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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.Function;

/**
 * A word function that can be applied to Chinese text in the tagger
 * or similar systems to make it treat ( and （ the same.
 * That is, it maps regular ASCII-range printable characters to their
 * full-width equivalents
 *
 * @author John Bauer
 */
public class UTF8EquivalenceFunction implements Function, Serializable {

  public static String replaceAscii(String w) {
    return StringUtils.tr(w,
                          "!\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~",
                          "\uFF01\uFF02\uFF03\uFF04\uFF05\uFF06\uFF07\uFF08\uFF09\uFF0A\uFF0B\uFF0C\uFF0D\uFF0E\uFF0F\uFF10\uFF11\uFF12\uFF13\uFF14\uFF15\uFF16\uFF17\uFF18\uFF19\uFF1A\uFF1B\uFF1C\uFF1D\uFF1E\uFF1F\uFF20\uFF21\uFF22\uFF23\uFF24\uFF25\uFF26\uFF27\uFF28\uFF29\uFF2A\uFF2B\uFF2C\uFF2D\uFF2E\uFF2F\uFF30\uFF31\uFF32\uFF33\uFF34\uFF35\uFF36\uFF37\uFF38\uFF39\uFF3A\uFF3B\uFF3C\uFF3D\uFF3E\uFF3F\uFF40\uFF41\uFF42\uFF43\uFF44\uFF45\uFF46\uFF47\uFF48\uFF49\uFF4A\uFF4B\uFF4C\uFF4D\uFF4E\uFF4F\uFF50\uFF51\uFF52\uFF53\uFF54\uFF55\uFF56\uFF57\uFF58\uFF59\uFF5A\uFF5B\uFF5C\uFF5D\uFF5E");
  }

  @Override
  public String apply(String input) {
    if (input == null) {
      return null;
    } else if (input.equals(".$.") || input.equals(".$$.")) {
      return input;
    } else {
      return replaceAscii(input);
    }
  }

  private static final long serialVersionUID = 1L;

}