Paper: Multilevel Semantic Analysis In An Automatic Speech Understanding And Dialog System

ACL ID E87-1015
Title Multilevel Semantic Analysis In An Automatic Speech Understanding And Dialog System
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1987
Authors
  • Ute Ehrlich (University of Erlangen-Nuremberg, Erlangen Germany)

At our institute a speech understanding and dialog system is developed. As an example we model an information system for timetables and other information about intercity trains. In understanding spoken utterances, additional problems arise due to pronunciation variabilities and vagueness of the word recognition process. Experiments so far have also shown that the syntactical analysis produces a lot more hypotheses instead of reducing the number of word hypotheses. The reason for that is the possibility o! combining nearly every group of word hypotheses which are adjacent with respect to the speech signal to a syntactically correct constituent. Also, the domain independent semantic analysis cannot be used for filtering, because a syntactic sentence hypothesis normally can be interp.reted in...