Translations create semantic drift because words rarely carry identical meanings across different languages and cultures. A translator may successfully convert grammar and vocabulary while still losing emotional nuance, cultural references, historical associations, or contextual depth. Over time, repeated translations amplify these small differences until the original meaning gradually shifts. Some concepts simply do not exist in other languages, forcing translators to approximate rather than replicate meaning exactly.
- Idioms, humor, symbolism, and emotional tone are especially vulnerable to distortion. Semantic drift also occurs because languages evolve independently; words change meanings through social use, technological changes, and cultural reinterpretation. Artificial intelligence systems can unintentionally amplify this problem by prioritizing statistical probability over conceptual precision.
Marsji was partly inspired by the desire to reduce this drift by anchoring concepts to stable semantic cores before translation occurs. The idea is that if meaning can be represented more consistently at a conceptual level, translations between languages may preserve intent and structure more accurately over time.