import de.tudarmstadt.ukp.dkpro.core.languagetool.LanguageToolSegmenter; //导入依赖的package包/类
private void setupPipeline() throws ResourceInitializationException {
	AnalysisEngineDescription segmenter = createEngineDescription(LanguageToolSegmenter.class);

	AnalysisEngineDescription dbpedia = createEngineDescription(SpotlightAnnotator.class,
			//SpotlightAnnotator.PARAM_ENDPOINT, "http://localhost:2222/rest",
			SpotlightAnnotator.PARAM_ENDPOINT, this.dbpediaService,
			SpotlightAnnotator.PARAM_CONFIDENCE, 0.35f,
			SpotlightAnnotator.PARAM_ALL_CANDIDATES, false);

	AnalysisEngineDescription ner = createEngineDescription(StanfordNamedEntityRecognizer.class);

	AnalysisEngineDescription pos = createEngineDescription(OpenNlpPosTagger.class,
			OpenNlpPosTagger.PARAM_LANGUAGE,"en");
	
	AnalysisEngineDescription chunk = createEngineDescription(OpenNlpChunker.class,
			OpenNlpChunker.PARAM_LANGUAGE,"en");
	
	AnalysisEngineDescription key = createEngineDescription(KeyPhraseAnnotator.class,
			KeyPhraseAnnotator.PARAM_LANGUAGE, "en");

	this.ae = createEngine(createEngineDescription(segmenter, dbpedia, ner, pos, chunk, key));
}
 

import de.tudarmstadt.ukp.dkpro.core.languagetool.LanguageToolSegmenter; //导入依赖的package包/类
@Before
public void setUp() throws UIMAException, SAXException, IOException {

	TypeSystemDescription tsd = TypeSystemDescriptionFactory.createTypeSystemDescription();
	jcas = JCasFactory.createJCas(tsd);
	XmiCasDeserializer.deserialize(getClass().getResourceAsStream("/rfxf.0.xmi"), jcas.getCas(), true);
	jcas.setDocumentLanguage("de");

	desc = D.getWrappedSegmenterDescription(LanguageToolSegmenter.class);
}
 

import de.tudarmstadt.ukp.dkpro.core.languagetool.LanguageToolSegmenter; //导入依赖的package包/类
@Before
public void setUp() throws UIMAException, SAXException, IOException {

	TypeSystemDescription tsd = TypeSystemDescriptionFactory.createTypeSystemDescription();
	jcas = JCasFactory.createJCas(tsd);
	XmiCasDeserializer.deserialize(getClass().getResourceAsStream("/rfxf.0.xmi"), jcas.getCas(), true);
	jcas.setDocumentLanguage("de");
	desc = D.getWrappedSegmenterDescription(LanguageToolSegmenter.class);
}
 

import de.tudarmstadt.ukp.dkpro.core.languagetool.LanguageToolSegmenter; //导入依赖的package包/类
public static void main(String[] args) throws ResourceInitializationException, UIMAException, IOException {
	System.setProperty("java.util.logging.config.file", "src/main/resources/logging.properties");

	CollectionReaderDescription crd = CollectionReaderFactory.createReaderDescription(TextgridTEIUrlReader.class,
			TextgridTEIUrlReader.PARAM_INPUT, "src/main/resources");

	SimplePipeline.runPipeline(crd,
			/*
			 * Do segmentation.
			 */
			D.getWrappedSegmenterDescription(LanguageToolSegmenter.class),
			createEngineDescription(FigureReferenceAnnotator.class),
			createEngineDescription(SpeakerIdentifier.class, SpeakerIdentifier.PARAM_CREATE_SPEAKER_FIGURE, true),
			/*
			 * standard NLP components. This works because dkpro only sees
			 * tokens and sentences. The segmenter creates those only for
			 * the figure speech (and not for stage directions)
			 */
			createEngineDescription(StanfordPosTagger.class),
			createEngineDescription(StanfordNamedEntityRecognizer.class),
			createEngineDescription(FigureMentionDetection.class),
			/*
			 * Extract copresence network
			 */
			createEngineDescription(NetworkExtractor.class),
			/*
			 * extract mention network
			 */
			createEngineDescription(NetworkExtractor.class, NetworkExtractor.PARAM_VIEW_NAME, "MentionNetwork",
					NetworkExtractor.PARAM_NETWORK_TYPE, "MentionNetwork"),
			/*
			 * print xmi
			 */
			createEngineDescription(XmiWriter.class, XmiWriter.PARAM_TARGET_LOCATION, "target/xmi/"));
}