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作 者:方丽君 FANG Li-jun(Hanghai College,Fujian Chuanzheng Communications College,Fuzhou,Fujian 350007,China)
机构地区:[1]福建船政交通职业学院航海学院,福建福州350007
出 处:《河北北方学院学报(自然科学版)》2024年第1期7-13,共7页Journal of Hebei North University:Natural Science Edition
摘 要:面对大学英语语译义翻译短板,设计大学英语语译义翻译能力线上线下混合式培训平台,为大学生提升英语能力提供最佳性能平台。基于MOOC的培训模式,建立由前端模块、培训模块、评价模块组成的线上线下混合式培训平台,基于IEEE1484标准体系的网络资源管理系统,以LT-SR为平台管理教学资源,以思维引导作为平台核心,协调各模块作用,利用基于模糊聚类的协同推荐算法为大学生推荐相关个性化教学资源,培训和提升大学英语语译义翻译能力。测试结果表明:平台检索最短耗时仅为1.1 s,反应速度快;主动交互曲线与被动交互曲线波动幅度大,且重合度较高,交互性能强。In view of the shortcoming of college English translation,an online and offline hybrid training platform was desihned for College English translation ability to provide the best performance platform for college students to improve their English ability.Based on the training mode of MOOC,the online and offline hybrid training platform composed of front-end module,training module and evaluation module was established.The network resource management system was based on ieee1484 standard system.LT-SR was used as the platform to manage teaching resources.Thinking guidance was used as the core of the platform to coordinate the role of each module.The collaborative recommendation algorithm based on fuzzy clustering was used to recommend relevant personalized teaching resources for college students,training and improving college English translation ability.The test results showed that:when 4200 people used the platform at the same time,the CPU occupancy rate was only 9%,and the response time of the platform was 2.8 s,so the platform had high stability;the shortest retrieval time of the platform was only 1.1 s,so the response speed was fast;the active interaction curve and passive interaction curve fluctuated greatly,and the coincidence degree was high,so the interaction performance was strong.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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