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https://issues.apache.org/jira/browse/OPENNLP-197?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13045881#comment-13045881
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Jörn Kottmann commented on OPENNLP-197:
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There could really be a difference between the cmd line interface and UIMA. The
UIMA trainer creates a SentenceSample per training document, where the cmd line
interface generates the samples based on sentence counting (if I remember
correctly). Through this difference the model will be different, but it should
not make a big difference in the training performance.
I will answer the other questions soon.
> The UIMA "Sentence Detector Trainer" may build erratic models depending on
> the covered text format of the sentence annotations.
> -------------------------------------------------------------------------------------------------------------------------------
>
> Key: OPENNLP-197
> URL: https://issues.apache.org/jira/browse/OPENNLP-197
> Project: OpenNLP
> Issue Type: Bug
> Components: UIMA Integration
> Reporter: Nicolas Hernandez
> Attachments: fr-sent.zip
>
>
> In the opennlp-uima subproject, the "Sentence Detector Training" component
> asks for a Sentence annotation type as a parameter.
> The component does not check whether each corresponding sentence is written
> in its own line.
> As a matter of fact the built model would not work as expected.
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