# Summary: Edit Distance

Recap what we have learned in this section.

## We'll cover the following

## Recap

In this section, we first discussed edit distance and how it is an integral piece of natural language processing. From there we covered minimum edit distance, including the Wagner-Fisher algorithm, and implemented our own form of the Wagner-Fisher algorithm.

After these fundamentals, we learned about the NLTK edit distance libraries and how to utilize them, including Jaccard and Jaro-Winkler distance calculations, which are variations of edit distance.

We finished by learning about the Fuzzy natural language library and the various string-matching approaches including methods like token sort matching, set matching, and other various approaches.

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