Earticle

초록

영어

In general, people read texts and decide by themselves to measure levels of understanda-bility and readability, which takes a lot of time and efforts. We believe visualizing readability gives intuitive impact on how difficult the texts will be before examining the texts further. Text visualization aims to provide structural characteristics of text contents in an efficient way. By using massive text data, such as books or documents, this study suggests readability meas-urement factors and formulas for the suggested methods that visualize texts by extracting a key factor ‘length’ for readability. In addition to the proposed methods, this study verifies effectiveness of visualization through the test of the case studies. The paper also includes case study findings that readers can have readability information not from independent texts, but from the comparison of previous texts, and therefore it becomes easier to accommodate diffi-cult level of new books.

목차

Abstract
 1. Introduction
 2. Visualizing Text Readability
  2.1 Measuring Readability
  2.2 Designing the Readability Visualization
  2.3 Results of Readability Visualization
 3. Case study
  3.1 Experimental Method
  3.2 Result of the Experiment
 4. Conclusions
 Acknowledgements
 References

키워드

저자

• Hyoyoung Kim [ GSAIM, Chung-Ang University ]
• Jin Wan Park [ GSAIM, Chung-Ang University ]
• Dongsu Seo [ Sungshin Women's University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605