Shazila Abdullah, Norasyikin Abdul Malik, Mohamad Syafiq Ya Shak, N. Anuar
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The list of lexical items was then compared with the same list of items in the Malaysian Web (MalaysianWaC), a default Malay Reference Corpus set in Sketch Engine. \n \nFindings: Through wordlist analysis, the most frequently used words in the analysed corpus are generally linked to political or government entity (e.g., kerajaan, menteri, and perdana) and the welfare of the Malaysians (e.g., rakyat, kesihatan, and epidemik). The keyword analysis indicates that words related to the containment of the pandemic and reference to the Malaysians (e.g., saudara-saudari, pelitup, and penjarakan) show high keyness values. Finally, through concordance analysis some words with high keyness scores are used differently in both specialised Malay corpus and Reference Corpus. From the analyses, the most used words in the specialised corpus are related to the issue of COVID-19. \n \nContributions: It is hoped that this study would contribute to the corpus linguistic studies on COVID-19 to comprehend the use of COVID-19 related lexical items. \n \nKeywords: Corpus analysis, specialised corpus, COVID-19, WordSmith Tool, lexical analysis. \n \nCite as: Abdullah, S., Malik, N. A., Shak, M. S., & Anuar, N. (2023). A corpus-based lexical analysis of Covid-19 special messages by the former prime minister of Malaysia. Journal of Nusantara Studies, 8(2), 44-72. http://dx.doi.org/10.24200/jonus.vol8iss2pp44-72","PeriodicalId":16687,"journal":{"name":"Journal of Nusantara Studies (JONUS)","volume":"48 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A CORPUS-BASED LEXICAL ANALYSIS OF COVID-19 SPECIAL MESSAGES BY THE FORMER PRIME MINISTER OF MALAYSIA\",\"authors\":\"Shazila Abdullah, Norasyikin Abdul Malik, Mohamad Syafiq Ya Shak, N. Anuar\",\"doi\":\"10.24200/jonus.vol8iss2pp44-72\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background and Purpose: The global emergence and rise of COVID-19 pandemic in 2020 have a serious effect on a nation’s economic and social well-being, including Malaysia. During lockdown period, the former Prime Minister delivered Special Messages on the updates of COVID-19 issues in Malaysia on television. A specialised Malay corpus, i.e., Cov-19 Related Special Messages Corpus, consisting of 19 Special Messages texts by Muhyiddin Yasin, the former Prime Minister of Malaysia was examined to reveal its lexical profiling. \\n \\nMethodology: The specialised corpus was analysed using Sketch Engine tool, fully utilising the Wordlist, Keyword, and Concordance functions for the purpose of lexical analysis. The list of lexical items was then compared with the same list of items in the Malaysian Web (MalaysianWaC), a default Malay Reference Corpus set in Sketch Engine. \\n \\nFindings: Through wordlist analysis, the most frequently used words in the analysed corpus are generally linked to political or government entity (e.g., kerajaan, menteri, and perdana) and the welfare of the Malaysians (e.g., rakyat, kesihatan, and epidemik). The keyword analysis indicates that words related to the containment of the pandemic and reference to the Malaysians (e.g., saudara-saudari, pelitup, and penjarakan) show high keyness values. Finally, through concordance analysis some words with high keyness scores are used differently in both specialised Malay corpus and Reference Corpus. From the analyses, the most used words in the specialised corpus are related to the issue of COVID-19. \\n \\nContributions: It is hoped that this study would contribute to the corpus linguistic studies on COVID-19 to comprehend the use of COVID-19 related lexical items. \\n \\nKeywords: Corpus analysis, specialised corpus, COVID-19, WordSmith Tool, lexical analysis. \\n \\nCite as: Abdullah, S., Malik, N. A., Shak, M. S., & Anuar, N. (2023). A corpus-based lexical analysis of Covid-19 special messages by the former prime minister of Malaysia. 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引用次数: 0
