Method and apparatus for distribution-based language model adaptation
US7043422B2 · kind B2 · utility
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Key dates
| Filing date | Sep 4, 2001 |
| Grant date | May 9, 2006 |
| Priority date | — |
| Expiry date | Jul 25, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/1815
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus are provided for adapting a language model to a task-specific domain. Under the method and apparatus, the relative frequency of n-grams in a small training set (i.e. task-specific training data set) and the relative frequency of n-grams in a large training set (i.e. out-of-domain training data set) are used to weight a distribution count of n-grams in the large training set. The weighted distributions are then used to form a modified language model by identifying probabilities for n-grams from the weighted distributions.
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