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Lucene example source code file (TestPortugueseStemFilter.java)

This example Lucene source code file (TestPortugueseStemFilter.java) is included in the DevDaily.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Java - Lucene tags/keywords

analyzer, io, ioexception, ioexception, override, portuguesestemfilter, reader, reader, reusableanalyzerbase, standardtokenizer, string, testportuguesestemfilter, tokenizer, tokenstreamcomponents, tokenstreamcomponents

The Lucene TestPortugueseStemFilter.java source code

package org.apache.lucene.analysis.pt;

 * 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,
 * See the License for the specific language governing permissions and
 * limitations under the License.

import static org.apache.lucene.analysis.VocabularyAssert.assertVocabulary;

import java.io.IOException;
import java.io.Reader;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.LowerCaseFilter;
import org.apache.lucene.analysis.standard.StandardTokenizer;
import org.apache.lucene.analysis.ReusableAnalyzerBase;

 * Simple tests for {@link PortugueseStemFilter}
public class TestPortugueseStemFilter extends BaseTokenStreamTestCase {
  private Analyzer analyzer = new ReusableAnalyzerBase() {
    protected TokenStreamComponents createComponents(String fieldName,
        Reader reader) {
      Tokenizer source = new StandardTokenizer(TEST_VERSION_CURRENT, reader);
      TokenStream result = new LowerCaseFilter(TEST_VERSION_CURRENT, source);
      return new TokenStreamComponents(source, new PortugueseStemFilter(result));
   * Test the example from the paper "Assessing the impact of stemming accuracy
   * on information retrieval"
  public void testExamples() throws IOException {
    "O debate político, pelo menos o que vem a público, parece, de modo nada "
    + "surpreendente, restrito a temas menores. Mas há, evidentemente, "
    + "grandes questões em jogo nas eleições que se aproximam.",
    new String[] { 
      "o", "debat", "politic", "pel", "menos", "o", "que", "vem", "a", 
      "public", "parec", "de", "mod", "nad", "surpreend", "restrit",
      "a", "tem", "men", "mas", "ha", "evid", "grand", "quest",
      "em", "jog", "na", "eleic", "que", "se", "aproxim"
  /** Test against a vocabulary from the reference impl */
  public void testVocabulary() throws IOException {
    assertVocabulary(analyzer, getDataFile("ptrslptestdata.zip"), "ptrslp.txt");
  /** blast some random strings through the analyzer */
  public void testRandomStrings() throws Exception {
    checkRandomData(random, analyzer, 10000*RANDOM_MULTIPLIER);

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