Construction of English Intelligent Translation Software Framework Based on Data Analysis Algorithm

Abstract

In the era of “Internet + education,” the information technology and learning methods of college students have become inseparable. The rapid development of intelligent translation software can provide convenience for English-Chinese translation and computer English learning and simultaneously improve the quality and efficiency of professional English learning. Under such background, the English teaching of software majors is chosen as the breakthrough to analyze the measures of applying intelligent translation software during the teaching process. Therefore, a data mining algorithm including cluster analysis and BP neural network model is designed. Then, the cluster analysis algorithm is used to classify the data in different forms, which can improve the data utilization efficiency. In addition, K-means algorithm based on feature selection is improved to achieve better performance. In the comparison of translation speed and matching rate, our method is much better than other software.

The Need to Use Translation Software in the Classroom: Perception of Chinese International Engineering College Students in Language Learning

“…For this kind of language learning problem, there are many ways to help students learn better, such as listening to English songs and watching English movies. In the era of "Internet + education", college students' information technology and learning styles have become inseparable [3]. Translation is one of the most common and important methods of learning languages and learners at every level find translating very helpful [4].…”

Retracted: Construction of English Intelligent Translation Software Framework Based on Data Analysis Algorithm

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”