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<Paper uid="P97-1071">
  <Title>Contrastive accent in a data-to-speech system</Title>
  <Section position="7" start_page="520" end_page="520" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> I have sketched a practical approach to the assignment of contrastive accent in data-to-speech systems, which does not need a universal definition of alternative or parallel items. Because the determination of contrast is based on the data expressed by generated sentences, instead of their syntactic structures or semantic reprentations, there is no need for separately encoding world knowledge. The proposed approach is domain-specific in that it relies heavily on the data structures that form the input from generation. On the other hand it is based on a general principle, which should be applicable in any system where typed data structures form the input for linguistic generation. In the near future, the proposed approach will be implemented in GoalGetter.</Paragraph>
    <Paragraph position="1"> Acknowledgements: This research was carried out within the Priority Programme Language and Speech Technology (TST), sponsored by NWO (the Netherlands Organization for Scientific Research).</Paragraph>
  </Section>
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