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<Paper uid="W00-1201">
  <Title>Two Statistical Parsing Models Applied to the Chinese Treebank</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper presents the first-ever results of applying statistical parsing models to the newly-available Chinese Treebank. We have employed two models, one extracted and adapted from BBN's SIFT System (Miller et al., 1998) and a TAG-based parsing model, adapted from (Chiang, 2000). On sentences with &lt;40 words, the former model performs at 69% precision, 75% recall, and the latter at 77% precision and 78% recall.</Paragraph>
  </Section>
class="xml-element"></Paper>