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METHOD AND SYSTEM FOR USING A STATISTICAL LANGUAGE MODEL AND AN ACTION CLASSIFIER IN PARALLEL WITH GRAMMAR FOR BETTER HANDLING OF OUT-OF-GRAMMAR UTTERANCES
METHOD AND SYSTEM FOR USING A STATISTICAL LANGUAGE MODEL AND AN ACTION CLASSIFIER IN PARALLEL WITH GRAMMAR FOR BETTER HANDLING OF OUT-OF-GRAMMAR UTTERANCES
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机译：统计语言模型和动作分类器与语法并行使用以更好地处理语法外说话的方法和系统
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摘要
A method (and system) of handling out-of-grammar utterances includes building a statistical language model for a dialog state using, generating sentences and semantic interpretations for the sentences using finite state grammar, building a statistical action classifier, receiving user input, carrying out recognition with the finite state grammar, carrying out recognition with the statistical language model, using the statistical action classifier to find semantic interpretations, comparing an output from the finite state grammar and an output from the statistical language model, deciding which output of the output from the finite state grammar and the output from the statistical language model to keep as a final recognition output, selecting the final recognition output, and outputting the final recognition result, wherein the statistical action classifier, the finite state grammar and the statistical language model are used in conjunction to carry out speech recognition and interpretation.
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