QuranMorph: Morphologically Annotated Quranic Corpus
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866908416646053888 |
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| author | Akra, Diyam Hammouda, Tymaa Jarrar, Mustafa |
| author_facet | Akra, Diyam Hammouda, Tymaa Jarrar, Mustafa |
| contents | 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) |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_18148 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | QuranMorph: Morphologically Annotated Quranic Corpus Akra, Diyam Hammouda, Tymaa Jarrar, Mustafa Computation and Language Artificial Intelligence 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) |
| title | QuranMorph: Morphologically Annotated Quranic Corpus |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2506.18148 |