摘要
传统的语法知识数据库构建方法忽视了显性语法与隐性语法之间的关联程度,致使数据库的反馈结果遗漏了隐性语法知识要点,因此基于云计算技术,构建全新的显性隐性语法知识数据库.粒子群算法计算数据的更新特性,获取隐性数据、显性数据的关联程度指标,根据转化模型实现对隐性语法知识的显性转化;利用目标函数获取搜索目标,并根据数据的重要程度排序;基于云计算技术设置分布式处理方式,优化数据库反馈机制,实现对语法知识的全方位反馈.实验测试表明,与传统方法构建的数据库相比,基于云计算的数据库反馈能力更强,搜索得到的语法知识重要程度更高.由此可见,基于云计算构建的数据库,满足现阶段的教学需求.
The traditional grammar knowledge database construction method ignores the degree of correlation between explicit grammar and implicit grammar,causing the feedback results of the database to omit the main points of implicit grammar knowledge.Therefore,based on cloud computing technology,a new explicit implicit grammar is constructed.Knowledge database.The particle swarm algorithm calculates the update characteristics of the data,obtains the index of the degree of association between the implicit data and the explicit data,and realizes the explicit transformation of the implicit grammar knowledge according to the transformation model;uses the objective function to obtain the search target and ranks according to the importance of the data;Set up a distributed processing method based on cloud computing technology,optimize the database feedback mechanism,and achieve comprehensive feedback on grammar knowledge.Experimental tests show that compared with databases constructed by traditional methods,cloud computing-based databases have stronger feedback capabilities,and the grammar knowledge obtained through searching is more important.It can be seen that the database based on cloud computing can meet the current teaching needs.
作者
张文君
ZHANG Wenjun(School of Foreign Languages,Fuyang Normal University,Fuyang 236079,China)
出处
《商丘师范学院学报》
CAS
2023年第3期20-24,共5页
Journal of Shangqiu Normal University
基金
安徽省阜阳师范大学校级教学研究项目“基于显性与隐性语法知识发展差异性的大学英语语法教学研究”(2017JYXM36)
关键词
云计算
显性语法
隐性语法
数据库构建
cloud computing
explicit grammar
implicit grammar
database construction
