,分析系统的工作流程。最后,对设计的机器辅助翻译系统进行测试。通过测试结果表示,和传统系统实现实验对比,基于云计算的机器辅助翻译系统的翻译时间相对传统机器翻译时间较少。
In order to solve the problem that the translation time of machine-aided translation system is relatively long at present,the design of machine-aided translation system based on cloud computing mode is put forward.First of all,the structure of machine-aided translation system is analyzed and divided into four-tier structure.After that,the software and hardware of the system are designed,the platform of machine-aided translation system based on cloud computing mode is created,and the workflow of the system is analyzed.Finally,the designed machine-aided translation system is tested.The test results show that compared with the traditional system implementation experiment,the machine-aided translation system based on cloud computing has less translation time.
作者
高挺挺
GAO Ting-ting(Yulin University,Yulin 719000,China)
出处
《电子设计工程》
2020年第17期29-32,共4页
Electronic Design Engineering
基金
陕西省教育厅2020年度一般专项科学研究计划(20JK0463)。
关键词
云计算
机器辅助
翻译系统
系统测试
cloud computing
machine assistance
translation system
system testing