edit-distance: Levenshtein and restricted Damerau-Levenshtein edit distances
Optimized edit distances for fuzzy matching, including Levenshtein and restricted Damerau-Levenshtein algorithms.
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| Versions | 0.1, 0.1.1, 0.1.2, 0.2.0, 0.2.1, 0.2.1.1, 0.2.1.2, 0.2.1.3, 0.2.2.1 |
|---|---|
| Dependencies | array (>=0.1), base (>=4.5 && <5), containers (>=0.1.0.1), random (>=1.0) [details] |
| License | BSD-3-Clause |
| Copyright | (c) 2008-2013 Maximilian Bolinbroke |
| Author | Max Bolingbroke <batterseapower@hotmail.com> |
| Maintainer | Oleg Grenrus <oleg.grenrus@iki.fi> |
| Revised | Revision 1 made by phadej at Wed Aug 10 15:33:44 UTC 2016 |
| Category | Algorithms |
| Home page | http://github.com/phadej/edit-distance |
| Source repo | head: git clone https://github.com/phadej/edit-distance.git |
| Uploaded | by phadej at Sun Jul 12 17:57:09 UTC 2015 |
| Distributions | Arch:0.2.2.1, Debian:0.2.2.1, Fedora:0.2.2.1, FreeBSD:0.2.2.1, LTSHaskell:0.2.2.1, NixOS:0.2.2.1, Stackage:0.2.2.1, openSUSE:0.2.2.1 |
| Downloads | 32460 total (202 in the last 30 days) |
| Rating | (no votes yet) [estimated by rule of succession] |
| Your Rating | |
| Status | Docs available [build log] Last success reported on 2015-07-12 [all 1 reports] Hackage Matrix CI |
Downloads
- edit-distance-0.2.2.1.tar.gz [browse] (Cabal source package)
- Package description (revised from the package)
Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.
Readme for edit-distance-0.2.2.1
[back to package description]Edit Distance Algorithms
Installing
To just install the library:
cabal configure
cabal build
cabal install
Description
Edit distances algorithms for fuzzy matching. Specifically, this library provides:
They have been fairly heavily optimized. Indeed, for situations where one of the strings is under 64 characters long we use a rather neat "bit vector" algorithm: see the authors paper and the associated errata for more information. The algorithms could be faster, but they aren't yet slow enough to force us into improving the situation.
Example
Text.EditDistance> levenshteinDistance defaultEditCosts "witch" "kitsch"
2