Unraveling Code-Mixing Patterns: A Practical Investigation into the Sociolinguistics Drivers in Diverse Pakistani Context

Authors

  • Faiza Yaqoob MS Scholar, Department of Linguistics and Communications, University of Management and Technology, Sialkot Campus, Punjab, Pakistan
  • Sibtain Aslam Lecturer, Department of English and Literary Studies, University of Management and Technology, Sialkot Campus, Punjab, Pakistan

DOI:

https://doi.org/10.35484/pssr.2023(7-III)67

Keywords:

Code-mixing, Descriptive Qualitative Approach, Pakistani Context, Sociolinguistics

Abstract

This study aims to do a pragmatic analysis of different types of code-mixing in various social settings of Pakistan and to identify the factors that affect the sociolinguistic patterns of code-mixing. Code-mixing refers to mixing two or more language clusters in a particular expression, or paragraph. This is manifested through blending words, grammar, or even whole sentences from several languages during communication. This linguistic behavior occurs in multilingual or bilingual communities and is shaped by various sociolinguistic factors. Using a descriptive qualitative method that combines in-depth observation with interviews and linguistic analysis, the research aims to identify and analyze sociolinguistic factors affecting code-mixing. The sociolinguistic factors that drive code-mixing include social individuality, language proficiency, and the conversation context. The findings of this research highlight the dominant type of code-mixing and the reasons that inspire people to engage in code-mixing. This paper recommends that policy implications and language education should be advanced for the awareness of code-mixing, affecting language teaching methodologies.

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Published

2023-09-30

Details

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    PDF Downloads: 58

How to Cite

Yaqoob, F., & Aslam, S. (2023). Unraveling Code-Mixing Patterns: A Practical Investigation into the Sociolinguistics Drivers in Diverse Pakistani Context. Pakistan Social Sciences Review, 7(3), 832–844. https://doi.org/10.35484/pssr.2023(7-III)67