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      Description

      Implement an OpenNLP based Sentence Detection Engine that supports language specific configurations.

      e.g.

      !zh
      !jp
      de;model=mySentDecModel.bin
      *

      The 'model' parameter allows to configure the name of the language detection model used for a given language. If nothing is specified "

      {lang}

      -sent.bin" is assumed as default.

      Texts in languages where no model is present are not processed.

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        rwesten Rupert Westenthaler added a comment -
        Show
        rwesten Rupert Westenthaler added a comment - implementation provided with http://svn.apache.org/viewvc?rev=1406165&view=rev
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        rwesten Rupert Westenthaler added a comment - - edited

        Documentation for this Engine

        OpenNLP Sentence Detection Engine
        ==============

        The OpenNLP Sentence Detection Engine adds Sentence_s to the _[AnalyzedText](../nlp/analyzedtext) content part. If the AnalyzedText content part is not yet present it is created by this engine.

          1. Consumed information
        • _Language_ (required): The language of the text needs to be available. It is read as specified by STANBOL-613(https://issues.apache.org/jira/browse/STANBOL-613) from the metadata of the ContentItem. Effectively this means that any Stanbol Language Detection engine will need to be executed before the OpenNLP POS Tagging Engine.
          1. Configuration

        The OpenNLP Sentence Detector Engine provides a default service instance (configuration policy is optional). This instance processes all languages and adds _Sentence_s for all languages where a OpenNLP sentence detection model is available. This Engine instance uses the name 'opennlp-sentence' and has a service ranking of '-100'.

        This engine supports the default configuration for Enhancement Engines including the _name_ (stanbol.enhancer.engine.name) and the _ranking_ (service.ranking) In addition it is possible to configure the _processed languages_ (org.apache.stanbol.enhancer.sentence.languages) and an parameter to specify the name of the sentence detection model used for a language.

        _1. Processed Language Configuraiton:_

        For the configuration of the processed languages the following syntax is used:

        de
        en

        This would configure the Engine to only process German and English texts. It is also possible to explicitly exclude languages

        !fr
        !it
        *

        This specifies that all Languages other than French and Italien are processed.

        Values can be parsed as Array or Vector. This is done by using the ["elem1","elem2",...] syntax as defined by OSGI ".config" files. As fallback also ',' separated Strings are supported.

        The following example shows the two above examples combined to a single configuration.

        org.apache.stanbol.enhancer.sentence.languages=["!fr","!it","de","en","*"]

        NOTE that the "processed language" configuration only specifies what languages are considered for processing. If "de" is enabled, but there is no sentence detection model available for that language, than German text will still not be processed. However if there is a POS model for "it" but the "processed language" configuration does not include Italian, than Italian text will NOT be processed.

        _2. Sentnece detection model parameter_

        The OpenNLP Sentence Detection engine supports the 'model' parameter to explicitly parse the name of the sentence detection model used for an language. Models are loaded via the Stanbol DataFile provider infrastructure. That means that models can be loaded from the

        {stanbol-working-dir}

        /stanbol/datafiles folder.

        The syntax for parameters is as follows

        {language}

        ;

        {param-name}

        =

        {param-value}

        So to use the "my-de-sentence-model.zip" for detecting sentences in German texts one can use a configuration like follows

        de;model=my-de-sentence-model.zip
        *

        By default OpenNLP sentence detection models are loaded from '

        {lang}

        -sent.bin'. To use models with other names users need to use the 'model' parameter as described above.

        Show
        rwesten Rupert Westenthaler added a comment - - edited Documentation for this Engine OpenNLP Sentence Detection Engine ============== The OpenNLP Sentence Detection Engine adds Sentence_s to the _ [AnalyzedText] (../nlp/analyzedtext) content part. If the AnalyzedText content part is not yet present it is created by this engine. Consumed information _ Language _ (required): The language of the text needs to be available. It is read as specified by STANBOL-613 ( https://issues.apache.org/jira/browse/STANBOL-613 ) from the metadata of the ContentItem. Effectively this means that any Stanbol Language Detection engine will need to be executed before the OpenNLP POS Tagging Engine. Configuration The OpenNLP Sentence Detector Engine provides a default service instance (configuration policy is optional). This instance processes all languages and adds _Sentence_s for all languages where a OpenNLP sentence detection model is available. This Engine instance uses the name 'opennlp-sentence' and has a service ranking of '-100'. This engine supports the default configuration for Enhancement Engines including the _ name _ (stanbol.enhancer.engine.name) and the _ ranking _ (service.ranking) In addition it is possible to configure the _ processed languages _ (org.apache.stanbol.enhancer.sentence.languages) and an parameter to specify the name of the sentence detection model used for a language. _ 1. Processed Language Configuraiton: _ For the configuration of the processed languages the following syntax is used: de en This would configure the Engine to only process German and English texts. It is also possible to explicitly exclude languages !fr !it * This specifies that all Languages other than French and Italien are processed. Values can be parsed as Array or Vector. This is done by using the ["elem1","elem2",...] syntax as defined by OSGI ".config" files. As fallback also ',' separated Strings are supported. The following example shows the two above examples combined to a single configuration. org.apache.stanbol.enhancer.sentence.languages= ["!fr","!it","de","en","*"] NOTE that the "processed language" configuration only specifies what languages are considered for processing. If "de" is enabled, but there is no sentence detection model available for that language, than German text will still not be processed. However if there is a POS model for "it" but the "processed language" configuration does not include Italian, than Italian text will NOT be processed. _ 2. Sentnece detection model parameter _ The OpenNLP Sentence Detection engine supports the 'model' parameter to explicitly parse the name of the sentence detection model used for an language. Models are loaded via the Stanbol DataFile provider infrastructure. That means that models can be loaded from the {stanbol-working-dir} /stanbol/datafiles folder. The syntax for parameters is as follows {language} ; {param-name} = {param-value} So to use the "my-de-sentence-model.zip" for detecting sentences in German texts one can use a configuration like follows de;model=my-de-sentence-model.zip * By default OpenNLP sentence detection models are loaded from ' {lang} -sent.bin'. To use models with other names users need to use the 'model' parameter as described above.

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          • Assignee:
            rwesten Rupert Westenthaler
            Reporter:
            rwesten Rupert Westenthaler
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