class_docstr: Calls sent_tokenize for greek text, which doesn't split sentences
  on the english semicolon ';' (U+003B - https://unicode-table.com/en/003B/)
  or the greek question mark ';' (U+037E - https://unicode-table.com/en/037E/).
  The regex below splits on both characters while retaining them in the sentence.
  This follows the logic of sent_tokenize().
  Regexpr Explanation:
      (?<= -> look behind to see if there is,
      [;;] -> any of these characters in the set,
      ) end of look-behind
      {escape}s+ -> match and remove a single whitespace character one or more times.
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code: def tokenize(cls, text):
      sentences = nltk.sent_tokenize(text, language="greek")
      sentences = (
          filter(None, re.split(r"(?<=[;;])\s+", sentence))
          for sentence in sentences
      )
      return [
          sentence.strip()
          for sent_gen in sentences
          for sentence in sent_gen
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division, print_function, unicode_literals
  import re
  import string
  import zipfile
  import nltk
  from .._compat import to_string, to_unicode, unicode
  from ..utils import normalize_language
label_desc: Use image node_id 1 for calling the GreekSentencesTokenizer obj's underlying member method code with example usage: obj.tokenize(cls, text) and returns: unknown