Please use this identifier to cite or link to this item: doi:10.22028/D291-25312
Title: Prosody, empty categories and parsing - a success story
Author(s): Batliner, Anton
Feldhaus, Anke
Geißler, Stefan
Kiss, Tibor
Kompe, Ralf
Nöth, Elmar
Language: German
Year of Publication: 1996
SWD key words: Künstliche Intelligenz
Free key words: artificial intelligence
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: 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 signicant reduction of the work-load for the parser.
Link to this record: urn:nbn:de:bsz:291-scidok-53221
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 129
Date of registration: 13-Jun-2013
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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