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<Paper uid="W06-3115">
  <Title>NTT System Description for the WMT2006 Shared Task</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> We contrasted two translation methods for the Workshop on Statistical Machine Translation (WMT2006) shared-task. One is a phrase-based translation in which a phrasal unit is employed for translation (Koehn et al., 2003). The other is a hierarchical phrase-based translation in which translation is realized as a set of paired production rules (Chiang, 2005). Section 2 discusses those two models and details extraction algorithms, decoding algorithms and feature functions.</Paragraph>
    <Paragraph position="1"> We also explored three types of corpus pre-processing in Section 3. As expected, different tokenization would lead to different word alignments which, in turn, resulted in the divergence of the extracted phrase/rule size. In our method, phrase/rule translation pairs extracted from three distinctly word-aligned corpora are aggregated into one large phrase/rule translation table. The experiments and the final translation results are presented in Section 4.</Paragraph>
  </Section>
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