Treatment of incomplete dialogues in a speech-to-speech translation system

Abstract

For the speech-to-speech translation system verbmobil the dialogue component has the task of providing contextual information for other verbmobil subcomponents and to follow the flow of the dialogue. Since verbmobil operates on demand, only parts of the dialogue are processed using syntactic and semantic knowledge. Therefore, robustness with respect to incomplete structures is a basic requirement. We show the performance of the statistic prediction module and the planning module under such conditions.