Word association norms, mutual information, and lexicography
Computational Linguistics
Two languages are more informative than one
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Structural matching of parallel texts
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Selective sampling for example-based word sense disambiguation
Computational Linguistics
| Hi-index | 0.00 |
In the field of statistical analysis of natural langauge data, the measure of word/class association has proved to be quite useful for discovering a meaningful sense cluster in an arbitrary level of the thesaurus. In this paper, we apply its idea to the sense classification of Japanese verbal polysemy in case frame acquisition from Japanese-English parallel corpora. Measures of bilingual class/class association and bilingual class/frame association are introduced and used for discovering sense clusters in the sense distribution of English predicates and Japanese case element nouns. In a small experiment, 93.3% of the discovered clusters are correct in that none of them contains examples of more than one hand-classified senses.