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코퍼스를 활용한 서술어/비서술어 명사의 행동양식 분석

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dc.contributor.author김동성-
dc.date.accessioned2021-09-06T07:19:04Z-
dc.date.available2021-09-06T07:19:04Z-
dc.date.created2021-06-17-
dc.date.issued2013-
dc.identifier.issn1225-7141-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/104966-
dc.description.abstractThis paper analyzes the behaviors of predicative/unpredicative nouns in Korean, based on the corpora. Previous analyses have been focused on the distinction between predicative/unpredicative nouns, mostly focusing on the intuitive data rather than on the corpus. We look into with the behaviors of predicative/unpredicative nouns in the corpora. Our methods reveal that the behaviors on predicative/unpredicative nouns are based on the combination of multi-tiered levels of classification features. We claim that there needs to be the notion of classification of typical vs. non-typical types among predicative/unpredicative nouns, requiring the gradience in grammaticality. Unlike the former linear classification, we use the statistics found in the corpora, leading the multi-dimensional analysis of the multiple combination of features.-
dc.languageEnglish-
dc.language.isoen-
dc.publisher대한언어학회-
dc.title코퍼스를 활용한 서술어/비서술어 명사의 행동양식 분석-
dc.title.alternativeAn Analysis of the Behaviors of Predicative/Unpredicative Nouns Using the Corpora-
dc.typeArticle-
dc.contributor.affiliatedAuthor김동성-
dc.identifier.doi10.24303/lakdoi.2013.21.4.225-
dc.identifier.bibliographicCitation언어학, v.21, no.4, pp.225 - 244-
dc.relation.isPartOf언어학-
dc.citation.title언어학-
dc.citation.volume21-
dc.citation.number4-
dc.citation.startPage225-
dc.citation.endPage244-
dc.type.rimsART-
dc.identifier.kciidART001832716-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorCorpus Linguistics-
dc.subject.keywordAuthorPredicative/Unpredicative Nouns-
dc.subject.keywordAuthorStatistical Analysis-
dc.subject.keywordAuthorGrammatical Categorization-
dc.subject.keywordAuthorComputational Linguistics-
dc.subject.keywordAuthorCorpus Statistics-
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