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org.apache.stanbol.enhancer.engines.opennlp.token.impl.OpenNlpTokenizerEngine.name=Apache \
Stanbol Enhancer Engine: OpenNLP Tokenizer
org.apache.stanbol.enhancer.engines.opennlp.token.impl.OpenNlpTokenizerEngine.description=Enhancement \
Engine that tokenizes text by using the OpenNLP Tokenizer. It can be configured to use a \
custom TokenizerModel or the SimpleTokenizer by configuring 'SIMPLE' as modle name.


stanbol.enhancer.engine.name.name=Name
stanbol.enhancer.engine.name.description=The name of the enhancement engine as \
used in the RESTful interface '/engine/<name>'
service.ranking.name=Ranking
service.ranking.description=If two enhancement engines with the same name are active the \
one with the higher ranking will be used to process parsed content items.

org.apache.stanbol.enhancer.token.languages.name=Language configuration
org.apache.stanbol.enhancer.token.languages.description=Takes a list of ISO \
  language codes. '*' is the Wildcard; '!{lang}' to exclude a language; \
  '{lang};model={tokenizer-model-file-name}' to configure a \
  custom OpenNLP tokenizer model for a language. The name 'SIMPLE' can be used to \
  force the usage of the SimpleTokenizer for a lnaugage. \
  Models are loaded via the Stanbol DataFileProvider service. So users can e.g. \
  put models in the datafiles directory \
  (defaults to '{stanbol-working-dir}/stanbol/datafiles')