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Challenges and Opportunities in Translation Studies: The Evolving Role of Generative AI in Translation Development

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• First Online: 22 October 2024
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• Sahar Yousif Mohammed   ORCID: orcid.org/0000-0001-7692-1381 3 ,
• Abed Shahooth Khalaf 3 ,
• Mohammed Aljanabi   ORCID: orcid.org/0000-0002-6374-3560 4 , 5 &
• Maad M. Mijwil   ORCID: orcid.org/0000-0002-2884-2504 6  

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Generative AI is transforming translation research, advancing translation progress. Generative AI’s translation challenges and benefits are examined in this article. Early translation was shaped by rule-based frameworks and statistical models. Precision and context comprehension were limited by this method. Generative AI, especially neural machine translation and GPT (Generative Pre-trained Transformer), has revolutionized translation methods. The above advancements have substantially increased translation accuracy, fluency, and contextual awareness while addressing linguistic intricacies, domain-specific vocabulary, and cultural allusions. Despite these improvements, languages with limited resources, language translation, and linguistic variation preservation remain difficulties. However, Generative AI research continues to expand translation studies and offer promising solutions and innovative methods. This essay examines Generative AI’s shifting role in translation, emphasizing its profound impact and anticipating future translation studies research and deployment.

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Translation Department, Factuality of Arts, Anbar University, Ramadi, Al Anbar, Iraq

Sahar Yousif Mohammed & Abed Shahooth Khalaf

Department of Computer, College of Education, Al-Iraqia University, Baghdad, Iraq

Mohammed Aljanabi

Imam Ja’afar Al-Sadiq University, Baghdad, Iraq

Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq

Maad M. Mijwil

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Correspondence to Maad M. Mijwil .

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University of Sousse, Monastir, Tunisia

Nadia Mansour

University of Salamanca-Spain, Salamanca, Spain

Lorenzo M. Bujosa Vadell

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Mohammed, S.Y., Khalaf, A.S., Aljanabi, M., Mijwil, M.M. (2024). Challenges and Opportunities in Translation Studies: The Evolving Role of Generative AI in Translation Development. In: Mansour, N., Bujosa Vadell, L.M. (eds) Sustainability and Financial Services in the Digital Age. EUROCRYPT 1988. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-67511-9_7

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Published : 22 October 2024

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Applied translation studies and transdisciplinary action research: Understanding, learning and transforming translation in professional contexts

Proceeding from accepted shared definitions of applied linguistics that stress its practical, real-world orientation and instrumentality, this article seeks to move the focus from the interdisciplinarity that has been identified as the nexus of translation studies in the past to how its applied branches should systematically engage with an emerging transdisciplinary research paradigm. It argues that the shift can and will be a key factor, challenge and opportunity in the onward development of applied translation studies as it seeks to adequately address the situated realities of professional translation. The article reveals how transdisciplinarity, operationalised as action research, offers a viable framework for investigating, understanding and learning about what translators really do in working contexts and settings, with a view to identifying issues, improving practices, processes and performance, and ultimately transforming the profession for the good of those it employs and se...

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