Abstract: The edit distance (also known as Levenshtein distance) of two strings is the minimum number of insertions, deletions, and substitutions of characters needed to transform one string into the ...

1 College of Science, North China University of Science and Technology, Tangshan, China. 2 Hebei Provincial Key Laboratory of Data Science and Applications, North China University of Science and ...

Script for calculating the edit distance between two strings. We compare two approaches in terms of computational time: linear storage and quadratic storage. Python scripts used to calculate 3 basic ...

Python scripts used to calculate 3 basic similarity measures, suitable for ad hoc information retrieval systems: Levenshtein Edit Distance, Jaccard, and a Term-Document matrix. Script for calculating ...