Integrated recognition of words and phrase boundaries

TL;DRAbstract

In this paper we present a n i n tegrated approach for recognizing both the word sequence and the syntactic-prosodic structure of a spontaneous utterance.We take into account the fact that a spontaneous utterance is not merely an unstructured sequence of words by incorporating phrase boundary information into the language model and by providing HMMs to model boundaries.This allows for a distinction between word transitions across phrase boundaries and transitions within a phrase.During recognition, the syntactic-prosodic structure of the utterance is determined implicitly.Without any increase in computational e ort, this leads to a 4 reduction of word error rate, and, at the same time, syntactic-prosodic boundary labels are provided for subsequent processing.The boundaries are recognized with a precision and recall rate of about 75 each.They can be used to reduce drastically the computational e ort for parsing spontaneous utterances.We also present a system architecture to incorporate

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