class_docstr: Apply the jieba tokenizer to tokenize Chinese sentences.
  
  For more details, you may refer to [jieba](https://github.com/fxsjy/jieba)
class_docstr_tok: ["Apply","the","jieba","tokenizer","to","tokenize","Chinese","sentences",".","For","more","details",",","you","may","refer","to","[","jieba","]","(","https",":","\/\/github.com\/fxsjy\/jieba",")"]
code: def __init__(self, dictionary=None, vocab: Optional[Vocab] = None):
      self._vocab = vocab
      jieba = try_import_jieba()
      self._tokenizer = jieba.Tokenizer(dictionary)
      self._tokenizer.initialize(self._tokenizer.dictionary)
  
file_path: gluon-nlp/src/gluonnlp/data/tokenizers/jieba.py
imports: from typing import Optional
  from .base import *
  from ..vocab import Vocab
  from ...utils.lazy_imports import try_import_jieba
label_desc: Use image node_id 1 to create a new JiebaTokenizer object from inherited base classes: BaseTokenizerWithVocab with example: obj = JiebaTokenizer(dictionary, vocab)