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

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.