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https://issues.apache.org/jira/browse/OPENNLP-1261?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17779478#comment-17779478
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ASF GitHub Bot commented on OPENNLP-1261:
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rzo1 commented on PR #350:
URL: https://github.com/apache/opennlp/pull/350#issuecomment-1779091643
Don't know if this is still valid because we are now using an
`NGramCharModel` in the specific location. Guess, we need to do some digging
here :-)
> Language Detector fails to predict language on long input texts
> ---------------------------------------------------------------
>
> Key: OPENNLP-1261
> URL: https://issues.apache.org/jira/browse/OPENNLP-1261
> Project: OpenNLP
> Issue Type: Improvement
> Components: Language Detector
> Reporter: Jörn Kottmann
> Assignee: Jörn Kottmann
> Priority: Major
> Fix For: 1.9.3
>
> Attachments: langid_plus_minus_rollups.zip, leipzig_1000-sents.zip,
> opennlp_as_is_vs_1261.zip
>
>
> If the input text is very long, e.g. 100k chars, then the lang detect
> component fails to detect the language correctly, even though the text is
> only written in one language.
> This issue was tracked down to the context generator, where the count of the
> ngrams are ignored.
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