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텍스트 유형과 어휘의 사용 빈도

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dc.contributor.author김일환-
dc.date.accessioned2021-09-06T08:50:56Z-
dc.date.available2021-09-06T08:50:56Z-
dc.date.created2021-06-17-
dc.date.issued2013-
dc.identifier.issn1598-1886-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/105530-
dc.description.abstractThis paper aims to explore some linguistic features to distinguish four major text types, newspaper, magazine, informative text and imaginary text based on SJ-RIKS corpus. In fact, most of native speakers are able to distinguish these texts relying on their experience and knowledge about text information. However without this information we often have some difficulty classifying which category these texts belong to. Our discussion starts from the supposition that most texts can be classified based on their linguistic features, especially morphological and syntactic features. For this purpose we selected 8 lexical categories and 7 grammatical categories. After that we investigated how these linguistic features are represented in text types. In doing so, we are able to find that there are meaningful and coherent relations between text type and language use. These generalized results are helpful to distinguish four major text types quantitatively and effectively.-
dc.languageKorean-
dc.language.isoko-
dc.publisher서강대학교 언어정보연구소-
dc.title텍스트 유형과 어휘의 사용 빈도-
dc.title.alternativeText Type and Frequency of Language Use-
dc.typeArticle-
dc.contributor.affiliatedAuthor김일환-
dc.identifier.doi10.29211/soli.2013.19..006-
dc.identifier.bibliographicCitation언어와 정보 사회, v.19, pp.161 - 201-
dc.relation.isPartOf언어와 정보 사회-
dc.citation.title언어와 정보 사회-
dc.citation.volume19-
dc.citation.startPage161-
dc.citation.endPage201-
dc.type.rimsART-
dc.identifier.kciidART001773479-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthortext type-
dc.subject.keywordAuthorfrequency-
dc.subject.keywordAuthort-score-
dc.subject.keywordAuthorSJ-RIKS corpus-
dc.subject.keywordAuthorlexical category-
dc.subject.keywordAuthorgrammatical category-
dc.subject.keywordAuthorlanguage use-
dc.subject.keywordAuthorquantitative approach-
dc.subject.keywordAuthor텍스트 유형-
dc.subject.keywordAuthor빈도-
dc.subject.keywordAuthort점수-
dc.subject.keywordAuthor코퍼스-
dc.subject.keywordAuthor어휘 범주-
dc.subject.keywordAuthor문법 범주-
dc.subject.keywordAuthor언어 사용-
dc.subject.keywordAuthor계량적 접근&gt-
dc.subject.keywordAuthor코퍼스-
dc.subject.keywordAuthor어휘 범주-
dc.subject.keywordAuthor문법 범주-
dc.subject.keywordAuthor언어 사용-
dc.subject.keywordAuthor계량적 접근-
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