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<Paper uid="I05-3022">
  <Title>Chinese Word Segmentation in FTRD Beijing</Title>
  <Section position="5" start_page="152" end_page="152" type="concl">
    <SectionTitle>
4 Conclusions
</SectionTitle>
    <Paragraph position="0"> The evaluation results show that the closed tests is not very good compared with other participants, the one main reason is that the word-based language model we used is not competitive compared with other algorithms in the closed tracks. One area of our future work is to apply other machine learning algorithm, like Maximum Entropy (ME), Support Vector Machine (SVM), Conditional Random Field (CRF), etc.</Paragraph>
  </Section>
class="xml-element"></Paper>