• English Language & Literature Teaching
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• v.18 no.3
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• pp.1-24
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• 2012

It has long been shown that Korean EFL students have not practiced extensive reading in school curriculum. Their vocabulary knowledge is limited and a tool for measuring text readability for them has hardly been developed and used. The study aimed to check the current situations on the above issues and develop a reading framework appropriate for extensive reading within the national English curriculum, including the Readability Formula in Korean EFL contexts (KRF). The study consists of four steps. The study does a survey to check the current Korean EFL situations on the issues, suggests a new vocabulary learning size, develops a readability formula as a tool for measuring text difficulty based on the newly suggested vocabulary size, and finally validates the formula with various kinds of English books, including the primary and secondary school English textbooks. It is expected that this study will provide a model for the vocabulary size and the readability index for extensive reading in EFL contexts.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.25-34
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• 2020

Community question and answering service is one of the main sources of information and knowledge in the Web. The quality of information in question and answer documents is determined by the clarity of the question and the relevance of the answers, and the readability of a document is a key factor for evaluating the quality. This study is to measure the quality of documents used in community question and answering service. For this purpose, we compare the frequency of occurrence by vocabulary level used in community documents and measure the readability index of documents by institution of author. To measure the readability index, we used the Dale-Chall formula which is calculated by vocabulary level and sentence length. The results show that the vocabulary used in the answers is more difficult than in the questions and the sentence length is longer. The gap in readability between questions and answers is also found by writing institution. The results of this study can be used as basic data for improving online counseling services.

• Journal of the Korean Society for information Management
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• v.22 no.3 s.57
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• pp.213-232
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• 2005

The purpose of this study is to determine factors affecting text difficulty and to model objective formulas which measure readability scores. Some readability-related factors such as total number of letters, total number of syllables, total number of unique syllables, total number of sentences and total number of paragraphs were found through correlation analysis. Some regression equations with these factors as their variables were produced through regression analysis. A model estimating readability score from total number of unique syllables was a good formula, while a model with two factors, total number of unique syllables and new syllable occurrence ratio, was a better enhanced one. The readability score represents detailed level so we can recommend students read texts corresponding to their reading levels.

• Journal of the Korean Society for information Management
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• v.22 no.4 s.58
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• pp.173-195
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• 2005

The purpose of this study is to clarify whether readability formulas based on linguistic factors are suitable for secondary and older primary age texts. A comparison among fomulas for primary age texts, some for both primary and secondary age, and some for secondary age revealed that exclusive ones for narrow age range were more effective. A model estimating readability scores from the average number of sentences in paragraphs or a model with two factors, the average number of sentences and paragraphs in texts was found to be good one for secondary age. While a model based on total number of unique syllables or a model from total number of unique syllables and new syllable occurrence ratio was good for primary age.

• The KIPS Transactions:PartB
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• v.13B no.4 s.107
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• pp.471-478
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• 2006

In this paper, two color contrast evaluation algorithms, W3C and NSSC algorithms are compared and investigated to select proper criteria of the color contrast of text-background color combinations in web documents. The relationship between the color contrast defined by existing formula and the readability rating is not perfect and there is quite a bit of variance, in particular, there is some substantial outlier. I modify the NSSC algorithm to apply all colors and compare the two algorithms to apply same color combinations of web safe colors. A new algorithm considering color temperature feeling as a component of the color contrast is proposed and implemented. As the results of this study, the existing two algorithms are not contradictory to each other, 82% of all color combinations of web safe colors are not proper combinations according to W3C guide which provide severe restriction to select colors in web documents compared to NSSC algorithm. Experimental test shows proposed algorithm is superior to the W3C algorithm with respect to the linearity of relationship between color contrast and readability rating. It means a color temperature feeling is an effective component of a color contrast. But to determine best contribution ratio of the color temperature feeling, further study is required and it is related to Hangul font style and size. The more popular a mobile color display is used, the more important accessibility factor a color contrast will be.