code: def count_normalize():
      total_count = 0
      normalized_count = 0
      with open(TOKENS_ANALYSE_FILE) as f:
          for line in f:
              total_count += 1
              word, freq = line.split("\t\t")
              freq = freq.strip()
              print(word, ":", freq)
              if text_normalize(word) == word:
                  normalized_count += 1
              else:
                  print("NORMALIZE")
      print("Total words: ", total_count)
      print("Normalized words: ", normalized_count)
  
file_path: underthesea/examples/text_normalize/normalize.py
imports: from datetime import datetime
  from os.path import join
  from underthesea import text_normalize
  from underthesea.file_utils import UNDERTHESEA_FOLDER
  from underthesea.pipeline.word_tokenize import tokenize
label_desc: Use image node_id 3 for calling a global function with example usage: count_normalize() without return types