English-Vietnamese machine translation model based on sequence to sequence algorithm
- Resource Type
- Conference
- Authors
- Jiang, Hao; He, Yue; Liao, Mengfan; Jing, Yanmei; Zhang, Chao
- Source
- 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC) Technology and Mechatronics Engineering Conference (ITOEC), 2020 IEEE 5th Information. :1086-1091 Jun, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Robotics and Control Systems
Transportation
Decoding
Encoding
Neural networks
Heuristic algorithms
Training
Semantics
Data models
sequence to sequence
attention algorithm
machine translation
- Language
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.