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<Paper uid="C82-1068">
  <Title>TEST-SCORE SEMANTICS FOR NATURAL LANGUAGES</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
TEST-SCORE SEMANTICS
FOR NATURAL LANGUAGES
</SectionTitle>
    <Paragraph position="0"> U.S.A.</Paragraph>
    <Paragraph position="1"> Test-score semantics is based on the premise that almost everything that relates to natural languages is a matter of degree. Viewed from this perspective, any semantic entity in a natural language, e.g., a predicate, predicate-modifier, proposition, quantifier, command, question, etc. may be represented as a system of elastic constraints on a collection of objects or derived objects in a universe of discourse. In this sense, test-score semantics may be viewed as a generalization of truth-conditional, possible-world and model-theoretic semantics, but its expressive power is substantially greater.</Paragraph>
  </Section>
class="xml-element"></Paper>