Model training method, machine translation method, computer device, and storage medium
US12373654B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 11, 2021 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Jan 28, 2044 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of this application disclose a neural network model training method, a machine translation method, a computer device, and a storage medium. The method includes: obtaining a training sample set including a training sample and a standard tag vector corresponding to the training sample; inputting the training sample into a neural network model including a plurality of attention networks to obtain a feature fusion vector; obtaining a predicted tag vector according to the feature fusion vector, and performing adjustment on a model parameter of the neural network model until a convergence condition is met to obtain a target neural network model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.