Kareem Darwish · page 3
Papers
- Building a Heterogeneous Information Retrieval Collection of Printed Arabic Documents (2006 · 3 citations)
The paper addresses a gap in Arabic search research. There was no large, realistic benchmark for retrieving Arabic text produced by OCR, which is often error-ridden. The authors drew on the Bibliotheca Alexandrina's part of the Million Book Project (75,000 Arabic books). They sampled about 25 pages from each of 1,378… - More Data, Fewer Diacritics: Scaling Arabic TTS (2026 · 2 citations)
Arabic speech synthesis has two problems. There is little public training audio, and written Arabic usually omits diacritics, the short-vowel marks that determine pronunciation. Existing public corpora are small and fully diacritized; the largest has 83 hours, most of it synthetic. The authors gathered about 20k… - Tool Calling for Arabic LLMs: Data Strategies and Instruction Tuning (2025 · 2 citations)
Most tool-calling resources and research target English, so it is unclear how to give an Arabic LLM reliable function-calling skills. - Creating Arabic LLM Prompts at Scale (2024 · 1 citation)
Arabic has very few instruction-style training examples (prompts paired with gold answers). Such data is what turns a base LLM into an assistant that follows requests. The authors build this data cheaply in two ways. First, they write PromptSource templates over about 78 public Arabic NLP datasets, which yields… - Automatic Expansion and Retargeting of Arabic Offensive Language Training (2021)
The paper tackles a gap in Arabic offensive-language detection. Generic classifiers often miss abuse aimed at a particular entity, because such abuse can rely on deliberately twisted spellings of the target's name or on ordinary words used with hostile intent. The authors propose growing the training data…
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