title: POS tagging and NER for Chinese Text with Spacy
body: <ul>
  <li>I am trying to print the entities and pos present in Chinese text. </li>
  <li>I have installed # !pip3 install jieba and used Google colab for the below script.</li>
  </ul>
  
  <p>But I am getting empty tuples for the entities and no results for pos_.</p>
  
  <pre class="lang-py prettyprint-override"><code>from spacy.lang.zh import Chinese
  
  nlp = Chinese()
  doc = nlp(u"蘋果公司正考量用一億元買下英國的新創公司")
  
  doc.ents
  # returns (), i.e. empty tuple
  
  
  for word in doc:
      print(word.text, word.pos_)
  
  ''' returns
  蘋果 
  公司 
  正 
  考量 
  用 
  一 
  億元 
  買 
  下 
  英國 
  的 
  新創 
  公司 
  '''
  
  </code></pre>
  
  <p>I am new to NLP. I want to know what is the correct way to do ?</p>