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<Paper uid="P96-1055">
  <Title>The Selection of the Most Probable Dependency Structure in Japanese Using Mutual Information</Title>
  <Section position="5" start_page="373" end_page="373" type="evalu">
    <SectionTitle>
4 Results and Evaluation
</SectionTitle>
    <Paragraph position="0"> We have applied our method to 35 sentences taken from a leading newspaper and included with RDG software. The average number of dependency structures per sentence is 8.68. The method we used selected the correct structures for 25 sentences. The correct structures for 8 sentences were found as the second most probable structure by the method.</Paragraph>
    <Paragraph position="1"> In another experiment, we parsed 70 sentences using a grammar similar to the one used in Kurohashi and Nagao (1993). Our method selected the most likely relation among the multiple generated in 95~, of the cases.</Paragraph>
    <Paragraph position="2"> Although the size of the test data is small, we say that our method provided a way to identify the most probable structure more efficiently than RDG. Since the sentences used are extracted from a newspaper, it's also general in its applicability. Therefore it can be used in preparing teaching materials such as the structures used by a CAI system such as CATERS, saving the instructor of hand-coding them. In future work we shall extract the co-occurrences directly from the corpora, and use other grouping techniques to replace the CD.</Paragraph>
  </Section>
class="xml-element"></Paper>