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<Paper uid="W05-0833">
  <Title>Hybrid Example-Based SMT: the Best of Both Worlds?</Title>
  <Section position="11" start_page="189" end_page="189" type="ackno">
    <SectionTitle>
Acknowledgements
</SectionTitle>
    <Paragraph position="0"> We would like to thank Nano Gough for supplying us with our EBMT training data. Thanks also to three anonymous reviewers for their insightful comments. The work presented in this paper is partly supported by an IRCSET7 PhD Fellowship Award.</Paragraph>
  </Section>
class="xml-element"></Paper>