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<Paper uid="W97-0303">
  <Title>An Efficient Distribution of Labor in a Two Stage Robust Interpretation Process</Title>
  <Section position="9" start_page="33" end_page="33" type="concl">
    <SectionTitle>
8 Conclusions
</SectionTitle>
    <Paragraph position="0"> In this paper we addressed the issue of how to efficiently handle the problem of extragrammaticality in a large-scale spontaneous spoken language system. We argue that even though Minimum Distance Parsing offers a theoretically attractive solution to the problem of extragrammaticality, it is computationally infeasible in large scale practical applications. Our analysis demonstrates that the ROSE approach, consisting of a skipping parser with limited flexibility coupled with a completely auto= matic post-processing repair module, performs significantly faster than even a version of MDP limited only to skipping and inserting and constrained to a maximum deviation penalty of 5, while producing analyses of superior quality.</Paragraph>
  </Section>
class="xml-element"></Paper>
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