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Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.
package edu.stanford.nlp.util.concurrent;
import java.io.IOException;
import java.io.PrintWriter;
import java.io.Writer;
import java.util.AbstractCollection;
import java.util.AbstractList;
import java.util.Collection;
import java.util.Iterator;
import java.util.List;
import java.util.RandomAccess;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.locks.ReentrantLock;
import edu.stanford.nlp.io.IOUtils;
import edu.stanford.nlp.util.Generics;
import edu.stanford.nlp.util.Index;
/**
* A fast threadsafe index that supports constant-time lookup in both directions. This
* index is tuned for circumstances in which readers significantly outnumber writers.
*
* @author Spence Green
*
* @param
*/
public class ConcurrentHashIndex extends AbstractCollection implements Index, RandomAccess {
private static final long serialVersionUID = 6465313844985269109L;
public static final int UNKNOWN_ID = -1;
private static final int DEFAULT_INITIAL_CAPACITY = 100;
private final ConcurrentHashMap item2Index;
private int indexSize;
private final ReentrantLock lock;
private final AtomicReference