N-Gram Sequence Models

The ngram.py module implements n-gram models with different smoothing techniques:

• Maximum likelihood (no smoothing)
• Additive smoothing (incl. Laplace smoothing, expected likelihood estimation, etc.)
• Simple Good-Turing smoothing (Gale, 1995)

Plots

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