On the MSE robustness of batching estimators
Proceedings of the 33nd conference on Winter simulation
Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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As new onomatopoeic words are often created at short notice, existing dictionaries tend to have an insufficient number of their entries. Furthermore, onomatopoeic words seldom appear in collections of newspaper articles, that have been used as corpora in natural language processing. In this work, we present a method of automatically acquiring lexical knowledge for Japanese onomatopoeic words from the WWW. As a result, we could automatically construct a onomatopoeic dictionary that contained 5,130 entries. By manually evaluating 487 newly acquired words that were not in the existing dictionary, we found that we could acquire 266 new onomatopoeic words, and if words in the existing dictionary were regarded as being correct, precision of our automatic acquisition was 83.6%.