Application of Multi-objective Optimization Routing Algorithm in Machine Automatic Translation Quality Evaluation Model
Bo Wang · 2023
Machine automated translation is now the mainstream method of translation, and more and more people are choosing machine automated translation to replace manual translation because the speed of machine automated translation is much faster than manual translation. However, the accuracy of quality evaluation for machine automated translation still needs to be improved. This article studied the application of multi-objective optimization routing algorithms in the quality evaluation model of machine automatic translation, thus aiming to improve the accuracy of machine automatic translation quality evaluation through multi-objective routing algorithms. This article experimentally tested machine automatic translation using multi-objective optimization routing algorithms, with a quality evaluation accuracy of up to 94%. The quality evaluation accuracy of traditional machine automatic translation was as high as 75%. From this experimental result, it could be seen that multi-objective optimization routing algorithms had a high degree of compatibility with machine automatic translation, which could improve the accuracy of quality evaluation for automatic translation.