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AbdelRahim Elmadany

6 papers on this site · 2019–2026

current affiliationUniversity of British Columbia, Vancouver, Canada; Taiz University, Ta‘izz, Yemen

AbdelRahim Elmadany has 6 papers on this site, in 2019–2026, most of them on Semitic languages, Speech act theory, Machine translation; often with Muhammad Abdul-Mageed, El Moatez Billah Nagoudi, Saad Ezzini.

OpenAlex · h-index 14 · 84 works · 1 198 citations OpenAlex, 2026-10-14

6 works on this site · 907 citations in our library · 27 more works in our library

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

Topics

Semitic languages6Speech act theory1Machine translation1Text generation1Speech & spoken language1

Papers

The most cited first (OpenAlex and our library).

  1. ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic (2021 · 478 citations)
    Arabic includes Modern Standard Arabic (MSA) and many regional dialects. Multilingual models such as mBERT and XLM-R handle it poorly, are expensive at inference, and lack enough native social-media and dialect data. The existing Arabic model AraBERT also has limited data diversity, dialect support and evaluation…
  2. AraT5: Text-to-Text Transformers for Arabic Language Generation (2022 · 201 citations)
    Multilingual encoder-decoder models such as mT5 cover Arabic, but it was unclear how well they handle the language's many dialects. There was also no Arabic sequence-to-sequence model and no shared benchmark for Arabic text generation. The authors address both gaps.
  3. On the Robustness of Arabic Speech Dialect Identification (2023 · 18 citations)
    Arabic dialect identification (ADI) systems often act as filters in large web-scale pipelines that gather speech for training ASR.
  4. Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations (2019 · 18 citations)
    This paper presents what the authors describe as the first reported experiments on speech act recognition for Arabic asynchronous conversations, specifically tweets.
  5. AlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translation (2026 · 2 citations)
    AlexandriaX 2026 is a shared task on machine translation for Arabic dialects. Most Arabic tools were built for MSA. Dialect output can keep the meaning and still sound wrong, for example through incorrect gender agreement, the wrong level of formality, or MSA slipping in. Aggregate metrics also say little about why…
  6. Bulbul: A Dataset for Dialectal Arabic Speech Recognition (2026 · 1 citation)
    Arabic speech recognition struggles because speech resources are scarce and skewed toward a few varieties: MSA, Egyptian, broad Levantine, Gulf and Moroccan.

Also in our library

27 more works of theirs are in our library without a page here yet; they will appear as we publish them.

Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 907 times (of the 140 884 papers whose bibliographies we read); 123 citing papers with a page here →.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/abdelrahim-elmadany/