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<Paper uid="C96-1006">
  <Title>Extracting Word Correspondences from Bilingual Corpora Based on Word Co-occurrence Information</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
ABSTRACT
</SectionTitle>
    <Paragraph position="0"> A new method has been developed for extracting word correspondences from a bilingual corpus. First, the co-occurrence infi~rmation for each word in both languages is extracted li'om the corpus. Then, the correlations between the co-occurrence features of the words are calculated pairwisely with tile assistance of a basic word bilingual dictionary. Finally, the pairs of words with the highest correlations are output selectively. This method is applicable to rather small, unaligned corpora; it can extract correspondences between compound words as well as simple words. An experiment using bilingual patent-specification corpora achieved 28% recall and 76% precision; this demonstrates that the method effectively reduces the cost of bilingual dictionary augmentation.</Paragraph>
  </Section>
class="xml-element"></Paper>