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<Paper uid="A97-1007">
  <Title>Insights into the Dialogue Processing of VERBMOBIL</Title>
  <Section position="12" start_page="38" end_page="38" type="concl">
    <SectionTitle>
8 Conclusion and Future Work
</SectionTitle>
    <Paragraph position="0"> Dialogue processing in a speech-to-speech translation system like VERBMOBIL requires innovative and robust methods. In this paper we presented different aspects of the dialogue module while processing one example dialog. The combination of knowledge based and statistical methods resulted in a reliable system. Using the VERBMOBIL corpus as empirical basis for training and test purposes significantly improved the functionality and robustness of our module, and allowed for focusing our efforts on real problems. The system is fully integrated in the VERBMOBIL system and has been tested on several thousands of utterances.</Paragraph>
    <Paragraph position="1"> Nevertheless, processing in the real system creates still new challenges. One problem that has to be tackled in the future is the segmentation of turns into utterances. Currently, turns are very often split up into too many and too small utterances. In the future, we will have to focus on the problem of &amp;quot;glueing&amp;quot; fragments together. When given back to the transfer and generation modules, this will enhance translation quality.</Paragraph>
    <Paragraph position="2"> Future work includes also more training and the ability to handle sparse data. Although we use one of the largest annotated corpora available, for purposes like training we still need more data.</Paragraph>
  </Section>
class="xml-element"></Paper>