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<?xml version="1.0" standalone="yes"?>
<Paper uid="P97-1049">
  <Title>Hierarchical Non-Emitting Markov Models</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We describe a simple variant of the interpolated Markov model with non-emitting state transitions and prove that it is strictly more powerful than any Markov model.</Paragraph>
    <Paragraph position="1"> Empirical results demonstrate that the non-emitting model outperforms the interpolated model on the Brown corpus and on the Wall Street Journal under a wide range of experimental conditions. The non-emitting model is also much less prone to overtraining.</Paragraph>
  </Section>
class="xml-element"></Paper>
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