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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.util;

import java.io.Serializable;
import java.util.function.Predicate;
import java.util.regex.Pattern;

/**
 * Filters Strings based on whether they match a given regex.
 *
 * @author John Bauer
 */
public class RegexStringFilter implements Predicate, Serializable {
  final Pattern pattern;

  public RegexStringFilter(String pattern) {
    this.pattern = Pattern.compile(pattern);
  }

  public boolean test(String text) {
    return pattern.matcher(text).matches();
  }

  @Override
  public int hashCode() {
    return pattern.hashCode();
  }

  @Override
  public boolean equals(Object other) {
    if (other == this) {
      return true;
    }
    if (!(other instanceof RegexStringFilter)) {
      return false;
    }
    return ((RegexStringFilter) other).pattern.equals(pattern);
  }
  
}