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<Paper uid="P92-1033">
  <Title>A PARAMETERIZED APPROACH TO INTEGRATING ASPECT WITH LEXICAL-SEMANTICS FOR MACHINE TRANSLATION</Title>
  <Section position="7" start_page="263" end_page="263" type="concl">
    <SectionTitle>
SUMMARY
</SectionTitle>
    <Paragraph position="0"> This paper has examined a two-level knowledge representation model for machine translation that integrates aspectual information based on theories by Bach (1986), Comrie (1976), Dowty (1979), mourelatos (1981), Passonneau (1988), Pustejovsky (1988, 1989, 1991), and Vendler (1967), and more recently by Bennett et al.</Paragraph>
    <Paragraph position="1"> (1990) and Moens and Steedman (1988), with lexical-semantic information based on Jackendoff (1983, 1990). We have examined the question of cross-linguistic applicability showing that the integration of aspect with lexical-semantics is especially critical in machine translation when there are a large number of temporal connectives and verbal selection/realization possibilities that may be generated from a lexical semantic representation. Furthermore, we have illustrated that the selection/realization processes may be parameterized, by means of selection charts and coercion functions, so that the processes may operate uniformly across more than one language. Finally, we have discussed the application of the theoretical foundations to the automatic acquisition of aspectual representations from corpora in order to augment the lexical-semantic representations that have already been created for a large number of verbs.</Paragraph>
  </Section>
class="xml-element"></Paper>