Sondos Krouna
2025
A Derivational ChainBank for Modern Standard Arabic
Reham Marzouk
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Sondos Krouna
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Nizar Habash
Proceedings of the 1st Workshop on NLP for Languages Using Arabic Script
We introduce the new concept of an Arabic Derivational Chain Bank (CHAINBANK) to leverage the relationship between form and meaning in modeling Arabic derivational morphology. We constructed a knowledge graph network of abstract patterns and their derivational relations, and aligned it with the lemmas of the CAMELMORPH morphological analyzer database. This process produced chains of derived words’ lemmas linked to their correspond- ing lemma bases through derivational relations, encompassing 23,333 derivational connections. The CHAINBANK is publicly available.1