Why does neural machine translation sometimes generate fluent but inaccurate translations?

💡 Explanation

Neural machine translation can produce fluent, yet incorrect, translations because the attention mechanism, although designed to focus on relevant input words, may latch onto syntactically related but semantically irrelevant words. Therefore, the model generates grammatically correct but meaninglessly altered output, rather than producing a disfluent but accurate translation arising from different error sources.

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