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<Paper uid="C00-1010">
  <Title>An Empirical Evaluation of LFG-DOP</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper presents an empirical assessment of the LFG-DOP model introduced by Bed &amp; Kaplan (1998). The parser we describe uses fragments l'rom LFG-aunotated sentences to parse new sentences and Monte Carlo techniques to compute the most probable parse. While our main goal is to test Bed &amp; Kaplan's model, we will also test a version of LFG-DOP which treats generalized fragments as previously unseen events. Experiments with the Verbmobil and Itomecentre corpora show that our version of LFG-DOP outperforms Bed &amp; Kaplan's model, and that LFG's functional information improves the parse accuracy of Iree structures.</Paragraph>
  </Section>
class="xml-element"></Paper>