Adaptive language translation using context features
US11947925B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 21, 2020 |
| Grant date | Apr 2, 2024 |
| Priority date | — |
| Expiry date | Dec 30, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A user input in a source language is received. A set of contextual data is received. The user input is encoded into a user input feature vector. The set of contextual data is encoded into a context feature vector. The user input feature vector and the context feature vector are used to generate a fusion vector. An adaptive neural network is trained to identify a second context feature vector, based on the fusion vector. A second user input in the source language is received for translation into a target language. The adaptive neural network is used to determine, based on the second context feature vector, a second user input feature vector. The second user input feature vector is decoded, based on the source language and the target language, into a target language output. A user is notified of the target language output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.