Java Code Examples for opennlp.tools.tokenize.SimpleTokenizer#tokenize()
The following examples show how to use
opennlp.tools.tokenize.SimpleTokenizer#tokenize() .
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Example 1
Source File: LemmetizerUnitTest.java From tutorials with MIT License | 6 votes |
@Test public void givenEnglishDictionary_whenLemmatize_thenLemmasAreDetected() throws Exception { SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE; String[] tokens = tokenizer.tokenize("John has a sister named Penny."); InputStream inputStreamPOSTagger = getClass().getResourceAsStream("/models/en-pos-maxent.bin"); POSModel posModel = new POSModel(inputStreamPOSTagger); POSTaggerME posTagger = new POSTaggerME(posModel); String tags[] = posTagger.tag(tokens); InputStream dictLemmatizer = getClass().getResourceAsStream("/models/en-lemmatizer.dict"); DictionaryLemmatizer lemmatizer = new DictionaryLemmatizer(dictLemmatizer); String[] lemmas = lemmatizer.lemmatize(tokens, tags); assertThat(lemmas).contains("O", "have", "a", "sister", "name", "O", "O"); }
Example 2
Source File: NamedEntityRecognitionUnitTest.java From tutorials with MIT License | 6 votes |
@Test public void givenEnglishPersonModel_whenNER_thenPersonsAreDetected() throws Exception { SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE; String[] tokens = tokenizer.tokenize("John is 26 years old. His best friend's name is Leonard. He has a sister named Penny."); InputStream inputStreamNameFinder = getClass().getResourceAsStream("/models/en-ner-person.bin"); TokenNameFinderModel model = new TokenNameFinderModel(inputStreamNameFinder); NameFinderME nameFinderME = new NameFinderME(model); List<Span> spans = Arrays.asList(nameFinderME.find(tokens)); assertThat(spans.toString()).isEqualTo("[[0..1) person, [13..14) person, [20..21) person]"); List<String> names = new ArrayList<String>(); int k = 0; for (Span s : spans) { names.add(""); for (int index = s.getStart(); index < s.getEnd(); index++) { names.set(k, names.get(k) + tokens[index]); } k++; } assertThat(names).contains("John","Leonard","Penny"); }
Example 3
Source File: ChunkerUnitTest.java From tutorials with MIT License | 6 votes |
@Test public void givenChunkerModel_whenChunk_thenChunksAreDetected() throws Exception { SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE; String[] tokens = tokenizer.tokenize("He reckons the current account deficit will narrow to only 8 billion."); InputStream inputStreamPOSTagger = getClass().getResourceAsStream("/models/en-pos-maxent.bin"); POSModel posModel = new POSModel(inputStreamPOSTagger); POSTaggerME posTagger = new POSTaggerME(posModel); String tags[] = posTagger.tag(tokens); InputStream inputStreamChunker = new FileInputStream("src/main/resources/models/en-chunker.bin"); ChunkerModel chunkerModel = new ChunkerModel(inputStreamChunker); ChunkerME chunker = new ChunkerME(chunkerModel); String[] chunks = chunker.chunk(tokens, tags); 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"); }
Example 4
Source File: Chapter2.java From Natural-Language-Processing-with-Java-Second-Edition with MIT License | 5 votes |
private static void usingTheSimpleTokenizerClass() { System.out.println("--- SimpleTokenizer"); SimpleTokenizer simpleTokenizer = SimpleTokenizer.INSTANCE; String tokens[] = simpleTokenizer.tokenize(paragraph); for (String token : tokens) { System.out.println(token); } }
Example 5
Source File: Chapter2.java From Natural-Language-Processing-with-Java-Second-Edition with MIT License | 5 votes |
private static void usingStopWordsClassExample() { StopWords stopWords = new StopWords("stopwords.txt"); SimpleTokenizer simpleTokenizer = SimpleTokenizer.INSTANCE; paragraph = "A simple approach is to create a class " + "to hold and remove stopwords."; String tokens[] = simpleTokenizer.tokenize(paragraph); String list[] = stopWords.removeStopWords(tokens); for (String word : list) { System.out.println(word); } stopWords.displayStopWords(); }
Example 6
Source File: Chapter7.java From Natural-Language-Processing-with-Java-Second-Edition with MIT License | 5 votes |
private static List<President> createPresidentList() { ArrayList<President> list = new ArrayList<>(); String line = null; try (FileReader reader = new FileReader("PresidentList"); BufferedReader br = new BufferedReader(reader)) { while ((line = br.readLine()) != null) { SimpleTokenizer simpleTokenizer = SimpleTokenizer.INSTANCE; String tokens[] = simpleTokenizer.tokenize(line); String name = ""; String start = ""; String end = ""; int i = 0; while (!"(".equals(tokens[i])) { name += tokens[i] + " "; i++; } start = tokens[i + 1]; end = tokens[i + 3]; if (end.equalsIgnoreCase("present")) { end = start; } list.add(new President(name, Integer.parseInt(start), Integer.parseInt(end))); } } catch (IOException ex) { ex.printStackTrace(); } return list; }
Example 7
Source File: POSTaggerUnitTest.java From tutorials with MIT License | 5 votes |
@Test public void givenPOSModel_whenPOSTagging_thenPOSAreDetected() throws Exception { SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE; String[] tokens = tokenizer.tokenize("John has a sister named Penny."); InputStream inputStreamPOSTagger = getClass().getResourceAsStream("/models/en-pos-maxent.bin"); POSModel posModel = new POSModel(inputStreamPOSTagger); POSTaggerME posTagger = new POSTaggerME(posModel); String tags[] = posTagger.tag(tokens); assertThat(tags).contains("NNP", "VBZ", "DT", "NN", "VBN", "NNP", "."); }
Example 8
Source File: TokenizerUnitTest.java From tutorials with MIT License | 4 votes |
@Test public void givenSimpleTokenizer_whenTokenize_thenTokensAreDetected() throws Exception { SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE; String[] tokens = tokenizer.tokenize("Baeldung is a Spring Resource."); assertThat(tokens).contains("Baeldung", "is", "a", "Spring", "Resource", "."); }