class_docstr: Tokenizer using segtok, a third party library dedicated to rules-based Indo-European languages.
  
  For further details see: https://github.com/fnl/segtok
class_docstr_tok: ["Tokenizer","using","segtok",",","a","third","party","library","dedicated","to","rules-based","Indo-European","languages",".","For","further","details","see",":","https",":","\/\/github.com\/fnl\/segtok"]
code: def run_tokenize(text: str) -> List[str]:
      words: List[str] = []
  
      sentences = split_single(text)
      for sentence in sentences:
          contractions = split_contractions(word_tokenizer(sentence))
          words.extend(contractions)
  
      words = list(filter(None, words))
  
      return words
  
imports: import logging
  import sys
  from abc import ABC, abstractmethod
  from typing import Callable, List
  from segtok.segmenter import split_single
  from segtok.tokenizer import split_contractions, word_tokenizer
label_desc: Use image node_id 3 for calling the SegtokTokenizer obj's underlying member method code with example usage: obj.run_tokenize(text) and returns: words