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<Paper uid="P06-1090">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics A Clustered Global Phrase Reordering Model for Statistical Machine Translation</Title>
  <Section position="9" start_page="718" end_page="718" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we presented a novel global phrase reordering model, that is estimated from the N-best phrase alignment of training bilingual sentences. Through experiments, we were able to show that our reordering model offers improved translation accuracy over the baseline method.</Paragraph>
  </Section>
class="xml-element"></Paper>