Question: Part 1 . n - Gram Language Models ( 3 0 points ) Create 1 - 5 - gram language models trained on the tiny

Part 1. n-Gram Language Models (30 points) Create 1-5-gram language models trained on the tiny shakespeare dataset. The relevant probabilities P(word|context) will be stored in Python dictionaries. Do not use any smoothing or back-off (until Question 4). Pay special attention to beginning and end of sequences in the modeling process.

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