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<Paper uid="A92-1018">
  <Title>A Practical Part-of-Speech Tagger</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
3333 Coyote Hill Road, Palo Alto, CA 94304, USA
Abstract
</SectionTitle>
    <Paragraph position="0"> We present an implementation of a part-of-speech tagger based on a hidden Markov model. The methodology enables robust and accurate tagging with few resource requirements. Only a lexicon and some unlabeled training text are required.</Paragraph>
    <Paragraph position="1"> Accuracy exceeds 96%. We describe implementation strategies and optimizations which result in high-speed operation. Three applications for tagging are described: phrase recognition; word sense disambiguation; and grammatical function assignment.</Paragraph>
  </Section>
class="xml-element"></Paper>