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<Paper uid="W06-0133">
  <Title>Maximum Entropy Word Segmentation of Chinese Text</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We extended the work of Low, Ng, and Guo (2005) to create a Chinese word segmentation system based upon a maximum entropy statistical model. This system was entered into the Third International ChineseLanguageProcessingBakeoffand evaluated on all four corpora in their respective open tracks. Our system achieved the highest F-score for the UPUC corpus, and the second, third, and seventh highest for CKIP, CITYU, and MSRA respectively. Later testing with the gold-standard data revealed that while the additions we made to Low et al.'s system helped our results for the 2005 data with which we experimented during development, a number of them actually hurt our scores for this year's corpora.</Paragraph>
  </Section>
class="xml-element"></Paper>