A Deep Learning Approach of English Vocabulary for Mobile Platform

被引:2
|
作者
Shen, Nanyan [1 ]
机构
[1] Guangdong Univ Technol, Huali Coll, Zengcheng 511325, Peoples R China
关键词
deep learning; J2EE; Android; Ajax; mobile platform;
D O I
10.1109/ICMTMA52658.2021.00106
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To improve the effect of mobile learning, we should not only deepen learners' understanding of study, but also constantly improve the mobile learning mode. Therefore, from the perspective of English vocabulary deep learning, this paper investigates the main mobile vocabulary learning in the functional architecture and its advantages and disadvantages in promoting English vocabulary, and designs and develops a mobile platform oriented English vocabulary deep learning system. The development environment of the platform is J2EE development platform and the Android client uses MyEclipse ADT tool to develop the mobile client according to the Android development library. The scheme also realizes the communication between the client and the server. The system test analysis shows that the scheme can realize the intelligent evaluation of English deep learning, ensure the scientificity and objectivity of vocabulary deep learning, and improve the teaching efficiency.
引用
收藏
页码:463 / 466
页数:4
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