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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| Veröffentlicht in: | Mobile information systems Jg. 2021; S. 1 - 8 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Amsterdam
Hindawi
26.10.2021
John Wiley & Sons, Inc |
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| ISSN: | 1574-017X, 1875-905X |
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| 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. |
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| AbstractList | 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. |
| Author | Yin, Hexiao Zhang, Wanfang |
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| Cites_doi | 10.1097/acm.0000000000002715 10.1038/eye.2017.290 10.18546/LRE.15.1.06 10.1016/j.ajic.2015.10.030 10.12973/iji.2017.10414a 10.4018/joeuc.2018100102 10.1007/s13199-016-0409-8 10.1007/s10643-015-0739-9 10.1016/j.compedu.2018.09.017 10.4300/jgme-d-16-00067.1 10.1016/j.jpdc.2020.03.022 10.1080/21556660.2019.1579729 10.18298/ijlet.1678 10.1002/tesq.326 10.1007/s11159-016-9578-1 10.18546/ijdegl.11.1.06 10.1007/s12576-017-0533-0 |
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| Copyright | Copyright © 2021 Wanfang Zhang and Hexiao Yin. Copyright © 2021 Wanfang Zhang and Hexiao Yin. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| SubjectTerms | Academic achievement Algorithms Application Averages Classrooms Cloud computing Colleges & universities Control groups Curricula Economic development Education Education reform Educational materials Educational technology English language Foreign language learning Groups Higher education Information literacy Information technology Intelligence Literary translation Literature Nodes Online instruction Optimization Optimization algorithms Research applications Social development Social problems Software services Students Teachers Teaching Teaching methods Translation Translation instruction Translation methods and strategies Translations Translators User satisfaction |
| Title | Application Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching |
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