Construction of College English Translation Teaching System from the Perspective of Fuzzy Linguistics

In order to improve the teaching effect of college English translation, this paper constructs an intelligent teaching system suitable for translation teaching, and determines the overall structure of intelligent English translation learning model supported by artificial intelligence, so as to provide basis for the implementation and development of intelligent learning. According to the intelligent learning model, this paper puts forward a subject knowledge map that can accurately depict the subject ability through problem solving or task completion. Moreover, based on the subject knowledge map, this paper puts forward the method of portraying learners’ portraits and recommending personalized learning services, which provides a guarantee for the realization of English translation intelligent learning system. In addition, the cloud integrated intelligent learning system is designed. From the experimental evaluation results, it can be seen that the model proposed in this paper has high teaching effect score, good teaching effect and good practical effect after expert evaluation, which is worth popularizing in the follow-up college English translation teaching.