class_docstr: Tokenizer, Detokenizer and Normalizer utilities for Japanese & English
  Args:
      lang_id: One of ['en', 'ja'].
class_docstr_tok: ["Tokenizer",",","Detokenizer","and","Normalizer","utilities","for","Japanese","&","English","Args",":","lang_id",":","One","of","[","'en","'",",","'ja","'","]","."]
code: def __init__(self, lang_id: str):
      self.lang_id = lang_id
      self.moses_tokenizer = MosesTokenizer(lang=lang_id)
      self.moses_detokenizer = MosesDetokenizer(lang=lang_id)
      self.normalizer = MosesPunctNormalizer(
          lang=lang_id,
          pre_replace_unicode_punct=True,
          post_remove_control_chars=True,
      )
  
file_path: NeMo/nemo/collections/common/tokenizers/en_ja_tokenizers.py
imports: import re
  from typing import List
  from pangu import spacing
  from sacremoses import MosesDetokenizer, MosesPunctNormalizer, MosesTokenizer
label_desc: Use image node_id 1 to create a new EnJaProcessor object  with example: obj = EnJaProcessor(lang_id)