Examples of org.apache.uima.analysis_engine.AnalysisEngine.newJCas()

Class org.apache.uima.analysis_engine.AnalysisEngine

Examples of org.apache.uima.analysis_engine.AnalysisEngine.newJCas()

org.apache.uima.analysis_engine.AnalysisEngine.newJCas()
Similar to {@link #newCAS()} but wraps the new CAS objects with the Java-object-based{@link JCas} interface.
Note: the JCas that is returned is equivalent to what you would get if you called newCAS().getCurrentView().getJCas(). That is, this method returns a view of the default Sofa, NOT a Base CAS.
Important: CAS creation is expensive, so if at all possible an application should reuse CASes. When a JCas instance is no longer being used, call its {@link JCas#reset()} method,which will remove all prior analysis information, and then reuse that same JCas instance for another call to {@link #process(JCas)}. @return a new CAS appropriate for this AnalysisEngine. @throws ResourceInitializationException if a CAS could not be created because this AnalysisEngine's CAS metadata (type system, type priorities, or FS indexes) are invalid. Ideally this would be checked at AnalysisEngine initialization time, and it will likely be moved in the future.

  
  @Test
  public void testLoadWordsOnly() throws ResourceInitializationException, IOException, CollectionException {
    CollectionReader collectionReader = TestUtil.getCR(new File("desc/test/OpenNLPPOSCollectionReader2.xml"));
    AnalysisEngine analysisEngine = TestUtil.getAE(new File("desc/test/NullAnnotator.xml"));
    JCas jCas = analysisEngine.newJCas();
    collectionReader.getNext(jCas.getCas());
    
    BaseToken baseToken = TestUtil.getFeatureStructureAtIndex(jCas, BaseToken.class, 0);
    assertEquals(0, baseToken.getBegin());
    assertEquals(1, baseToken.getEnd());

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    baseToken = TestUtil.getFeatureStructureAtIndex(jCas, BaseToken.class, 6);
    assertEquals(".", baseToken.getCoveredText());
    assertNull(baseToken.getPartOfSpeech());


    CollectionException ce = null;
    jCas = analysisEngine.newJCas();
    try {
      collectionReader.getNext(jCas.getCas());
    } catch(CollectionException e) {
      ce = e;
    }

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    AggregateBuilder builder = new AggregateBuilder();
    builder.add(findDescription(ModifierExtractorAnnotator.class));
    builder.add(findDescription(DegreeOfRelationExtractorAnnotator.class));
    builder.add(findDescription(LocationOfRelationExtractorAnnotator.class));
    AnalysisEngine engine = builder.createAggregate();
    JCas jCas = engine.newJCas();


    // populate the CAS with an example sentence
    // TODO: add annotations to support phrase chunk and dependency features
    TokenBuilder<BaseToken, Sentence> tokenBuilder =
        new TokenBuilder<BaseToken, Sentence>(BaseToken.class, Sentence.class, "partOfSpeech", null);

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        createEngineDescription(
            StanfordLemmatizer.class)
        );      
    AnalysisEngine ae = AnalysisEngineFactory.createEngine(aed);
    
    JCas jcas = ae.newJCas();
    jcas.setDocumentLanguage("en");
    jcas.setDocumentText(fileContents);
    
    ae.process(jcas);

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                    createEngineDescription(BreakIteratorSegmenter.class),
                    createEngineDescription(OpenNlpPosTagger.class,
                OpenNlpPosTagger.PARAM_LANGUAGE, originalLanguage.toString().toLowerCase()),
                createEngineDescription(GateLemmatizer.class)));


        JCasBuilder cb = new JCasBuilder(ae.newJCas());
        cb.add(text);
        cb.close();
            
        JCas jcas = cb.getJCas();

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        createEngineDescription(
            StanfordLemmatizer.class)
        );      
    AnalysisEngine ae = AnalysisEngineFactory.createEngine(aed);
    
    JCas jcas = ae.newJCas();
    jcas.setDocumentText(fileContents);
    
    ae.process(jcas);
    
    Collection<Lemma> lemmas = JCasUtil.select(jcas, Lemma.class);

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        createEngineDescription(
            GateLemmatizer.class)
        );      
    AnalysisEngine ae = AnalysisEngineFactory.createEngine(aed);
    
    JCas jcas = ae.newJCas();
    jcas.setDocumentText(fileContents);
    
    ae.process(jcas);
    
    Collection<Lemma> lemmas = JCasUtil.select(jcas, Lemma.class);

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        System.err
            .println("Warning: this test case runs only if uimaj-core is a sister project to the tagger project; otherwise, the test input data is not available.");
        System.err.println("Skipping test");
        return;
      }
      JCas cas = taggerEngine.newJCas();
      cas.setDocumentText(text);
      taggerEngine.process(cas);
      List<String> savedTags = readSavedTagList();
      List<String> currentTags = getCurrentTagList(cas);
      assertTrue("List of tags is not the same length", savedTags.size() == currentTags.size());

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      e.printStackTrace();
      assertTrue(false);
    }
    JCas cas = null;
    try {
      cas = ae.newJCas();
    } catch (ResourceInitializationException e) {
      e.printStackTrace();
      assertTrue(false);
    }
    cas.setDocumentText(text);

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            RutaEngine.PARAM_MAIN_SCRIPT, "org.apache.uima.ruta.engine.UimafitTest",
            // Path(s) where the scripts are located
            RutaEngine.PARAM_SCRIPT_PATHS, new String[] { "src/test/resources" });


    // Create a CAS from the AE so it has the required type priorities
    JCas jcas = tm.newJCas();


    // Fill the CAS with some tokens
    JCasBuilder builder = new JCasBuilder(jcas);
    builder.add("This", TruePositive.class);
    builder.add(" ");

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