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어형적 연관성을 고려한 어휘 빈도 산출

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dc.contributor.author최재웅-
dc.contributor.author윤혜준-
dc.contributor.author전지은-
dc.date.accessioned2021-09-07T19:55:22Z-
dc.date.available2021-09-07T19:55:22Z-
dc.date.created2021-06-17-
dc.date.issued2011-
dc.identifier.issn1226-9123-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/114451-
dc.description.abstractJae-Woong Choe, Hyejoon Yoon, Jieun Jeon. 2011. 08. Extraction of Lexical Frequency based on Morphological Relatedness. Korean Linguistics 52, 243-272. This paper starts from the claim as in Han (2006) that morphological relatedness, or word family, should be taken into consideration when calculating word frequency in Korean. In this paper, a specific method, implemented in Perl, is proposed to gather Korean word family members and their frequency for a given root word. The target corpus used for extraction is the Sejong 21 sense tagged corpus. The resulting list shows some interesting points in terms of the effects of word family for frequency count, and also in terms of the comparison with the simple frequency count of the head words. Spearman’s Correlation Coefficient is applied to quantify the relationship between the head word frequency list and the word family frequency list, and it is observed that there is an extremely strong relationship (0.906) between the two.-
dc.languageKorean-
dc.language.isoko-
dc.publisher한국어학회-
dc.title어형적 연관성을 고려한 어휘 빈도 산출-
dc.typeArticle-
dc.contributor.affiliatedAuthor최재웅-
dc.contributor.affiliatedAuthor윤혜준-
dc.identifier.bibliographicCitation한국어학, v.52, pp.243 - 272-
dc.relation.isPartOf한국어학-
dc.citation.title한국어학-
dc.citation.volume52-
dc.citation.startPage243-
dc.citation.endPage272-
dc.type.rimsART-
dc.identifier.kciidART001576335-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthor어휘 빈도(word frequency)-
dc.subject.keywordAuthor어형적 연관성(morphological relatedness)-
dc.subject.keywordAuthor단어족(word family)-
dc.subject.keywordAuthor상관관계 계수(Spearman correlation coefficient)-
dc.subject.keywordAuthor세종 형태의미분석 말뭉치(Sejong sense tagged corpus)-
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