Method and system for using rule-based knowledge to build a class-based domain specific statistical language model
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United States of America Patent
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Sep 25, 2007
Grant Date -
N/A
app pub date -
Sep 30, 2000
filing date -
Sep 30, 2000
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Expired
status (Latency Note)
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Abstract
A method and system for providing a class-based statistical language model representation from rule-based knowledge is disclosed. The class-based language model is generated from a statistical representation of a class-based rule net. A class-based rule net is generated using the domain-related rules with words replaced with their corresponding class-tags that are manually defined. The class-based statistical representation from the class-based rule net is combined with a class-based statistical representation from a statistical language model to generate a language model. The language model is enhanced by smoothing/adapting with general-purpose and/or domain-related corpus for use as the final language model. A two-pass search algorithm is applied for speech decoding.
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