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

Sahar Yousif Mohammed (), Abed Shahooth Khalaf (), Mohammed Aljanabi and Maad M. Mijwil ()
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Sahar Yousif Mohammed: Anbar University
Abed Shahooth Khalaf: Anbar University
Mohammed Aljanabi: Al-Iraqia University
Maad M. Mijwil: Baghdad College of Economic Sciences University

A chapter in Sustainability and Financial Services in the Digital Age, 2024, pp 107-117 from Springer

Abstract: Abstract 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.

Keywords: Artificial intelligence; GAN; Translation studies (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-67511-9_7

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DOI: 10.1007/978-3-031-67511-9_7

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