Methods for using manual phrase alignment data to generate translation models for statistical machine translation
US8229728B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 4, 2008 |
| Grant date | Jul 24, 2012 |
| Priority date | — |
| Expiry date | Jun 2, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/45
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention adopts the fundamental architecture of a statistical machine translation system which utilizes statistical models learned from the training data and does not require expert knowledge for rule-based machine translation systems. Out of the training parallel data, a certain amount of sentence pairs are selected for manual alignment. These sentences are aligned at the phrase level instead of at the word level. Depending on the size of the training data, the optimal amount for manual alignment may vary. The alignment is done using an alignment tool with a graphical user interface which is convenient and intuitive to the users. Manually aligned data are then utilized to improve the automatic word alignment component. Model combination methods are also introduced to improve the accuracy and the coverage of statistical models for the task of statistical machine translation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.