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<Paper uid="E95-1026">
  <Title>A Robust and Efficient Three-Layered Dialogue Component for a Speech-to-Speech Translation System*</Title>
  <Section position="9" start_page="191" end_page="191" type="concl">
    <SectionTitle>
6 Conclusion and future extensions
</SectionTitle>
    <Paragraph position="0"> Dialogue processing in VERBMOBIL poses problems that differ from other systems like (Mast, 1993) and (Bilange, 1991). Not being in a controlling position within a speech-processing system but tracking a mediated dialogue calls for an architecture where different approaches to dialogue processing cooperate. One important goal of our module is to provide top-down information for the other modules of VERBMOBIL, e.g. to reduce the search space of the word recognizer. This requirement is solved partially by using a statistics-based speech act prediction component. Also, we represent contextual information that is important for other VERBMOBIL components, as e.g. transfer and generation. This information is built up by the planner during dialogue processing.</Paragraph>
    <Paragraph position="1"> Future extensions of the dialogue component, which has been sucessfidly tested with 200 dialogues of our corpus concern the treatment of clarification dialogues. Robust processing will be another issue to be tackled: the possibility to process gaps in the dialogue will also be integrated.</Paragraph>
  </Section>
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