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<Paper uid="P99-1069">
  <Title>Estimators for Stochastic &amp;quot;Unification-Based&amp;quot; Grammars*</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Log-linear models provide a statistically sound framework for Stochastic &amp;quot;Unification-Based&amp;quot; Grammars (SUBGs) and stochastic versions of other kinds of grammars. We describe two computationally-tractable ways of estimating the parameters of such grammars from a training corpus of syntactic analyses, and apply these to estimate a stochastic version of Lexical-Functional Grammar.</Paragraph>
  </Section>
class="xml-element"></Paper>