LXPER Index 2.0: Improving Text Readability Assessment for L2 English Learners in South Korea
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Most text readability assessment models are developed for the native readers of English and have low accuracy for texts in foreign English Language Training (ELT) curriculum. In this paper, we investigate a text readability assessment model for L2 English learners in Korea. In accordance, we improve and expand the Text Corpus of the Korean ELT curriculum (CoKEC-text). Each text is labeled with its target grade level. We train our model with CoKEC-text and significantly improve the accuracy of readability assessment for texts in the Korean ELT curriculum.
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