Why does predicting word frequency become unreliable when analyzing code-switched texts?

💡 Explanation

Word frequency prediction fails in code-switched texts because the linguistic context dynamically changes, disrupting the expected power-law distribution described by Zipf's Law. Therefore, statistical models trained on monolingual corpora become inaccurate, rather than accurately reflecting actual usage patterns across languages.

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