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<?xml version="1.0" standalone="yes"?>
<Paper uid="C04-1014">
  <Title>Modeling of Long Distance Context Dependency</Title>
  <Section position="5" start_page="21" end_page="21" type="concl">
    <SectionTitle>
4. CONCLUSION
</SectionTitle>
    <Paragraph position="0"> This paper proposes a novel MI-Ngram modeling approach to capture the context dependency over both a short distance and a long distance. This is done by incorporating long distance-dependent word pairs into normal ngram modeling by using the concept of mutual information. It is found that MI-Ngram modeling has much better performance than word ngram modeling.</Paragraph>
  </Section>
class="xml-element"></Paper>
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