Paper: Integrating Syntactic And Prosodic Information For The Efficient Detection Of Empty Categories

ACL ID C96-1014
Title Integrating Syntactic And Prosodic Information For The Efficient Detection Of Empty Categories
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1996
Authors

We describe a number of experiments that demonstrate the usefulness of prosodic information for a processing module which parses spoken utterances with a feature-based grammar employing empty categories. We show that by re- quiring certain prosodic properties from those positions in the input, where the presence of an empty category has to be hypothesized, a derivation can be accom- plished more efficiently. The approach has been implemented in the machine translation project VEItBMOBII, and re- sults in a significant reduction of the work-load for the parser t.