Language modeling based on spoken and unspeakable corpuses
US9761220B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2015 |
| Grant date | Sep 12, 2017 |
| Priority date | — |
| Expiry date | Jun 22, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0635
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer system for language modeling may collect training data from one or more information sources, generate a spoken corpus containing text of transcribed speech, and generate a typed corpus containing typed text. The computer system may derive feature vectors from the spoken corpus, analyze the typed corpus to determine feature vectors representing items of typed text, and generate an unspeakable corpus by filtering the typed corpus to remove each item of typed text represented by a feature vector that is within a similarity threshold of a feature vector derived from the spoken corpus. The computer system may derive feature vectors from the unspeakable corpus and train a classifier to perform discriminative data selection for language modeling based on the feature vectors derived from the spoken corpus and the feature vectors derived from the unspeakable corpus.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.