Quranic Arabic Corpus

The project aims to provide morphological and syntactic annotations for researchers wanting to study the language of the Quran.

[1][2][3][4][5] The grammatical analysis helps readers further in uncovering the detailed intended meanings of each verse and sentence.

For example, annotation involves deciding whether a word is a noun or a verb, and if it is inflected for masculine or feminine.

The first stage of the project involved automatic part-of-speech tagging by applying Arabic language computing technology to the text.

Linguistic research for the Quran that uses the annotated corpus includes training Hidden Markov model part-of-speech taggers for Arabic,[8] automatic categorization of Quranic chapters,[9] and prosodic analysis of the text.