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<Paper uid="C96-2192">
  <Title>Tagging Spoken Language Using Written Language Statistics</Title>
  <Section position="7" start_page="1080" end_page="1080" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> in this I)aper we, have ret)orted on an experiinent using a probabilistic part-of-speech tagger trained on written language to analyze (transcril)ed) spoken language. The results indicate that, with little or no adaptations, an overall accuracy rate of 85o/o c:ml 1)e a,chio, vcd, with ~1,i1 itC(;llFO, cy r;~te of 90% \['()r known words. ()n the negative side, we, found that the treatment of pauses as delimiters (a,s ot)t)osed to siml)ly ignoring them) did not result in a 1)ctlx!r performance, of the tagger.</Paragraph>
  </Section>
class="xml-element"></Paper>