A Novel Method of Semantic Relatedness Measurements for Word Sense Disambiguation on English AlQuran

TLDR: The finding results showed that the Wu–Palmer approach determine the similarity of senses as the most accurate, followed by the Lin, and Jiang–Conrath, and the combination of these measurements achieves higher accuracy in comparison with the individual result of each measure before.

Abstract: The methods and background introduced in this article concern on the interpretation of the Quranic text in English translation using word sense disambiguation. Three measures of semantic similarity measures: Wu-palmer, Lin and Jiang-Conrath, and their combination  were used to identify words sense on the English Quranic text, in which comparison and detailed evaluation was carried out.  The finding results showed that the Wu–Palmer approach determine the similarity of senses as  the most accurate, followed by the Lin, and Jiang–Conrath.  However, the combination of these measurements (novel method) achieves higher accuracy in comparison with the individual result of each measure before.