Why does predictive text entry degrade when a writer frequently switches between languages with differing orthographies?

💡 Explanation

Predictive text fails because cross-lingual interference increases model entropy; frequent switching introduces conflicting statistical patterns. Therefore, the model's uncertainty grows, and prediction accuracy degrades, rather than attention overload or vector collapse which are less direct consequences of orthographic variation.

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