The concepts behind n-grams have been used at large scales recently as a precursor to large language models due to the recent AI-fueled boom. Used in a smaller scale model however, n-grams are useful for pattern recognition and repetition.

What happens when half of a document is deleted and replaced with algorithmically generated words based on historical data? Are the results useful, or just funny? To quote one of my favorite professors, "It depends."