QuranMorph: Morphologically Annotated Quranic Corpus
Diyam Akra, Tymaa Hammouda, Mustafa Jarrar
TL;DR
QuranMorph is a manually annotated, morphologically rich corpus of the Quran with detailed lemmatization and POS tagging, facilitating advanced linguistic analysis and resource interlinking.
Contribution
It introduces a comprehensive, manually annotated Quranic corpus with detailed morphological and POS tags, linked to multiple linguistic resources, and publicly available.
Findings
High-quality manual annotations for 77,429 tokens
Rich morphological and POS tagging with 40 tags
Inter-linking with various linguistic resources
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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