{"title":"Sequential order of antonym pairs in Modern Standard Arabic: A corpus-based analysis","authors":"Hamada S.A. Hassanein , Basant S.M. Moustafa","doi":"10.1016/j.lingua.2024.103742","DOIUrl":null,"url":null,"abstract":"<div><p>The present study investigates the rules which govern antonym sequences in Modern Standard Arabic (MSA) by means of triangulation, i.e., a mixed-method design of quantification and qualification, whereby corpus tools are utilized to identify and examine antonym sequences in the Arabic corpus arTenTen18 integrated in Sketch Engine online interface. Ranging from qualitative to quantitative analyses, several studies took the order of antonym pairs in various languages as their focus, but no previous study examined this linguistic phenomenon in MSA using corpus-based methods. To give a panoramic account and conduct a rigorous analysis of antonym sequence in MSA, the current study combines both quantitative and qualitative approaches based upon studies across English, Serbian, Chinese, Persian, and Qur’anic Arabic, respectively. The study concludes that all the previously investigated antonym sequence rules drawn from English, Serbian, Chinese, Persian, and Qur’anic Arabic are replicable with an MSA corpus. Moreover, the rules controlling the co-occurrences of antonym pairs were also found to occasionally overlap. Contextual factors were found to play a crucial role in determining which rules are operative and which are solidly overruled.</p></div>","PeriodicalId":47955,"journal":{"name":"Lingua","volume":"306 ","pages":"Article 103742"},"PeriodicalIF":1.1000,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lingua","FirstCategoryId":"98","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0024384124000718","RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
The present study investigates the rules which govern antonym sequences in Modern Standard Arabic (MSA) by means of triangulation, i.e., a mixed-method design of quantification and qualification, whereby corpus tools are utilized to identify and examine antonym sequences in the Arabic corpus arTenTen18 integrated in Sketch Engine online interface. Ranging from qualitative to quantitative analyses, several studies took the order of antonym pairs in various languages as their focus, but no previous study examined this linguistic phenomenon in MSA using corpus-based methods. To give a panoramic account and conduct a rigorous analysis of antonym sequence in MSA, the current study combines both quantitative and qualitative approaches based upon studies across English, Serbian, Chinese, Persian, and Qur’anic Arabic, respectively. The study concludes that all the previously investigated antonym sequence rules drawn from English, Serbian, Chinese, Persian, and Qur’anic Arabic are replicable with an MSA corpus. Moreover, the rules controlling the co-occurrences of antonym pairs were also found to occasionally overlap. Contextual factors were found to play a crucial role in determining which rules are operative and which are solidly overruled.
期刊介绍:
Lingua publishes papers of any length, if justified, as well as review articles surveying developments in the various fields of linguistics, and occasional discussions. A considerable number of pages in each issue are devoted to critical book reviews. Lingua also publishes Lingua Franca articles consisting of provocative exchanges expressing strong opinions on central topics in linguistics; The Decade In articles which are educational articles offering the nonspecialist linguist an overview of a given area of study; and Taking up the Gauntlet special issues composed of a set number of papers examining one set of data and exploring whose theory offers the most insight with a minimal set of assumptions and a maximum of arguments.