English-Vietnamese machine translation model based on sequence to sequence algorithm

Machine translation is a task in natural language processing that uses computers to convert between different languages. This article introduces an original seq2seq model experiment on the English-Vietnamese data set. By adding the attention mechanism and comparing the results of the model, we find that the attention mechanism can greatly promote machine translation. Using seq2seq and attention mechanism models to achieve the basic functions of the machine model, and has outstanding performance in the experimental results. Using multi-bleu-perl to analyze, the results show that the attention mechanism shows good performance on Vietnamese machine translation tasks.