class_docstr: A ``WordSplitter`` that uses spaCy's tokenizer.  It's fast and reasonable - this is the
  recommended ``WordSplitter``.
class_docstr_tok: ["A","``","WordSplitter","``","that","uses","spaCy","'s","tokenizer",".","It","'s","fast","and","reasonable","-","this","is","the","recommended","``","WordSplitter","``","."]
code: def __init__(
      self,
      language="en_core_web_sm",
      pos_tags=False,
      parse=False,
      ner=False,
  ):
      self.spacy = get_spacy_model(language, pos_tags, parse, ner)
  
imports: from __future__ import absolute_import
  import re
  import spacy
  from allennlp.common import Registrable
  from allennlp.common.util import get_spacy_model
  from allennlp.data.tokenizers.token import Token
label_desc: Use image node_id 1 to create a new SpacyWordSplitter object from inherited base classes: WordSplitter with example: obj = SpacyWordSplitter(language, pos_tags, parse, ner)