Application of Neural Network Machine Translation in College Translation Teaching

Wenming Zhang, Erwen Zhang

Abstract


Currently the booming development of machine translation based on neural networks causes great concerns in teachers and students who focus on linguistics and translation studies. They are eager to know the answers to these questions: How good results can the machine translation, especially neural network machine translation achieve? What are the advantages and disadvantages of machine translation? To what level can the quality of machine translation be developed in the future? Can it replace human translators? How does college translation teaching adapt to the development of machine translation and embark on the corresponding teaching reforms? This paper attempts to answer the above questions based on a comprehensive technical analysis.

Keywords


Neural network machine translation, deep learning, college translation teaching

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Copyright (c) 2019 Wenming Zhang, Erwen Zhang


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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