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<Paper uid="W06-3106">
  <Title>Phrase-Based SMT with Shallow Tree-Phrases</Title>
  <Section position="9" start_page="44" end_page="45" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> We presented a pilot study aimed at appreciating the potential of Tree-Phrases as base units for example-based machine translation.</Paragraph>
    <Paragraph position="1">  We developed a translation engine which makes use of tree-phrases on top of pairs of source/target sequences of words. The experiments we conducted suggest that TPs have the potential to improve translation quality, although the improvements we measured are modest, yet statistically significant. Weconsideredonlyonesimpleformoftreeinthis study: depth-one subtrees. We plan to test our engine on a repository of treelets of arbitrary depth. In theory, there is not much to change in our engine to account for such units and it would offer an alternative to the system proposed recently by (Liu et al., 2005), which performs translations by recycling a collection of tree-string-correspondence (TSC) examples. null</Paragraph>
  </Section>
class="xml-element"></Paper>