In this contribution we illustrate the methodology and the results of an experiment we conducted by applying Distributional Semantics Models to the analysis of the Holy Quran. Our aim was to gather information on the potential differences in meanings that the same words might take on when used in Modern Standard Arabic w.r.t. their usage in the Quran. To do so we used the Penn Arabic Treebank as a contrastive corpus

An application of distributional semantics for the analysis of the Holy Quran / Benotto, Giulia; Giovannetti, Emiliano; NAHLI, OUAFAE. - ELETTRONICO. - (2016), pp. 374-379. (Intervento presentato al convegno 4th IEEE International Colloquium on Information Science and Technology, CiSt 2016 tenutosi a Morocco) [10.1109/CIST.2016.7805074].

An application of distributional semantics for the analysis of the Holy Quran

NAHLI, OUAFAE
2016

Abstract

In this contribution we illustrate the methodology and the results of an experiment we conducted by applying Distributional Semantics Models to the analysis of the Holy Quran. Our aim was to gather information on the potential differences in meanings that the same words might take on when used in Modern Standard Arabic w.r.t. their usage in the Quran. To do so we used the Penn Arabic Treebank as a contrastive corpus
2016
4th IEEE International Colloquium on Information Science and Technology, CiSt 2016
Classical Arabic; Contrastive Linguistics; Distributional Semantics; Modern Standard Arabic; the Holy Quran; Computer Science Applications1707 Computer Vision and Pattern Recognition; Signal Processing; Information Systems and Management; Management Science and Operations Research
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
An application of distributional semantics for the analysis of the Holy Quran / Benotto, Giulia; Giovannetti, Emiliano; NAHLI, OUAFAE. - ELETTRONICO. - (2016), pp. 374-379. (Intervento presentato al convegno 4th IEEE International Colloquium on Information Science and Technology, CiSt 2016 tenutosi a Morocco) [10.1109/CIST.2016.7805074].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/929979
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