Domestic Research on Computer-Assisted Translation: Frontier Hot Spots and Evolutionary Paths

Abstract

In recent years, computer-assisted translation is one of the important teaching contents in MTI majors, and the discussion of its content helps to cultivate students' translation ability. Based on the bibliometric theory and CiteSpace analysis tool, this paper systematically combed the domestic computer-assisted translation literature in the past ten years, and analyzed the knowledge mapping from the aspects of keyword co-occurrence, keyword clustering, keyword mutation, etc., in order to explore the frontier hotspots of the research in this field and its evolution path. The results show that computer-assisted translation has significant development prospects, and its research content covers a wide range and tends to be diverse. Based on the research results, this paper also makes an outlook on the further development of this field.