class_docstr: Uses a reconstruction to transcribe a orthographic string into IPA.
class_docstr_tok: ["Uses","a","reconstruction","to","transcribe","a","orthographic","string","into","IPA","."]
docstr: :param dialect: Latin dialect
  :param reconstruction: reconstruction method
docstr_tok: [":","param","dialect",":","Latin","dialect",":","param","reconstruction",":","reconstruction","method"]
code: def __init__(self, dialect: str, reconstruction: str):
      """
  
      :param dialect: Latin dialect
      :param reconstruction: reconstruction method
      """
      self.lect = dialect
      self.recon = reconstruction
      self.root = LATIN[self.lect][self.recon]
      self.table = self.root["correspondence"]
      self.diphs = self.root["diphthongs"]
      self.punc = self.root["punctuation"]
      self.macronizer = m.Macronizer("tag_ngram_123_backoff")
  
imports: import re
  import unicodedata
  from typing import List
  from nltk.tokenize import wordpunct_tokenize
  from cltk.core.cltk_logger import logger
  from cltk.prosody.lat import macronizer
label_desc: Use image node_id 1 to create a new Transcriber object  with example: obj = Transcriber(dialect, reconstruction)