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https://issues.apache.org/jira/browse/STANBOL-1229?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rupert Westenthaler resolved STANBOL-1229.
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Resolution: Fixed
fixed with http://svn.apache.org/r1547321 for both trunk and 0.12
> Convert all OpenNLP Enhancement Engines to Configuration Factories
> ------------------------------------------------------------------
>
> Key: STANBOL-1229
> URL: https://issues.apache.org/jira/browse/STANBOL-1229
> Project: Stanbol
> Issue Type: Improvement
> Components: Enhancement Engines
> Affects Versions: 0.12.0
> Reporter: Rupert Westenthaler
> Assignee: Rupert Westenthaler
> Priority: Minor
> Fix For: 0.12.0
>
>
> Currently the OpenNLP Sentence Detection and Tokenizer Enhancement Engines do
> not support OSGI Configuration Factories. Because of that they do only allow
> a single instance.
> However this can create problems if one wants to configure multiple
> Enhancement Chains with different NLP frameworks.
> Here an example
> Chain1:
> * OpenNLP for English, German and Spanish
> Chain2:
> * Stanford NLP for English
> * OpenNLP for German
> * Freeling NLP for Spanish
> As OpenNLP does support all three mentioned languages a user would like to
> configure the following Engines configurations for OpenNLP:
> 1. OpenNLP engines for sentence detection, tokenization, POS tagging and
> Chunking that include all three languages.
> 2. OpenNLP engines that only process German language texts for sentence
> detection, tokenization, POS tagging and Chunking
> 3. RESTful NLP Analysis Engine calling StanfordNLP for English language texts
> 4. RESTful NLP Analysis Engine calling Freeling for Spanish language texts
> Chain1 would use the OpenNLP engines configured to process all languages
> while Chain 2 would use the engine configurations listed under point 2 to 4.
> However as the OpenNLP Tokenizer and Sentence detection engine do not support
> OSGI Configuration Factories this is currently not possible as only a single
> Engine instance of those two engines can be configured.
> Because of that English and Spanish Text sent to Chain2 would be processed by
> two Sentence Detectors and Tokenizers and this results in duplicate Sentence
> and Token annotations.
> Adding support for OSGI Configuration Factories to all OpenNLP
> EnhancementEngines will solve this issue. Existing Configurations will be not
> affected as all engines do already use "ConfigurationPolicy.OPTIONAL" -
> meaning that a default instance with the default configuration is created
> automatically.
> This Issues affects both the trunk as well as the 0.12 releasing branch
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