Table of Contents

## How do you calculate minimum edit distance?

Minimum Edit distance between two strings str1 and str2 is defined as the minimum number of insert/delete/substitute operations required to transform str1 into str2. For example if str1 = “ab”, str2 = “abc” then making an insert operation of character ‘c’ on str1 transforms str1 into str2.

**What is the maximum edit distance?**

The maximum edit distance between any two strings (even two identical ones) is infinity, unless you add some kind of restrictions on repetitions of edits. Even then you can create an arbitrarily large edit distance, with any arbitrarily large set character set.

**What is minimum edit distance in NLP?**

• If each operation has cost of 1. • Distance between these is 5. • If substitutions cost 2 (Levenshtein) • Distance between them is 8.

### What is the minimum edit distance between intention and execution?

5

Minimum edit distance between two strings – the minimum number of editing operations (insertion, deletion, substitution) needed to transform one string into another. Distance from [intention] to [execution] is 5. Optimal (minimum loss) conversion path: Optimzal path is found with dynamic programming.

**In which of the following cases will the edit distance between two strings be zero?**

In which of the following cases will the edit distance between two strings be zero? Explanation: The edit distance will be zero only when the two strings are equal.

**What is the edit distance between strings?**

In computational linguistics and computer science, edit distance is a way of quantifying how dissimilar two strings (e.g., words) are to one another by counting the minimum number of operations required to transform one string into the other.

## Which of the following cases the edit distance between two strings are zero?

**What is the algorithm to find the edit distance between two words?**

The Levenshtein Algorithm

The Levenshtein distance is a string metric for measuring difference between two sequences. Informally, the Levenshtein distance between two words is the minimum number of single-character edits (i.e. insertions, deletions or substitutions) required to change one word into the other.

**What is edit distance problem?**

The edit distance problem is the minimum number of insertions, deletions, or replacements required to convert one string to another. What is the time and space complexity of the dynamic programming approach? The time and space complexity of the dynamic programming approach is O(N * M)

### Which of the following method can be used to solve the edit distance problem?

Which of the following methods can be used to solve the edit distance problem? Question 1 Explanation: Both dynamic programming and recursion can be used to solve the edit distance problem.