Disfluency detection in a dialogue system

نویسنده

  • Dana Dannélls
چکیده

Disfluency detection is the task of recognizing structural metadata in spoken utterances. It has been the topic of several studies in computational linguistics and psycholinguistics. This paper motivates the need for automatic disfluency detection in a dialogue system and delineates some of the features that characterize a disfluent utterance.

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تاریخ انتشار 2008