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<Paper uid="P06-2123">
  <Title>Segmentation</Title>
  <Section position="6" start_page="966" end_page="967" type="concl">
    <SectionTitle>
5 Conclusions
</SectionTitle>
    <Paragraph position="0"> In this work, we proposed a subword-based IOB tagging method for Chinese word segmentation. The approach outperformed the character-based method using both the MaxEnt and CRF approaches. We also successfully employed the confidence measure to make a confidence-dependent word segmentation.</Paragraph>
    <Paragraph position="1"> By setting the confidence threshold, R-oov and R-iv can be changed accordingly. This approach is effective for performing desired segmentation based on users' requirements to R-oov and R-iv.</Paragraph>
  </Section>
class="xml-element"></Paper>