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<?xml version="1.0" standalone="yes"?>
<Paper uid="N03-2036">
  <Title>References</Title>
  <Section position="4" start_page="3" end_page="3" type="metho">
    <SectionTitle>
3 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we described a phrase-based unigram model for statistical machine translation. The model is much simpler than other phrase-based statistical models. We experimented with different restrictions on the phrases selected from the training data. Longer phrases which occur less frequently do not help much.</Paragraph>
  </Section>
  <Section position="5" start_page="3" end_page="3" type="metho">
    <SectionTitle>
Acknowledgment
</SectionTitle>
    <Paragraph position="0"> This work was partially supported by DARPA and monitored by SPAWAR under contract No. N66001-99-28916. null</Paragraph>
  </Section>
class="xml-element"></Paper>
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