Design of English Writing System Based on Machine Learning

H. Zhao, Yingshu Yu
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Abstract

Recently, artificial intelligence and machine learning have developed rapidly, but their application in helping learners improve their English writing is very limited. The author designs a new English writing system based on machine learning to improve the level of English writing. In this article, the author introduces the background and development of deep learning, natural language processing and machine translation. Then the author introduces how to build the framework of recurrent neural network, obtain training related data and reliable results by selecting model of sequence to sequence, so as to enhance English writing ability. Finally, the author discusses both the advantages and limitations of selecting data and building models, as well as the direction of future research and improvement.
基于机器学习的英语写作系统设计
近年来,人工智能和机器学习发展迅速,但它们在帮助学习者提高英语写作水平方面的应用非常有限。为了提高英语写作水平,作者设计了一种新的基于机器学习的英语写作系统。在本文中,作者介绍了深度学习、自然语言处理和机器翻译的背景和发展。然后介绍了如何构建递归神经网络的框架,通过序列对序列的选择模型来获得训练相关的数据和可靠的结果,从而提高英语写作能力。最后,作者讨论了选择数据和建立模型的优点和局限性,以及未来研究和改进的方向。
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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