                     "Part-of-speech tags are required for parsing.")
              raise ValueError(msg)
          tokens = self.tokenizer(text)
          if parse == -1 and tag == False:
              parse = False
          elif parse == -1 and not self.has_parser_model:
              parse = False
          if entity == -1 and tag == False:
 
</s> remove             msg = ("Receive parse=True, but parser model not found.\n\n"
 </s> add             msg = ("Received parse=True, but parser model not found.\n\n"
                  "Run:\n"
                  "$ python -m spacy.en.download\n"
                  "To install the model.")
            raise IOError(msg)
        if entity == True and not self.has_entity_model:
            msg = ("Received entity=True, but entity model not found.\n\n"
        if entity == True and tag == False:
            msg = ("Incompatible arguments: tag=False, entity=True"
                   "Part-of-speech tags are required for entity recognition.")
            raise ValueError(msg)

                     "Part-of-speech tags are required for parsing.")
              raise ValueError(msg)
        if entity == True and tag == False:
            msg = ("Incompatible arguments: tag=False, entity=True"
                   "Part-of-speech tags are required for entity recognition.")
            raise ValueError(msg)

          tokens = self.tokenizer(text)
          if parse == -1 and tag == False:
              parse = False
          elif parse == -1 and not self.has_parser_model:
              parse = False
          if entity == -1 and tag == False:
keep add keep keep keep keep keep keep
 * Prepare English class for NER 
spacy/en/__init__.py