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https://issues.apache.org/jira/browse/OPENNLP-1886?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Richard Zowalla updated OPENNLP-1886:
-------------------------------------
    Fix Version/s: 3.0.0

> UniNE light and minimal stemmer tiers with vocabulary parity fixtures
> ---------------------------------------------------------------------
>
>                 Key: OPENNLP-1886
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-1886
>             Project: OpenNLP
>          Issue Type: New Feature
>          Components: Sentence Detector
>            Reporter: Kristian Rickert
>            Assignee: Kristian Rickert
>            Priority: Major
>             Fix For: 3.0.0
>
>
> STACKED on [#1163|https://github.com/apache/opennlp/pull/1163] 
> (stemmer-factory): this branch builds on that PR's StemmerFactory contract, 
> and since that head lives on a fork it cannot be this PR's base ref. Until 
> [#1163|https://github.com/apache/opennlp/pull/1163] merges, the diff here 
> shows its commits too; only the last commit 
> ([{{592380e}}|https://github.com/apache/opennlp/commit/592380e351ce0aa9d3f558ed10fbfecc95d85d99])
>  is this PR. After [#1163|https://github.com/apache/opennlp/pull/1163] lands, 
> the branch rebases onto main and the diff collapses to this change alone.
> Adds sixteen stemmers in a new opennlp.tools.stemmer.light package: light and 
> minimal tiers for German, French, Spanish, Norwegian (Bokmaal and Nynorsk 
> varieties), and Swedish, plus light stemmers for Finnish, Hungarian, Italian, 
> Portuguese, and Russian, and the English minimal stemmer. These fill the tier 
> between no stemming and the aggressive Snowball algorithms: they remove 
> plural and inflectional endings with far less conflation. Adapted from Apache 
> Lucene's analysis-common module; the UniNE algorithms carry Jacques Savoy's 
> BSD notice in each source file and in the distribution LICENSE.
> Every stemmer is stateless and thread-safe, implements Stemmer, and is its 
> own StemmerFactory. Input is expected lowercase, matching the algorithms' 
> original contract; null input fails loudly.
> Parity is asserted against the original implementations: bundled fixtures 
> sample the algorithms' vocabulary test data (up to 2000 word/stem pairs per 
> stemmer, complete lists for Norwegian) regenerated by running the originals, 
> so any behavioral drift fails the test. The Galician and Portuguese minimal 
> stemmers are excluded because they build on the RSLP rule engine, which is 
> its own effort.



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