Examples with AnalysisEngineDescription org.apache.uima.analysis_engine.AnalysisEngineDescription used on opensource projects

Example 16 with AnalysisEngineDescription

use of org.apache.uima.analysis_engine.AnalysisEngineDescription in project dkpro-tc by dkpro.

the class LuceneMetaCollectionBasedFeatureTestBase method prepareFeatureExtractor.

protected AnalysisEngineDescription prepareFeatureExtractor(File outputPath, Class<? extends Resource_ImplBase> class1, Object[] parameters) throws ResourceInitializationException {
    List<ExternalResourceDescription> fes = makeResource(class1, parameters);
    AnalysisEngineDescription featExtractorConnector = TaskUtils.getFeatureExtractorConnector(outputPath.getAbsolutePath(), JsonDataWriter.class.getName(), Constants.LM_SINGLE_LABEL, Constants.FM_DOCUMENT, false, false, false, false, Collections.emptyList(), fes, new String[] {});
    return featExtractorConnector;
}

Example 17 with AnalysisEngineDescription

use of org.apache.uima.analysis_engine.AnalysisEngineDescription in project dkpro-tc by dkpro.

the class PosNGramTest method runMetaCollection.

@Override
protected void runMetaCollection(File luceneFolder, AnalysisEngineDescription metaCollector) throws Exception {
    CollectionReaderDescription reader = getMetaReader();
    AnalysisEngineDescription segmenter = AnalysisEngineFactory.createEngineDescription(BreakIteratorSegmenter.class);
    AnalysisEngineDescription posTagger = AnalysisEngineFactory.createEngineDescription(OpenNlpPosTagger.class, OpenNlpPosTagger.PARAM_LANGUAGE, "en");
    SimplePipeline.runPipeline(reader, segmenter, posTagger, metaCollector);
}

Example 18 with AnalysisEngineDescription

use of org.apache.uima.analysis_engine.AnalysisEngineDescription in project dkpro-tc by dkpro.

the class DiffNounChunkCharacterLengthTest method setUp.

@Before
public void setUp() throws ResourceInitializationException, AnalysisEngineProcessException {
    AnalysisEngineDescription desc = createEngineDescription(BreakIteratorSegmenter.class);
    AnalysisEngine engine = createEngine(desc);
    jcas1 = engine.newJCas();
    jcas1.setDocumentLanguage("en");
    jcas1.setDocumentText("This is the text of view 1");
    engine.process(jcas1);
    jcas2 = engine.newJCas();
    jcas2.setDocumentLanguage("en");
    jcas2.setDocumentText("This is the text of view 2");
    engine.process(jcas2);
}

Example 19 with AnalysisEngineDescription

use of org.apache.uima.analysis_engine.AnalysisEngineDescription in project dkpro-tc by dkpro.

the class SharedNounChunksTest method setUp.

@Before
public void setUp() throws ResourceInitializationException, AnalysisEngineProcessException {
    AnalysisEngineDescription desc = createEngineDescription(BreakIteratorSegmenter.class);
    AnalysisEngine engine = createEngine(desc);
    jcas1 = engine.newJCas();
    jcas1.setDocumentLanguage("en");
    jcas1.setDocumentText("This is the text of view 1");
    JCasId id = new JCasId(jcas1);
    id.setId(jcasId++);
    id.addToIndexes();
    engine.process(jcas1);
    jcas2 = engine.newJCas();
    jcas2.setDocumentLanguage("en");
    jcas2.setDocumentText("This is the text of view 2");
    id = new JCasId(jcas2);
    id.setId(jcasId++);
    id.addToIndexes();
    engine.process(jcas2);
}

Example 20 with AnalysisEngineDescription

use of org.apache.uima.analysis_engine.AnalysisEngineDescription in project dkpro-tc by dkpro.

the class DiffNrOfSentencesPairFeatureExtractorTest method testExtract.

@Test
public void testExtract() throws ResourceInitializationException, AnalysisEngineProcessException, TextClassificationException {
    AnalysisEngineDescription desc = createEngineDescription(BreakIteratorSegmenter.class);
    AnalysisEngine engine = createEngine(desc);
    JCas jcas1 = engine.newJCas();
    jcas1.setDocumentLanguage("en");
    jcas1.setDocumentText("This is the text of view 1. And some more.");
    engine.process(jcas1);
    JCas jcas2 = engine.newJCas();
    jcas2.setDocumentLanguage("en");
    jcas2.setDocumentText("This is the text of view 2.");
    engine.process(jcas2);
    DiffNrOfSentencesPairFeatureExtractor extractor = new DiffNrOfSentencesPairFeatureExtractor();
    Set<Feature> features = extractor.extract(jcas1, jcas2);
    assertEquals(1, features.size());
    for (Feature feature : features) {
        assertFeature("DiffNrOfSentences", 1, feature);
    }
}