Hierarchical models for language modeling
US8977537B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2011 |
| Grant date | Mar 10, 2015 |
| Priority date | — |
| Expiry date | Dec 24, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/44
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The described implementations relate to natural language processing, and more particularly to training a language prior model using a model structure. The language prior model can be trained using parameterized representations of lexical structures such as training sentences, as well as parameterized representations of lexical units such as words or n-grams. During training, the parameterized representations of the lexical structures and the lexical units can be adjusted using the model structure. When the language prior model is trained, the parameterized representations of the lexical structures can reflect how the lexical units were used in the lexical structures.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.