Speech parsing describes the syntactic and semantic analysis of spontaneous spoken language.
The general approach is based on incremental flat analysis, learning of syntactic and semantic speech parsing, parallel integration of current hypotheses, and the consideration of various forms of speech related errors. The goal for this approach is to explore the parallel interactions between various knowledge sources for learning incremental fault-tolerant speech parsing. Hybrid connectionist techniques are examined because of their promising properties of inherent fault tolerance, learning, gradedness and parallel constraint integration. An outline of the Verbmobil project with focus on the work at the University of Hamburg. In P. Mc Kevitt, editor, Proceedings of the AAAI-94 Workshop on Integration of Natural Language and Speech Processing .