Practice Levenshtein Distance (5.3) - Edit Distance - Design & Analysis of Algorithms

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6 sample questions

Question 1.
What is edit distance?
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Think about what operations can be used.
Question 2.
List the three operations involved in calculating edit distance.
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Recall the acronym IDS.
3Question 3.
What does edit distance measure?
- The similarity of two text files
- The number of edits needed to transform one string into another
- The length of the longest common subsequence
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Consider the operations involved in changing one string to match another.
4Question 4.
True or False: The Levenshtein distance only includes insertion and deletion operations.
- True
- False
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Remember the three operations used in edit distance.
Question 5.
Calculate the edit distance between the words 'sunday' and 'saturday' using the algorithm discussed.
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Break down the changes step by step, comparing letters at each position.
Question 6.
Write a detailed explanation of how the Levenshtein distance can impact search engine optimization (SEO).
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Consider how common user errors affect the search results presented.

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