Scientific Development Research

Against the backdrop of the rapid development of artificial intelligence technology reshaping the translation ecology, clarifying the evolution law of translation technology, optimizing translation practice models, and constructing a core competence system for translators adapted to the needs of the times are of great significance for the training of translation talents and the high-quality development of translation discipline. Taking the translation ecology in the artificial intelligence era as the research object, this paper adopts the methods of literature review, comparative analysis and case study to systematically sort out the evolution process of translation technology, comprehensively compare the advantages and limitations of machine translation and human translation, and deeply explore the application value and implementation path of the new "machine translation + post-editing" model combined with post-editing practice cases. The research results show that the "machine translation + post-editing" model can realize the organic integration of machine efficiency and human quality, and is the mainstream development direction of the translation industry in the artificial intelligence era; on this basis, this paper constructs a core competence system for translators covering traditional translation competence, post-editing competence, translation tool application competence and basic computer competence. This system can provide practical theoretical reference and practical guidance for the formulation of translation talent training programs, the promotion of translation teaching reform and the research of translation discipline, helping the translation industry adapt to technological changes and achieve sustainable development.

The era of artificial intelligence; Translation technology; Translators' core competencies