A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Two-Way Neural Network Chinese-English Machine Translation Model Fused with Attention Mechanism
2022
Scientific Programming
This study uses an end-to-end encoder-decoder structure to build a machine translation model, allowing the machine to automatically learn features and transform the corpus data into distributed representations. The word vector uses a neural network to achieve direct mapping. Research on constructing neural machine translation models for different neural network structures. Based on the translation model of the LSTM network, the gate valve mechanism reduces the gradient attenuation and improves
doi:10.1155/2022/1270700
fatcat:jxpmbauk35byrmvclo4f5qxkji