Please use this identifier to cite or link to this item:
https://elibrary.tucl.edu.np/handle/123456789/12889
Title: | English Code Mixing In Deuda Songs |
Authors: | Malla, Karn Bahadur |
Keywords: | Deuda song;Holistic analysis |
Issue Date: | 2011 |
Publisher: | Department of English Education |
Institute Name: | Central Department of Education |
Level: | Masters |
Abstract: | This Thesis is basically a study of English code mixing in Deuda songs. It aims to analyze the use of English code in Deuda songs. The main objectives of this study are to find out English code mixing in Deuda songs and to analyze English code mixing in terms of major word class, frequency of occurrences of words and context in which code mixing takes place. The primary sources of this study were 50 listeners, singers and songwriters of Deuda songs and the secondary sources of this study were twenty five Deuda songs having English code mixing.The researcher used judgmental/purposive random sampling procedure for collection data. The finding of this work shows that there is a large amount of English code mixing in Deuda songs. Maximum nouns and verbs are mixed in Deuda songs followed by adjectives and adverbs. Regarding contexts, English code mixing in Deuda songs was found in urban context than rural. The study consists of four chapters as follows:Chapter one deals with the general background, review of related literature, objectives of the study, significance of the study and the definition of specific terms. Chapter Two deals with the methodology for the study. It includes sources data, population of the study, tools for data collection. Chapter Three deals with the analysis and interpretation of data.The data was analyzed and interrelated using simple statistical tools like frequency and percentage. Chapter Four consists of findings and recommendation of the research. |
URI: | https://elibrary.tucl.edu.np/handle/123456789/12889 |
Appears in Collections: | English Language Education |
Files in This Item:
File | Description | Size | Format | |
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All Thesis.pdf | 250.32 kB | Adobe PDF | View/Open |
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