JAVA-1848: Moved apache-opennlp to apache-libraries
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sampadawagde
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## Apache OpenNLP
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This module contains articles about Apache OpenNLP
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### Relevant Articles
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- [Intro to Apache OpenNLP](https://www.baeldung.com/apache-open-nlp)
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<?xml version="1.0" encoding="UTF-8"?>
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<project
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xmlns="http://maven.apache.org/POM/4.0.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<artifactId>apache-opennlp</artifactId>
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<version>1.0-SNAPSHOT</version>
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<name>apache-opennlp</name>
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<packaging>jar</packaging>
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<parent>
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<groupId>com.baeldung</groupId>
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<artifactId>parent-modules</artifactId>
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<version>1.0.0-SNAPSHOT</version>
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</parent>
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<dependencies>
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<dependency>
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<groupId>org.apache.opennlp</groupId>
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<artifactId>opennlp-tools</artifactId>
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<version>${org.apache.opennlp.opennlp-tools.version}</version>
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</dependency>
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<dependency>
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<groupId>org.assertj</groupId>
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<artifactId>assertj-core</artifactId>
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<version>${org.assertj.version}</version>
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<scope>test</scope>
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</dependency>
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</dependencies>
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<properties>
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<org.assertj.version>3.9.0</org.assertj.version>
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<org.apache.opennlp.opennlp-tools.version>1.8.4</org.apache.opennlp.opennlp-tools.version>
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</properties>
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</project>
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<?xml version="1.0" encoding="UTF-8"?>
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<configuration>
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<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
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<encoder>
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<pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n
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</pattern>
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</encoder>
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</appender>
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<root level="INFO">
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<appender-ref ref="STDOUT" />
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</root>
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</configuration>
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package com.baeldung.apache.opennlp;
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import java.io.FileInputStream;
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import java.io.InputStream;
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import opennlp.tools.chunker.ChunkerME;
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import opennlp.tools.chunker.ChunkerModel;
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import opennlp.tools.postag.POSModel;
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import opennlp.tools.postag.POSTaggerME;
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import opennlp.tools.tokenize.SimpleTokenizer;
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import static org.assertj.core.api.Assertions.assertThat;
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import org.junit.Test;
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public class ChunkerUnitTest {
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@Test
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public void givenChunkerModel_whenChunk_thenChunksAreDetected() throws Exception {
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SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE;
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String[] tokens = tokenizer.tokenize("He reckons the current account deficit will narrow to only 8 billion.");
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InputStream inputStreamPOSTagger = getClass().getResourceAsStream("/models/en-pos-maxent.bin");
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POSModel posModel = new POSModel(inputStreamPOSTagger);
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POSTaggerME posTagger = new POSTaggerME(posModel);
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String tags[] = posTagger.tag(tokens);
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InputStream inputStreamChunker = new FileInputStream("src/main/resources/models/en-chunker.bin");
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ChunkerModel chunkerModel = new ChunkerModel(inputStreamChunker);
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ChunkerME chunker = new ChunkerME(chunkerModel);
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String[] chunks = chunker.chunk(tokens, tags);
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assertThat(chunks).contains("B-NP", "B-VP", "B-NP", "I-NP", "I-NP", "I-NP", "B-VP", "I-VP", "B-PP", "B-NP", "I-NP", "I-NP", "O");
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}
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}
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package com.baeldung.apache.opennlp;
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import java.io.File;
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import java.io.FileNotFoundException;
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import java.io.IOException;
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import java.util.Arrays;
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import opennlp.tools.langdetect.Language;
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import opennlp.tools.langdetect.LanguageDetector;
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import opennlp.tools.langdetect.LanguageDetectorFactory;
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import opennlp.tools.langdetect.LanguageDetectorME;
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import opennlp.tools.langdetect.LanguageDetectorModel;
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import opennlp.tools.langdetect.LanguageDetectorSampleStream;
