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

Anton Batliner·Anke Feldhaus·Stefan Geissler·Andreas Kiessling·Tibor Kiss·Ralf Kompe·Elmar Noeth
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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 significant reduction of the work-load for the parser.

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Anton Batliner, Anke Feldhaus, Stefan Geissler, Andreas Kiessling, Tibor Kiss, Ralf Kompe, Elmar Noeth. 1996-07-02. Integrating Syntactic and Prosodic Information for the Efficient Detection of Empty Categories. https://arxiv.org/abs/cmp-lg/9607004

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