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.
2016
9781509007516
9781509007516
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].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/312127
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact