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Language & Communication

Why does statistical significance from a linguistic corpus sometimes fail to generalize to real-world language use?

A)Corpus size ensures complete language
B)Annotation artifacts inherently cause skew
C)Corpus representativeness does not equal reality
D)Tagging universally reflects speaker intent

💡 Explanation

Corpus representativeness might not reflect actual language use because the sampling frame introduces bias. Therefore, statistical significance within the corpus does not guarantee the same distribution exists in the broader language environment, rather than reflecting universal grammar or user intent.

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