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Qilin Xuan, & Yan Yang. (2024). New Developments in English Teaching and Translation Methods in the Converged Media Environment: An AI-Based Analysis. Intelligent Systems & Robotic Mechanics, 1(1), 1–10. https://ojs.sgsci.org/journals/isrm/article/view/269
Volume 1, Issue 1, 2024

New Developments in English Teaching and Translation Methods in the Converged Media Environment: An AI-Based Analysis

The rapid evolution of converged media has fundamentally transformed modes of information dissemination, presenting new opportunities and challenges for English teaching and translation methods. Concurrently, the rapid advancement of artificial intelligence (AI) technologies offers robust technical support for language education and translation practices. This study investigates the applications and innovations of AI in English teaching and translation within the context of converged media, with a focus on its role and potential in optimizing teaching methodologies, enhancing translation efficiency, and facilitating cross-cultural communication. By employing literature analysis and case studies, this paper summarizes practical models of AI technology in English education and translation and proposes strategies tailored to the characteristics of converged media. These findings aim to provide valuable insights for future research and practice in related fields.

Converged media environment; English teaching; translation methods; artificial intelligence (AI); language education innovation

References

  1. Chen X. Integration and Development of Traditional Media and New Media under the “Internet+” Model. News Communication 2023; 12: 52–54.
  2. Yu R. Exploration of Multimodal Paths Empowered by Digital Media for Cultural Exchange. Journal of Liaoning University of Technology 2023; 25(05): 79–82.
  3. Wang K. Exploration of the “Four-in-One” Model for Short Video-Based Educational Mechanisms in Universities: A Case Study of the “Weida Employment Service Center” Video Channel. Journal of News Research 2023; 14(17): 71–73.
  4. Zhu L. Application of Multimodal Discourse Analysis in High School English Listening Comprehension Teaching. Master’s Thesis, Minnan Normal University, Zhangzhou, China, 2023.
  5. Liu Z, Liu H, Xu C, et al. Language Learning Tasks and Activities Based on a Digital Media Smart Learning System. Digital Teaching in Primary and Secondary Schools 2022; 11: 29–33.
  6. Yoav G. Natural Language Processing Based on Deep Learning. Journal of Chinese Information Processing 2021; 35(8): 145–145.
  7. Wang L. Action Research on the Application of Multiliteracy Teaching Methods in High School English Reading Teaching; Liaocheng University: Liaocheng, China, 2023.
  8. Jiao P, Li Y. Multimodal Translation and Communication of Chinese Poetry and Painting: A Comprehensive Text Perspective. Theory and Practice in Foreign Language Teaching 2023; 1: 86–97.
  9. Wang J. Design and Implementation of an Intelligent Writing System Based on Large Language Model Architecture. Information and Computers 2023; 35(22): 130–132.
  10. Li Y, Pang J, Tan B. A Comparative Study of Artificial Intelligence and Human Creativity: A Dual Perspective of Experts and Consumers. Business Economics and Management 2023; 10: 23–35.
  11. Wang X, Ai J. Exploration of Cultural Contextual Factors in Translation. Journal of Northeast Agricultural University 2010; 8(06): 70–72.

Supporting Agencies

  1. Funding: Not applicable.