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<Paper uid="C94-2153">
  <Title>AN EFFICIENT SYNTACTIC TAGGING TOOL FOR CORPORA @</Title>
  <Section position="7" start_page="953" end_page="953" type="concl">
    <SectionTitle>
4. CONCLUDING REMARK
</SectionTitle>
    <Paragraph position="0"> In this paper, we presented that dependency grammar is a suitable formalism for syntactic tagging and presented a new technique for developing a syntactic tagging tool lbr large corpora, in which a simple shift/reduce mechanism was employed and context dependent rules were accumulated during tagging. The supervised tagging algorithm is described. The experiment shows that automatic tagging ratio rises up continually with the number of sentence increases, and good consistency is kept.</Paragraph>
    <Paragraph position="1"> This idea may be helpful for POS tagging and case tagging of corpora as well.</Paragraph>
    <Paragraph position="2"> We hope the automatic tagging ratio will raise above 80% in the future by enlarging the size of rule base, so that it can be practically used lbr syntactic tagging oF running text.</Paragraph>
  </Section>
class="xml-element"></Paper>