Analysis of Language Recognition System Based on Cloud Computing Web Platform
Xianyan Yang, Qiang Cui, Yuyan Jia · 2024
With the rise and popularization of cloud computing, information processing for schools, educational institutions, and individuals can gradually shift to the cloud. Therefore, it is particularly important to study the key technologies of online teaching platforms under cloud computing. This article is based on cloud computing technology, modular and multi-level architecture, combined with the concept of architecture, and constructs a data-driven teaching system structure. Cloud computing technology is a new type of online teaching architecture that can maximize the use of network information system resources according to different business needs and scenarios, establish new environments and models for information sharing, collaboration, and interactive online learning. This article introduces a cloud computing based analysis platform for language recognition systems aimed at improving the effectiveness of English teaching. Practical application has proven that this system can effectively solve some problems in current English teaching and play a significant role in students' English learning (the correlation between the content of the English Practice System (EPS) based on the technology in this article and the needs of students is 97%, and the accuracy is 99%).