/** * Copyright 2015, Emory University * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package edu.emory.clir.clearnlp.feature.common; import edu.emory.clir.clearnlp.classification.vector.StringFeatureVector; import edu.emory.clir.clearnlp.component.mode.pos.POSState; import edu.emory.clir.clearnlp.component.utils.CFlag; import edu.emory.clir.clearnlp.dependency.DEPTree; import edu.emory.clir.clearnlp.reader.TSVReader; import edu.emory.clir.clearnlp.util.IOUtils; /** * @author Jinho D. Choi ({@code jinho.choi@emory.edu}) */ public class CommonFeatureExtractorTest { public void test() { String depFile = ""; String featureFile = ""; TSVReader reader = new TSVReader(0, 1, 2, 3, 4, 5, 6, 7); reader.open(IOUtils.createFileInputStream(depFile)); DEPTree tree = reader.next(); CommonFeatureExtractor<POSState> extractor = new CommonFeatureExtractor<>(IOUtils.createFileInputStream(featureFile)); POSState state = new POSState(tree, CFlag.TRAIN, null); StringFeatureVector vector; vector = extractor.createStringFeatureVector(state); int i, size = vector.size(); for (i=0; i<size; i++) System.out.println(vector.getType(i)+" "+vector.getValue(i)); } }