QuranMorph: Morphologically Annotated Quranic Corpus
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Abstract (arXiv)
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)
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 8 of its 20 references that are in the map. First posted on arXiv 22 Jun 2025.
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References · 8
- 2020A Panoramic Survey of Natural Language Processing in the Arab Worldcited by 45
- 2022Curras + Baladi: Towards a Levantine Corpuscited by 20
- 2022The Arabic Ontology -- An Arabic Wordnet with Ontologically Clean Contentcited by 19
- 2022ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSDcited by 18
- 2020Extracting Synonyms from Bilingual Dictionariescited by 11
- 2023A Benchmark and Scoring Algorithm for Enriching Arabic Synonymscited by 10
- 2023SALMA: Arabic Sense-Annotated Corpus and WSD Benchmarkscited by 10
- 2024Qabas: An Open-Source Arabic Lexicographic Databasecited by 4
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