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<Paper uid="C94-2178">
  <Title>amp;quot;Using Cognates to Align Sentences in Bilingual Corpora,&amp;quot; Fourth International Conference on Theoretical and Methodological Issues in Machine</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Various methods have been proposed for aligning texts in two or more languages such as the Canadian Parliamentary Debates (Hansards). Some of these methods generate a bilingual lexicon as a by-product. We present an alternative alignment strategy which we call K-vec, that starts by estimating the lexicon. For example, it discovers that the English word fisheries is similar to the French p~ches by noting that the distribution of fisheries in the English text is similar to the distribution of p~ches in the French. K-vec does not depend on sentence boundaries.</Paragraph>
  </Section>
class="xml-element"></Paper>