Application Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching

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 changi...

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Autores principales:	Wanfang Zhang, Hexiao Yin
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/b1b2cd3434564e36a2181c92e6c82bd7
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id	oai:doaj.org-article:b1b2cd3434564e36a2181c92e6c82bd7
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spelling	oai:doaj.org-article:b1b2cd3434564e36a2181c92e6c82bd72021-11-08T02:36:56ZApplication Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching1875-905X10.1155/2021/2592451https://doaj.org/article/b1b2cd3434564e36a2181c92e6c82bd72021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2592451https://doaj.org/toc/1875-905XWith 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.Wanfang ZhangHexiao YinHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Wanfang Zhang Hexiao Yin Application Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching
description	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.
format	article
author	Wanfang Zhang Hexiao Yin
author_facet	Wanfang Zhang Hexiao Yin
author_sort	Wanfang Zhang
title	Application Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching
title_short	Application Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching
title_full	Application Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching
title_fullStr	Application Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching
title_full_unstemmed	Application Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching
title_sort	application strategies of cloud computing intelligent optimization algorithms in english translation major teaching
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/b1b2cd3434564e36a2181c92e6c82bd7
work_keys_str_mv	AT wanfangzhang applicationstrategiesofcloudcomputingintelligentoptimizationalgorithmsinenglishtranslationmajorteaching AT hexiaoyin applicationstrategiesofcloudcomputingintelligentoptimizationalgorithmsinenglishtranslationmajorteaching
_version_	1718443130065256448

Application Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching

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