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U4RASD/Muradif

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Permissive or share-alike

The declared licence (cc-by-sa-4.0) is classified as share-alike.

Declared licence: cc-by-sa-4.0, from the tagEvidence: README.md at 8ab9b9d
Licence files: No licence file at the top level of the repositoryEvidence: file list at 8ab9b9d
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@inproceedings{abou-chakra-etal-2026-neoarabert,
    title = "{N}eo{A}ra{BERT}: A Modern Foundation Model for {A}rabic Embeddings with Diacritics-Aware Tokenization and {POS}-Targeted Masking",
    author = "Abou Chakra, Chadi  and
      Hamoud, Hadi Khaled  and
      Rakan Al Mraikhat, Osama  and
      Abu Obaida, Qusai  and
      Ballout, Mohamad  and
      Zaraket, Fadi",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.findings-acl.1293/",
    doi = "10.18653/v1/2026.findings-acl.1293",
    pages = "25952--25968",
    ISBN = "979-8-89176-395-1",
    abstract = "We present NeoAraBERT, a state-of-the-art open-source Arabic text-embedding model built on the NeoBERT architecture. We pre-train NeoAraBERT on diverse open-source and internal datasets covering modern standard, classical, and dialectal Arabic. We guided our design choices with Arabic tailored ablation studies including text normalization, light stemming, and diacritics-aware tokenization handling. We also performed more general POS-aware token masking and learning-rate scheduling ablation studies. We benchmarked NeoAraBERT against five top-performing Arabic models on 23

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dataset_licence({ "id": "U4RASD/Muradif" })
signal: "permissive"
stated_licence: "cc-by-sa-4.0"
sources: 0