Why does a statistical parser, trained on a limited corpus of medical texts, perform poorly on general English text?

💡 Explanation

A statistical parser's performance degrades due to domain mismatch because the model learns probability distributions specific to medical texts. Therefore, the parsing accuracy diminishes on general English text, rather than overfitting or lexical overlap which are secondary concerns.

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