class_docstr: Tokenizes at word boundary
code: def text_to_tokens(self, text):
      token_candidates = text.strip().split()
      tokens = []
      for token in token_candidates:
          if token in self.vocab:
              tokens.append(token)
          else:
              tokens.append(self.unk_token)
      return tokens
  
imports: from typing import Optional
  from nemo.collections.common.tokenizers.char_tokenizer import CharTokenizer
label_desc: Use image node_id 2 for calling the WordTokenizer obj's underlying member method code with example usage: obj.text_to_tokens(text) and returns: tokens