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BEA Final by 2257011061 is a document available to read on EtoBox.

This paper focuses on assessing text readability for second language (L2) learners, addressing challenges such as the lack of adequately annotated data. The authors developed a system that utilizes a dataset of CEFR-graded texts and employs various methods to adapt models trained on native data to improve readability predictions for L2 learners. Their experiments resulted in a model achieving an accuracy of 0.797 and a Pearson correlation coefficient of 0.938, highlighting the importance of grammatical feat

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2257011061
Language
EN