A historically important tradition in exegesis, rooted in a number of scriptural passages, considers the Qur'an to be a self-similar text. This claim, while being sharply debated in literature, has never been independently tested. This paper proposes a strategy to measure self-similarity in classical Arabic texts, based on Leven-shtein distance, within the Self-Similar Qur'an (SSQ) project. The significance of self-similarity is checked against two tests: the similarity found in another religious text written in classical Arabic (the Arabic translation of the Diatessaron) and blind similarity judgments of uniformed readers on the translations of pairs of verses.
Lancioni, G., Villano, R., Romani, F.R. (2016). The self-similar Qur'an project: Automatic detection of internal similarity in classical Arabic texts. In Colloquium in Information Science and Technology, CIST (pp. 355-360). Institute of Electrical and Electronics Engineers Inc. [10.1109/CIST.2016.7805071].
The self-similar Qur'an project: Automatic detection of internal similarity in classical Arabic texts
LANCIONI, GIULIANO;VILLANO, RAOUL;ROMANI, FRANCESCA ROMANA
2016-01-01
Abstract
A historically important tradition in exegesis, rooted in a number of scriptural passages, considers the Qur'an to be a self-similar text. This claim, while being sharply debated in literature, has never been independently tested. This paper proposes a strategy to measure self-similarity in classical Arabic texts, based on Leven-shtein distance, within the Self-Similar Qur'an (SSQ) project. The significance of self-similarity is checked against two tests: the similarity found in another religious text written in classical Arabic (the Arabic translation of the Diatessaron) and blind similarity judgments of uniformed readers on the translations of pairs of verses.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.