neardelta
neardelta is a term used in computational linguistics and natural language processing to describe a measure of similarity or dissimilarity between two strings, particularly in the context of near-duplicate detection. It quantifies how close two strings are to each other, considering insertions, deletions, and substitutions of characters. This concept is closely related to edit distance, such as the Levenshtein distance, but often refers to algorithms or specific implementations designed for efficiency in large-scale comparisons.
The primary application of neardelta is identifying documents or text snippets that are very similar but not
Algorithms designed to compute neardelta often employ techniques like n-gram comparisons or other string matching strategies