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import opennlp.tools.util.InputStreamFactory;
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import opennlp.tools.util.MarkableFileInputStreamFactory;
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import opennlp.tools.util.ObjectStream;
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import opennlp.tools.util.PlainTextByLineStream;
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import opennlp.tools.util.TrainingParameters;
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import static org.assertj.core.api.Assertions.assertThat;
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import static org.assertj.core.api.Assertions.tuple;
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import org.junit.Test;
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public class LanguageDetectorAndTrainingDataUnitTest {
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@Test
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public void givenLanguageDictionary_whenLanguageDetect_thenLanguageIsDetected() throws FileNotFoundException, IOException {
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InputStreamFactory dataIn = new MarkableFileInputStreamFactory(new File("src/main/resources/models/DoccatSample.txt"));
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ObjectStream lineStream = new PlainTextByLineStream(dataIn, "UTF-8");
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LanguageDetectorSampleStream sampleStream = new LanguageDetectorSampleStream(lineStream);
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TrainingParameters params = new TrainingParameters();
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params.put(TrainingParameters.ITERATIONS_PARAM, 100);
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params.put(TrainingParameters.CUTOFF_PARAM, 5);
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params.put("DataIndexer", "TwoPass");
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params.put(TrainingParameters.ALGORITHM_PARAM, "NAIVEBAYES");
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LanguageDetectorModel model = LanguageDetectorME.train(sampleStream, params, new LanguageDetectorFactory());
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LanguageDetector ld = new LanguageDetectorME(model);
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Language[] languages = ld.predictLanguages("estava em uma marcenaria na Rua Bruno");
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assertThat(Arrays.asList(languages)).extracting("lang", "confidence").contains(tuple("pob", 0.9999999950605625),
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tuple("ita", 4.939427661577956E-9), tuple("spa", 9.665954064665144E-15),
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tuple("fra", 8.250349924885834E-25));
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}
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}
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package com.baeldung.apache.opennlp;
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import java.io.InputStream;
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import opennlp.tools.lemmatizer.DictionaryLemmatizer;
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import opennlp.tools.postag.POSModel;
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import opennlp.tools.postag.POSTaggerME;
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import opennlp.tools.tokenize.SimpleTokenizer;
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import static org.assertj.core.api.Assertions.assertThat;
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import org.junit.Test;
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public class LemmetizerUnitTest {
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@Test
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public void givenEnglishDictionary_whenLemmatize_thenLemmasAreDetected() throws Exception {
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SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE;
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String[] tokens = tokenizer.tokenize("John has a sister named Penny.");
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InputStream inputStreamPOSTagger = getClass().getResourceAsStream("/models/en-pos-maxent.bin");
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POSModel posModel = new POSModel(inputStreamPOSTagger);
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POSTaggerME posTagger = new POSTaggerME(posModel);
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String tags[] = posTagger.tag(tokens);
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InputStream dictLemmatizer = getClass().getResourceAsStream("/models/en-lemmatizer.dict");
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DictionaryLemmatizer lemmatizer = new DictionaryLemmatizer(dictLemmatizer);
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String[] lemmas = lemmatizer.lemmatize(tokens, tags);
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assertThat(lemmas).contains("O", "have", "a", "sister", "name", "O", "O");
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}
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}
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package com.baeldung.apache.opennlp;
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import java.io.InputStream;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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import opennlp.tools.namefind.NameFinderME;
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import opennlp.tools.namefind.TokenNameFinderModel;
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import opennlp.tools.tokenize.SimpleTokenizer;
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import opennlp.tools.util.Span;
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import static org.assertj.core.api.Assertions.assertThat;
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import org.junit.Test;
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public class NamedEntityRecognitionUnitTest {
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@Test
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public void givenEnglishPersonModel_whenNER_thenPersonsAreDetected() throws Exception {
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SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE;
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String[] tokens = tokenizer.tokenize("John is 26 years old. His best friend's name is Leonard. He has a sister named Penny.");
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InputStream inputStreamNameFinder = getClass().getResourceAsStream("/models/en-ner-person.bin");
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TokenNameFinderModel model = new TokenNameFinderModel(inputStreamNameFinder);
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NameFinderME nameFinderME = new NameFinderME(model);
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List<Span> spans = Arrays.asList(nameFinderME.find(tokens));
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assertThat(spans.toString()).isEqualTo("[[0..1) person, [13..14) person, [20..21) person]");
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List<String> names = new ArrayList<String>();
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int k = 0;
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for (Span s : spans) {
