class_docstr: Generates feature level statistics for natural language stats.
  
  A combiner that computes statistics based on the specified
  natural_language_domain.
class_docstr_tok: ["Generates","feature","level","statistics","for","natural","language","stats",".","A","combiner","that","computes","statistics","based","on","the","specified","natural_language_domain","."]
docstr: Return a fresh, empty accumulator.
  
  Returns:
    An empty accumulator.
docstr_tok: ["Return","a","fresh",",","empty","accumulator",".","Returns",":","An","empty","accumulator","."]
code: def create_accumulator(self) -> _PartialNLStats:
      """Return a fresh, empty accumulator.
  
      Returns:
        An empty accumulator.
      """
      return _PartialNLStats()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from typing import Dict, Iterable, List, Optional, Set, Text, Union
  import pyarrow
  import six
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import stats_generator
  from tensorflow_data_validation.utils import quantiles_util
  from tensorflow_data_validation.utils import schema_util
  from tensorflow_data_validation.utils import stats_util
  from tensorflow_data_validation.utils import vocab_util
  from tfx_bsl import sketches
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
  from tfx_bsl.types import tfx_namedtuple
label_desc: Use image node_id 3 for calling the NLStatsGenerator obj's underlying member method code with example usage: obj.create_accumulator() and returns: _PartialNLStats