Abstract:

In the era of Language Intelligence, translation pedagogy ushers into a more diverse and complex landscape, knowledge within this system broadens deeper than ever, but students’ learning didn’t go to depth with the development of technology. The shallow learning-based education model is no longer suitable for the current translation pedagogy and its knowledge translation production and spreading. This paper aims to explore innovative pathways to address the predicament in talent cultivation. With Transknowletology as its core, this paper elucidates the concept, content and scope of deep learning and puts forward the model for translation technology education combined with deep learning and knowledge system. Lastly, this paper attempts to construct an efficient and scientific path of enhancing translation technological thinking skills, in a bid to enhance the knowledge translation development and acceptance.

Key words: Transknowletology, Deep Learning, Model for Translation Technology Education, Translation Technological Thinking