Parameter adjustment method used for statistical machine translation
US9460087B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Dec 2, 2013 |
| Grant date | Oct 4, 2016 |
| Priority date | — |
| Expiry date | Dec 2, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/58
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention relates to a parameter adjustment method. The parameter adjustment method used for statistical machine translation comprises: step 1: using a monolingual corpus to construct a language model required for translation; step 2: using a bilingual parallel corpus to construct a translation model; and step 3: using a target function to adjust a parameter. The method can solve problems in prior art that the parameter is easily over-fit or falls into a local optimum during a parameter adjustment process, and the method is easy to implement and can combine a larger number of features. In addition, the target function is convex; therefore, global optimum can be achieved in a training process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.