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Since the transformer lexicon is so big, sometimes exact matches are still nonsensical predictions in context, particularly for short words. Sometimes this happens when the words aren't even exact mat…
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# Back To Back SWE
The solution uses bottom-up DP approach to solving the question. The solution provided now uses Top-Down Memoized approach.
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## Use case
Approximative search leveraging Levenshtein distance between words
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DreamBerd has the wonderful `var var` syntax. This has a Levenshtein distance of just 2 to "Jar Jar" Binks, a clumsy character in Star Wars.
**Proposal**
Introduce the new `jar jar` syntax for var…
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Hi, amazing paper and thanks for the work you have done.
I am trying to implement Levenshtein Distance, but been totally unsuccessful. I cannot find `IndexAssign2D` mentioned in the paper. I tried…
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Write a function that takes in two strings and returns the minimum number of edit operations that need to be performed on the first string to obtain the second string.
There are three edit operatio…
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In order to implement LD, There are two main ways, listed below
- run an LD test on every entry of the array of strings that gets passed to SQL once a file is parsed. This would correct any misspe…
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Is the Damerau-Levenshtein distance also implemented, i.e. we also allow transposition of 2 adjacent characters? https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance
Thank you in adva…
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Another baseline that could be considered is a normalized levenshtein edit distance: 1 - (edit distance / len(longest string)
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Hello,
I wanted to know if the library has support to provide custom edit penalties. For example, specify edit distance for replacement "1" -> "l" to be different from "1" -> "A", etc.
Alberto.