Research Article

[Retracted] Design of the Intelligent Recognition Model for English Translation Based on the BP Neural Algorithm

Table 5

Comparison of translation example results.

Translation methodsTranslation content

Statistical methodThere are so many people in this world, it’s fate for everyone. Cherish the time you spend with those around you.
Dynamic memory algorithmThere are so many people in this world, everyone is fate, cherish the time with those around you.
GLR algorithmThere are so many people in this world, it’s fate for everyone. Cherish the time you spend with those around you.
BP neural algorithmThere are so many people in this world, and it is fate for everyone to meet. Cherish the time with people around you.
Human translationThere are so many people in this world, it’s fate for everyone. Cherish the time you spend with those around you.