Earticle

초록

영어

Readability is commonly defined as a statistical scale for measuring the ease of reading and understanding a text. In this paper, we propose that paragraph length, sentence length, and word length are applicable to readability metrics for Korean texts. A correlation between these readability metrics and text levels is statistically analyzed using correlation analysis and simple and multiple linear regression analyses based on data as found in Korean learning materials. Paragraph length and sentence length show a steady upward slope with increasingly higher learning levels, while word length has a downward sloping relationship with the elementary level only. This correlation can also be applied to materials evaluation focused on the arrangement of learning levels and chapters with respect to readability. This applicability is demonstrated by two statistical methods. First, cluster analysis is the assignment of a set of texts by level or by chapter into subsets sharing similar readability scales to evaluate materials arrangements in accordance with readability scales. Second, regression model with a breakpoint (Baayen 2008) divides a linear relation of readability scales into two models having a different slope so that we can explore a trend change of readability scales in materials.

목차

Abstract
 1. 서론
 2. 선행 연구와 문제
 3. 연구 방법
  3.1. 연구 대상 자료와 처리
  3.2. 관찰 대상 가독성 지표
  3.3. 통계 분석
 4. 가독성 검증
  4.1. 학습 단계별 분포
  4.2. 통계적 상관성
 5. 가독성 응용
  5.1. 인접 유사성 평가
  5.2. 추세 구간 평가
 6. 결론
 참고문헌

키워드

Text Level Readability Paragraph Length Sentence Length Word Length Korean Learning Materials Materials Evaluation Statistical Method Correlation Analysis Linear Regression Analysis Regression with Breakpoint. Cluster Analysis

저자

• 홍정하 [ Jungha Hong | Research Institute for Language & Information, Korea ]
• 최재웅 [ Jae-Woong Choe | Department of Linguistics, Korea University ]
• 유석훈 [ Seok-Hoon You | Department of Linguistics, Korea University ]

참고문헌

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