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Analysis of the Drawbacks of English-Chinese Intelligent Machine Translation Based on Deep Learning

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 97))

Abstract

Machine translation is an interdisciplinary subject. In terms of subject area, it belongs to an application field of computational linguistics. However, the research of machine translation is based on the three disciplines of linguistics, mathematics and computing technology. Nowadays, the advantage of machine translation is speed, but there are problems such as text grammar errors. Therefore, this article analyzes the disadvantages of English-Chinese intelligent machine translation based on deep learning. First, this article explains the principles of machine translation, and analyzes the shortcomings of English-Chinese intelligent machine translation; then, researches on deep learning algorithms, designs a model for detecting shortcomings of English-Chinese intelligent machine translation, and conducts performance testing on it. The final detection results show that the model can detect long-translated articles, and can well detect sentence grammatical errors caused by machine translation malpractices.

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Acknowledgements

This work was supported by Sichuan Federation of Social Science Associations, Project No. SC16KP026.

Author information

Authors and Affiliations

  1. Department of Nursing, Leshan Vocational and Technical College, Leshan, 614000, Sichuan, China

    Hongmei Li

  2. Department of Electronic and Information Engineering, Leshan Vocational and Technical College, Leshan, 614000, Sichuan, China

    Wei Xiong

Authors
  1. Hongmei Li
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  2. Wei Xiong
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Editor information

Editors and Affiliations

  1. University of Sunderland, Sunderland, UK

    John Macintyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, China

    Xiaomeng Ma

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Li, H., Xiong, W. (2022). Analysis of the Drawbacks of English-Chinese Intelligent Machine Translation Based on Deep Learning. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-89508-2_14

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