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<Paper uid="C92-2104">
  <Title>Learning Mechanism in Machine Translation System &amp;quot;PIVOT&amp;quot;</Title>
  <Section position="8" start_page="0" end_page="0" type="concl">
    <SectionTitle>
5. Conclusion
</SectionTitle>
    <Paragraph position="0"> This paper discussed the learning mechanism for dependency and case corrected by the user. The learned data is accumulated in the association database. Four types of matchins methods that are used in the applying process mere examined. The simulation sboms that non-restricted best latching is the lost effective along the four types.</Paragraph>
    <Paragraph position="1"> The \]earning mechanism discussed above is also effective for selection of a translation equivalent.</Paragraph>
    <Paragraph position="2"> This mechanism will be incorporated in PIVOT, taking over the current learning mechanism for selection of translation equivalents.</Paragraph>
  </Section>
class="xml-element"></Paper>