Structural reconstruction of translator competence and pathways for transformation in translation education: a study from the perspective of new-quality productive forces
新质生产力视域下译者能力结构重构与翻译教育转型路径研究

摘要

新质生产力以数字化、网络化、智能化为发展特征，以高科技、高效能、高质量为发展方向，通过科技创新带动产业升级，推动经济社会高质量发展。人工智能、大数据等新一代信息技术改变了传统的语言服务方式和产业结构，成为推动翻译行业转型升级的核心引擎。本文基于新质生产力的理论内涵，剖析其对译者的角色冲击与能力重塑，提出译者能力重构的三维模型。研究发现，新质生产力要求译者从单一的语言转换者向技术驾驭、认知复合、伦理把关的复合型翻译人才转变。文章还探讨了中国高校翻译教育应当如何调整学生培养方案以适应新质生产力的发展，为翻译教育提供参考镜鉴。

Abstract

New-quality productive forces, characterized by digitalization, networking, and intelligentization, aim to drive industrial upgrading through scientific and technological innovation, thereby propelling high-quality socioeconomic development. The rapid advancement of next-generation information technologies, such as Artificial Intelligence (AI) and Big Data, has fundamentally transformed traditional language service paradigms and industrial structures, emerging as a core engine for the transformation and upgrading of the translation industry. Grounded in the theoretical connotation of new-quality productive forces, this paper analyzes the impact of these forces on the translator’s role and the subsequent reshaping of competencies, proposing a three-dimensional model for the reconstruction of translator competence. The study finds that new-quality productive forces necessitate a shift for translators from being single-function language converters to becoming composite talents who possess technological mastery, cognitive complexity, and ethical oversight. Furthermore, the paper discusses how translation education in Chinese universities should adjust talent cultivation schemes to adapt to the development of new-quality productive forces, aiming to provide a reference for translation education.