Design of network online translation system based on deep neural network algorithm

Abstract

With the gradual advancement of internationalization and the popularization of computer networks, the information network era has had a great impact on people's daily lives. The widespread application of computer networks also brings new opportunities and challenges to translation teaching. The practice of computer technology in translation teaching stems from the development of theoretical courses and the improvement of requirements, which makes the use of computer networks in translation teaching more and more. This paper tests the impact of computer network translation teaching on students’ translation ability and finds that under this mode of teaching, students’ word translation level has increased by 20%, phrase translation level has increased by 50%, long sentence translation level and article translation level have increased by 15.28 %, the oral translation level has increased by 30.43%, which proves that the teaching mode can improve the teaching level and improve the quality of teaching.