{"title":"Contrastive Analysis of Color Representations Using Semantic Corpus Annotation “POS Tagging”:The Holy Quran- A Case Study","authors":"Ahmed H. Kassem, S. Alansary","doi":"10.1109/ESOLEC54569.2022.10009594","DOIUrl":null,"url":null,"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.","PeriodicalId":179850,"journal":{"name":"2022 20th International Conference on Language Engineering (ESOLEC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 20th International Conference on Language Engineering (ESOLEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESOLEC54569.2022.10009594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.
本文从基于语料库和计算的角度解决了古兰经语义特征识别的挑战性任务,即颜色识别。该研究试图使用AntConc和The Simple Corpus Tool来识别、定位和展示古兰经中颜色的频率、出现频率和一致性,并将结果与早期的手工工作和corpus.quran.com上的信息进行比较,corpus.quran.com是利兹大学关于神圣古兰经的语料库工作。本研究的任务是对与颜色相关的词汇项目进行语义标注,并在语料库软件工具中对其进行检查。为了更好地理解《古兰经》中颜色的内涵,将这些结果与特别关注颜色的共现进行了比较。这篇论文指出了利兹的《古兰经》语料库工作中的一个空白,并建议用这项研究所涉及的工作来填补这一空白。