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 batch_split_words(self, sentences):
      return [
          _remove_spaces(tokens)
          for tokens in self.spacy.pipe(sentences, n_threads=-1)
      ]
  
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 2 for calling the SpacyWordSplitter obj's underlying member method code with example usage: obj.batch_split_words(sentences) and returns: unknown