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Research on Collaborative Path of Artificial Intelligence in English Translation

Author

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  • Wenjing Dong

    (Xinyang College, China)

Abstract

With the acceleration of globalization, artificial intelligence (AI) translation technology has shown great potential in improving the efficiency of language services, but its limitations in semantic accuracy, cultural adaptability, and professional application are increasingly prominent. The existing research on performance evaluation of multi-focus technology lacks systematic discussion on man-machine cooperation mechanism. The authors of this study focused on the collaborative path of AI in English translation, aiming at revealing the competence boundary between AI and human translators in different translation scenarios and constructing an operable collaborative translation framework. They not only provide a practical path for the language service industry to optimize workflow but also point out the innovative direction of integrating humanistic insight and technical rationality for the future evolution of AI translation systems.

Suggested Citation

  • Wenjing Dong, 2026. "Research on Collaborative Path of Artificial Intelligence in English Translation," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global Scientific Publishing, vol. 21(1), pages 1-15, January.
    • Handle: RePEc:igg:jwltt0:v:21:y:2026:i:1:p:1-15
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