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<Paper uid="C88-2157">
  <Title>Colloeational Analysis in Japanese Text Input</Title>
  <Section position="5" start_page="772" end_page="772" type="concl">
    <SectionTitle>
6. Conclusion
</SectionTitle>
    <Paragraph position="0"> A method for disambiguation based on colloeal;ional anal ysis of non-segmented Kana-to-Kanji translation has be(m developed. To realize this, an automatic WCP dictionary coi c.pilation method has also been developed. In an extractio~ experiment using example sentences fl'om dictionm'ie,q, it wm~ confirmed that WCP can be collected automatically wiflt a 98.7% accuracy using syntactic anMysis and some heu.cistie rules to eliminate errors. Using this method, about 305,000 sets of WCP were collected. The co-occurrence patterrt m~ trix was built based on these WCP mid used in b'artslat.ion experiments.</Paragraph>
    <Paragraph position="1"> Experimental results show that tim mean umnber of can.</Paragraph>
    <Paragraph position="2"> didate sentences is reduced to about 1/10 of those fl:om existing morphological methods and that a translatitm acem'~my ~i * 1 95% can be achieved. The collocatioual analysis met\[ ou c~.o also be applied to Japanese text input by speech reeog~dU~ ....</Paragraph>
  </Section>
class="xml-element"></Paper>