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Feature Optimization for Predicting Readability of Arabic L1 and L2

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Table 1: Comparative summary of recent work and our current study on computational readability forArabic in terms of corpus size, focus on L1 or L2, use of shallow vs
Table 2: Our feature set organized by category. Allfeatures are calculated per document, and sentencelevel features are averaged per document
Figure 1: TOP: Example of linguistic annotations for the sentence � ‘History offers us plenty of lessons and sermons.’; BOTTOM: Table of F�� ������ ������ ��� �������� ��� ������� ����������EAT RawBase feature values com-puted for the example sentence given.
Table 3: Descriptive corpus statistics for our L1 and L2 data.
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