new_contents: # coding: utf8
  from __future__ import unicode_literals
  
  
  # These exceptions are used to add NORM values based on a token's ORTH value.
  # Individual languages can also add their own exceptions and overwrite them -
  # for example, British vs. American spelling in English.
  
  # Norms are only set if no alternative is provided in the tokenizer exceptions.
  # Note that this does not change any other token attributes. Its main purpose
  # is to normalise the word representations so that equivalent tokens receive
  # similar representations. For example: $ and € are very different, but they're
  # both currency symbols. By normalising currency symbols to $, all symbols are
  # seen as similar, no matter how common they are in the training data.
  
  
  BASE_NORMS = {
      "'s": "'s",
      "'S": "'s",
      "’s": "'s",
      "’S": "'s",
      "’": "'",
      "‘": "'",
      "´": "'",
      "`": "'",
      "”": '"',
      "“": '"',
      "''": '"',
      "``": '"',
      "´´": '"',
      "„": '"',
      "»": '"',
      "«": '"',
      "…": "...",
      "—": "-",
      "–": "-",
      "--": "-",
      "---": "-",
      "€": "$",
      "£": "$",
      "¥": "$",
      "฿": "$",
      "US$": "$",
      "C$": "$",
      "A$": "$"
  }
  
subject: Add base norm exceptions