Abstract
With the development of social economy, English is still the main language of global communication, and China’s demand for English translators is also higher and higher. In college education, English translation is a very popular and important subject. Although the teaching mode is constantly changing, it still lags behind the speed of social and economic development. Traditional English translation teaching has many disadvantages in teaching theory and methods. This paper discusses the problems existing in translation teaching for English majors and then puts forward a new teaching mode of educational multiattitude resources, to really improve the quality of translation teaching for English majors. The resource pool of cloud computing is composed of a large number of resource nodes with different performances, but as the number of users gradually grows, the demand also increases. How to efficiently allocate large-scale cloud tasks to limited resource nodes and to achieve load balancing is an important issue that needs to be studied in cloud computing. This paper first uses the literature method, in-depth study of the theoretical development, and application bottleneck of education multiposture teaching mode at the same time to understand the problems existing in the current English translation teaching and design a new teaching mode for experimental application research and finally analyzes the comparison of the English translation ability of the control group and the experimental group without teaching method. After a period of experiment, the average score of the control group is 70.53, and the average score of the experimental group is 75.89. It can be seen that the average score of the experimental group is about 5 points higher than that of the control group; this shows that the intelligent optimization algorithm of cloud computing is combined with translation teaching that can improve the students’ overall English translation level to a certain extent and is more conducive to the students’ comprehensive mastery of knowledge.
Highlights
With the advent of the information age, the rapid development of information technology represented by computers, networks, and information equipment has greatly changed people’s work, English translation studies, and lifestyles. e application of information technology in the field of education and the deep integration of English teaching has promoted the development of education informatization. e level of informatization of education indicates the degree of informatization of the country, and the key to the informatization of education is to have a group of high-quality teachers
Teachers can design courses according to the characteristics of their respective subjects, integrate teaching resources, and improve teaching and learning methods. e application of cloud computing technology to foreign language teaching will promote the new development of foreign language teaching concepts, models, content, and teaching effects so that the level of foreign language teaching informatization will reach a new height
Experiments on the Application Strategy of Cloud Computing Intelligent Optimization Algorithm in the Teaching of English Translation Major e current situation of teaching research on educational multiposture resources is mainly based on theoretical research, on practice, and the selected research elements are not comprehensive enough. erefore, this paper chooses a college English translation education for teaching research experiment; the purpose is to compare the traditional English translation education to highlight the teaching achievements of multiattitude education resources in English translation teaching
Summary
Received 23 August 2021; Revised 30 September 2021; Accepted 15 October 2021; Published 26 October 2021. Is paper first uses the literature method, in-depth study of the theoretical development, and application bottleneck of education multiposture teaching mode at the same time to understand the problems existing in the current English translation teaching and design a new teaching mode for experimental application research and analyzes the comparison of the English translation ability of the control group and the experimental group without teaching method. It can be seen that the average score of the experimental group is about 5 points higher than that of the control group; this shows that the intelligent optimization algorithm of cloud computing is combined with translation teaching that can improve the students’ overall English translation level to a certain extent and is more conducive to the students’ comprehensive mastery of knowledge
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