텍스트 유형과 어휘의 사용 빈도
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김일환 | - |
dc.date.accessioned | 2021-09-06T08:50:56Z | - |
dc.date.available | 2021-09-06T08:50:56Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1598-1886 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/105530 | - |
dc.description.abstract | This 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.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 서강대학교 언어정보연구소 | - |
dc.title | 텍스트 유형과 어휘의 사용 빈도 | - |
dc.title.alternative | Text Type and Frequency of Language Use | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 김일환 | - |
dc.identifier.doi | 10.29211/soli.2013.19..006 | - |
dc.identifier.bibliographicCitation | 언어와 정보 사회, v.19, pp.161 - 201 | - |
dc.relation.isPartOf | 언어와 정보 사회 | - |
dc.citation.title | 언어와 정보 사회 | - |
dc.citation.volume | 19 | - |
dc.citation.startPage | 161 | - |
dc.citation.endPage | 201 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001773479 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | text type | - |
dc.subject.keywordAuthor | frequency | - |
dc.subject.keywordAuthor | t-score | - |
dc.subject.keywordAuthor | SJ-RIKS corpus | - |
dc.subject.keywordAuthor | lexical category | - |
dc.subject.keywordAuthor | grammatical category | - |
dc.subject.keywordAuthor | language use | - |
dc.subject.keywordAuthor | quantitative approach | - |
dc.subject.keywordAuthor | 텍스트 유형 | - |
dc.subject.keywordAuthor | 빈도 | - |
dc.subject.keywordAuthor | t점수 | - |
dc.subject.keywordAuthor | 코퍼스 | - |
dc.subject.keywordAuthor | 어휘 범주 | - |
dc.subject.keywordAuthor | 문법 범주 | - |
dc.subject.keywordAuthor | 언어 사용 | - |
dc.subject.keywordAuthor | 계량적 접근> | - |
dc.subject.keywordAuthor | 코퍼스 | - |
dc.subject.keywordAuthor | 어휘 범주 | - |
dc.subject.keywordAuthor | 문법 범주 | - |
dc.subject.keywordAuthor | 언어 사용 | - |
dc.subject.keywordAuthor | 계량적 접근 | - |
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