국제관광학술지 ‘Tourism Management’와 국내관광학술지 ‘관광레저연구’ 영어 초록의 코퍼스 기반 연구
A Corpus-based Study on the English Abstracts of ‘Tourism Management’ and ‘Journal of Tourism & Leisure Research’
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This study builds two corpora of the English abstracts of international and Korean tourism research papers and provides the lists of frequent words and key words of each corpus. And this study aims to examine the concordance and collocates of key words and to describe similarities and differences of the lexical characteristics and research themes of each corpus. The English abstract text files of Tourism Management(TMC) and Journal of Tourism & Leisure Research(TLC) from 2011 to 2020 were compiled as the target corpora and BNC baby was used as the reference corpus. The WordSmith Tools 8 program was used to extract the frequent words and the key words of the corpus. The results of this study are as follows: First, TMC uses more diverse words than TLC and TLC uses the words more repeatedly than TMC although they are the same kind of tourism research papers. Second, the frequent words and key words of the corpus are rㅍelated to the research theme and the extracted frequent words and key words of TMC and TLC were different. This means the research themes of each journal are different. Third, the list of frequent words, key words, concordance and collocates show the lexical characteristics and the related themes of each corpus. This study is expected to be helpful for researchers of tourism to write the English abstracts and understand the research papers and research themes.
Abstract
This study builds two corpora of the English abstracts of international and Korean tourism research papers and provides the lists of frequent words and key words of each corpus. And this study aims to examine the concordance and collocates of key words and to describe similarities and differences of the lexical characteristics and research themes of each corpus. The English abstract text files of Tourism Management(TMC) and Journal of Tourism & Leisure Research(TLC) from 2011 to 2020 were compiled as the target corpora and BNC baby was used as the reference corpus. The WordSmith Tools 8 program was used to extract the frequent words and the key words of the corpus. The results of this study are as follows: First, TMC uses more diverse words than TLC and TLC uses the words more repeatedly than TMC although they are the same kind of tourism research papers. Second, the frequent words and key words of the corpus are rㅍelated to the research theme and the extracted frequent words and key words of TMC and TLC were different. This means the research themes of each journal are different. Third, the list of frequent words, key words, concordance and collocates show the lexical characteristics and the related themes of each corpus. This study is expected to be helpful for researchers of tourism to write the English abstracts and understand the research papers and research themes.
참고문헌 (20)
- 권미분, "호텔영어 코퍼스 생성과 어휘적 특성", 언어과학, 23(4), pp.25~44 (2016), 한국언어과학회[DOI]
- 권미분, "코퍼스를 활용한 관광학술지 영문초록의 어휘특성과 연구동향 분석", 언어과학, 24(3), pp.1~21 (2017), 한국언어과학회[DOI]
- 권혁승, "코퍼스 언어학 입문" (2012), 한국 문화사
- 김미영, "코퍼스기반 광고영어의 어휘적 특성 연구", 새한영어영문학, 62(1), pp.131~150 (2020), 새한영어영문학회[DOI]
- 남정미, "영어 학습자 코퍼스 기반 어휘다발의 구조적 패턴과 기능적 유형 분석", 새한영어영문학, 60(2), pp.115~132 (2018), 새한영어영문학회[DOI]
- 박현숙, "코퍼스를 활용한 호텔, 관광영어의 어휘적 특성 분석 - 호텔관광연구 영문초록을 중심으로 -", 호텔관광연구, 18(2), pp.306~321 (2016), 한국호텔관광학회
- 안근재, "과학교육 학술지 영어 초록 어휘의 코퍼스 기반 분석", 교육과학연구, 15(2), pp.129~155 (2013)
- 이성민, "화학공학영어 코퍼스기반 키워드 및 어휘다발 분석: 교재와 논문 코퍼스를 중심으로", 영어영문학연구, 59(1), pp.271~290 (2017), 한국중앙영어영문학회[DOI]
- 정미애, "비즈니스 영어 코퍼스 생성과 분석", 언어연구, 23(3), pp.429~451 (2007), 한국현대언어학회[DOI]
- 조준형, "빅데이터로서의 웹 코퍼스를 활용한 프랑스어 작문 교육", 프랑스어문교육, (68), pp.97~121 (2020), 한국프랑스어문교육학회[DOI]
- 하명정, "공학학술영어에 대한 코퍼스 분석", 예술인문사회 융합 멀티미디어 논문지, 8(8), pp.383~391 (2018), 사단법인 인문사회과학기술융합학회[DOI]
- 하명호, "영어교육 코퍼스 기반 키워드와 어휘다발 분석: 교재 및 학술논문 코퍼스를 중심으로", 새한영어영문학, 61(2), pp.185~207 (2019), 새한영어영문학회[DOI]
- Baker, P., "Querying Keywords: Questions of Difference, Frequency and Sense in Keywords Analysis", Journal of English Linguistics, 32(4), pp.346~359 (2004)
- Chen, Y, "Investigating Criterial Discourse Features across Second Language Development: Lexical Bundles in Rated Learner Essays, CEFR B1, B2 and C", Applied Linguistics, pp.1~33 (2014)
- Gandin, S, "Translating the Language of Tourism: A Corpus Based Study on the Translational Tourism English Corpus", Procedia. Social and Behavioral Sciences, 95, pp.325~335 (2013)
- Milton, J, "Learner English on Commputer", pp.196~198 (1998), Longman
- 남대현, "Lexical Bundle Structure Distribution in Argumentative Writing of Korean and American University Students", 영어영문학연구, 58(4), pp.347~370 (2016), 한국중앙영어영문학회[DOI]
- Ozlen, M. K, "The Recent Trend in a Human Resource Management Journal: A Keyword Analysis", European Researcher, 79(7-2), pp.1367~1375 (2014)
- Salazar, D., "Lexical Bundles in Scientific English: A Corpus-based Study of Native and Non-native Writing", 박사, pp.2011
- Scott, M, "PC Analysis of Key Words and Key Key Words", System, 25(2), pp.233~245 (1997)