Towards Normalizing the Edit Distance Using a Genetic Algorithms Based Scheme

The normalized edit distance is one of the distances derived from the edit distance. It is useful in some applications because it takes into account the lengths of the two strings compared. The normalized edit distance is not defined in terms of edit operations but rather in terms of the edit path. In this paper we propose a new derivative of the edit distance that also takes into consideration the lengths of the two strings, but the new distance is related directly to the edit distance. The particularity of the new distance is that it uses the genetic algorithms to set the values of the parameters it uses. We conduct experiments to test the new distance and we obtain promising results.

READ FULL TEXT
research
04/10/2019

Constant-factor approximation of near-linear edit distance in near-linear time

We show that the edit distance between two strings of length n can be co...
research
02/09/2023

Locally consistent decomposition of strings with applications to edit distance sketching

In this paper we provide a new locally consistent decomposition of strin...
research
04/29/2019

Soft edit distance for differentiable comparison of symbolic sequences

Edit distance, also known as Levenshtein distance, is an essential way t...
research
03/15/2023

Matrices inducing generalized metric on sequences

Sequence comparison is a basic task to capture similarities and differen...
research
08/16/2020

Discovering Lexical Similarity Through Articulatory Feature-based Phonetic Edit Distance

Lexical Similarity (LS) between two languages uncovers many interesting ...
research
01/25/2018

An Integrated Soft Computing Approach to a Multi-biometric Security Model

The abstract of the thesis consists of three sections, videlicet, Moti...
research
06/30/2023

Efficient Parallel Output-Sensitive Edit Distance

Given two strings A[1..n] and B[1..m], and a set of operations allowed t...

Please sign up or login with your details

Forgot password? Click here to reset