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Kholood Al Tabash

Kholood Al Tabash has 3 papers in our library, in 2025–2026, most of them on Semitic languages, Vision & language; often with Ahmad Ghannam, Faris Alasmary, Lahouari Ghouti.

3 papers in our library · 2025–2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 6 times in our library · ⭐ Paper Stars ranking: #10359

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

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workDecision Sciences · 1 workManagement Science and Operations Research · 1 workSignal Processing · 1 work

🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 3 worksVision & language · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Abjad AI at NADI 2025: CATT-Whisper: Multimodal Diacritic Restoration Using Text and Speech Representations (2025 · 6 citations)
    The paper addresses restoring missing diacritics in Arabic text. It targets dialectal, Classical and code-switched Arabic, where spelling alone often leaves vowelling ambiguous. The authors, from Abjad AI, submitted CATT-Whisper to NADI 2025 Subtask 3. The system pairs the encoder of their earlier character-based…
  2. Abjad AI at KSAA-2026 Shared Task 2: Grouped Speech Conditioning for Arabic Diacritization (2026)
    The paper addresses speech-aware Arabic diacritization for KSAA-2026 Shared Task 2. Given dictated audio and its undiacritized transcript, a system must produce fully vowelized text. Many Arabic words allow several valid vowelizations, and text alone often cannot choose between them, while the audio usually can. The…
  3. CANDLE: CTC-based Arabic Noisy-character Deduplication using a Lightweight Encoder (2026)
    Writers on social media often stretch Arabic words by repeating letters for emphasis. Some doubled letters, however, belong to the correct spelling, and collapsing them can turn one word into another, for example "kingdom" into "queen". CANDLE tackles this without rules, dictionaries or morphological analyzers. It…

 Co-authors here

5 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 6 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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