Filtering errors and repairing linguistic anomalies for spoken dialogue systems

Authors:
David Roussel;Ariane Halber
Affiliations:
Thomson-CSF, Orsay Cedex, France;Thomson-CSF, Orsay Cedex, France
Venue:
ISDS '97 Interactive Spoken Dialog Systems on Bringing Speech and NLP Together in Real Applications
Year:
1997

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Abstract

Our work addresses the integration of speech recognition and language processing for whole spoken dialogue systems. To filter ill-recognized words, we design an on-line computing of word confidence scores based on the recognizer output hypothesis. To infer as much information as possible from the retained sequence of words, we propose a bottom-up syntactico-semantic robust parsing relying on a lexi-calized tree grammar and on integrated repairing strategies.