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Language & Communication

Why does machine translation sometimes produce incorrect semantic interpretations for sentences with polysemous words?

A)Statistical models ignore word order
B)Inadequate context-sensitive disambiguation occurs
C)Training data lacks parallel structures
D)Algorithms favor literal string matching

💡 Explanation

Machine translation fails to capture the correct meaning because inadequate context-sensitive disambiguation occurs; the system struggles to determine the intended sense of the word based on surrounding words. Therefore, the translation is incorrect, rather than word order, training data, or string matching causing the error directly.

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