Discourse Analysis of Written Text on Pakistani Public Transport Vehicles
- Rafia Bilal
- Wasima Shehzad
Abstract
This research focuses on the discourse analysis of the text written on Pakistani public transport vehicles. The data were collected from the roads, parking lots and market places in the twin cities of Rawalpindi and Islamabad. The text was written in three languages, English, Urdu and Punjabi. The sample size was fifty but in order to delimit the study, the data size was reduced to ten. The data classification was done keeping into consideration the grounded theory, as the thematic categories of data emerged after data collection. They included love for religion, parents, opposite sex and country. Moreover, it highlighted the theme of morality, socio-economic problems, desire for upward mobility and wisdom-based quotations. The data were then analyzed keeping in mind Janks’ rubrics for linguistic analysis. The linguistic analysis showed that the text employs lexicalization, overlexicalization, lexical cohesion and there is extensive use of metaphors, euphemism and personification. It was noted that the text was multilingual as it was in Urdu, Punjabi or English language with a lot of code switching. The data were then further analyzed to highlight the social and moral attributes of language users, the socio-economic problems they face and their struggle for upward mobility. The social analysis provided a deep insight into the life of public transport drivers in Pakistani society.
- Full Text: PDF
- DOI:10.5539/ijel.v9n1p496
Journal Metrics
Google-based Impact Factor (2021): 1.43
h-index (July 2022): 45
i10-index (July 2022): 283
h5-index (2017-2021): 25
h5-median (2017-2021): 37
Index
- Academic Journals Database
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- CNKI Scholar
- CrossRef
- Excellence in Research for Australia (ERA)
- IBZ Online
- JournalTOCs
- Linguistic Bibliography
- Linguistics and Language Behavior Abstracts
- LOCKSS
- MIAR
- MLA International Bibliography
- PKP Open Archives Harvester
- Scilit
- Semantic Scholar
- SHERPA/RoMEO
- UCR Library
Contact
- Diana XuEditorial Assistant
- ijel@ccsenet.org