Application of Computer Big Data Technology in the Teaching of Interpretation and Translation

Abstract

With the era of progress and development of technology, and the popularization of computer technology, Internet users are also increasing day by day, resulting in massive amounts of data. Meanwhile, big data technology is gradually improving and achieving a wide range of applications. Big data technology can extract the required effective data from a large amount of messy data and perform statistical analysis. Thereby improving teaching efficiency. The purpose of this article is to study the application of big data technology (ABDT) in the teaching of interpretation and translation (IAT). This article secondly describes the ABDT in the teaching of IAT, and collects and analyzes the teaching data of IAT through big data technology. This article analyzes various difficulties encountered in practical application of oral and written translation teaching through practical research, including difficulties in translation skills, cognitive difficulties in the process of note-taking, and difficulties in lack of professional vocabulary. Finally, according to various application difficulties, relevant coping strategies are proposed to improve the quality of IAT teaching. The experimental research results show that before applying big data technology in teaching, the teaching effects of various indicators are 71.48%, 73.19% and 65.94% respectively. After application, the teaching effects of various indicators are 85.61%, 81.52% and 86.37 respectively. %. From the perspective of the whole day, after applying big data, the teaching effect has been significantly improved.