이름의 성별에 따라 나타나는 음성상징성: 동물의 숲 주민 캐릭터 이름을 중심으로
Sound symbolism in the gender of personal names: With focus on the game characters in Animal Crossing
1
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
Sound symbolism reflected in the segmental composition of personal names makes it possible for us to predict the gender associated with names. This study investigated the sound symbolism in the names of the Korean game characters in Animal Crossing. We compare the phonological features in the two genders of the game characters’ names by chi-square tests and t-tests. We then report what phonological features have effects on predicting the gender of game character names in Korean by fitting a logistic regression model. The results show that if a greater number of syllables, portion of sonorants or vowels exist in a name, the gender of the name is more likely to be female. If stops constitute a large portion of the name, the gender of a name is more likely to be male. Furthermore, the results of logistic regression analyses show that if a name ends in a sonorant or back vowel, the gender of the name can be predicted as male. If there is a greater portion of sonorants and vowels and the name starts with a fricative, the gender of the name can be predicted as female.
Abstract
Sound symbolism reflected in the segmental composition of personal names makes it possible for us to predict the gender associated with names. This study investigated the sound symbolism in the names of the Korean game characters in Animal Crossing. We compare the phonological features in the two genders of the game characters’ names by chi-square tests and t-tests. We then report what phonological features have effects on predicting the gender of game character names in Korean by fitting a logistic regression model. The results show that if a greater number of syllables, portion of sonorants or vowels exist in a name, the gender of the name is more likely to be female. If stops constitute a large portion of the name, the gender of a name is more likely to be male. Furthermore, the results of logistic regression analyses show that if a name ends in a sonorant or back vowel, the gender of the name can be predicted as male. If there is a greater portion of sonorants and vowels and the name starts with a fricative, the gender of the name can be predicted as female.
참고문헌 (31)
- 강옥미, "한국어 음운론" (2003), 태학사
- 권선아, "원격고등교육에서 성인학습자의 중도탈락에 관한 로지스틱 회귀분석", 평생학습사회, 16(4), pp.149~169 (2020), 미래원격교육연구원[DOI]
- 김규완, "문단 간 유사도와 로지스틱 회귀 분류를 통한 기사 내 부적합 문단 검출 시스템", 한국정보과학회 2017 한국소프트웨어종합학술대회 논문집, pp.1873~1875 (2017)
- 김선회, "한국어 음성상징어의 자음 분포 특성", 음성음운형태론연구, 25(3), pp.387~414 (2019), 한국음운론학회[DOI]
- 김재원, "한국어와 영어의 유음 음성상징", 영어영문학연구, 46(3), pp.205~220 (2004), 한국중앙영어영문학회
- 김태영, "기계학습을 통한 잉여현금흐름 예측：서포트벡터머신과 로지스틱 회귀 모형을 중심으로", 전산회계연구, 19(2), pp.25~42 (2021), 한국전산회계학회[DOI]
- 노경섭, "제대로 알고 쓰는 논문 통계분석 : SPSS & AMOS" (2020), 한빛아카데미
- 문건웅, "의학논문 작성을 위한 R 통계와 그래프" (2015), 한나래아카데미
- 손원, "불균형 텍스트 데이터에서 카이제곱 통계량을 이용한 변수 선택의 편향성", 한국데이터정보과학회지, 31(5), pp.807~821 (2020), 한국데이터정보과학회[DOI]
- 이영석, "한국어 상징음의 모음조화 : 비단선 음운론적 분석", 언어학, (16), pp.121~138 (1994), 사단법인 한국언어학회
- 이창환, "속성값 기반의 정규화된 로지스틱 회귀분석 모델", 정보과학회논문지, 43(11), pp.1270~1274 (2016), 한국정보과학회
- 임채은, "범죄통계데이터를 활용한 카이제곱 검증 기반 범죄특징분석", 2020 년도 한국통신학회 하계종합학술발표회논문집, pp.911~912 (2020)
- 홍선경, "카이제곱 검정 통계량과 유관계수의 안전한 다자간 계산", 한국정보과학회 2014 년 동계학술발표회 논문집, pp.225~227 (2014)
- 홍종선, "다양한 정확도 측도들에 기반한 진단오즈비의 특성", 한국데이터정보과학회지, 32(6), pp.1281~1294 (2021), 한국데이터정보과학회[DOI]
- BARRY, HERBERT, "Increased choice of female phonetic attributes in first names", Sex Roles, 32, pp.809~819 (1995)
- BERLIN, BRENT, "The firs congress of ethnozoological nomenclature", The Journal of the Royal Anthropological Institute, 12(1), pp.23~44 (2006)
- Hyoji Ha, "Proximity Based Circular Visualization for Similarity Analysis of UNGA Voting Patterns", 2015 Big Data Visual Analytics (BDVA), pp.1~2 (2015), IEEE
- HAMANO, SHOKO, "The Sound-Symbolic System of Japanese, PhD Dissertation", pp.1986
- KAWAHARA, SHIGETO, "What voiced obstruents symbolically represent in Japanese: evidence from the Pokémon universe", Journal of Japanese Linguistics, 37, pp.3~24 (2021)
- KAWAHARA, SHIGETO, "English speakers can infer Pokémon types based on sound symbolism", Frontiers in Psychology, 12, pp.648~948 (2021)
- KAWAHARA, SHIGETO, "Sound symbolic patterns in Pokémon names", Phonetica, 75, pp.219~244 (2018)
- MOORTHY, SRIDHAR, "Is Nike female? Exploring the role of sound symbolism in predicting brand name gender", Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp.1128~1132 (2018)
- PERFORS, AMY, "What’s in a name? The effect of sound symbolism on perception of facial attractiveness", Proceedings of the Annual Meeting of the Cognitive Science Society, 26 (2004)
- SAPIR, EDWARD, "A study in phonetic symbolism", Journal of Experimental Psychology, 12, pp.225~239 (1929)
- SAUSSURE, FERDINAND, "Course in General Linguistics" (1966), McGraw-Hill Book Co
- SLATER, ANNE SAXON, "Gender and the phonology of North American first names", Sex Roles, 13, pp.429~440 (1985)
- Universal and cross-linguistic gender-based sound symbolism in Korean given names, "SULLIVAN, LISA", University of Toronto, ~, pp.Generals Paper 2 (2020)
- "R: A language and environment for statistical computing. R Foundation for Statistical Computing (Version 4.1.2)" (2021)[URL]
- "Beautiful soup documentation. April" (2007)[URL]
- "2013", ~
- 윤관희, "Cross-modal Mapping in L1 Korean and L2 English Sound Symbolism", 영어학, 20, pp.180~208 (2020), 한국영어학회[DOI]