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BLAZE Jurnal Bahasa dan Sastra dalam Pendidikan Linguistik dan Pengembangan
Article . 2025 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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Google Translate dan Penerjemahan: Penggunaan Google Translate pada Penerjemahan Teks Bahasa Arab

Authors: null Dillah Nur Syafanah; null Indah Permatasari; null Muhammad Rivyal;

Google Translate dan Penerjemahan: Penggunaan Google Translate pada Penerjemahan Teks Bahasa Arab

Abstract

This study aims to analyze the use of Google Translate in translating Arabic text into Indonesian. The aim is to examine translation accuracy, precision, and the relationship between translation and meaning. A descriptive qualitative method was used to explore the phenomenon in its specific context. Data were taken from classical and modern Arabic texts. The findings show that although Google Translate has seen improvements, it still faces some challenges. These include word-for-word translation, lack of understanding of cultural context, and gender terminology issues. While Google Translate can be a useful tool, it cannot completely replace human translators, especially in translating adverbs and complex grammatical structures. This research emphasizes the importance of translation quality and the role of digital tools in translation. By learning to use these tools effectively, users can improve their translation skills and enhance their ability to communicate across languages. Thus, while machine translation offers convenience and speed, human insight remains essential to achieve nuance, clarity and contextually appropriate meaning in Arabic-Indonesian translation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid