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https://issues.apache.org/jira/browse/LUCENE-4947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13640499#comment-13640499
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Steve Rowe commented on LUCENE-4947:
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bq. I assumed you guys would simply grab the tarballs from the GitHub links I
posted.
Okay, cool, I think that will work.
Do you intend for these two projects to live on after they've been incorporated
into Lucene? If so, then I'll fork them on Github and start making license
header changes -> ALv2; Kevin, do you give your consent for me to change the
license headers in all files to point to ALv2?
If you don't intend for these two projects to continue life separately from
Lucene, then I think it will make sense for you to do the license changes
in-place yourself, Kevin. Alternatively, you could grant write access to
someone else to do the work. Please let us know.
I have started the IP clearance form. It's online now at
[http://incubator.apache.org/ip-clearance/lucene-levenshtein-automaton-mdag.html].
> Java implementation (and improvement) of Levenshtein & associated lexicon
> automata
> ----------------------------------------------------------------------------------
>
> Key: LUCENE-4947
> URL: https://issues.apache.org/jira/browse/LUCENE-4947
> Project: Lucene - Core
> Issue Type: Improvement
> Affects Versions: 4.0-ALPHA, 4.0-BETA, 4.0, 4.1, 4.2, 4.2.1
> Reporter: Kevin Lawson
>
> I was encouraged by Mike McCandless to open an issue concerning this after I
> contacted him privately about it. Thanks Mike!
> I'd like to submit my Java implementation of the Levenshtein Automaton as a
> homogenous replacement for the current heterogenous, multi-component
> implementation in Lucene.
> Benefits of upgrading include
> - Reduced code complexity
> - Better performance from components that were previously implemented in
> Python
> - Support for on-the-fly dictionary-automaton manipulation (if you wish to
> use my dictionary-automaton implementation)
> The code for all the components is well structured, easy to follow, and
> extensively commented. It has also been fully tested for correct
> functionality and performance.
> The levenshtein automaton implementation (along with the required MDAG
> reference) can be found in my LevenshteinAutomaton Java library here:
> https://github.com/klawson88/LevenshteinAutomaton.
> The minimalistic directed acyclic graph (MDAG) which the automaton code uses
> to store and step through word sets can be found here:
> https://github.com/klawson88/MDAG
> *Transpositions aren't currently implemented. I hope the comment filled,
> editing-friendly code combined with the fact that the section in the Mihov
> paper detailing transpositions is only 2 pages makes adding the functionality
> trivial.
> *As a result of support for on-the-fly manipulation, the MDAG
> (dictionary-automaton) creation process incurs a slight speed penalty. In
> order to have the best of both worlds, i'd recommend the addition of a
> constructor which only takes sorted input. The complete, easy to follow
> pseudo-code for the simple procedure can be found in the first article I
> linked under the references section in the MDAG repository)
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