Why does deciphering Linear B script benefit from probabilistic models based on known alphabet structures, rather than relying solely on frequency analysis?

💡 Explanation

Probabilistic models, using alphabet structure as a prior, enable determining statistical significance with greater confidence because they incorporate existing knowledge about likely letter sequences. Solely relying on frequency analysis may lead to spurious correlations; therefore, leveraging alphabet structure improves accuracy rather than leading to the alternative outcomes.

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