class_docstr: Applies exponential smoothing coefficients to the counts.
code: def process(self, word_and_lang, coeffs):
      word, lang = word_and_lang
      count = coeffs[lang] * self._corpus_multiplier
      yield word, count
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import apache_beam
  import tensorflow.compat.v1
  from tensorflow_text.python.ops.bert_tokenizer import BertTokenizer
  from tensorflow_text.python.ops.wordpiece_tokenizer import WordpieceTokenizer
  from tensorflow_text.tools.wordpiece_vocab import wordpiece_tokenizer_learner_lib
label_desc: Use image node_id 2 for calling the ExponentialSmoothing obj's underlying member method code with example usage: obj.process(word_and_lang, coeffs) without return types