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<Paper uid="H92-1028">
  <Title>PARAMETER ESTIMATION FOR CONSTRAINED CONTEXT-FREE LANGUAGE MODELS</Title>
  <Section position="9" start_page="7962" end_page="7962" type="concl">
    <SectionTitle>
7. CONCLUSION
</SectionTitle>
    <Paragraph position="0"> This paper introduces a new class of language models based on Markov random field ideas. The proposed context-free language model with bigram constraints offers a rich linguistic structure. In order to facilitate exploring this structure, we have presented a random sampling algorithm and a parameter estimation algorithm.</Paragraph>
    <Paragraph position="1"> The work presented here is a beginning. Further work is being done in improving the efficiency of the algorithms and in investigating the correlation of bigram relative frequencies and estimated a parameters in the model.</Paragraph>
  </Section>
class="xml-element"></Paper>