If a statistical machine translation system outputs grammatically correct but semantically nonsensical sentences, which consequence follows?

💡 Explanation

The attention mechanism aligns input and output words; therefore, if the output is nonsensical despite being grammatical, the attention mechanism likely failed to capture relevant contextual relationships. This is because beam search and BLEU score relate to fluency rather than semantic accuracy; gradient vanishing would impact training, rather than immediate output.

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