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<Paper uid="W99-0630">
  <Title>Automatically Merging Lexicons that have Incompatible Part-of-Speech Categories</Title>
  <Section position="7" start_page="256" end_page="256" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> We present a new method to automatically merge lexicons that employ different incompatible POS categories, which merges lexemes from an additional lexicon into an original lexicon with 89% in average precision.</Paragraph>
    <Paragraph position="1"> We showed how precision in the final merged lexicon can be improved by introducing a model called anti-lexicon, which neatly summarizes all the essential information we need about the co-occurrence of tags and lemmas.</Paragraph>
    <Paragraph position="2"> Our model is intuitive, fast, easy to implement, and does not require heavy computational resources nor training corpus.</Paragraph>
  </Section>
class="xml-element"></Paper>