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I am wondering if there is a good example out there that compares N-Gram with various smoothing techniques.

I found this notebook that applies Laplace transform but that is about it. Any suggestions are greatly appreciated.

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There have been many papers on this topic, but you probably should search with the term language modeling (the name of the main application for smoothing n-grams frequencies).

Apparently there's a recent paper, but otherwise you'll most likely find papers from 20 years ago, as this used to be an important question for statistical machine translation (it isn't anymore with neural MT, afaik).

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