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<Paper uid="C04-1149">
  <Title>Integrating Cross-Lingually Relevant News Articles and Monolingual Web Documents in Bilingual Lexicon Acquisition Takehito Utsuro +</Title>
  <Section position="6" start_page="910" end_page="910" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> In the framework of bilingual lexicon acquisition from cross-lingually relevant news articles on the Web, it has been relatively harder to reliably estimate bilingual term correspondences for low frequency terms. This paper proposed to complementarily use much larger monolingual Web documents collected by search engines, as a resource for reliably re-estimating bilingual term correspondences. We showed that, for the terms which appear infrequently in news articles, the accuracy of re-estimating bilingual term correspondences actually improved.</Paragraph>
  </Section>
class="xml-element"></Paper>