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<Paper uid="P04-1005">
  <Title>A TAG-based noisy channel model of speech repairs</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper describes a noisy channel model of speech repairs, which can identify and correct repairs in speech transcripts. A syntactic parser is used as the source model, and a novel type of TAG-based transducer is the channel model.</Paragraph>
    <Paragraph position="1"> The use of TAG is motivated by the intuition that the reparandum is a \rough copy&amp;quot; of the repair. The model is trained and tested on the Switchboard dis uency-annotated corpus.</Paragraph>
  </Section>
class="xml-element"></Paper>