content: package edu.berkeley.nlp.lm;
  
  import java.io.Serializable;
  import java.util.ArrayList;
  import java.util.List;
  import java.util.Random;
  
  import edu.berkeley.nlp.lm.collections.Counter;
  
  /**
   * Default implementation of all NGramLanguageModel functionality except
   * {@link #getLogProb(int[], int, int)}.
   * 
   * 
   * 
   * @author adampauls
   * 
   * @param <W>
   */
  public abstract class AbstractArrayEncodedNgramLanguageModel<W> extends AbstractNgramLanguageModel<W> implements ArrayEncodedNgramLanguageModel<W>,
  	Serializable
  {
  
  	/**
  	 * 
  	 */
  	private static final long serialVersionUID = 1L;
  
  	public AbstractArrayEncodedNgramLanguageModel(final int lmOrder, final WordIndexer<W> wordIndexer, final float oovWordLogProb) {
  		super(lmOrder, wordIndexer, oovWordLogProb);
  	}
  
  	@Override
  	public float scoreSentence(final List<W> sentence) {
  		return ArrayEncodedNgramLanguageModel.DefaultImplementations.scoreSentence(sentence, this);
  	}
  
  	@Override
  	public float getLogProb(final List<W> phrase) {
  		return ArrayEncodedNgramLanguageModel.DefaultImplementations.getLogProb(phrase, this);
  	}
  
  	@Override
  	public float getLogProb(final int[] ngram) {
  		return ArrayEncodedNgramLanguageModel.DefaultImplementations.getLogProb(ngram, this);
  	}
  
  	@Override
  	public abstract float getLogProb(final int[] ngram, int startPos, int endPos);
  	
  	
  
  
  }
  