Paper: Automatic Extraction Of Aspectual Information From A Monolingual Corpus

ACL ID P97-1045
Title Automatic Extraction Of Aspectual Information From A Monolingual Corpus
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1997
Authors

This paper describes an approach to ex- tract the aspectual information of Japanese verb phrases from a monolingual 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 ad- verbs. A unique category could be identi- fied for 96% of the target verbs. To evalu- ate the result of the experiment, we exam- ined the meaning of -leiru which is one of the most fundamental aspectual markers in Japanese, and obtained the correct recog- nition score of 71% for the 200 sentences.