A Study of College English Translation Teaching in the Age of Artificial Intelligence

Zheng, Saisai; Zhu, Shengwen

doi:10.1109/icnisc54316.2021.00188

Cited by 4 publications

(4 citation statements)

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“…The new technological structure of artificial intelligence based on natural language recognition, translation, transfer, and other technological capabilities has provided a more intelligent multichoice for language teaching and learning (Zheng & Zhu, 2021). Various platforms with intelligent features, such as automatic translation evaluation system, parallel comparison of students' translations, and peer evaluation, have been developed to help translation learning (He, 2021).…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Technologies in College English Translation Teaching

Wang

2023

J Psycholinguist Res

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This paper explores the practical prospects for using artificial intelligence technologies in professional English-speaking translator education. At the online conference ‘Translation Skills in Times of Artificial Intelligence’ (DingTalk platform, January 2022), the teachers of higher education institutions in China prioritized the translator’s competencies necessary for successful professional activity during the digital transformation of social and economic business relations. The educators also evaluated the demand for online services used in the education of English–Chinese interpreters. The survey results showed that the use of artificial intelligence technologies in educational practices could have a significant impact on the development of key competencies of future translators. Using a competency-based approach to interpreter training and considering the need to develop abilities, knowledge, and skills required for successful professional translation activity, the author developed the pedagogical concept of the online educational course ‘Simultaneous and asynchronous translation in a digital environment.’

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Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Technologies in College English Translation Teaching

Wang

2023

J Psycholinguist Res

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“…Regarding disciplines, case studies related to English Teaching (ET) (Hou, 2020;Li, 2020;Zheng and Zhu, 2021;Liu and Huang, 2022), engineering (Megahed et al, 2022), music (Dai, 2021), anatomy (Abdellatif et al, 2022) and movement monitoring in the field of physical education stand out among the selected articles. According to Li (2020), the capability of AI technology to accurately distinguish students' grammar mistakes and the opportunity to strengthen students' abilities to converse thanks to speech recognition features confirm the role of AI as an excellent auxiliary to the work of teachers in ET.…”

Section: Students' Assessment and Monitoringmentioning

confidence: 99%

Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era

et al. 2023

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Through a systematic analysis of the literature, this study analyzes the change in the teacher's role triggered by the integration of AI into educational systems. The picture offered by the systematic analysis of the literature conducted in this study reveals a less than total awareness of the urgency with which the challenges imposed by AI in the educational field must be addressed. We propose a manifesto to guide the evolution of the teachers' role according to the paradigm shift concept proposed by Kuhn in the scientific field.

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“…The main principle is to quickly scan the whole scene of its visual interval through the human visual system, select the key target interval from it through the signal processing mechanism of the brain, and put more attention resources into the interval. In the process of English language translation, many key value pairs can be searched through the attention mechanism, and the coincidence degree of such key value pairs can be obtained [13][14][15]. The coincidence degree is proportional to the amount of attention resources allocated.…”

Section: Establishment Of An Adaptive English Language Translation Modelmentioning

confidence: 99%

Research on adaptive model of English translation based on data fusion

Huang

2023

Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022)

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This research is based on the attention mechanism English translation adaptive model. After analyzing the key factors that affect English language translation, the attention mechanism is used to extract the detailed features of such factors in each region to form a feature sample set, and the feature sample set is fused and normalized, so as to obtain a brand-new feature sample set. Input to build an English language translation model and output the translation results, According to the results, the overall translation effect of the model is predicted. The results show that the prediction model of this method has high prediction accuracy in training and testing.

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A Study of College English Translation Teaching in the Age of Artificial Intelligence

Cited by 4 publications

References 0 publications

Artificial Intelligence Technologies in College English Translation Teaching

Artificial Intelligence Technologies in College English Translation Teaching

Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era

Research on adaptive model of English translation based on data fusion

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