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The program implements a basic text generator using Markov Chains. It tokenizes input text, builds K-sequence features, and encodes transitions into a stochastic matrix. Using a sliding window (K), it predicts the next word based on context. It demonstrates foundational concepts in stochastic modeling and sequence prediction.

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