Automatic extraction of aspectual information from a monolingual corpus

Authors:
Akira Oishi;Yuji Matsumoto
Affiliations:
Nara Institute of Science and Technology, Takayama, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Takayama, Ikoma, Nara, Japan
Venue:
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Year:
1997

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Abstract

This paper describes an approach to extract the aspectual information of Japanese verb phrases from a monoligual corpus. We classify verbs into six categories by means of the aspectual features which are defined on the basis of the possibility of co-occurrence with aspectual forms and adverbs. A unique category could be identified for 96% of the target verbs. To evaluate the result of the experiment, we examined the meaning of -teiru which is one of the most fundamental aspectual markers in Japanese, and obtained the correct recognition score of 71% for the 200 sentences.