Model learning apparatus, method and program
US12057107B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 20, 2019 |
| Grant date | Aug 6, 2024 |
| Priority date | — |
| Expiry date | Jun 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0635
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Apparatuses and methods are provided for adding a word or a character to a machine learning model for training the machine learning model. In particular, a model learning apparatus executes operations comprising adding a word or a character to be added to a neural network as a machine learning model to the output layer of the neural network. The operations further comprise calculating an output probability distribution of an output from the output layer of the neural network when a feature amount of the word or the character is input to the neural network. Given the output probability distribution and a correct feature amount of the word or the character, the operations further comprise updating a parameter of the output layer of the neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.