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August 22, 2025International journal of education and social development.0 citationsOpen Access

A Comparative Analysis of Translation Quality in Scientific and Technical Texts from the Perspective of Eco-Translatology

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HLH. Liao

Key Points

  • Deep Seek excels in terminology accuracy but lacks in cultural adaptability and logical coherence compared to human translation.
  • Findings show that while Deep Seek enhances accuracy in translations, it fails to address culturally-loaded terms effectively.
  • The research employs a comparative analysis of translations from The Economist focusing on technical and scientific content.
  • This analysis highlights the importance of understanding translation quality in the AI era, suggesting potential career pathways for language learners.

Abstract

Based on the Three-Dimensional Transformation Theory (linguistic dimension, cultural dimension, and communicative dimension) of Eco-Translatology, this study conducts a comparative analysis of the quality differences between Deep Seek and human translations of scientific and technical texts. The research selects several scientific and technical articles from The Economist as objects of study and compares the two translation versions in terms of terminology accuracy, fluency, and cultural adaptability. The results indicate that Deep Seek demonstrates advantages in terminology accuracy and standardized text processing, but still falls short of human translation in handling cultural-loaded words and maintaining logical coherence. Furthermore, the study explores potential career pathways for foreign language learners in the AI era, providing valuable insights and suggestions for their professional development.

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Cite This Study

H. Liao (2025) studied this question.

synapsesocial.com/papers/68af5231ad7bf08b1eada609https://doi.org/10.54097/bzb27z81
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