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<Paper uid="C00-1014">
  <Title>Reusing an ontology to generate numeral classifiers</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
* Visiting CSLI, Stanford University (1999-2000).
</SectionTitle>
    <Paragraph position="0"> I Numeral-classilier combinations are shown in bold, the noun phrases they quantify are underlined.</Paragraph>
    <Paragraph position="1"> 1996; Bond et al., 1998; Yokoyama and Ochiai, 1999), but very little on their generation. We could only find one paper on generating classifiers in Thai (Sornlertlamvanich et al., 1994). One immediate application fox the generation of classifiers is machine translation, and we shall take examples flom there, but it is in fact needed fox&amp;quot; the generation of any quantified noun phrase with an uncountable head noun.</Paragraph>
    <Paragraph position="2"> The second question we address is: how far can an ontology be reused for a difl%rent task to the one it was originally designed fox. There are several large ontologies now in use (WordNet (Fellb~mm, 1998); Goi-Taikei (lkehara et al., 1997); Mikrokosrues (Nirenburg, 1989)) and it is impractical to rebuild one fox&amp;quot; every application. Howevel, there is no guarantee that an ontology built fox one task will be useful for another.</Paragraph>
    <Paragraph position="3"> The paper is structured as follows. In Section 2, we discuss tile properties of numeral classifiers in more detail and suggest an ilnproved algorithm fox&amp;quot; generating them. Seclion 3 introduces the ontology we have chosen, the Goi-Taikei ontology (ikehara ct al., 1997). Then we show how to use the ontology to generate classifiers in Section 4. Finally, we discuss how well it performs in Section 5.</Paragraph>
  </Section>
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