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영국 희곡작품 코퍼스 기반 키워드 및 어휘다발 분석: Shakespeare와 Bernard Shaw를 중심으로

British Drama Corpus-based Analysis of Keywords and Lexical Bundles: Focusing on Shakespeare and Bernard Shaw

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참고문헌

키워드

주제분류언어학

초록

This paper is designed to explore the keywords and the structural features of 4-word lexical bundles in two corpora through Scott's(2015) WordSmith Tools 6.0. A target corpus includes two sub-corpora, Shakespeare Drama Corpus(SDC) and Bernard Shaw Drama Corpus(BSDC), and a reference corpus is BNC baby. SDC consists of around 820,000 words compiled from 37 plays, BSDC includes around 930,000 words compiled from 31 plays and BNC baby has around 4 million words. The result of analysis shows that 1) a target corpus has remarkably distinct lexical features from a reference corpus in terms of keywords; 2) a comparative study of lexical bundles between BSDC and BNC baby shows the similar features in spite of their disparateness; 3) STTR(Standardized Type/Token Ratio) of a target corpus shows much higher than that of a reference corpus and it implies that there is the distinctiveness of a target corpus.

Abstract

This paper is designed to explore the keywords and the structural features of 4-word lexical bundles in two corpora through Scott's(2015) WordSmith Tools 6.0. A target corpus includes two sub-corpora, Shakespeare Drama Corpus(SDC) and Bernard Shaw Drama Corpus(BSDC), and a reference corpus is BNC baby. SDC consists of around 820,000 words compiled from 37 plays, BSDC includes around 930,000 words compiled from 31 plays and BNC baby has around 4 million words. The result of analysis shows that 1) a target corpus has remarkably distinct lexical features from a reference corpus in terms of keywords; 2) a comparative study of lexical bundles between BSDC and BNC baby shows the similar features in spite of their disparateness; 3) STTR(Standardized Type/Token Ratio) of a target corpus shows much higher than that of a reference corpus and it implies that there is the distinctiveness of a target corpus.

참고문헌 (27)

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  2. 이성민, "ESP 학술논문의 저자키워드와 코퍼스키워드의 비교 연구", 언어과학, 23(3), pp.201~223 (2016), 한국언어과학회[DOI]
  3. 이성민, "화학공학영어 코퍼스기반 키워드 및 어휘다발 분석: 교재와 논문 코퍼스를 중심으로", 영어영문학연구, 59(1), pp.271~290 (2017), 한국중앙영어영문학회[DOI]
  4. 장세은, "키클러스터 분석을 통한 학술목적영어 코퍼스의 어휘다발 특성 연구", 언어학, 20(4), pp.219~239 (2012), 대한언어학회[DOI]
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  19. Kanoksilapatham, B, "Distinguishing Textual Features Characterizing Structural Variation in Research Articles across Three Engineering Sub-discipline Corpora", English for Specific Purposes, 37, pp.74~86 (2015)
  20. Nattinger, J. R., "Lexical Phrases and Language Teaching" (1992), Oxford University Press
  21. O’Keeffe, A., "From Corpus to Classroom: Language Use and Language Teaching" (2007), Cambridge University Press
  22. Sánchez, P., "Lexical Bundles in Biology: Differences between Textbooks and Research Articles", Spanish Journal of Applied Linguistics, 27(2), pp.492~513 (2014)
  23. Scott, M., "WordSmith Tools Manual" (2015), Lexical Analysis Software
  24. Scott, M., "WordSmith Tools Help" (2016), Lexical Analysis Software
  25. Scott, M., "Textual Patterns: Key Words and Corpus Analysis in Language Education" (2006), John Benjamins
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  27. Wray, A, "Formulaic Sequences in Second Language Teaching: Principle and Practice", Applied Linguistics, 21(4), pp.463~489 (2000)

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