[jira] [Updated] (OPENNLP-1525) Improve TokenizerME to make use of abbreviations provided in TokenizerModel

2023-12-08 Thread Martin Wiesner (Jira)


 [ 
https://issues.apache.org/jira/browse/OPENNLP-1525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Martin Wiesner updated OPENNLP-1525:

Remaining Estimate: 2h
 Original Estimate: 2h

> Improve TokenizerME to make use of abbreviations provided in TokenizerModel
> ---
>
> Key: OPENNLP-1525
> URL: https://issues.apache.org/jira/browse/OPENNLP-1525
> Project: OpenNLP
>  Issue Type: Improvement
>  Components: Tokenizer
>Affects Versions: 2.3.1
>Reporter: Martin Wiesner
>Assignee: Martin Wiesner
>Priority: Minor
> Fix For: 2.3.2
>
>   Original Estimate: 2h
>  Remaining Estimate: 2h
>
> While working on OPENNLP-1479 and reviewing a PR by [~l-ma], we identified 
> that {{TokenizerME}} doesn't make use of locale/language specific 
> abbreviations provided via the corresponding TokenizerModel. 
> Therefore, terms will get mis-tokenized if they are abbreviated, such as the 
> German token "S." which represents an abbreviated form of "Seite" (-> page). 
> Instead of being tokenized as ["S."], TokenizerME will incorrectly yield: 
> ["S", "."].
> Improvement suggested:
> - Make use of the abbreviations dictionary provided by the {{TokenizerModel}}
> - Adapt the idea suggested and implemented in OPENNLP-570 
> ({{SentenceDetectorME}}) for {{TokenizerME}}
> - Adjust {{TokenizerFactoryTest}} method testCustomPatternForTokenizerMEDeu() 
> for German abbreviations, see sent-detector test case. It should expect and 
> result in 14 tokens, instead of 16 - so there is a TODO here.
>  



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[jira] [Updated] (OPENNLP-1525) Improve TokenizerME to make use of abbreviations provided in TokenizerModel

2023-12-08 Thread Martin Wiesner (Jira)


 [ 
https://issues.apache.org/jira/browse/OPENNLP-1525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Martin Wiesner updated OPENNLP-1525:

Summary: Improve TokenizerME to make use of abbreviations provided in 
TokenizerModel  (was: Improve TokenizerME to make use of abbreviations provide 
in TokenizerModel)

> Improve TokenizerME to make use of abbreviations provided in TokenizerModel
> ---
>
> Key: OPENNLP-1525
> URL: https://issues.apache.org/jira/browse/OPENNLP-1525
> Project: OpenNLP
>  Issue Type: Improvement
>  Components: Tokenizer
>Affects Versions: 2.3.1
>Reporter: Martin Wiesner
>Assignee: Martin Wiesner
>Priority: Minor
> Fix For: 2.3.2
>
>
> While working on OPENNLP-1479 and reviewing a PR by [~l-ma], we identified 
> that {{TokenizerME}} doesn't make use of locale/language specific 
> abbreviations provided via the corresponding TokenizerModel. 
> Therefore, terms will get mis-tokenized if they are abbreviated, such as the 
> German token "S." which represents an abbreviated form of "Seite" (-> page). 
> Instead of being tokenized as ["S."], TokenizerME will incorrectly yield: 
> ["S", "."].
> Improvement suggested:
> - Make use of the abbreviations dictionary provided by the {{TokenizerModel}}
> - Adapt the idea suggested and implemented in OPENNLP-570 
> ({{SentenceDetectorME}}) for {{TokenizerME}}
> - Adjust {{TokenizerFactoryTest}} method testCustomPatternForTokenizerMEDeu() 
> for German abbreviations, see sent-detector test case. It should expect and 
> result in 14 tokens, instead of 16 - so there is a TODO here.
>  



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