Aya Hamod

Aya Hamod has 2 papers in our library, in 2026, most of them on Machine translation, Semitic languages, English; often with Omer Nacar, Abdellah EL Mekki, Baraah Qawasmeh.

2 papers in our library · 2026

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Alexandria: A Multi-Domain Dialectal Arabic Machine Translation Dataset for Culturally Inclusive and Linguistically Diverse LLMs (2026 · 4 citations)
In day-to-day life, Arabic speakers mostly use their local dialects instead of Modern Standard Arabic. MT systems trained mainly on MSA or English-centric data therefore handle dialectal input poorly. Earlier parallel resources (PADIC, MADAR, FLORES+) have limits: narrow domains, short sentences, or dialect entries…
NAJD-MT: High-Fidelity Saudi Najdi–English Training Data for Bidirectional Neural Machine Translation (2026)
Parallel data pairing Saudi Najdi Arabic directly with English is scarce. Pivoting through MSA can compound errors and lose dialect nuance, so the authors build NAJD-MT, a synthetic Najdi–English corpus for training translation in both directions. They take the Najdi portion of the speech-transcript dataset SADA and…

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Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated 1 November 2026