A COMPARATIVE ANALYSIS OF GOOGLE TRANSLATE AND HUMAN TRANSLATION IN TRANSLATING ENGLISH SHORT STORY INTO INDONESIA

Dwi Andini, Elisa (2025) A COMPARATIVE ANALYSIS OF GOOGLE TRANSLATE AND HUMAN TRANSLATION IN TRANSLATING ENGLISH SHORT STORY INTO INDONESIA. S1 thesis, Universitas Jambi.

[img] Text
ABSTRACT.pdf
Download (325kB)
[img] Text
BAB I.pdf
Download (370kB)
[img] Text
BAB 5.pdf
Download (338kB)
[img] Text
COVER.pdf
Download (666kB)
[img] Text
DAFTAR PUSTAKA.pdf
Download (480kB)
[img] Text
Elisa_Dwi_Andini ( A1B220064) THESIS.pdf
Restricted to Repository staff only
Download (1MB)
[img] Text
LOA20250311_10595198.pdf
Download (484kB)

Abstract

This study aims to analyze the translation of short stories from English to Indonesian using Google Translate and human translation comparatively. The research method used is qualitative, with a descriptive approach to identify differences in translation quality from both sources. The data analyzed includes aspects of meaning conformity, language fluency, and the application of linguistic rules. Based on the results of the study, it was found that the translations produced by human translators have a higher level of accuracy than Google Translate. The human translations showed a better understanding of the context, the use of appropriate vocabulary, and the appropriateness of the language style to the characters of the short stories, while Google Translate tended to produce literal translations. The conclusion of this study emphasizes the importance of human involvement in the translation process, especially for texts that require interpretation of cultural context and emotions.

Type: Thesis (S1)
Uncontrolled Keywords: Literary translation, Google Translate, Machine Translation, human translation, translation quality
Subjects: L Education > L Education (General)
Divisions: Fakultas Keguruan dan Ilmu Pendidikan > Pendidikan Bahasa Inggris
Depositing User: ANDINI
Date Deposited: 11 Mar 2025 07:50
Last Modified: 11 Mar 2025 07:50
URI: https://repository.unja.ac.id/id/eprint/76106

Actions (login required)

View Item View Item
Repository Unja is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.