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cs.CL2026
Contextual Embedding Evidence for Main--Light Verb Distinctions in Urdu
Farah Adeeba, Miriam Butt
Urdu light verbs contribute schematic event-structural meaning while remaining lexically related to corresponding main verbs. This study tests representational predictions derived…
cs.CL2025
A Paradigm Gap in Urdu
Farah Adeeba, Rajesh Bhatt
In this paper, we document a paradigm gap in the combinatorial possibilities of verbs and aspect in Urdu: the perfective form of the -ya: kar construction (e.g. ro-ya: ki: cry-Pfv…
cs.CL2025
UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu
Farah Adeeba, Brian Dillon, Hassan Sajjad +1
Multilingual Large Language Models (LLMs) have shown remarkable performance across various languages; however, they often include significantly less data for low-resource languages…