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<Paper uid="W06-0121">
  <Title>Chinese Word Segmentation with Maximum Entropy and N-gram Language Model</Title>
  <Section position="7" start_page="140" end_page="140" type="concl">
    <SectionTitle>
4 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, a detailed description on several Chinese word segmentation systems are presented, where ME model, n-gram language model as well as three post processing strategies are involved. In the closed track of MSRA, the integration of bi-gram language model greatly improves the recall ratio of the words in vocabulary, although it will impairs the performance of system in recognizing the words out of vocabulary. In addition, three strategies are introduced to deal with combination ambiguity, numeral word, long organization name issues. And the evaluation results reveal the validity and effectivity of our approaches.</Paragraph>
  </Section>
class="xml-element"></Paper>