Abstract

In order to improve the effect of English education translation, this paper improves the 5G network virtualization algorithm and uses the typical correlation analysis method in data mining to extract the correlation relationship between the data content contained in the massive English translation user equipment. Furthermore, this paper adopts the similarity-based clustering method to realize the self-organization construction of English translation virtual community. On this basis, this paper proposes a spectrum allocation algorithm based on convex optimization, which effectively solves the problem of spectrum allocation in virtual cells. Finally, this paper constructs the functional architecture of the English education translation system based on 5G network virtualization and conducts experimental research. The experimental research results show that the English education translation system based on 5G virtualization constructed in this paper can play an important role in smart English teaching.

Highlights

  • With the introduction of the concept of “smart earth,” under the research and development of artificial intelligence, cloud computing, and other technologies, the concept of “smart” has penetrated into all fields of society

  • Based on the above analysis, this article studies an English education translation system based on 5G network virtualization, which provides a theoretical reference for improving the wisdom of subsequent English education

  • It can be seen that the English education translation system based on 5G virtualization constructed in this paper can play an important role in smart English teaching

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Summary

Introduction

With the introduction of the concept of “smart earth,” under the research and development of artificial intelligence, cloud computing, and other technologies, the concept of “smart” has penetrated into all fields of society. Due to the influence of a fixed teaching environment (such as classrooms), the teaching content is generally based on theory and exercises, and students lack sufficient practice and knowledge input and application. With the help of smart teaching tools, teachers can strengthen the learning content in three links before class, during class, and after class, so that the input of knowledge presents a natural ecological inheritance, and the degree of internalization of students’ knowledge is more effective. It balances the learning of basic English knowledge and professional knowledge. Based on the above analysis, this article studies an English education translation system based on 5G network virtualization, which provides a theoretical reference for improving the wisdom of subsequent English education

Related Work
English Education Translation System Based on 5G Network Virtualization
Conclusion

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