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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.

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package edu.stanford.nlp.trees.international.spanish;

import java.io.Reader;
import java.io.Serializable;

import edu.stanford.nlp.trees.LabeledScoredTreeFactory;
import edu.stanford.nlp.trees.PennTreebankTokenizer;
import edu.stanford.nlp.trees.PennTreeReader;
import edu.stanford.nlp.trees.TreeReader;
import edu.stanford.nlp.trees.TreeReaderFactory;

/**
 * A class for reading Spanish AnCora trees that have been converted
 * from XML to PTB format.
 *
 * @author Jon Gauthier
 * @author Spence Green (original French version)
 */
public class SpanishTreeReaderFactory implements TreeReaderFactory, Serializable {

  // TODO
  private static final long serialVersionUID = 8L;

  public TreeReader newTreeReader(Reader in) {
    return new PennTreeReader(in, new LabeledScoredTreeFactory(),
                              new SpanishTreeNormalizer(false, false, false),
                              new PennTreebankTokenizer(in));
  }

}