基于大数据机器学习的智能教学英语翻译系统设计

Chunye Zhang, Tianyue Yu, Yingqi Gao, Mau Luen Tham
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引用次数: 0

摘要

在人工智能的背景下,在英语阅读课堂教学中使用机器翻译是一种比较常见的学习方法。在传统的教学方法中,机器翻译比人工翻译更方便、快捷,但往往会在语法、句式等方面偏离原文。本文基于英语阅读课的视角,对传统翻译和机器翻译进行比较,探讨人工智能作用下英语阅读课中机器翻译现状的未来发展趋势和影响机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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.
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