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<Paper uid="W01-0812">
  <Title>Reusing a Statistical Language Model for Generation</Title>
  <Section position="8" start_page="2" end_page="2" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> The tight integration of the statistical language model into the generation process described here allows a 'best first' search through the possible expansions licensed by a simplified and overgenerating grammar. This contrasts with the exhaustive searches through the grammars in Nitrogen (Langkilde &amp; Knight, 1998) and Fergus (Bangalore &amp; Rambow, 2000), where the generation algorithm operates independently of the statistical resources. Such integration has the potential to produce easily tunable generation systems based around a stable comprehensive grammar, as well as indicate precisely which statistical language models are most suited to generation requirements, and whether these requirements differ at all from those of analysis.</Paragraph>
  </Section>
class="xml-element"></Paper>