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names.add("");
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for (int index = s.getStart(); index < s.getEnd(); index++) {
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names.set(k, names.get(k) + tokens[index]);
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}
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k++;
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}
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assertThat(names).contains("John","Leonard","Penny");
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}
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}
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package com.baeldung.apache.opennlp;
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import java.io.InputStream;
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import opennlp.tools.postag.POSModel;
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import opennlp.tools.postag.POSTaggerME;
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import opennlp.tools.tokenize.SimpleTokenizer;
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import static org.assertj.core.api.Assertions.assertThat;
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import org.junit.Test;
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public class POSTaggerUnitTest {
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@Test
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public void givenPOSModel_whenPOSTagging_thenPOSAreDetected() throws Exception {
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SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE;
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String[] tokens = tokenizer.tokenize("John has a sister named Penny.");
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InputStream inputStreamPOSTagger = getClass().getResourceAsStream("/models/en-pos-maxent.bin");
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POSModel posModel = new POSModel(inputStreamPOSTagger);
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POSTaggerME posTagger = new POSTaggerME(posModel);
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String tags[] = posTagger.tag(tokens);
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assertThat(tags).contains("NNP", "VBZ", "DT", "NN", "VBN", "NNP", ".");
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}
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}
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package com.baeldung.apache.opennlp;
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import java.io.InputStream;
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import opennlp.tools.sentdetect.SentenceDetectorME;
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import opennlp.tools.sentdetect.SentenceModel;
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import static org.assertj.core.api.Assertions.assertThat;
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import org.junit.Test;
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public class SentenceDetectionUnitTest {
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@Test
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public void givenEnglishModel_whenDetect_thenSentencesAreDetected() throws Exception {
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String paragraph = "This is a statement. This is another statement. Now is an abstract word for time, "
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+ "that is always flying. And my email address is google@gmail.com.";
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InputStream is = getClass().getResourceAsStream("/models/en-sent.bin");
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SentenceModel model = new SentenceModel(is);
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SentenceDetectorME sdetector = new SentenceDetectorME(model);
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String sentences[] = sdetector.sentDetect(paragraph);
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assertThat(sentences).contains("This is a statement.",
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"This is another statement.",
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"Now is an abstract word for time, that is always flying.",
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"And my email address is google@gmail.com.");
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}
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}
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package com.baeldung.apache.opennlp;
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import java.io.InputStream;
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import opennlp.tools.tokenize.SimpleTokenizer;
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import opennlp.tools.tokenize.TokenizerME;
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import opennlp.tools.tokenize.TokenizerModel;
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import opennlp.tools.tokenize.WhitespaceTokenizer;
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import static org.assertj.core.api.Assertions.assertThat;
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import org.junit.Test;
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public class TokenizerUnitTest {
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@Test
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public void givenEnglishModel_whenTokenize_thenTokensAreDetected() throws Exception {
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InputStream inputStream = getClass().getResourceAsStream("/models/en-token.bin");
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TokenizerModel model = new TokenizerModel(inputStream);
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TokenizerME tokenizer = new TokenizerME(model);
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String[] tokens = tokenizer.tokenize("Baeldung is a Spring Resource.");
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assertThat(tokens).contains("Baeldung", "is", "a", "Spring", "Resource", ".");
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}
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@Test
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public void givenWhitespaceTokenizer_whenTokenize_thenTokensAreDetected() throws Exception {
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WhitespaceTokenizer tokenizer = WhitespaceTokenizer.INSTANCE;
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String[] tokens = tokenizer.tokenize("Baeldung is a Spring Resource.");
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assertThat(tokens).contains("Baeldung", "is", "a", "Spring", "Resource.");
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}
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@Test
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public void givenSimpleTokenizer_whenTokenize_thenTokensAreDetected() throws Exception {
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SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE;
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String[] tokens = tokenizer.tokenize("Baeldung is a Spring Resource.");
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assertThat(tokens).contains("Baeldung", "is", "a", "Spring", "Resource", ".");
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}
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}
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