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<?xml version="1.0" standalone="yes"?>
<Paper uid="P94-1010">
  <Title>REFERENCES</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We present a stochastic finite-state model for segmenting Chinese text into dictionary entries and productively derived words, and providing pronunciations for these words; the method incorporates a class-based model in its treatment of personal names. We also evaluate the system's performance, taking into account the fact that people often do not agree on a single segmentation. null</Paragraph>
  </Section>
class="xml-element"></Paper>
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