Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

문법관계와 한정성에 기반한 조사 분류- 통계적 분석을 이용한 접근 -

Full metadata record
DC Field Value Language
dc.contributor.author홍정하-
dc.date.accessioned2021-09-08T07:09:51Z-
dc.date.available2021-09-08T07:09:51Z-
dc.date.created2021-06-17-
dc.date.issued2010-
dc.identifier.issn1226-9123-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/117607-
dc.description.abstractThis paper aims to propose that each Korean marker can represent a proper grammatical relation, but not always. It is shown that quantitative patterns of Korean markers based on grammatical relations and definiteness, as found in the 21st Century Sejong Treebank, are estimated by a multivariate statistical method, Correspondence Analysis. An interesting observation is that (i) each grammatical relation tends to be concentrated by markers representing a proper meaning like hearer’s attitudes, exclusive selectivity, and so on; (ii) it is different to definiteness effects on grammatical relations reflected by markers. For examples, markers concentrating on subjects are sensitive to definiteness, whereas markers on objects have not sensitive to definiteness.-
dc.languageKorean-
dc.language.isoko-
dc.publisher한국어학회-
dc.title문법관계와 한정성에 기반한 조사 분류- 통계적 분석을 이용한 접근 --
dc.title.alternativeA Statistical Approach to Classification of Korean Markers Based on Grammatical Relations and Definiteness.-
dc.typeArticle-
dc.contributor.affiliatedAuthor홍정하-
dc.identifier.bibliographicCitation한국어학, v.47, pp.295 - 318-
dc.relation.isPartOf한국어학-
dc.citation.title한국어학-
dc.citation.volume47-
dc.citation.startPage295-
dc.citation.endPage318-
dc.type.rimsART-
dc.identifier.kciidART001445380-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthor조사(markers)-
dc.subject.keywordAuthor문법관계(grammatical relations)-
dc.subject.keywordAuthor한정성(definiteness)-
dc.subject.keywordAuthor대응분석(correspondence analysis)-
dc.subject.keywordAuthor구문분석 말뭉치(Treebank)-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE