Comparative analysis reveals differences in translation quality among AI systems, suggesting the need for human oversight.
This study explores semantic adequacy in AI-based translations of popular science texts intended for young audiences. Translations produced by four systems are comparatively analyzed in terms of meaning accuracy, terminology, and completeness. The findings reveal differences in semantic performance and emphasize the importance of human supervision in ensuring reliable and precise translation.
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Madina Zokirjonova (2026) studied this question.
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