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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);
}
}
}
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