In the context of the development and prosperity of economic globalization, translation, as a means of information transmission in intercultural communication, plays an increasingly important role. The translation market has an increasing demand for talents, which requires higher quality of talents. However, the training speed of translation talents in colleges and universities is relatively slow. This paper mainly studies the application of computer-aided translation in interpreting learning from the perspective of new liberal arts. This paper first introduces the new arts and computer-aided translation related content, and then discusses the application of computer-aided translation in practical teaching. Through the comparison of the results of pre-test and post-test, it can be seen that the experimental class which applied computer-aided translation in interpreting learning has made great progress, showing a difference with the control class.

Renna Gui. Computer-aided Translation in Interpretation Learning under the New Liberal Arts Horizon. Machine Learning Theory and Practice (2021), Vol. 2, Issue 1: 9-16. https://doi.org/10.38007/ML.2021.020102.

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