Example usage for opennlp.tools.ngram NGramGenerator generate

Introduction

In this page you can find the example usage for opennlp.tools.ngram NGramGenerator generate.

Prototype

public static List<String> generate(char[] input, int n, String separator) 

Source Link

Document

Generates an nGram based on a char[] input

Usage

From source file:opennlp.tools.languagemodel.NgramLanguageModelTest.java

@Test
public void testTrigramLanguageModelCreationFromText() throws Exception {
    int ngramSize = 3;
    NGramLanguageModel languageModel = new NGramLanguageModel(ngramSize);
    InputStream stream = getClass().getResourceAsStream("/opennlp/tools/languagemodel/sentences.txt");
    for (String line : IOUtils.readLines(stream)) {
        String[] array = line.split(" ");
        List<String> split = Arrays.asList(array);
        List<String> generatedStrings = NGramGenerator.generate(split, ngramSize, " ");
        for (String generatedString : generatedStrings) {
            String[] tokens = generatedString.split(" ");
            if (tokens.length > 0) {
                languageModel.add(new StringList(tokens), 1, ngramSize);
            }/*w  ww . ja v a 2 s  .  c  om*/
        }
    }
    StringList tokens = languageModel.predictNextTokens(new StringList("neural", "network", "language"));
    Assert.assertNotNull(tokens);
    Assert.assertEquals(new StringList("models"), tokens);
    double p1 = languageModel.calculateProbability(new StringList("neural", "network", "language", "models"));
    double p2 = languageModel.calculateProbability(new StringList("neural", "network", "language", "model"));
    Assert.assertTrue(p1 > p2);
}

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