Artificial Intelligence in Translation: Challenges and Opportunities
DOI:
https://doi.org/10.69760/aghel.02500108Keywords:
AI Translation, Hybrid Models, Cultural Sensitivity, Ethical FrameworksAbstract
This article explores the transformative impact of artificial intelligence (AI) on translation, examining its opportunities and challenges. AI has revolutionized the field by enhancing accessibility, speed, and scalability, making language services available to a global audience. Tools powered by neural machine translation (NMT) have improved translation accuracy and efficiency, facilitating real-time communication across languages. However, significant challenges persist, including difficulties with idiomatic expressions, cultural sensitivity, and ethical concerns in sensitive fields such as legal and medical translation. The article advocates for hybrid translation models, improved training datasets, and ethical frameworks to address these limitations. By integrating AI’s technological strengths with human expertise, the future of translation can balance efficiency with cultural and linguistic integrity, fostering effective global communication.
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