
How to give AI translation tools more context: A developer's guide to deterministic l10n
You run a clean, well-structured string file through AI translation. The output is linguistically correct, but completely wrong for the UI. This is the context deficit problem. Without structured input about what a string is and where it lives, models default to general-purpose language patterns. The output looks coherent on its own, but breaks when placed in the interface. Most dev teams try to fix this problem by switching models or adjusting prompts. The translation









