
US Patent No: 5,839,106
Number of patents in Portfolio can not be more than 2000
Large-vocabulary speech recognition using an integrated syntactic and semantic statistical language model
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Nov 17, 1998
Issued date -
Dec 17, 1996
filing date -
08/768,122
serial no -
In Force
status
Importance
Abstract
Methods and apparatus for performing large-vocabulary speech recognition employing an integrated syntactic and semantic statistical language model. In an exemplary embodiment, a stochastic language model is developed using a hybrid paradigm in which latent semantic analysis is combined with, and subordinated to, a conventional n-gram paradigm. The hybrid paradigm provides an estimate of the likelihood that a particular word, chosen from an underlying vocabulary will occur given a prevailing contextual history. The estimate is computed as a conditional probability that a word will occur given an "integrated" history combining an n-word, syntactic-type history with a semantic-type history based on a much larger contextual framework. Thus, the exemplary embodiment seamlessly blends local language structures with global usage patterns to provide, in a single language model, the proficiency of a short-horizon, syntactic model with the large-span effectiveness of semantic analysis.
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International Classification(s)
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Cited Art
| Patent Info | (Count) | # Cites | Year |
|---|---|---|---|
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| 5,384,892 Dynamic language model for speech recognition | 174 | 1992 | |
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| 5,502,774 Automatic recognition of a consistent message using multiple complimentary sources of information | 111 | 1994 | |