<?xml version="1.0" standalone="yes"?>
<Paper uid="C00-2123">
  <Title>Word Re-ordering and DP-based Search in Statistical Machine Translation</Title>
  <Section position="6" start_page="854" end_page="854" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> in this pal)er, we have presented a new, efficient DP-based search procedure for statistical machine translation. The approach assumes that, the word re-ordering is restricted to a few positions in the source sentence. The approach has been successfiflly tested on the 8000-word Verbmobil task. l'hture extensions of the system might include: 1) An extended translation model, where we use. more context to pre(lict a source word. 2) An trot)roved language model, which takes into at:count syntactic structure, e.g. to ensure that a l)roper English verbgrout) in generated.</Paragraph>
    <Paragraph position="1"> 3) A tight coupling with the speech recognizer outlint. null</Paragraph>
  </Section>
class="xml-element"></Paper>