Salam Khalifa · page 2
Papers
- Computational Benchmarks for Egyptian Arabic Child Directed Speech (2026)
ARABABYTALK-EGY makes Arabic child-adult interaction data usable for NLP. The Egyptian Arabic CHILDES corpus (EGYCHILDES) existed only as near-phonemic IPA transcriptions. Arabic NLP tools need orthographic input, so the corpus could not be used even for basic processing. The authors enriched it with three layers… - Learning Stress in Arabic Low-Resource Settings (2026)
The paper addresses automatic prediction of lexical stress in spoken Arabic varieties, which have far fewer resources than Modern Standard Arabic. - YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models (2026)
YallaMorph is a benchmark of over 600,000 test instances for controlled Arabic morphological generation. The task gives a lemma, a part of speech, a gloss and a feature bundle, and the model must produce the surface form, or say that the configuration is invalid. Items cover verbs (active and passive, perfective and…
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