Cross-lingual regularization for multilingual generalization
US11829727B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 23, 2021 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Feb 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Approaches for cross-lingual regularization for multilingual generalization include a method for training a natural language processing (NLP) deep learning module. The method includes accessing a first dataset having a first training data entry, the first training data entry including one or more natural language input text strings in a first language; translating at least one of the one or more natural language input text strings of the first training data entry from the first language to a second language; creating a second training data entry by starting with the first training data entry and substituting the at least one of the natural language input text strings in the first language with the translation of the at least one of the natural language input text strings in the second language; adding the second training data entry to a second dataset; and training the deep learning module using the second dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.