Package edu.umd.hooka.ttables

Examples of edu.umd.hooka.ttables.TTable_monolithic

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  HMM hmm;
  public void testHMM() {
    ATable at = new ATable(true, 1, 5);
    int[] e1 = {-1,0,3,6};
    int[]ef = {1,2,3,1,2,3};
    TTable_monolithic tt = new TTable_monolithic(e1, ef, 4);
    tt.set(1, 1, 0.1f);
    tt.set(1, 2, 0.7f);
    tt.set(1, 3, 0.2f);
    tt.set(2, 1, 0.5f);
    tt.set(2, 2, 0.4f);
    tt.set(2, 3, 0.1f);
    /*
    at.add(1, 999, 0.8f);
    at.add(0, 999, 0.2f);
    at.add(-1, 999, 0.4f);
    at.add(-2, 999, 0.2f);*/
    at.normalize();
    // System.out.println(at);
    int[] fw = {2, 1, 2, 3};
    //int[] fw = {2, 1, 2};
    int[] ew = {1, 2, 1};
    Phrase f = new Phrase(fw, 1);
    Phrase e = new Phrase(ew, 1);
    PhrasePair pp = new PhrasePair(f, e);
    hmm = new HMM(tt, at);
    hmm.buildHMMTables(pp);
    hmm.baumWelch(pp, null);
    TTable_monolithic tc = (TTable_monolithic)tt.clone(); tc.clear();
    ATable ac = (ATable)at.clone(); ac.clear();
    hmm.addPartialTranslationCountsToTTable(tc);
    hmm.addPartialJumpCountsToATable(ac);
    System.out.println("COUNTS:\n" + tc);
    tc.normalize();
    ac.normalize();
    System.out.println("OLD:\n" + at);
    System.out.println("NEW:\n" + ac);
    System.out.println("\nnew:\n"+tc);
    //if (true) return;
    PerplexityReporter cr = new PerplexityReporter();
    Alignment a = hmm.viterbiAlign(pp, cr);
    double ce1 = cr.getCrossEntropy();
    System.out.println(a.toStringVisual() + "\n"+cr);
    assertTrue(a.aligned(0, 0));
    System.out.println(hmm.backtrace);
    hmm = new HMM(tc, ac);
    hmm.buildHMMTables(pp);
    cr.reset();
    a = hmm.viterbiAlign(pp, cr);
    double ce2 = cr.getCrossEntropy();
    // perplexity should decrease!
    assertTrue(ce1 > ce2);
    assert(tc.get(1,1) > 0.0f);
    System.out.println(a.toStringVisual() + "\n" + cr + "\nPG::\n" + hmm.computeAlignmentPosteriors(pp));
    assertEquals(a.getELength(), e.size());
    assertEquals(a.getFLength(), f.size());
  }
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  public void testHMM2() {
    ATable at = new ATable(true, 1, 5);
    int[] e1 = {-1,0,2,4};
    int[]ef = {1,2,1,2};
    TTable_monolithic tt = new TTable_monolithic(e1, ef, 4);
    tt.set(1, 1, 0.3f);
    tt.set(1, 2, 0.7f);
    tt.set(2, 1, 0.9f);
    tt.set(2, 2, 0.1f);
    at.add(1, 'a', 999, 0.3f);
    at.add(0, 'a', 999, 0.5f);
    at.add(-1, 'a', 999, 0.4f);
    at.add(-2, 'a', 999, 0.2f);
    at.normalize();
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  public void testUnalignable() {
    ATable at = new ATable(true, 1, 10);
    int[] e1 = {-1,0,2,4};
    int[]ef = {1,2,1,2};
    TTable_monolithic tt = new TTable_monolithic(e1, ef, 4);
    tt.set(1, 1, 0.2f);
    tt.set(1, 2, 0.8f);
    tt.set(2, 1, 0.9f);
    tt.set(2, 2, 0.1f);
    at.add(4, 'a', 999, 0.05f);
    at.add(3, 'a', 999, 0.05f);
    at.add(2, 'a', 999, 0.05f);
    at.add(1, 'a', 999, 0.3f);
    at.add(0, 'a', 999, 0.5f);
    at.add(-1, 'a', 999, 0.4f);
    at.add(-2, 'a', 999, 0.5f);
    at.add(-3, 'a', 999, 0.05f);
    at.add(-4, 'a', 999, 0.05f);
    at.add(-5, 'a', 999, 0.05f);
    at.normalize();
    // System.out.println(at);
    int[] fw = {2, 1, 2, 3, 2, 2, 2};
    //int[] fw = {2, 1, 2};
    int[] ew = {2, 1, 1, 1, 2};
    Phrase f = new Phrase(fw, 1);
    Phrase e = new Phrase(ew, 1);
    PhrasePair pp = new PhrasePair(f, e);
    tt.normalize();
    hmm = new HMM(tt, at);
    hmm.buildHMMTables(pp);
    PerplexityReporter cr = new PerplexityReporter();
    Alignment a = hmm.viterbiAlign(pp, cr);
    assertEquals(a.getELength(), e.size());
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  public void testNullHMM() {
    ATable at = new ATable(true, 1, 5);
    int[] e1 = {-1,0,3,6};
    int[]ef = {1,2,3,1,2,3};
    TTable_monolithic tt = new TTable_monolithic(e1, ef, 4);
    tt.set(0, 1, 0.1f);
    tt.set(0, 2, 0.1f);
    tt.set(0, 3, 0.8f);
    tt.set(1, 1, 0.3f);
    tt.set(1, 2, 0.7f);
    tt.set(2, 1, 0.9f);
    tt.set(2, 2, 0.1f);
    at.add(1, 'a', 999, 0.3f);
    at.add(0, 'a', 999, 0.5f);
    at.add(-1, 'a', 999, 0.4f);
    at.add(-2, 'a', 999, 0.2f);
    at.normalize();
    // System.out.println(at);
    int[] fw = {1, 3, 2, 1};
    //int[] fw = {2, 1, 2};
    int[] ew = {2, 1, 2};
    Phrase f = new Phrase(fw, 1);
    Phrase e = new Phrase(ew, 1);
    PhrasePair pp = new PhrasePair(f, e);
    hmm = new HMM_NullWord(tt, at, -1.0);
    hmm.buildHMMTables(pp);
    hmm.baumWelch(pp, null);
    TTable_monolithic tc = (TTable_monolithic)tt.clone(); tc.clear();
    ATable ac = (ATable)at.clone(); ac.clear();
    hmm.addPartialTranslationCountsToTTable(tc);
    hmm.addPartialJumpCountsToATable(ac);
    System.out.println("COUNTS:\n" + tc);
    tc.normalize();
    ac.normalize();
   
