<?xml version="1.0" standalone="yes"?>
<Paper uid="P05-3026">
  <Title>Multi-Engine Machine Translation Guided by Explicit Word Matching</Title>
  <Section position="6" start_page="103" end_page="103" type="evalu">
    <SectionTitle>
4 Results
</SectionTitle>
    <Paragraph position="0"> On the 2003 TIDES data, the three original systems had similar METEOR scores. Table 1 shows the scores of the three systems, with their names obscured to protect their privacy. Also shown are the score of MEMT's output and the score of the oracle system that chooses the best original translation on a sentence-by-sentence basis. The score of the MEMT system is significantly better than any of the original systems, and the sentence oracle.</Paragraph>
    <Paragraph position="1"> On the first 140 sentences, the oracle system that selects the best hypothesis translation generated by the MEMT generator has a METEOR score of 0.5883. This indicates that the scoring algorithm used to select the final MEMT output can be significantly further improved.</Paragraph>
  </Section>
class="xml-element"></Paper>