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<Paper uid="C00-1064">
  <Title>Structural Feature Selection For English-Korean Statistical Machine Translation</Title>
  <Section position="8" start_page="443" end_page="444" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> When aligning Englist&gt;Korean sentences, the differences of word order and word unit require structural information. For tiffs reason, we tried structural tag  string mapping using maximum entropy modeling and feature selection concept. We devised a nlodel that generates a English tag string given a Korean tag string. From initial active structural features, useful features are extended by feature selection. Tile retrieved features and parameters can be embedded in statistical maclfine translation and reduce the complexity of searching. We showed that they can helpful to construct structured aligned bilingual sentences.</Paragraph>
    <Paragraph position="1">  Tag alignment (km(litiolml Lexical aliglulw, nt</Paragraph>
    <Paragraph position="3"/>
  </Section>
class="xml-element"></Paper>