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<Paper uid="E95-1020">
  <Title>Distributional Part-of-Speech Tagging Hinrich Schfitze</Title>
  <Section position="7" start_page="146" end_page="146" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we have attempted to construct an algorithm for fully automatic distributional tagging, using unannotated corpora as the sole source of information. The main innovation is that the algorithm is able to deal with part-of-speech ambiguity, a pervasive phenomenon in natural language that was unaccounted for in previous work on learning categories from corpora. The method was systematically evaluated on the Brown corpus. Even if no automatic procedure can rival the accuracy of human tagging, we hope that the algorithm will facilitate the initial tagging of texts in new languages and sublanguages.</Paragraph>
  </Section>
class="xml-element"></Paper>