class_docstr: Jieba+BPE, and convert tokens to ids.
code: def tokenize(self, text):
      bpe_str = self.bpe.process_line(text)
      ids = self.src_vocab.to_indices(bpe_str.split())
      return bpe_str.split(), ids
  
file_path: PaddleHub/modules/text/simultaneous_translation/stacl/transformer_nist_wait_all/processor.py
imports: import paddle
  from paddlenlp.data import Vocab
  from subword_nmt import subword_nmt
label_desc: Use image node_id 2 for calling the STACLTokenizer obj's underlying member method code with example usage: obj.tokenize(text) and returns: bpe_str,  ids