| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You 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 opennlp.tools.eval; |
| |
| import java.io.File; |
| import java.io.IOException; |
| import java.math.BigInteger; |
| |
| import org.junit.Assert; |
| import org.junit.BeforeClass; |
| import org.junit.Test; |
| |
| import opennlp.tools.formats.conllu.ConlluLemmaSampleStream; |
| import opennlp.tools.formats.conllu.ConlluStream; |
| import opennlp.tools.formats.conllu.ConlluTagset; |
| import opennlp.tools.lemmatizer.LemmaSample; |
| import opennlp.tools.lemmatizer.LemmatizerEvaluator; |
| import opennlp.tools.lemmatizer.LemmatizerFactory; |
| import opennlp.tools.lemmatizer.LemmatizerME; |
| import opennlp.tools.lemmatizer.LemmatizerModel; |
| import opennlp.tools.util.MarkableFileInputStreamFactory; |
| import opennlp.tools.util.ObjectStream; |
| import opennlp.tools.util.TrainingParameters; |
| import opennlp.tools.util.model.ModelUtil; |
| |
| public class UniversalDependency20Eval extends AbstractEvalTest { |
| |
| private static File SPA_ANCORA_TRAIN; |
| private static File SPA_ANCORA_DEV; |
| |
| @BeforeClass |
| public static void verifyTrainingData() throws Exception { |
| |
| SPA_ANCORA_TRAIN = new File(getOpennlpDataDir(),"ud20/UD_Spanish-AnCora/es_ancora-ud-train.conllu"); |
| SPA_ANCORA_DEV = new File(getOpennlpDataDir(),"ud20/UD_Spanish-AnCora/es_ancora-ud-dev.conllu"); |
| |
| verifyFileChecksum(SPA_ANCORA_TRAIN.toPath(), |
| new BigInteger("224942804200733453179524127037951530195")); |
| verifyFileChecksum(SPA_ANCORA_DEV.toPath(), |
| new BigInteger("280996187464384493180190898172297941708")); |
| } |
| |
| private double trainAndEval(String lang, File trainFile, TrainingParameters params, |
| File evalFile) throws IOException { |
| ConlluTagset tagset = ConlluTagset.X; |
| |
| ObjectStream<LemmaSample> trainSamples = new ConlluLemmaSampleStream(new ConlluStream( |
| new MarkableFileInputStreamFactory(trainFile)), tagset); |
| |
| LemmatizerModel model = LemmatizerME.train(lang, trainSamples, params, new LemmatizerFactory()); |
| LemmatizerEvaluator evaluator = new LemmatizerEvaluator(new LemmatizerME(model)); |
| |
| evaluator.evaluate(new ConlluLemmaSampleStream(new ConlluStream( |
| new MarkableFileInputStreamFactory(evalFile)), tagset)); |
| |
| return evaluator.getWordAccuracy(); |
| } |
| |
| @Test |
| public void trainAndEvalSpanishAncora() throws IOException { |
| TrainingParameters params = ModelUtil.createDefaultTrainingParameters(); |
| params.put("Threads", "4"); |
| |
| double wordAccuracy = trainAndEval("spa", SPA_ANCORA_TRAIN, |
| params, SPA_ANCORA_DEV); |
| |
| Assert.assertEquals(0.9057341692068787d, wordAccuracy, ACCURACY_DELTA); |
| } |
| } |