class_docstr: I18n-friendly tokenizer that keeps accent characters during lowercasing.
class_docstr_tok: ["I18n-friendly","tokenizer","that","keeps","accent","characters","during","lowercasing","."]
code: def __init__(self, *args, **kwargs):
      super(AccentPreservingBasicTokenizer, self).__init__(
          *args, **kwargs
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  from tensorflow.python.eager import monitoring
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import string_ops
  from tensorflow_text.python.ops import regex_split_ops
  from tensorflow_text.python.ops.normalize_ops import case_fold_utf8
  from tensorflow_text.python.ops.normalize_ops import normalize_utf8
  from tensorflow_text.python.ops.tokenization import Detokenizer
  from tensorflow_text.python.ops.tokenization import TokenizerWithOffsets
  from tensorflow_text.python.ops.wordpiece_tokenizer import WordpieceTokenizer
label_desc: Use image node_id 1 to create a new AccentPreservingBasicTokenizer object from inherited base classes: BasicTokenizer with example: obj = AccentPreservingBasicTokenizer()