Contrastive Analysis of Color Representations Using Semantic Corpus Annotation “POS Tagging”:The Holy Quran- A Case Study

Abstract

This paper addresses the challenging task of identifying semantic features in the Quran from a corpus-based as well as computational perspective, namely color identification. The study attempts to identify, locate, and demonstrate the frequencies, occurrences, and concordances of the colors in the Quran using AntConc and The Simple Corpus Tool, the results are compared to earlier manual work and the information available at corpus.quran.com, a University of Leeds's Corpus work on the Holy Quran. The research undertakes the task of semantically annotating lexical items related to colors as well as examining them in concordance and corpus software tools. The results are compared with special attention to the colors' co-occurrences in an endeavor to better understand the connotations of colors in the Quran. The paper identifies a gap in the Leeds's Corpus work on the Quran and recommends filling the gap with the work entailed in the study.