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

Computer Science – Computation and Language

Scientific paper

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To appear in the Proceedings of Coling 1996, Copenhagen. 6 pages

Scientific paper

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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