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<Paper uid="W97-0207">
  <Title>Measuring Semantic Entropy Dept.</Title>
  <Section position="7" start_page="45" end_page="45" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> The semantic entropy of a word can be interpreted as its semantic ambiguity and is inversely proportional to the word's informatio n content, semantic weight, and consistency in translation. This paper presented an information-theoretic method for measuring the semantic entropy of any word in text, using translational distributions estimated from parallel text corpora. This measurement technique has produced entropy rankings that correspond well with intuitions about the relative semantic import of various words and word classes. The method can be implemented for any language for which a reasonably large bitext is available.</Paragraph>
  </Section>
class="xml-element"></Paper>