/* LanguageTool, a natural language style checker
* Copyright (C) 2015 Daniel Naber (http://www.danielnaber.de)
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301
* USA
*/
package org.languagetool.languagemodel;
import org.junit.Test;
import org.languagetool.rules.ngrams.FakeLanguageModel;
import org.languagetool.rules.ngrams.Probability;
import java.io.IOException;
import java.util.Arrays;
import java.util.Collections;
import static org.hamcrest.core.Is.is;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertThat;
public class BaseLanguageModelTest {
@Test
public void testPseudoProbability() throws IOException {
try (FakeLanguageModel lm = new FakeLanguageModel()) {
Probability prob1 = lm.getPseudoProbability(Arrays.asList("no", "data", "here"));
double delta = 0.001;
assertEquals(0.0081, prob1.getProb(), delta); // artificially not zero
assertThat(prob1.getCoverage(), is(0.0f));
Probability prob2 = lm.getPseudoProbability(Arrays.asList("1", "2", "3", "4"));
assertEquals(0.0081, prob2.getProb(), delta); // artificially not zero
assertThat(prob2.getCoverage(), is(0.0f));
Probability prob3 = lm.getPseudoProbability(Arrays.asList("There", "are"));
assertEquals(0.089, prob3.getProb(), delta);
assertThat(prob3.getCoverage(), is(0.5f));
}
}
@Test(expected = IndexOutOfBoundsException.class)
public void testPseudoProbabilityFail1() throws IOException {
try (FakeLanguageModel lm = new FakeLanguageModel()) {
lm.getPseudoProbability(Collections.<String>emptyList());
}
}
}