EL TSAQAFAH
Vol. 24 No. 1 (2025): April 2025

ANALISIS KEAKURATAN HASIL TERJEMAHAN CHATGPT MENGGUNAKAN TEKNIK BACK TRANSLATION

Salsabila Arju (Universitas Islam Negeri Sunan Kalijaga Yogyakarta)
Muhammad Fadhil Husein (Universitas Islam Negeri Sunan Kalijaga Yogyakarta)
Badriyyah Sa’adah (Universitas Islam Negeri Sunan Kalijaga Yogyakarta)
Annisa Mah Rejeki (Universitas Islam Negeri Sunan Kalijaga Yogyakarta)



Article Info

Publish Date
08 Apr 2025

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.

Copyrights © 2025






Journal Info

Abbrev

eltsaqafah

Publisher

Subject

Education Languange, Linguistic, Communication & Media Other

Description

El-Tsaqafah : Jurnal Jurusan PBA welcomes high-quality manuscripts resulted from a research project in the scope of Arabic language learning, linguistic, and education, which includes, but is not limited to the following topics: Arabic Language Learning: 1. The journal receives the results of ...