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Navigating the Future of Translation: A Descriptive Qualitative Comparison of DeepL and Google Translate in Translating High School Social Texts

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Descriptive qualitative study assesses translation performance of DeepL and Google Translate, highlighting implications for education.

DeepL outperforms Google Translate in fluency and contextual sensitivity in translating social texts.
Translation accuracy, fluency, and contextual appropriateness were evaluated by human assessors across five texts.
This analysis uses theoretical frameworks on neural machine translation, framing its educational relevance.
The findings suggest both tools have unique strengths, offering critical insights for educators and learners.

Asrul et al. (2025) studied this question.

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