Why does an ambiguous sentence parsed by a statistical machine translation system sometimes yield a semantically incoherent translation?

💡 Explanation

Machine translation relies on statistical models, and when a sentence has multiple semantic interpretations, the context vector selection process chooses the incorrect word sense, leading to incoherence because it selects the most probable rather than the most appropriate interpretation. The system lacks semantic understanding, therefore it cannot resolve ambiguities.

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