Article

SEMANTIC ADEQUACY IN POPULAR SCIENCE TEXTS FOR YOUNG AUDIENCES: A COMPARATIVE ANALYSIS OF GOOGLE TRANSLATE, DEEPL, CHATGPT AND MANUS AI TRANSLATIONS

Madina ZokirjonovaNamangan State Institute of Foreign Languages named after Ishoqxon Ibrat

Zenodo (CERN European Organization for Nuclear Research)repository2026en

ABI

Abstract

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.

Topics

Translation Studies and Practices Discourse Analysis in Language Studies Language, Metaphor, and Cognition

Identifiers

DOI: 10.5281/zenodo.19694870

Citations and references

Cited by 00 references

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