Methods and systems for predicting learning curve for statistical machine translation system
US9164961B2 · kind B2 · utility
1Cited by
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24Claims
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Key dates
| Filing date | Nov 30, 2012 |
| Grant date | Oct 20, 2015 |
| Priority date | — |
| Expiry date | Mar 8, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/44
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed embodiments relate to a system and method for predicting the learning curve of an SMT system. A set of anchor points are selected. The set of anchor points correspond to a size of a corpus. Thereafter, a gold curve or a benchmark curve is fitted based on the set of anchor points to determine the BLEU score. Based on the BLEU score and a set of parameters associated with the first set of anchor points, a confidence score is computed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.