public HashMap<Integer, ArrayList<Double>>  createFeatureMatrix(int vocabSize,int embeddingDimension) throws NullPointerException
	/*
	 *Weight vector for each of the word is initialized here. 
	 */
	{
		HashMap<Integer, ArrayList<Double>>  featureMatrix = new HashMap<Integer, ArrayList<Double>>();
		for(int i =0 ; i< vocabSize; i++){
			featureMatrix.put(i,wordFeauture(embeddingDimension));	
		}
		return featureMatrix;
	}//end of createFeatureMatrix



private ArrayList<Double> wordFeauture(int a) {
		Double ranVal;
		Random rand = new Random();
		ArrayList<Double> arrList = new ArrayList<Double>();
		for(int i =0 ; i< a; i++){
			ranVal = rand.nextGaussian();
			arrList.add(ranVal);
		}
		return arrList;
	}


   private ArrayList<Double> getContextFeatureVector(ArrayList<String> Ngram,HashMap<String,Integer > FrequentWordIndex,
    		                                  HashMap<Integer, ArrayList<Double> > wordFeatureMatrix) throws NullPointerException 	                                                                  
    /*INPUT  :Ngram, Vocabulary Index 
     *RETURNS:Feature Vector of context of given N-gram.
     */
    {   
    	int contextSize = Ngram.size()-1;
    	System.out.println("getContextFeatureVector: Context Size:"+ contextSize);
    	System.out.println(Ngram);
    	ArrayList<Double> contextFeature = new ArrayList<Double>();
    	contextFeature =wordFeatureMatrix.get(FrequentWordIndex.get(Ngram.get(0).toLowerCase()));
    	System.out.println(Ngram.get(0));
    	//System.out.println(contextFeature);
    	
    	for(int i =1 ; i < contextSize; i++){
    		//ArrayList<Double> arrList = new ArrayList<Double>();
    		System.out.println(Ngram.get(i));
    		//arrList = wordFeatureMatrix.get(FrequentWordIndex.get(Ngram.get(i).toLowerCase()));
    		System.out.println(wordFeatureMatrix.get(FrequentWordIndex.get(Ngram.get(i).toLowerCase())).size());
    		//System.out.println("getContextFeatureVector:feature vector:"+arrList);
    		//System.out.println("getContextFeatureVector:feature vector size:"+arrList.size());
    		 //contextFeature.addAll(wordFeatureMatrix.get(FrequentWordIndex.get(Ngram.get(i).toLowerCase())));
    		//System.out.println("getContextFeatureVector:context vector size:"+contextFeature.size());
    	}
    	//System.out.println(contextFeature);
    	System.out.println("Size of context Feature"+contextFeature.size());
    	return contextFeature;
    }