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<Paper uid="E95-1031">
  <Title>A Robust Parser Based on Syntactic Information</Title>
  <Section position="9" start_page="226" end_page="227" type="concl">
    <SectionTitle>
4 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we have presented the robust parser with the extended least-errors recognition algorithm as the recovery mechanism. This robust parser can easily be scaled up and applied to various domains because this parser depends only on syntactic factors. To enhance the performance of the robust parser for extragrainmatical sentences,  we proposed several heuristics. The heuristics assign the error values to each error-hypothesis edge, and edges which has less error values axe processed first. So, not all the generated edges are processed by the robust parser, but the most plausible parse trees can be generated first. The accuracy of the recovery in our robust parser is about 68% ,,~ 77~.</Paragraph>
    <Paragraph position="1"> Hence, this parser is suitable for systems in real application areas.</Paragraph>
    <Paragraph position="2"> Our short term goal is to propose an automatic method that can learn parameter values of heuristics by analyzing the corpus. We expect that automatically leaxned values of parameters can upgrade the performance of the parser.</Paragraph>
  </Section>
class="xml-element"></Paper>