🔗 Who cites «Adapting Standard Open-Source Resources To Tagging A Morphologically Rich Language: A Case Study With Arabic»

2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · ← back to «Adapting Standard Open-Source Resources To Tagging A Morphologically Rich Language: A Case Study With Arabic»

1. Statistical Parsing by Machine Learning from a Classical Arabic TreebankKais Dukes2015 · 27 citations
2. MemeMind at ArAIEval Shared Task: Spotting Persuasive Spans in Arabic Text with Persuasion Techniques IdentificationArabic Natural Language Processing Conference (ArabicNLP)Md. Rafiul Biswas, Zubair Shah, Wajdi Zaghouani2024 · 1 citation

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