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Some smoothing techniques used in NLP and ML, including Laplacian and Lidstone Smoothing, Absolute Discounting, Backoff, Kneser-Ney and Interpolation.

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Smoothing techniques commonly used in NLP

In this notebook, I will introduce several smoothing techniques commonly used in NLP or machine learning algorithms. They are:

  • Laplacian (add-one) Smoothing
  • Lidstone (add-k) Smoothing
  • Absolute Discounting
  • Katz Backoff
  • Kneser-Ney Smoothing
  • Interpolation

For more detail, please move to the ipython notebook

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Some smoothing techniques used in NLP and ML, including Laplacian and Lidstone Smoothing, Absolute Discounting, Backoff, Kneser-Ney and Interpolation.

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