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<?xml version="1.0" standalone="yes"?>
<Paper uid="W05-0824">
  <Title>RALI: SMT shared task system description</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Thanks to the profusion of freely available tools, it recently became fairly easy to built a statistical machine translation (SMT) engine given a bitext. The expectations we can have on the quality of such a system may however greatly vary from one pair of languages to another. We report on our experiments in building phrase-based translation engines for the four pairs of languages we had to consider for the SMT sharedtask. null</Paragraph>
  </Section>
class="xml-element"></Paper>
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