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<Paper uid="P98-2167">
  <Title>Machine Aided Error-Correction Environment for Korean Morphological Analysis and Part-of-Speech Tagging</Title>
  <Section position="6" start_page="1017" end_page="1017" type="evalu">
    <SectionTitle>
5 Experiments and Results
</SectionTitle>
    <Paragraph position="0"> We have experimented on the documents, using morphological analyzer and tagger (Shin et al., 1995). The correction log of one document affects the tagging knowledge base. Then, the next tagging process is automatically improved.</Paragraph>
    <Paragraph position="1"> In the experimental result, error elimination rates are evaluated.</Paragraph>
    <Paragraph position="2"> The result of experiment is in Figure 4. In Figure 4, automatic correction means the right correction made by error detection using rule and manual correction log. Manual correction means the correction made directly by user. We can see that the rate of automatic correction increased, while that of manual correction de- null We can correct about 7% of total errors by resolving unknown words. With the increasing number of entries, the probability of unknown word occurrence will decrease.</Paragraph>
  </Section>
class="xml-element"></Paper>