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<Paper uid="H92-1085">
  <Title>Automatic Detection and Correction of Repairs in Human-Computer Dialog*</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
ABSTRACT
</SectionTitle>
    <Paragraph position="0"> We have analyzed 607 sentences of spontaneous human-computer speech data containing repairs (drawn from a corpus of 10,718). We present here criteria and techniques for automatically detecting the presence of a repair, its location, and making the appropriate correction. The criteria involve integration of knowledge from several sources: pattern matching, syntactic and semantic analysis, and acoustics.</Paragraph>
  </Section>
class="xml-element"></Paper>