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<Paper uid="C96-2107">
  <Title>Statistical Method of Recognizing Local Cohesion in Spoken Dialogues</Title>
  <Section position="6" start_page="638" end_page="638" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> We described our statistical method of recognizing local cohesion between utterances, based on pseudo-mutual information. We focused on speech act expressions in calculating the plausibility of local cohesion between two utterances. The results of the first experiments showed a 93% accuracy for closed data and a 78% accuracy for open data. We conclude that the presented method will be effective for recognizing local cohesion between two utterances.</Paragraph>
    <Paragraph position="1"> To improve our method, we will use the coherence relations in the verbs and set of nouns and will use a larger corpus with local cohesion. We plan to apply the method to speech recognition in a speech-to-speech machine translation system.</Paragraph>
  </Section>
class="xml-element"></Paper>