If a computational linguist modifies a statistical parser to favor shorter dependency lengths, which consequence follows?

💡 Explanation

Statistical parsers use dependency length minimization to reflect the principle that words tend to be related to nearby words; when length is favored too heavily, longer sentences are parsed less accurately because the parser overemphasizes local dependencies. Therefore, accuracy on longer sentences decreases rather than overall accuracy improving because longer dependencies are penalized.

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