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<Paper uid="W04-3255">
  <Title>Efficient Decoding for Statistical Machine Translation with a Fully Expanded WFST Model</Title>
  <Section position="8" start_page="0" end_page="0" type="ackno">
    <SectionTitle>
Acknowledgements
</SectionTitle>
    <Paragraph position="0"> We would like to thank F. J. Och for providing GIZA++ and mkcls toolkits, and P. R. Clarkson for the CMU-Cambridge statistical language modeling toolkit v2. We also thank T. Hori for providing the n-gram conversion program for WFSTs and F. Bond and S. Fujita for providing the bilingual corpus.</Paragraph>
  </Section>
class="xml-element"></Paper>