Title: Computer aided translation technology based on edge computing intelligent algorithm

Authors: Guolan Yang; Weina Xu

Addresses: School of Basic Education, Chongqing Industry and Trade Polytechnic, Fuling 408000, Chongqing, China ' College of Humanities, Shandong Agriculture and Engineering University, Ji'nan 250100, Shandong, China

Abstract: To explore the computer-aided translation technology based on the intelligent algorithm of edge computing. This paper presents the research on computer-aided translation technology based on edge computing intelligent algorithm. In the K-means computer edge algorithm, it analyses the traditional way of average resource allocation and the way of virtual machine allocation. In the process of online solution, we have a more detailed understanding of the data information at the edge, and also avoid the connection relationship between network users and the platform, which has a certain impact on the internal operation efficiency of the system. The network user group is divided into several different types of existence through K-means computer algorithm, and various information resources are counted according to their own characteristics. Computer-aided translation technology can significantly improve the quality of translation, improve the translation efficiency, and reduce the translation cost.

Keywords: K-means system; translation technology; edge algorithm; base station; KDSAA algorithm; computer-assisted.

DOI: 10.1504/IJDMB.2024.139480

International Journal of Data Mining and Bioinformatics, 2024 Vol.28 No.3/4, pp.320 - 339

Received: 01 Mar 2023
Accepted: 22 Sep 2023
Published online: 02 Jul 2024 *

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