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Posted to issues@opennlp.apache.org by "Richard Zowalla (Jira)" <ji...@apache.org> on 2023/12/12 14:10:00 UTC
[jira] [Closed] (OPENNLP-1525) Improve TokenizerME to make use of abbreviations provided in TokenizerModel
[ https://issues.apache.org/jira/browse/OPENNLP-1525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Richard Zowalla closed OPENNLP-1525.
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Resolution: Fixed
> 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
> Time Spent: 1h 25m
> Remaining Estimate: 35m
>
> 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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