Why does a statistical parser's accuracy degrade when processing medical text that differs significantly from its training data?

💡 Explanation

Accuracy decreases because domain adaptation, which involves retraining or fine-tuning on the new domain, becomes computationally expensive and therefore might not be performed adequately. Rather than benefiting from consistent syntactic bracketing or lexical normalization, the parser struggles with unseen patterns; probabilistic grammars do not generalize perfectly.

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