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<Paper uid="P00-1009">
  <Title>An Improved Parser for Data-Oriented Lexical-Functional Analysis</Title>
  <Section position="7" start_page="0" end_page="0" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> We presented a parser which analyzes new input by probabilistically combining fragments from LFG-annotated corpora into new analyses. We have seen that the parse accuracy increased with increasing fragment size, and that LFG's functional structures contribute to significantly higher parse accuracy on tree structures. We tested two search techniques for the most probable analysis, Viterbi n best and Monte Carlo. While these two techniques achieved about the same accuracy, Viterbi n best was about 100 times faster than Monte Carlo.</Paragraph>
  </Section>
class="xml-element"></Paper>