Artificial Intelligence And Translation Support In Esp Education: Opportunities And Challenges
Auteurs : Boureguig Abdelkrim .
Résumé
The emergence of Artificial Intelligence (AI) has profoundly influenced contemporary educational practices, particularly in the field of language learning. Within English for Specific Purposes (ESP) education, AI-powered translation technologies have become increasingly prevalent as tools that facilitate access to specialized knowledge and support communication across linguistic boundaries. Advances in Neural Machine Translation (NMT), Natural Language Processing (NLP), and adaptive learning systems have significantly improved the quality and accessibility of automated translation services. These developments offer substantial pedagogical benefits, including enhanced comprehension of technical texts, improved acquisition of specialized vocabulary, increased learner autonomy, and greater access to authentic professional materials. Nevertheless, the integration of AI-based translation tools also presents several challenges related to translation accuracy, contextual appropriateness, learner dependence, and academic integrity. This paper critically examines the role of AI-driven translation technologies in ESP education by exploring their theoretical foundations, pedagogical applications, benefits, and limitations. Furthermore, it discusses the evolving role of ESP educators and proposes recommendations for the effective and responsible integration of AI translation tools into language teaching and learning practices.
Mots clés
Artificial Intelligence ; English for Specific Purposes ; Machine Translation ; Neural Machine Translation ; Educational Technology
