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Language & Communication

Why does real-time machine translation of legal discourse often misinterpret formulaic phrases?

A)Absence of parallel corpus data
B)Over-reliance on word-for-word substitutions
C)Lack of holistic semantic interpretation
D)Inadequate handling of named entity recognition

💡 Explanation

Machine translation struggles with formulaic language because it often fails to capture the holistic semantic interpretation of the whole phrase, rather than its individual words. Legal language relies heavily on set phrases, therefore the system must consider entire formulaic expressions, rather than just individual word mappings, for accurate translation.

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