text: from spacy.lang.en import English
  
  nlp = English()
  
  # 处理文本
  doc = nlp(
      "In 1990, more than 60% of people in East Asia were in extreme poverty. "
      "Now less than 4% are."
  )
  
  # 遍历doc中的词符
  for token in doc:
      # 检测词符是否组成一个数字
      if token.like_num:
          # 获取文档中的下一个词符
          next_token = doc[token.i + 1]
          # 检测下一个词符的文本是否是"%"
          if next_token.text == "%":
              print("Percentage found:", token.text)
  