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4 cards from this section. Quick, good the night before a test.
What is edit distance?
Think about the actions you can perform on a string.
Why is document similarity important?
Consider how similar documents might affect search engine results.
What does edit distance quantify?
Focus on what operations are counted for distance.
True or False: Similarity measurement is only useful for detecting plagiarism.
Consider other applications beyond plagiarism.
Given the words 'intention' and 'execution', how many edits are required to convert one to the other using the edit distance metric? Show your workings.
Write out both words; identify one letter that matches at a time and count changes.
Create a small program that computes the edit distance between any two input strings and explains its logic step by step.
Start with a 2D array to represent your base cases and then fill in values using previous computations.
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