TR-IT-0127 :1995.9

Michael Paul, Yasuharu Den

Stochastical Parsing of Ill-Formedness in Spoken Natural Language

Abstract:This report describes a statistical approach to parse spontaneous speech, taking into account the phenomena of natural conversations. The input sentences are taken from the ATR Dialogue Database. Using an adapted version of the stochastical language model BLI, we yields in the detection and recovery of ill-formedness occuring in spontaneous speech.