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Open access Sep 2026

Concept-aware contrastive representation learning for cross-translation semantic consistency modeling of the Analects

Findings support the framework as a computational aid for cross-translation comparison and for identifying translation pairs that may warrant closer expert examination, rather than as a general-purpose method for automatic translation-quality assessment.

Tang He, Peng Dai, Rong Wang et al. · 0 citations

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