Practice and research of computer-aided medical translation based on big data

Abstract

Medical translation significantly influences medical teaching and medical communication, so high-quality medical translation plays an important role in promoting medical development and innovation. Based on the big data era background, this paper studies the practical effects of computer-assisted translation in medical translation. This article first introduces the relevant computer-assisted translation tools in the era of big data, then introduces the innovations and shortcomings of machine translation in the field of translation, and then explains the characteristics of medical translation. In addition, it also analyzes the application of computer-assisted translation in medical translation. Finally, the medical translation effects of machine translation, traditional translation, and computer-aided translation are compared through experiments. The results show that the accuracy rate of machine translation is 67.5%, the accuracy conventional translation rate is 95.4%, and the accuracy rate of computer-aided translation is 87.3%.