ANALISIS KEAKURATAN HASIL TERJEMAHAN CHATGPT MENGGUNAKAN TEKNIK BACK TRANSLATION

In the world of translation, language translators often experience several challenges in the translation process. These can be found in differences in sound, writing, grammar, and local culture and values of a language. As time progresses and with the emergence of new technology based on artificial intelligence, translators or individuals involved in foreign languages are increasingly assisted in their translation tasks. This study aims to analyze the extent of accuracy in using ChatGPT for translating Arabic texts into Indonesian. It is a qualitative-descriptive research. The data collection method involves using literacy study methodology. The research findings indicate that ChatGPT can accurately translate Arabic into Indonesian without any grammatical errors or semantic inaccuracies. There are only a few differences observed in word choice, which are deemed to be shorter, concise, and more efficient in translation than Google Translate.

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Publication Details

Journal
El-Tsaqafah Jurnal Jurusan PBA
Published
2025-04-08
DOI
https://doi.org/10.20414/tsaqafah.v24i1.10604
Citations
1
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
2.48
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article

ANALISIS KEAKURATAN HASIL TERJEMAHAN CHATGPT MENGGUNAKAN TEKNIK BACK TRANSLATION

Salsabila Arju, Muhammad Fadhil Husein, Badriyyah Sa’adah, Annisa Mah Rejeki
1 citations
El-Tsaqafah Jurnal Jurusan PBA
Computer Science and Engineering
2.48
article

ANALISIS KEAKURATAN HASIL TERJEMAHAN CHATGPT MENGGUNAKAN TEKNIK BACK TRANSLATION

Salsabila Arju, Muhammad Fadhil Husein, Badriyyah Sa’adah, Annisa Mah Rejeki
article en
1 citations

Abstract

In the world of translation, language translators often experience several challenges in the translation process. These can be found in differences in sound, writing, grammar, and local culture and values of a language. As time progresses and with the emergence of new technology based on artificial intelligence, translators or individuals involved in foreign languages are increasingly assisted in their translation tasks. This study aims to analyze the extent of accuracy in using ChatGPT for translating Arabic texts into Indonesian. It is a qualitative-descriptive research. The data collection method involves using literacy study methodology. The research findings indicate that ChatGPT can accurately translate Arabic into Indonesian without any grammatical errors or semantic inaccuracies. There are only a few differences observed in word choice, which are deemed to be shorter, concise, and more efficient in translation than Google Translate.

El-Tsaqafah Jurnal Jurusan PBAVol. 24(1)
Sunan Kalijaga State Islamic University Yogyakarta (ID)
Openalex Percentile: Top 11%
Computer Science and Engineering
2.48
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