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Design of English Diagnostic Practice Sentence Repetition Recognition System Based on Matching Tree and Edge Computing
Wireless Communications and Mobile Computing ( IF 2.146 ) Pub Date : 2021-02-09 , DOI: 10.1155/2021/6651145
Tanping Xi 1
Affiliation  

English reading ability is an important indicator to measure learners’ English ability. However, because reading ability cannot be directly observed, people usually take tests to judge the reading ability of learners. Therefore, it is very necessary to design a reasonable diagnostic practice sentence repetition recognition system to analyze and test, inform learners of the advantages and disadvantages in reading, and give corresponding countermeasures. In order to properly solve the problem of repeated recognition of English diagnostic sentences, we have developed a new recognition system combined with matching tree and edge computing technology. First, the matching tree algorithm is used for the repetitive diagnosis of English sentences. The algorithm has achieved good results in the repetitive diagnosis and matching. Secondly, an English diagnostic practice sentence repetition recognition system architecture is built through edge computing algorithms, which improves the efficiency of the English diagnostic system. Finally, through the simulation test of the English diagnostic practice system, the applicability of the established repeated recognition model is verified.

中文翻译:

基于匹配树和边缘计算的英语诊断实践句子重复识别系统设计

英语阅读能力是衡量学习者英语能力的重要指标。但是,由于无法直接观察阅读能力,因此人们通常会通过测试来判断学习者的阅读能力。因此,有必要设计一套合理的诊断练习句重复识别系统进行分析和测试,告知学习者阅读的优缺点,并提出相应的对策。为了正确解决英语诊断语句的重复识别问题,我们开发了一种新的识别系统,该系统结合了匹配树和边缘计算技术。首先,将匹配树算法用于英语句子的重复诊断。该算法在重复诊断和匹配中取得了良好的效果。其次,通过边缘计算算法建立了英语诊断练习句子重复识别系统架构,提高了英语诊断系统的效率。最后,通过英语诊断实践系统的仿真测试,验证了所建立的重复识别模型的适用性。
更新日期:2021-02-09
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