text-metrics: Calculate various string metrics efficiently

[ algorithms, bsd3, library, text ] [ Propose Tags ]

Calculate various string metrics efficiently.

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Versions [RSS] 0.1.0, 0.2.0, 0.3.0, 0.3.1, 0.3.2
Change log CHANGELOG.md
Dependencies base (>=4.7 && <5.0), containers (>=0.5 && <0.7), text (>=0.2 && <1.3), vector (>=0.11 && <0.13) [details]
License BSD-3-Clause
Author Mark Karpov <markkarpov92@gmail.com>
Maintainer Mark Karpov <markkarpov92@gmail.com>
Revised Revision 4 made by mrkkrp at 2018-09-23T15:08:28Z
Category Text, Algorithms
Home page https://github.com/mrkkrp/text-metrics
Bug tracker https://github.com/mrkkrp/text-metrics/issues
Source repo head: git clone https://github.com/mrkkrp/text-metrics.git
Uploaded by mrkkrp at 2017-06-13T10:07:24Z
Distributions Arch:0.3.2, Debian:0.3.0, Fedora:0.3.2, LTSHaskell:0.3.2, NixOS:0.3.2, Stackage:0.3.2
Reverse Dependencies 12 direct, 16 indirect [details]
Downloads 16857 total (131 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by Bayesian average]
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Status Docs available [build log]
Last success reported on 2017-06-13 [all 1 reports]

Readme for text-metrics-0.3.0

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Text Metrics

License BSD3 Hackage Stackage Nightly Stackage LTS Build Status Coverage Status

The library provides efficient implementations of various strings metric algorithms. It works with strict Text values.

The current version of the package implements:

Comparison with the edit-distance package

There is edit-distance package whose scope overlaps with the scope of this package. The differences are:

  • edit-distance allows to specify costs for every operation when calculating Levenshtein distance (insertion, deletion, substitution, and transposition). This is rarely needed though in real-world applications, IMO.

  • edit-distance only provides Levenshtein distance, text-metrics aims to provide implementations of most string metrics algorithms.

  • edit-distance works on Strings, while text-metrics works on strict Text values.


Although we originally used C for speed, currently all functions are pure Haskell tuned for performance. See this blog post for more info.


Copyright © 2016–2017 Mark Karpov

Distributed under BSD 3 clause license.