Translation Studies from the Perspective of Corpus Translation Studies and Digital Humanities

Abstract

As a translation research method and paradigm, corpus translation studies have gradually gained attention from the translation community since their introduction to China in the 1970s. With the rapid development of information technology and artificial intelligence, corpus translation studies have continuously made new progress. With the support of digital humanities technologies such as Big data, artificial intelligence and cloud computing, the development of corpus translatology presents new features and trends. This article explores the application of corpus translation studies in translation studies from both theoretical and practical perspectives. At the theoretical level, this article believes that corpus translation studies have significant implications for the paradigm shift, theoretical innovation, and disciplinary development of translation studies. At the practical level, this article points out that corpus translation studies have strong data support, which can improve the efficiency and accuracy of translation research. Based on this, this article proposes that future translation research should focus on data-driven research paradigms, attach importance to the important role of data in translation, and build a theoretical model of translation studies on this basis, in order to provide theoretical guidance for comprehensively improving the quality of translation research.