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.

This paper presents a method for automatically generating an association thesaurus from a text corpus, and demonstrates its application to information retrieval. The thesaurus generation method .consists of extracting tenns and co-occurrence data from a corpus and analyzing the correlation between terms statistically. A new method for disambiguating the structure of compound nouns, which is a key component for term extraction, is also proposed. The automatically generated thesaurus is effectively used as a tool for exploring infonnation. A thesaurus navigator having novel functions such as term clustering, thesaurus overview, and zooming-in is proposed.

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