<?xml version="1.0" standalone="yes"?>
<Paper uid="C04-1149">
  <Title>Integrating Cross-Lingually Relevant News Articles and Monolingual Web Documents in Bilingual Lexicon Acquisition Takehito Utsuro +</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In the framework of bilingual lexicon acquisition from cross-lingually relevant news articles on the Web, it is relatively harder to reliably estimate bilingual term correspondences for low frequency terms.</Paragraph>
    <Paragraph position="1"> Considering such a situation, this paper proposes to complementarily use much larger monolingual Web documents collected by search engines, as a resource for reliably re-estimating bilingual term correspondences. We experimentally show that, using a sufficient number of monolingual Web documents, it is quite possible to have reliable estimate of bilingual term correspondences for those low frequency terms.</Paragraph>
  </Section>
class="xml-element"></Paper>