Translation Methods of Women's Language Features Used by the Main Character in the Mini-Series Self Made: Inspired by the Life of Madam C.J. Walker (2020)

Gracio Fransisco Petrus, (NIM. 5032111058) (2025) Translation Methods of Women's Language Features Used by the Main Character in the Mini-Series Self Made: Inspired by the Life of Madam C.J. Walker (2020). Other thesis, Universitas Bangka Belitung.

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Abstract

This study aims to analyze the female language features found in utterances of the main character in the mini-series Self Made using Robin Lakoff's theory. In addition, this study finds out how the women’s language features are translated from English to Indonesian by using Peter Newmark's translation method theory. This study applies qualitative descriptive research methods. The descriptive method in qualitative research is used as an analytical approach and the researcher stays close to the data. The data used are utterances made by the main character in the mini-series Self Made. This study presents seven steps for Data Collection: (1) Watching mini-series through Netflix digital platform by using a paid account (2) Focusing on the main character Sarah. (3) Focusing on scenes with the English to Indonesian subtitle (4) Recording Sarah's utterances that contain women's language features by using English subtitles. (5) Recording the Indonesian subtitles. (6) Coding the data to sort the data and giving badges or stamps. (7) Finalizing the data ready for analysis. This study also presents seven steps for Data Analysis: (1) Organize and prepare data. (2) Reading through all the data. (3) Identifying Themes. (4) Developing a storyline interpretation. (5) Adding an analytic framework. (6) Representing and interpreting data. (7) Conclusion. As a result, this study found nine out of ten features spoken by the main character. There are 121 data that show the utterances of women’s language features by the main character. The features consist of 43 data of Lexical Hedges or Fillers, 4 data of Tag Question, 24 data of Rising Intonation, 15 data of Empty Adjective, 13 data of Intensifier, 1 data of Hypercorrect Grammar, 13 data of Superpolite Form, 2 data of Avoidance of Strong Swear Words, and 6 data of Emphatic Stress. Lexical Hedges or Fillers are the most frequently used features and Hypercorrect Grammar is the least used feature. Based on the findings, it was also found that the main character uses women’s language features to show doubt, soften her speech, and to get a response. Furthermore, this study found six methods used in translating the main character's utterances containing women’s language features. These methods are 1 data of Word-by-Word Translation, 2 data of Literal Translation, 51 data of Faithful Translation, 2 data of Semantic Translation, 36 data of Free Translation, and 5 data of Communicative Translation. The use of this method also shows that there are variations in the women’s language features translated into Indonesian and this is due to the decision-making made by the translator in the translation process. Furthermore, it was found that the rising intonation feature could not be translated.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	women’s language features, language and gender, translation methods
Subjects:	P Bahasa dan Sastra > P Philology. Linguistics P Bahasa dan Sastra > PE English
Divisions:	FAKULTAS ILMU SOSIAL DAN POLITIK > SASTRA INGGRIS > SKRIPSI
Depositing User:	Mrs Suci Rhomana Sari
Date Deposited:	20 Aug 2025 06:45
Last Modified:	20 Aug 2025 06:45
URI:	https://repository.ubb.ac.id/id/eprint/11800

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