Why does machine translation of legal contracts often fail to produce a coherent target text, even if each sentence is individually translated accurately?

A)Word embeddings are context-independent.

B)Statistical models lack world knowledge.

C)Discourse relations are poorly transferred.✓

D)Attention mechanisms are computationally expensive.

💡 Explanation

Machine translation struggles with coherence because discourse relations (e.g., cause-effect, contrast) between sentences are often implicit and depend on legal context, and those discourse relations are poorly transferred. Therefore, the resulting text lacks overall coherence rather than showing errors in sentence-level translation, word knowledge or computational load.

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Why does machine translation of legal contracts often fail to produce a coherent target text, even if each sentence is individually translated accurately?

💡 Explanation

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