Construction of English Aided Translation Learning System Based on Decision Tree Classification Algorithm

Abstract

English-assisted translation is one of the basic subjects for students to learn. Teachers are influenced by traditional teaching concepts in the process of English-assisted translation learning system. Using a single English-assisted translation learning system to guide students in English translation can not really expand students’ logical thinking consciousness and stimulate students’ enthusiasm for English translation. English-assisted translation learning system is never perfect. Bilingual sentence pairs are often wrongly arranged sentence by sentence, or due to human error, these sentences can not translate each other well. English translation-assisted learning system urgently needs an algorithm to optimize it. The decision tree classification algorithm is helpful for students to construct knowledge in English assisted translation. Through the decision tree classification algorithm, this paper can understand the relationship between the indicators of the construction of English assisted translation learning system, so as to guide students’ English assisted translation, so as to improve the construction of students’ English assisted translation learning system.