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<Paper uid="N04-1023">
  <Title>Discriminative Reranking for Machine Translation</Title>
  <Section position="7" start_page="0" end_page="0" type="concl">
    <SectionTitle>
6 Conclusions and Future Work
</SectionTitle>
    <Paragraph position="0"> In this paper, we have successfully applied the discriminative reranking to machine translation. We applied a new perceptron-like splitting algorithm and ordinal regression algorithm with uneven margin to reranking in MT. We provide a theoretical justification for the performance of the splitting algorithms. Experimental results provided in this paper show that the proposed algorithms provide state-of-the-art performance in the NIST 2003 Chinese-English large data track evaluation.</Paragraph>
  </Section>
class="xml-element"></Paper>