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https://issues.apache.org/jira/browse/OPENNLP-1539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17848997#comment-17848997
]
ASF GitHub Bot commented on OPENNLP-1539:
-----------------------------------------
rzo1 commented on PR #601:
URL: https://github.com/apache/opennlp/pull/601#issuecomment-2127381263
Note: The currently failing tests are unrelated to the actual change:
```bash
Error: ChunkerModelLoaderTest.initResources:43->lambda$initResources$0:47
Runtime java.io.IOException: Server returned HTTP response code: 503 for URL:
https://opennlp.sourceforge.net/models-1.5/en-chunker.bin
Error:
TokenNameFinderModelLoaderTest.initResources:43->lambda$initResources$0:47
Runtime java.io.IOException: Server returned HTTP response code: 503 for URL:
https://opennlp.sourceforge.net/models-1.5/en-ner-location.bin
Error:
TokenNameFinderModelTest.testNERWithPOSModelV15:122->AbstractModelLoaderTest.downloadVersion15Model:41->AbstractModelLoaderTest.downloadModel:57
ยป IO Server returned HTTP response code: 503 for URL:
https://opennlp.sourceforge.net/models-1.5/pt-pos-perceptron.bin
```
> Introduce parameter for POSTaggerME to configure output POS tag format
> ----------------------------------------------------------------------
>
> Key: OPENNLP-1539
> URL: https://issues.apache.org/jira/browse/OPENNLP-1539
> Project: OpenNLP
> Issue Type: Improvement
> Components: POS Tagger
> Affects Versions: 2.0.0, 2.1.0, 2.2.0, 2.3.0
> Reporter: Martin Wiesner
> Assignee: Richard Zowalla
> Priority: Major
> Fix For: 2.4.0
>
>
> [Classic (legacy) POS models|https://opennlp.sourceforge.net/models-1.5/]
> output tags in the [PENN Treebank POS
> tag|https://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html]
> format.
> The modern UD-based models, however, differ in the [longer output
> format|https://universaldependencies.org/u/pos/], e.g. "VB" (Penn) vs. "VERB"
> (UD). Extended (UD) word features are covered here:
> https://universaldependencies.org/u/feat/index.html
> This difference results in mismatches and will cause existing IT / tests to
> fail, if executed. Luckily, a mapping table is found here:
> https://universaldependencies.org/tagset-conversion/en-penn-uposf.html
> To provide compatibility for existing applications and/or use-cases, we need
> to provide a way to retrieve both POS formats.
> Aims:
> - Introduce a constructor parameter for POSTaggerME to configure tag format /
> style: Penn or UD style
> - Implement a mapping between both POS tag formats: UD <==> Penn
> - Update the OpenNLP Manual to explain differences of POS tag format and
> configuration parameter
> Conceptual idea:
> - {{new POSTaggerME("en")}} => by _default_: UD format "as is"
> - {{new POSTaggerME("en", POSTagFormat.PENN)}} => by _intention_, here: Penn
> style
> Benefit:
> 1. It should be explicit so devs / user see what they will get via
> {{POSTagFormat}}. Enum values: POSTagFormat.UD, POSTagFormat.PENN,
> POSTagFormat.DEFAULT
> 2. IT tests can now be formulated to work on both modern and legacy models.
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