Chunye Zhang, Tianyue Yu, Yingqi Gao, Mau Luen Tham
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Design of a Smart Teaching English Translation System Based on Big Data Machine Learning
In the context of artificial intelligence, the use of machine translation in English reading classroom teaching is a more common learning method. In traditional teaching methods, machine translation is more convenient and faster than human translation, but it often deviates from the original text in terms of grammar and sentence pattern. Based on the perspective of English reading class, this paper compares traditional and machine translation, and discusses the future development trend and influence mechanism of the current situation of using machine translation in English reading class under the effect of artificial intelligence.