Analysis of translation teaching skills in colleges and universities based on deep learning

被引:0
|
作者
Liu, Yan [1 ]
Li, Shuhua [1 ]
Cui, Dan [2 ,3 ,4 ]
机构
[1] Jilin Normal Univ, Sch Foreign Languages, Siping 136000, Jilin, Peoples R China
[2] Beijing Foreign Studies Univ, Sch English Specif Purposes, Beijing, Peoples R China
[3] Jilin Int Studies Univ, Inst Int Language & Culture, Changchun 130117, Jilin, Peoples R China
[4] Yanbian Univ, Coll Foreign Languages, Yanji 133002, Jilin, Peoples R China
关键词
Deep learning; Colleges and universities; Translation education; Machine learning applications; Teaching strategy;
D O I
10.1016/j.chb.2024.108212
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
With the progress of the times and the improvement of science and technique, network message technique has occupied a vital position in people's lives. At the same time, society has been implementing university English education reform in recent years, and the "internet plus" wisdom education model is the product of the improvement of the times. This new education model has gradually integrated into the education of various subjects. Introducing the concept of message technique and wisdom education into university translation education can innovate education mode, optimize education content, and integrate high-quality education resources. Cultivating applied translators has become the trend of educational reform. Based on deep learning, this paper studies translation education skills in universities. In-depth education enables learners to acquire systematic knowledge, critical spirit, creative thinking, etc. This kind of learning fully taps individual potential to cultivate a complete personality. According to the research in this paper, wisdom education is 12% better than traditional education, and it is suitable to be widely put into practice.
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页数:9
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