Research Article

The Role of AI-Driven Systems in Enhancing Translation Competence and Socio-Cultural Mediation

Authors

  • Keivan Seyyedi Department of Translation, Cihan University-Erbil, Kurdistan Region, Iraq
  • Fereydoon Rasouli Department of Translation, Cihan University-Erbil, Kurdistan Region, Iraq
  • Hoshyar Azaldin Department of Technical Translation, Polytechnic University- Erbil, Kurdistan Region, Iraq

Abstract

Artificial Intelligence (AI) has entirely changed the translation industry. Neural machine translation (NMT) and various AI-driven technologies have significantly enhanced translation abilities, resulting in faster, more precise, and more effective translations. Sociocultural negotiation—adapting to arrangements suitable for the culture and context—remains a challenge for AI systems. This paper examines the advantages and disadvantages of this technology, as well as the role of AI in developing translation abilities and sociocultural negotiation. Although AI machines can provide a helping hand in processing and assist with language tasks, they are not yet equipped with the cultural knowledge necessary to produce high-quality translations, especially in sensitive areas such as literary, legal, and medical translation. The paper also discusses the growing role of human know-how and the ethics of AI in translation, with a focus on the collaboration between human translators and AI technology. Incorporating AI devices into business translation activities can yield more professional outcomes without compromising cultural and contextual precision within the original text. In the long term, the future of translation is integrating AI with human expertise.

Article information

Journal

International Journal of Translation and Interpretation Studies

Volume (Issue)

5 (4)

Pages

17-20

Published

2025-10-17

How to Cite

Seyyedi, K., Fereydoon Rasouli, & Hoshyar Azaldin. (2025). The Role of AI-Driven Systems in Enhancing Translation Competence and Socio-Cultural Mediation. International Journal of Translation and Interpretation Studies, 5(4), 17-20. https://doi.org/10.32996/ijtis.2025.5.4.3

Downloads

Views

39

Downloads

14

Keywords:

AI-Driven Translation; Neural Machine Translation; Translation Competence; Socio-cultural Mediation; Machine Learning in translation