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<Paper uid="C94-1093">
  <Title>Restructuring Tagged Corpora with Morpheme Adjustment Rules</Title>
  <Section position="4" start_page="571" end_page="571" type="evalu">
    <SectionTitle>
ADD
</SectionTitle>
    <Paragraph position="0"> This experiment rewrites from a medimn-graiued morphological information system to a coarse-grained morphological information system. Table :1.2.1 shows the result of this rewriting. The segmentation error rate and part-of-speech error rate were calculated using the same definition in \[1\]. Table 2 shows the result.</Paragraph>
    <Paragraph position="1"> The error rates seem to be rather large, but it should be noted that only simple knowledge sources are used both ill our method (the morpheme adjuster) and by the morphological analyzer. Also, it is significant that our targets are spoken-style Japanese sentences. Ordinary morphological analyzers can analyze written-style Japanese sentences with a less than 50_/o error rate, by using richer knowledge sources\[I\]. However, previous work reported that the error rate for automatic morphological analysis of the ADD text is more than 15%\[6\].</Paragraph>
    <Paragraph position="2"> hi comparing the two methods, the part-of-speech error rates of our method are clearly better than those of the morphological analyzer. This shows that our method can make good use of tile original part-of-speech information.</Paragraph>
    <Section position="1" start_page="571" end_page="571" type="sub_section">
      <SectionTitle>
Japanese Grammar
</SectionTitle>
      <Paragraph position="0"> This experiment is more difficult because this rewriting is from the coarse-grained morphological infornlation system to the medium-grained morphological information systeln. Table 3 shows the result.</Paragraph>
      <Paragraph position="1"> The part-of-speech error rates of our method are better in this rewriting experiment, too.</Paragraph>
    </Section>
  </Section>
class="xml-element"></Paper>