A New Rule-Based Approach for Classical Arabic in Natural Language Processing by Ramzi Salah, Muaadh Mukred, Lailatul Qadri binti Zakaria, Rashad Ahmed, Hasan Sari

“…This new approach was introduced to overcome the challenges related to coverage in rule-based NER systems, especially when dealing with Classical Arabic texts. It improved their performance and allowed for automated rule updates. …”
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Crisi identitaria e speculazione panarabista nella Tunisia post-rivoluzionaria: che ne facciamo della tunisianità e della lingua tunisina? by Alfonso Campisi

“…Even that not correspond to the linguistic reality of the country, because classical Arabic is not spoken in Tunisia. People speaks Tunisian Arabic. …”
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Exploring the Performance of Tagging for the Classical and the Modern Standard Arabic by Dia AbuZeina, Taqieddin Mostafa Abdalbaset

“…This result promotes the need for further research to expose why the tagging is severely inaccurate for classical Arabic. The performance decline might be an indication of the necessity to distinguish between training data for both classical and MSA Arabic for NLP tasks.…”
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SynoExtractor: A Novel Pipeline for Arabic Synonym Extraction Using Word2Vec Word Embeddings by Rawan N. Al-Matham, Hend S. Al-Khalifa

“…SynoExtractor obtained a 0.605 mean average precision (MAP) for the King Saud University Corpus of Classical Arabic with 21% improvement over the baseline and a 0.748 MAP for the Gigaword corpus with 25% improvement. …”
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Morphologically-analyzed and syntactically-annotated Quran datasetMendeley Data by Majdi Sawalha, Faisal Al-Shargi, Sane Yagi, Abdallah T. AlShdaifat, Bassam Hammo, Mariam Belajeed, Lubna R. Al-Ogaili

“…The Quran, being a cornerstone of classical Arabic, presents unique challenges for NLP due to its sacred nature and complex linguistic features. …”
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