Evolving L2 Translation Competence in Light of Technological Turn

This paper explores the evolving landscape of second language (L2) translation competence in the context of technological advancements, particularly the impact of generative artificial intelligence (GenAI) and large language models. It addresses the growing need for L2 translation in response to globalization, the prominence of English as a global lingua franca, and market demands. The paper critically examines traditional views on directionality, notably the native-speaker principle, and explores how translator training must adapt to equip students with both linguistic and technological competences. A key focus is the integration of translation technologies, such as neural machine translation and GenAI, into translator training programs. It emphasizes the importance of developing critical digital literacy, ethical awareness, and adaptability, alongside traditional linguistic skills. The paper also offers practical training strategies and classroom activities to foster L2 translation competence, encouraging students to engage critically with technological tools while preserving the communicative intent of the text. In conclusion, the paper advocates for a dynamic, integrative approach to translation competence that prepares future professionals to navigate and leverage technological innovations in the translation field.