<![CDATA[The advancement of Artificial Intelligence (AI) tools like ChatGPT and DeepL has significantly impacted the field of translation, especially in educational and language technology contexts. While both tools are known for producing relatively accurate translations, concerns remain regarding their quality and precision—particularly in journalistic texts, which often contain cultural nuances, idiomatic expressions, and distinctive stylistic features. This study aims to evaluate and compare the translation quality of ChatGPT and DeepL when translating Indonesian journalistic texts into English. Using a qualitative research method with a comparative analysis approach, three articles from Tempo.co were selected and translated using both AI tools. The translations were assessed using the Translation Quality Assessment (TQA) rubric by Nababan dkk., focusing on three aspects: accuracy, acceptability, and readability. The analysis identifies each tool’s strengths and weaknesses and its ability to convey meaning, cultural context, and style. The study’s findings are expected to offer an objective view of the effectiveness of AI-powered translation tools, providing practical insights for language practitioners, educators, and translators in critically selecting and using AI in translation tasks.]]>
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