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https://issues.apache.org/jira/browse/LUCENE-4947?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kevin Lawson updated LUCENE-4947:
---------------------------------

    Description: 
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.- Update introduces transposition inclusion in edit distance 
calculations!

*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)


  was:
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)


    
> 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
>         Attachments: LevenshteinAutomaton-master.zip, MDAG-master.zip
>
>
> 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.- Update introduces transposition inclusion in edit distance 
> calculations!
> *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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