摘要
背景与目的:2020年全球新冠肺炎大流行的出现和上升，对包括马来西亚在内的一个国家的经济和社会福祉产生了严重影响。在封锁期间，前总理在电视上就新冠肺炎疫情最新情况发表特别致辞。一个专门的马来语料库，即covid -19相关特别信息语料库，由马来西亚前首相慕尤丁·亚辛的19个特别信息文本组成，以揭示其词汇分析。方法:使用Sketch Engine工具对专业语料库进行分析，充分利用Wordlist、Keyword和Concordance功能进行词法分析。然后将词法条目列表与马来西亚Web (MalaysianWaC)中的相同条目列表进行比较，后者是Sketch Engine中设置的默认马来语参考语料库。结果:通过词表分析，分析的语料库中最常用的词通常与政治或政府实体(例如，kerajaan, menteri和perdana)和马来西亚人的福利(例如，rakyat, kesihatan和流行病)有关。关键字分析显示，与疫情防控和提及马来西亚人有关的词语(例如，saudara-saudari、pelitup和penjarakan)显示出较高的关键字值。最后，通过一致性分析，马来语专业语料库和参考语料库中一些关键字得分较高的词的使用存在差异。从分析来看，专业语料库中使用最多的词与COVID-19问题有关。贡献:希望本研究能对COVID-19语料库语言学研究有所贡献，以理解COVID-19相关词汇的使用。关键词:语料库分析，专业语料库，COVID-19, WordSmith工具，词法分析引自:Abdullah, S.， Malik, N. A.， Shak, M. S.， & Anuar, N.(2023)。基于语料库的马来西亚前总理新冠肺炎特别讲话词汇分析自然科学学报，8(2)，44-72。http://dx.doi.org/10.24200/jonus.vol8iss2pp44-72
A CORPUS-BASED LEXICAL ANALYSIS OF COVID-19 SPECIAL MESSAGES BY THE FORMER PRIME MINISTER OF MALAYSIA
Background and Purpose: The global emergence and rise of COVID-19 pandemic in 2020 have a serious effect on a nation’s economic and social well-being, including Malaysia. During lockdown period, the former Prime Minister delivered Special Messages on the updates of COVID-19 issues in Malaysia on television. A specialised Malay corpus, i.e., Cov-19 Related Special Messages Corpus, consisting of 19 Special Messages texts by Muhyiddin Yasin, the former Prime Minister of Malaysia was examined to reveal its lexical profiling.
Methodology: The specialised corpus was analysed using Sketch Engine tool, fully utilising the Wordlist, Keyword, and Concordance functions for the purpose of lexical analysis. The list of lexical items was then compared with the same list of items in the Malaysian Web (MalaysianWaC), a default Malay Reference Corpus set in Sketch Engine.
Findings: Through wordlist analysis, the most frequently used words in the analysed corpus are generally linked to political or government entity (e.g., kerajaan, menteri, and perdana) and the welfare of the Malaysians (e.g., rakyat, kesihatan, and epidemik). The keyword analysis indicates that words related to the containment of the pandemic and reference to the Malaysians (e.g., saudara-saudari, pelitup, and penjarakan) show high keyness values. Finally, through concordance analysis some words with high keyness scores are used differently in both specialised Malay corpus and Reference Corpus. From the analyses, the most used words in the specialised corpus are related to the issue of COVID-19.
Contributions: It is hoped that this study would contribute to the corpus linguistic studies on COVID-19 to comprehend the use of COVID-19 related lexical items.
Keywords: Corpus analysis, specialised corpus, COVID-19, WordSmith Tool, lexical analysis.
Cite as: Abdullah, S., Malik, N. A., Shak, M. S., & Anuar, N. (2023). A corpus-based lexical analysis of Covid-19 special messages by the former prime minister of Malaysia. Journal of Nusantara Studies, 8(2), 44-72. http://dx.doi.org/10.24200/jonus.vol8iss2pp44-72
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