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<Paper uid="C02-1020">
  <Title>Extracting Word Sequence Correspondences with Support Vector Machines</Title>
  <Section position="8" start_page="0" end_page="0" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we proposed a learning and extracting method of bilingual word sequence correspondences from non-aligned parallel corpora with SVMs. Our method used features for the translation model which use the translation dictionary, the number of words, the part-of-speech, constituent words and neighbor words. Experiment results in which Japanese and English parallel corpora are used archived 81.1 % precision rate and 69.0 % recall rate of the extracted translation pairs. This demonstrates that our method could reduce the cost for making translation dictionaries.</Paragraph>
  </Section>
class="xml-element"></Paper>