QuranMorph: Morphologically Annotated Quranic Corpus

Diyam Akra, Tymaa Hammouda, Mustafa Jarrar
6/22/2025
cs.CLcs.AI

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Abstract

We present the QuranMorph corpus, a morphologically annotated corpus for the Quran (77,429 tokens). Each token in the QuranMorph was manually lemmatized and tagged with its part-of-speech by three expert linguists. The lemmatization process utilized lemmas from Qabas, an Arabic lexicographic database linked with 110 lexicons and corpora of 2 million tokens. The part-of-speech tagging was performed using the fine-grained SAMA/Qabas tagset, which encompasses 40 tags. As shown in this paper, this rich lemmatization and POS tagset enabled the QuranMorph corpus to be inter-linked with many linguistic resources. The corpus is open-source and publicly available as part of the SinaLab resources at (https://sina.birzeit.edu/quran)

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Cite this paper

@article{akra2025quranmorph,
  title  = {QuranMorph: Morphologically Annotated Quranic Corpus},
  author = {Diyam Akra and Tymaa Hammouda and Mustafa Jarrar},
  year   = {2025},
  eprint = {2506.18148},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2506.18148v1}
}

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