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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.parser.common;

import java.util.List;

import edu.stanford.nlp.ling.CoreAnnotation;
import edu.stanford.nlp.util.ErasureUtils;

/**
 * Parse time options for the Stanford lexicalized parser.  For
 * example, you can set a ConstraintAnnotation and the parser
 * annotator will extract that annotation and apply the constraints
 * when parsing.
 */

public class ParserAnnotations {
  
  private ParserAnnotations() {} // only static members



  /**
   * This CoreMap key represents a regular expression which the parser
   * will try to match when assigning tags.
   *
   * This key is typically set on token annotations.
   */
  public static class CandidatePartOfSpeechAnnotation implements CoreAnnotation {
    public Class getType() {
      return String.class;
    }
  }

  /**
   * The CoreMap key for getting a list of constraints to apply when parsing.
   */
  public static class ConstraintAnnotation 
    implements CoreAnnotation> 
  {
    public Class> getType() {
      return ErasureUtils.>> uncheckedCast(List.class);
    }
  }


}