Integrating Syntactic and Prosodic Information for the Efficient Detection of Empty Categories

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

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 requiring certain prosodic properties from those positions in the input where the presence of an empty category has to be hypothesized, a derivation can be accomplished more efficiently. The approach has been implemented in the machine translation project VERBMOBIL and results in a significant reduction of the work-load for the parser.
To appear in the Proceedings of Coling 1996, Copenhagen. 6 pages

Keywords

Computation and Language

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/151354

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cmp-lg/9607004
 http://arxiv.org/abs/cmp-lg/9607004

Collections

arXiv