    PerplexityReporter cr = new PerplexityReporter();
    Alignment a = hmm.viterbiAlign(pp, cr);
    assertEquals(a.getELength(), e.size());
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  @Test
  public void testModel1() {
    int[] e1 = {-1,0,2,4};
    int[]ef = {1,2,1,2};
    TTable_monolithic tt = new TTable_monolithic(e1, ef, 4);
    tt.set(1, 1, 0.2f);
    tt.set(1, 2, 0.8f);
    tt.set(2, 1, 0.9f);
    tt.set(2, 2, 0.1f);
    tt.set(0, 1, 0.5f);
    tt.set(0, 2, 0.5f);
    Model1 m1 = new Model1(tt, false);
    int[] fw = {2, 1, 2, 2};
    //int[] fw = {2, 1, 2};
    int[] ew = {2, 1};
    PhrasePair pp = new PhrasePair(new Phrase(fw, 2), new Phrase(ew, 1));
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Related Classes of edu.umd.hooka.ttables.TTable_monolithic

  • edu.umd.hooka.alignment.hmm.HMMTest
  • edu.umd.hooka.alignment.IndexedFloatArray
  • edu.umd.hooka.alignment.model1.Model1Test
  • java.nio.ByteBuffer
  • java.nio.FloatBuffer
  • java.nio.IntBuffer
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