This research characterizes the spontaneous spoken disfluencies typical of human-computer interaction, and presents a predictive model accounting for their occurrence. Data were c...
We have analyzed 607 sentences of spontaneous human-computer speech data containing repairs, drawn from a total corpus of 10,718 sentences. We present here criteria and techniques...
We describe a semi-automatic semantic disambiguator integrated in a knowledge-based machine translation system. It is used to bridge the analysis and generation stages in machine ...