Why does a neural machine translation system degrade in accuracy when processing sentences substantially longer than those in the training corpus?

💡 Explanation

The n-gram context within the training corpus defines the expected relationships; therefore, a distributional shift occurs when the system processes sentences significantly longer than those it was trained on, leading to a decrease in accuracy because the system extrapolates beyond its learned n-gram patterns, rather than due to overfitting or gradient issues.

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