<?xml version="1.0" standalone="yes"?>
<Paper uid="P96-1018">
  <Title>High-Performance Bilingual Text Alignment Using Statistical and Dictionary Information</Title>
  <Section position="7" start_page="136" end_page="136" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have described a text alignment method for structurally different languages. Our iterative method uses two kinds of word correspondences at the same time: word correspondences acquired by statistics and those of a bilingual dictionary. By combining these two types of word correspondences, the method covers both domain specific keywords not included in the dictionary and the infrequent words not detected by statistics. As a result, our method outperforms conventional methods for texts of different lengths and different domains.</Paragraph>
  </Section>
class="xml-element"></Paper>