<?xml version="1.0" encoding="UTF-8"?>
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  #%L
  Colorado Computational Pharmacology's nlp module
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<taeDescription xmlns="http://uima.apache.org/resourceSpecifier">
<frameworkImplementation>org.apache.uima.java</frameworkImplementation>
<primitive>false</primitive>
<delegateAnalysisEngineSpecifiers>
<delegateAnalysisEngine key="ConceptMapper2CCPTypeSystemConverter_AE">
<import name="ae.nlp.conceptmapper.ConceptMapper2CCPTypeSystemConverter_AE"/>
</delegateAnalysisEngine>
<delegateAnalysisEngine key="OffsetTokenizer">
<import name="ae.nlp.tokenizer.OffsetTokenizer"/>
</delegateAnalysisEngine>
</delegateAnalysisEngineSpecifiers>
<analysisEngineMetaData>
<name>OffsetTokenizer_AAE</name>
<description>This is an aggregate AE for using the OffsetTokenizer (default tokenizer that comes with the UIMA Sandbox ConceptMapper distribution). It outputs CCPTokenAnnotations.</description>
<version></version>
<vendor></vendor>
<configurationParameters/>
<configurationParameterSettings/>
<flowConstraints>
<fixedFlow>
<node>OffsetTokenizer</node>
<node>ConceptMapper2CCPTypeSystemConverter_AE</node>
</fixedFlow>
</flowConstraints>
<fsIndexCollection/>
<capabilities>
<capability>
<inputs/>
<outputs>
<type allAnnotatorFeatures="true">edu.ucdenver.ccp.nlp.ext.uima.annotation.syntax.CCPTokenAnnotation</type>
</outputs>
<languagesSupported/>
</capability>
</capabilities>
<operationalProperties>
<modifiesCas>true</modifiesCas>
<multipleDeploymentAllowed>true</multipleDeploymentAllowed>
<outputsNewCASes>false</outputsNewCASes>
</operationalProperties>
</analysisEngineMetaData>
</taeDescription>
