Language identification using recurrent neural networks
US10474753B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2017 |
| Grant date | Nov 12, 2019 |
| Priority date | — |
| Expiry date | Sep 29, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and processes for language identification using recurrent neural networks are provided. An example method includes, at an electronic device, receiving a first typed character of a character sequence and determining a character context of the first typed character based on the first typed character and a second typed character of the character sequence. The method further includes determining a confidence level that the character sequence is associated with a language of a plurality of languages based on the character context of the first typed character, and determining whether the confidence level exceeds a threshold, in accordance with a determination that the confidence level exceeds the threshold, providing the language as a candidate language, and in accordance with a determination that the confidence level does not exceed the threshold, forgoing providing the language as a candidate language.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.