Why does a machine translation system struggle to maintain discourse coherence when translating long, complex legal documents?

💡 Explanation

The system struggles because long-range contextual dependencies demand a high level of attention to maintain coherence, and current models often fail to capture these nuances fully using local context alone. Therefore, meaning gets lost or distorted, rather than alternative issues being the primary cause of the incoherence problem.

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