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<Paper uid="P03-1059">
  <Title>Learning the Countability of English Nouns from Corpus Data</Title>
  <Section position="9" start_page="3" end_page="3" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have proposed a knowledge-rich lexical acquisition technique for multi-classifying a given noun according to four countability classes. The technique operates over a range of feature clusters drawing on pre-processed corpus data, which are then fed into independent classifiers for each of the countability classes. The classifiers were able to selectively classify the countability preference of English nouns with a precision of 94.6%.</Paragraph>
  </Section>
class="xml-element"></Paper>