An engineer analyzing a multilingual text corpus notices skewed word frequency distributions. Which mechanism best explains this variation, assuming consistent document sizes?

💡 Explanation

Zipf's law describes a power-law relationship between word frequency and rank, predicting skewed distributions, because each language's features interact differently with this statistical principle. Therefore, Zipf's Law explains the skewed distribution, rather than uniform distribution from Universal Grammar, random lexical diffusion, or priming effects.

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