Adaptation of statistical parsers based on mathematical transform
US7308400B2 · kind B2 · utility
2Cited by
9References
25Claims
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Key dates
| Filing date | Dec 14, 2000 |
| Grant date | Dec 11, 2007 |
| Priority date | — |
| Expiry date | Sep 27, 2022 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/216
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An arrangement for adapting statistical parsers to new data using a mathematical transform, particularly a Markov transform. In particular, it is assumed that an initial statistical parser is available and a batch of new data is given. The initial model is mapped to a new model by a Markov matrix, each of whose rows sums to one. In the unsupervised setup, where “true” parses are missing, the transform matrix is obtained by maximizing the log likelihood of the parses of test data decoded using the model before adaptation. The proposed algorithm can be applied to supervised adaptation, as well.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.