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This article describes the work in the development of the speech understanding and dialog system EVAR. The relevant knowledge bases containing the raw linguistic knowledge and the preprocessors converting this to the specialized form needed by the processing algorithms are treated. Processing so far covers the level of the speech signal up to the level of pragmatic analysis. Some topics of ongoing and future work are mentioned briefly.

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This paper reflects some thoughts on" pra@matic~ in'the context of a Speech Understanding'.System which is currently developed at the University Erlangen-Nuernberg. After a brief outline of the system,s ~structure with an emphasis on the characteristics of the parser and the knowledge representation scheme we present some of the underlying theoretical considerations. The main part of the paper describes the design criteria for the SEMANTICS, PRAGMATICS, and DIALOG modules, and the structure of their interactions within a general discourse understanding framework, in particular the. role of a user/task model.