성별 명사와 관련어의 의미특성Semantic Characteristics of Gender-specific Nouns and Their Related Words
- Other Titles
- Semantic Characteristics of Gender-specific Nouns and Their Related Words
- Authors
- 정유진; 강범모
- Issue Date
- 2015
- Publisher
- 한국언어학회
- Keywords
- gender-specific words; man; woman; male; female; news articles; corpus; target words; co-occurring words; socio-cultural roles; inclusive related words; exclusive related words; semantic domain
- Citation
- 언어, v.40, no.4, pp.675 - 702
- Indexed
- KCI
- Journal Title
- 언어
- Volume
- 40
- Number
- 4
- Start Page
- 675
- End Page
- 702
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/95332
- DOI
- 10.18855/lisoko.2015.40.4.005
- ISSN
- 1229-4039
- Abstract
- Chung, Eugene & Kang, Beom-mo. 2015. Semantic Characteristics of Gender-specific Nouns and Their Related Words. Korean Journal of Linguistics, 40-4, 675-702. This paper aims to study gender concepts described in news articles by examining gender-specific words and their related words. Gender is a socio-cultural component of male and female identity that shapes how a person lives and interprets the world around them. News articles report their lives and the language used in the articles reflects society. A gender-specific word refers to a word relating only to either males or females, such as man, woman, male, female. First, we compared related words from synonymous gender-referring words. Second, we considered antonymous gender-specific words and their related words. Finally, we explored a group of males and females to show general roles portrayed in the news articles for each gender. While inclusive related words show common properties of target words, exclusive related words represent unique properties of the target word. We classified related words with semantic domains distributed by SIL International (Moe 2013). The semantic domains allow us to capture gender roles and status in our society. The newspaper corpus is composed of 2.5 million news articles issued from 2000-2013 and the size is more than 500 million words (Kim et al., 2010). We extracted 100 related words per target word and then compared their relationships by using Pajek (Ver. 4.04). This study shows that men are expected to be interested in fashion and public oriented settings. Compared to men, women tend to be more complex; they are family-oriented, but also they are socially involved. (Korea University)
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