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Sarah Abdul-Ameer Mussa
Universiti Kebangsaan Malaysia
Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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A Novel Method of Semantic Relatedness Measurements for Word Sense Disambiguation on English AlQuran Abdul-Ameer Mussa, Sarah; Tiun, Sabrina
Bulletin of Electrical Engineering and Informatics Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v4i3.455

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.
Co-Authors Sabrina Tiun