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<Paper uid="A00-2015">
  <Title>Analyzing Dependencies of Japanese Subordinate Clauses based on Statistics of Scope Embedding Preference</Title>
  <Section position="5" start_page="235" end_page="235" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> This paper proposed a statistical method for learning dependency preference of Japanese ratio.</Paragraph>
    <Paragraph position="1"> 14Coverage: the rate of the pairs of subordinate clauses whose dependencies are decided by the decision list, against the total pairs of subordinate clauses, Precision: the rate of the pairs of subordinate clauses whose dependencies are correctly decided by the decision list, against those covered pairs of subordinate clauses.</Paragraph>
    <Paragraph position="2"> 15Fujio and Matsumoto (1998)'s lexicalized dependency analyzer is similar to that of Collins (1996), where various features were evaluated through performance test and an optimal feature set was manually selected.</Paragraph>
    <Paragraph position="3"> 16The upper bounds of the improvement in chunk level and sentence level precisions, which are estimated by providing Fujio and Matsumoto (1998)'s statistical dependency analyzer with correct dependencies of subordinate clauses extracted from the bracketing of the EDR corpus, are 5.1% and 15%, respectively.</Paragraph>
    <Paragraph position="4"> subordinate clauses, in which scope embedding preference of subordinate clauses is exploited. We evaluated the estimated dependencies of subordinate clauses through several experiments and showed that our model outperformed other related models.</Paragraph>
  </Section>
class="xml-element"></Paper>