<?xml version="1.0" standalone="yes"?>
<Paper uid="P98-2167">
  <Title>Machine Aided Error-Correction Environment for Korean Morphological Analysis and Part-of-Speech Tagging</Title>
  <Section position="7" start_page="1017" end_page="1018" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> As the researches on the basis of corpus have become more important, constructing large annotated corpus is a more important task than ever before. In general, constructing process of POS-tagged corpus consists of morphological  analysis, automatic tagging and manual correction. But, manual error correction step requires a large amount of costs.</Paragraph>
    <Paragraph position="1"> This paper proposed an environment to reduce the cost of correcting errors. In the morphological analysis process, we have eliminated the errors of unknown words, and find errors with error correction rules and manual correction log, suggesting the candidate words. Users can describe error correction rule easily by simplifying the format of error rule. As a result of experiment, about 63.2% of tagging errors were corrected.</Paragraph>
    <Paragraph position="2"> Our environment needs further enhancements. One is the need of observation on the pattern of errors to make rules so that accuracy may be improved, and the other is the efficient use of manual logs; currently we use pattern matching. More general rules could be found by expressing the manual logs in other ways.</Paragraph>
  </Section>
class="xml-element"></Paper>