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<Paper uid="C96-2192">
  <Title>Tagging Spoken Language Using Written Language Statistics</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper reports on two experiments with a probabilistic part-of-speech tagger, trained on a tagged corpus of written Swedish, being used to tag a corpus of (transcribed) spoken Swedish. The results indicate that with very little adaptations an accuracy rate of 85% can be achieved, with an accuracy rate for known words of 90%. In addition, two different treatments of pauses were explored but with no significant gain in accuracy under either condition.</Paragraph>
  </Section>
class="xml-element"></Paper>