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The standard algorithm for Levenshtein distance, treats trailing whitespacethe same as any other letter or symbol. However, when humans compare 2 strings,we implicitly assume that both strings are padded by infinite trailingwhitespace. This informs our expectations for what the costs for insertion,deletion and replacement, should be. This violation of our expectations resultsin non-intuitive edit distance values. To account for this specific humanintuition, a naive approach which considers "all possible" substrings oftrailing whitespace would yield an $O(n^3)$ algorithm. In this work, we providean efficient $O(n^2)$ algorithm to compute the same. Keywords: ImaginedInfinite Trailing Whitespace, Human Friendly, Intuitive Edit Distance, TableDetection, Table Alignment

Imagined-Trailing-Whitespace-Agnostic Levenshtein Distance For Plaintext Table Detection