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<Paper uid="C96-1014">
  <Title>Integrating Syntactic and Prosodic Information for the Efficient Detection of Empty Categories</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> 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 VEItBMOBII, and results in a significant reduction of the work-load for the parser t.</Paragraph>
  </Section>
class="xml-element"></Paper>