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Semantic Chunking and the Entropy of Natural Language
Humans and large language models can predict next letter or word from its prior context much better than random guessing, indicating strong redundancy of language viewed as a stochastic process. Quantitatively this redundancy was estimated by Shannon to be around 80\%, which means that every letter
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