Optimization of Chinese-English machine translation based on neural networks

One kind of Chinese-English machine translation is a statistics-based method, which trains machine translation models on the basis of statistics and machine learning theories based on a large number of manually labeled translation corpus. In this paper, an optimization method of Chinese-English machine translation based on neural network is proposed, and the optimization model of Chinese-English translation is established, trained and tested. The experimental results show that compared with the traditional statistics-based and rule-based methods, the proposed optimization method has a significant improvement in accuracy and recall rate.