A Derivational ChainBank for Modern Standard Arabic

TL;DR

This paper presents a novel Arabic Derivational Chain Bank that models the relationships between form and meaning, creating a knowledge graph of derivational relations aligned with existing morphological data.

Contribution

It introduces a new derivational chain bank for Arabic, linking lemmas through derivational relations and integrating it with morphological analysis data.

Findings

Constructed a knowledge graph with 23,333 derivational connections.

Aligned derivational chains with the CAMELMORPH database.

Enabled better modeling of Arabic derivational morphology.

Abstract

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.