Nature and frequency of code mixing in spoken discourse of public and private institutions of Lahore
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Date
2016
Authors
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Journal ISSN
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Publisher
University of Management and Technology Lahore
Abstract
The study aims to inspect the nature and frequency of English, Urdu code-mixing among the male and female students of universities of Lahore with specific reference to eight parts of speech as linguistic variables. Data for this research is collected from eight major Universities of Lahore. The design is mixed method. Forty respondents were interviewed, and their discourse was recorded, and then transcribed. The researcher counted the number of words which had been borrowed from English. Next, the researcher classified the borrowed words into parts of speech and analyzed how the respondents had tried to adjust different English parts of speech into Urdu structure. Bar graph is used to find the difference in frequency of mixing code, Pie graph is used to find out the differences in percentages after getting the result of specific parts of speech. It examines the linguistic phenomenon of code mixing among the overall students and with respect to gender also. The researcher observed substantial difference in the percentage, and the way each of the eight parts of speech were mixed in Urdu sentences. The most frequently mixed parts of speech was noun. The rest of them are arranged in the descending order: verbs, Adjectives, pronouns, conjunction,preposition, adverbs and articles. It is also found that in some universities males seem to use nouns in code-mixing relatively higher than females and in some universities females tend to use higher amounts of code-mixing. Moreover, the present linguistic environment of the country provides space for interaction between national and international language (English). With this situation, code-mixing occurs adequately that is highlighted through the present study. This study will not only focus code-mixing frequency in the educational field, but also gives ways for research in other social domains of language to know the code-mixing ratio.
Description
Supervised by:Ather Khursheed
Keywords
Code mixing, Linguistic variables, M.Phil Thesis