Construction of English-assisted Translation Learning System Based on Association Rules Mining

The educational goal of college English is to cultivate students' English application ability and improve cross-cultural communication awareness and communication ability. On the one hand, applying computer-assisted translation to translation teaching can stimulate students' learning motivation and make them form active discovery learning methods; on the other hand, it can extend students' classroom teaching, absorb more relevant knowledge and achieve the optimization of teaching. Under the background of information age, the main purpose of English-assisted translation learning system is to assist students to be more autonomous, personalized and flexible in learning English, so as to improve students' comprehensive English ability and cultural communication ability. Based on the association rule mining algorithm, this paper studies the effect of corpus-based English blended learning model. Combining massive open online courses and corpus-driven mixed teaching mode, this paper puts forward corresponding improved algorithms for the problems existing in current translation software, and constructs an English-assisted translation learning system based on association rule mining algorithm.