N-best softmax smoothing for minimum bayes risk training of attention based sequence-to-sequence models
US11551136B2 · kind B2 · utility
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Key dates
| Filing date | Nov 14, 2018 |
| Grant date | Jan 10, 2023 |
| Priority date | — |
| Expiry date | Nov 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus are provided that analyzing sequence-to-sequence data, such as sequence-to-sequence speech data or sequence-to-sequence machine translation data for example, by minimum Bayes risk (MBR) training a sequence-to-sequence model and within introduction of applications of softmax smoothing to an N-best generation of the MBR training of the sequence-to-sequence model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.