A Corpus-based Multidimensional Analysis of Linguistic Variation in Pakistani Newspapers Columns of Opinion during Covid-19
Growing research of language variation has resulted into the recognition of registers or language use in various everyday situations. The present day pandemic of COVID-19 is one of these situations which have affected the use of language Therefore; this stud...
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Format: | Article |
Language: | English |
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Corpus Research Center
2021-12-01
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Series: | Corporum |
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Online Access: | https://journals.au.edu.pk/ojscrc/index.php/crc/article/view/272/173 |
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author | Muhammad Ijaz Adnan Tahir Sajid Ahmed |
author_facet | Muhammad Ijaz Adnan Tahir Sajid Ahmed |
author_sort | Muhammad Ijaz |
collection | DOAJ |
description | Growing research of language variation has resulted into the recognition of registers or language use in various everyday situations. The present day pandemic of COVID-19 is one of these situations which have affected the use of language Therefore; this study has attempted to detect the effect of Covid-19 on the language of leading newspapers in Pakistani print media. It is a corpus study based on quantitative approach to analyze the English language in the columns of opinion in the leading newspapers of Pakistan in the wake of Covid-19 published during the period of 15th March to15th August 2020.The research tools comprise computer assisted corpora of about 2.6 lac words from the selected newspapers and the Multidimensional Analysis Tagger(MAT) with 67 linguistic features. The data has been collected through counting, normalization and standardization of frequencies of parts of speech co-occurring per thousand words as pointed out by Biber (1988). The data has been analyzed by factor analysis and calculation of dimension scores. The statistical ANOVA test has also been conducted to know the significance of variance. The results of this study have been compared with the results of the previous studies on Pakistani political columns and on press reportage in Pakistani print media. Comparison found that language use in Pakistani English newspapers during the COVID-19 is less informational, less narrative, more context dependent, more overt expression of persuasion, and less technical, informal and abstract than the language of political columns and press reportage before COVID-19. |
first_indexed | 2024-03-12T11:35:02Z |
format | Article |
id | doaj.art-f5f3be6c905e418bb23252bc58791ce6 |
institution | Directory Open Access Journal |
issn | 2617-2917 2707-787X |
language | English |
last_indexed | 2024-03-12T11:35:02Z |
publishDate | 2021-12-01 |
publisher | Corpus Research Center |
record_format | Article |
series | Corporum |
spelling | doaj.art-f5f3be6c905e418bb23252bc58791ce62023-09-01T06:40:01ZengCorpus Research CenterCorporum2617-29172707-787X2021-12-01425975A Corpus-based Multidimensional Analysis of Linguistic Variation in Pakistani Newspapers Columns of Opinion during Covid-19Muhammad Ijaz0Adnan Tahir1Sajid Ahmed2Assistant Professor, Department of English Govt. Postgraduate Islamia College FaisalabadAssociate Professor, Department of English Emerson University, MultanAssistant Professor, Department of English Govt. Postgraduate College Samanabad, FaisalabadGrowing research of language variation has resulted into the recognition of registers or language use in various everyday situations. The present day pandemic of COVID-19 is one of these situations which have affected the use of language Therefore; this study has attempted to detect the effect of Covid-19 on the language of leading newspapers in Pakistani print media. It is a corpus study based on quantitative approach to analyze the English language in the columns of opinion in the leading newspapers of Pakistan in the wake of Covid-19 published during the period of 15th March to15th August 2020.The research tools comprise computer assisted corpora of about 2.6 lac words from the selected newspapers and the Multidimensional Analysis Tagger(MAT) with 67 linguistic features. The data has been collected through counting, normalization and standardization of frequencies of parts of speech co-occurring per thousand words as pointed out by Biber (1988). The data has been analyzed by factor analysis and calculation of dimension scores. The statistical ANOVA test has also been conducted to know the significance of variance. The results of this study have been compared with the results of the previous studies on Pakistani political columns and on press reportage in Pakistani print media. Comparison found that language use in Pakistani English newspapers during the COVID-19 is less informational, less narrative, more context dependent, more overt expression of persuasion, and less technical, informal and abstract than the language of political columns and press reportage before COVID-19.https://journals.au.edu.pk/ojscrc/index.php/crc/article/view/272/173columns of opinioncovid-19language variation |
spellingShingle | Muhammad Ijaz Adnan Tahir Sajid Ahmed A Corpus-based Multidimensional Analysis of Linguistic Variation in Pakistani Newspapers Columns of Opinion during Covid-19 Corporum columns of opinion covid-19 language variation |
title | A Corpus-based Multidimensional Analysis of Linguistic Variation in Pakistani Newspapers Columns of Opinion during Covid-19 |
title_full | A Corpus-based Multidimensional Analysis of Linguistic Variation in Pakistani Newspapers Columns of Opinion during Covid-19 |
title_fullStr | A Corpus-based Multidimensional Analysis of Linguistic Variation in Pakistani Newspapers Columns of Opinion during Covid-19 |
title_full_unstemmed | A Corpus-based Multidimensional Analysis of Linguistic Variation in Pakistani Newspapers Columns of Opinion during Covid-19 |
title_short | A Corpus-based Multidimensional Analysis of Linguistic Variation in Pakistani Newspapers Columns of Opinion during Covid-19 |
title_sort | corpus based multidimensional analysis of linguistic variation in pakistani newspapers columns of opinion during covid 19 |
topic | columns of opinion covid-19 language variation |
url | https://journals.au.edu.pk/ojscrc/index.php/crc/article/view/272/173 |
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