Abstract
Readers wishing to learn a new language need texts adapted to their reading level. Indeed, readers with language or learning difficulties encounter challenges in understanding texts containing complex words. Therefore, identifying these words and generating easier synonyms and definitions can enhance text comprehension. In order to confront these problems, we introduce in this study a lexical simplification approach to educational Arabic texts based on readability measurements. This approach involves the task of identifying complex words and proposing substitution candidates followed by a process of selecting the best substitution and replacing it in the original text. The performance of the approach is evaluated on two different corpora dedicated to readers of Arabic as a first foreign language. The obtained results are very encouraging and constitute a first attempt to automate the simplification of Arabic texts in order to support new learners.
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