Lubis, Risky Aulia Lestari (2022) AN ANALYSIS OF CODE MIXING USED IN DOMANI SIBLINGS YOUTUBE CHANNEL. Undergraduate thesis, UNIMED.
1. NIM. 2161220028 COVER.pdf
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2. NIM 2161220028 APPROVAL SHEET.pdf
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3. NIM. 2161220028 ABSTRACT.pdf
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4. NIM. 2161220028 PREFACE.pdf
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5. NIM. 2161220028 TABLE OF CONTENT.pdf
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6. NIM. 2161220028 LIST OF TABLE.pdf
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7. NIM. 2161220028 LIST OF FIGURE.pdf
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8. NIM. 2161220028 APPENDICES.pdf
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9. NIM. 2161220028 CHAPTER I.pdf
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13. NIM. 2161220028 CHAPTER V.pdf
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14. NIM. 2161220028 BIBLIOGRAPHY.pdf
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Abstract
The study dealed with the code mixing in Domani Siblings Youtube Channel. The objectives of the study were to find out 1) The types of code mixing In Domani Siblings Youtube Channel 2) The realizations Code Mixing In Domani Siblings Youtube Channel. 3) The reasons author conveys Code Mixing In Domani Siblings Youtube Channel. This study was conducted by using descriptive qualitative method. The data were collected from video youtube channel by Domanis Siblings about tutorial makeup. The sources of data were downloading 2 videos from youtube channel by Domani Siblings. The findings showed that 1) There were four types of code mixing namely, 22 (46,80%) data of word insertion , 12 (25,53%) data of phrase insertion, 5 (10.63%) data of hybrid insertion , and 8 (17,02%) of clause insertion. 2) Code Mixing were realized verbally. 3) There were some reasons code mixing realize in domani siblings youtube channel . first , talking about particular topic and the the second being emphatic about something. There are 40% about talking particular topic and 60% being emphatic
Item Type: | Thesis (Undergraduate) |
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Keywords: | Code Mixing; Suwito theory; Domani Siblings Youtube Channel |
Subjects: | P Language and Literature > P Philology. Linguistics P Language and Literature > P Philology. Linguistics > P98 Computational linguistics. Natural language processing |
Divisions: | Fakultas Bahasa dan Seni > Sastra Inggris |
Depositing User: | Mrs Yuni Chairani |
Date Deposited: | 20 May 2024 02:51 |
Last Modified: | 20 May 2024 02:51 |
URI: | https://digilib.unimed.ac.id/id/eprint/57081 |