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Abstract

Disclosed is a system and method of training a spoken language understanding module. Such a module may be utilized in a spoken dialog system. The method of training a spoken language understanding module comprises training acoustic and language models using a small set of transcribed data S.sub.T, recognizing utterances in a set S.sub.u that are candidates for transcription using the acoustic and language models, computing confidence scores of the utterances, selecting k utterances that have the smallest confidence scores from S.sub.u and transcribing them into a new set S.sub.i, redefining S.sub.t as the union of S.sub.t and S.sub.i, redefining S.sub.u as S.sub.u minus S.sub.i, and returning to the step of training acoustic and language models if word accuracy has not converged.

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First Claim