A Derivational ChainBank for Modern Standard Arabic
This work addresses a domain-specific problem for computational linguistics and Arabic language processing, focusing on incremental improvements in morphological analysis.
The authors tackled the challenge of modeling Arabic derivational morphology by introducing a Derivational ChainBank, which resulted in a knowledge graph with 23,333 derivational connections linking derived words to their bases.
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 corresponding lemma bases through derivational relations, encompassing 23,333 derivational connections.