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-rw-r--r--gi/posterior-regularisation/prjava/src/phrase/Agree2Sides.java197
1 files changed, 0 insertions, 197 deletions
diff --git a/gi/posterior-regularisation/prjava/src/phrase/Agree2Sides.java b/gi/posterior-regularisation/prjava/src/phrase/Agree2Sides.java
deleted file mode 100644
index 031f887f..00000000
--- a/gi/posterior-regularisation/prjava/src/phrase/Agree2Sides.java
+++ /dev/null
@@ -1,197 +0,0 @@
-package phrase;
-
-import gnu.trove.TIntArrayList;
-
-import io.FileUtil;
-
-import java.io.File;
-import java.io.IOException;
-import java.io.PrintStream;
-import java.util.List;
-
-import phrase.Corpus.Edge;
-
-public class Agree2Sides {
- PhraseCluster model1,model2;
- Corpus c1,c2;
- private int K;
-
- /**@brief sum of loglikelihood of two
- * individual models
- */
- public double llh;
- /**@brief Bhattacharyya distance
- *
- */
- public double bdist;
- /**
- *
- * @param numCluster
- * @param corpus
- */
- public Agree2Sides(int numCluster, Corpus corpus1 , Corpus corpus2 ){
-
- model1=new PhraseCluster(numCluster, corpus1);
- model2=new PhraseCluster(numCluster,corpus2);
- c1=corpus1;
- c2=corpus2;
- K=numCluster;
-
- }
-
- /**@brief test
- *
- */
- public static void main(String args[]){
- //String in="../pdata/canned.con";
- // String in="../pdata/btec.con";
- String in1="../pdata/source.txt";
- String in2="../pdata/target.txt";
- String out="../pdata/posterior.out";
- int numCluster=25;
- Corpus corpus1 = null,corpus2=null;
- File infile1 = new File(in1),infile2=new File(in2);
- try {
- System.out.println("Reading concordance from " + infile1);
- corpus1 = Corpus.readFromFile(FileUtil.reader(infile1));
- System.out.println("Reading concordance from " + infile2);
- corpus2 = Corpus.readFromFile(FileUtil.reader(infile2));
- corpus1.printStats(System.out);
- } catch (IOException e) {
- System.err.println("Failed to open input file: " + infile1);
- e.printStackTrace();
- System.exit(1);
- }
-
- Agree2Sides agree=new Agree2Sides(numCluster, corpus1,corpus2);
- int iter=20;
- for(int i=0;i<iter;i++){
- agree.EM();
- System.out.println("Iter"+i+", llh: "+agree.llh+
- ", divergence:"+agree.bdist+
- " sum: "+(agree.llh+agree.bdist));
- }
-
- File outfile = new File (out);
- try {
- PrintStream ps = FileUtil.printstream(outfile);
- agree.displayPosterior(ps);
- // ps.println();
- // c2f.displayModelParam(ps);
- ps.close();
- } catch (IOException e) {
- System.err.println("Failed to open output file: " + outfile);
- e.printStackTrace();
- System.exit(1);
- }
-
- }
-
- public double EM(){
-
- double [][][]exp_emit1=new double [K][c1.getNumContextPositions()][c1.getNumWords()];
- double [][]exp_pi1=new double[c1.getNumPhrases()][K];
-
- double [][][]exp_emit2=new double [K][c2.getNumContextPositions()][c2.getNumWords()];
- double [][]exp_pi2=new double[c2.getNumPhrases()][K];
-
- llh=0;
- bdist=0;
- //E
- for(int i=0;i<c1.getEdges().size();i++){
- Edge edge1=c1.getEdges().get(i);
- Edge edge2=c2.getEdges().get(i);
- double p[]=posterior(i);
- double z = arr.F.l1norm(p);
- assert z > 0;
- bdist += edge1.getCount() * Math.log(z);
- arr.F.l1normalize(p);
- double count = edge1.getCount();
- //increment expected count
- TIntArrayList contextToks1 = edge1.getContext();
- TIntArrayList contextToks2 = edge2.getContext();
- int phrase1=edge1.getPhraseId();
- int phrase2=edge2.getPhraseId();
- for(int tag=0;tag<K;tag++){
- for(int position=0;position<c1.getNumContextPositions();position++){
- exp_emit1[tag][position][contextToks1.get(position)]+=p[tag]*count;
- }
- for(int position=0;position<c2.getNumContextPositions();position++){
- exp_emit2[tag][position][contextToks2.get(position)]+=p[tag]*count;
- }
- exp_pi1[phrase1][tag]+=p[tag]*count;
- exp_pi2[phrase2][tag]+=p[tag]*count;
- }
- }
-
- //System.out.println("Log likelihood: "+loglikelihood);
-
- //M
- for(double [][]i:exp_emit1){
- for(double []j:i){
- arr.F.l1normalize(j);
- }
- }
-
- for(double []j:exp_pi1){
- arr.F.l1normalize(j);
- }
-
- for(double [][]i:exp_emit2){
- for(double []j:i){
- arr.F.l1normalize(j);
- }
- }
-
- for(double []j:exp_pi2){
- arr.F.l1normalize(j);
- }
-
- model1.emit=exp_emit1;
- model1.pi=exp_pi1;
- model2.emit=exp_emit2;
- model2.pi=exp_pi2;
-
- return llh;
- }
-
- public double[] posterior(int edgeIdx)
- {
- return posterior(c1.getEdges().get(edgeIdx), c2.getEdges().get(edgeIdx));
- }
-
- public double[] posterior(Edge e1, Edge e2)
- {
- double[] prob1=model1.posterior(e1);
- double[] prob2=model2.posterior(e2);
-
- llh+=e1.getCount()*Math.log(arr.F.l1norm(prob1));
- llh+=e2.getCount()*Math.log(arr.F.l1norm(prob2));
- arr.F.l1normalize(prob1);
- arr.F.l1normalize(prob2);
-
- for(int i=0;i<prob1.length;i++){
- prob1[i]*=prob2[i];
- prob1[i]=Math.sqrt(prob1[i]);
- }
-
- return prob1;
- }
-
- public void displayPosterior(PrintStream ps)
- {
- for (int i=0;i<c1.getEdges().size();i++)
- {
- Edge edge=c1.getEdges().get(i);
- double probs[] = posterior(i);
- arr.F.l1normalize(probs);
-
- // emit phrase
- ps.print(edge.getPhraseString());
- ps.print("\t");
- ps.print(edge.getContextString(true));
- int t=arr.F.argmax(probs);
- ps.println(" ||| C=" + t);
- }
- }
-}