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

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dc.creatorBatliner, Anton
dc.creatorFeldhaus, Anke
dc.creatorGeissler, Stefan
dc.creatorKiessling, Andreas
dc.creatorKiss, Tibor
dc.creatorKompe, Ralf
dc.creatorNoeth, Elmar
dc.date1996-07-02
dc.date.accessioned2026-07-07T09:10:27Z
dc.date.available2026-07-07T09:10:27Z
dc.descriptionWe 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.
dc.descriptionTo appear in the Proceedings of Coling 1996, Copenhagen. 6 pages
dc.identifierhttps://arxiv.org/abs/cmp-lg/9607004
dc.identifierhttp://arxiv.org/abs/cmp-lg/9607004
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151354
dc.subjectComputation and Language
dc.titleIntegrating Syntactic and Prosodic Information for the Efficient Detection of Empty Categories
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