class_docstr: Latin transcriber
docstr: >>> LatinTranscription().transcribe("meditationes")
  '[mɛd̪ɪt̪at̪ɪ̣jɔn̪ɛs]'
  
  :param word: word to transcribe
  :return: transcribed word
docstr_tok: [">",">",">","LatinTranscription","(",")",".transcribe","(","``","meditationes","''",")","'","[","m\u025bd\u032a\u026at\u032aat\u032a\u026a\u0323j\u0254n\u032a\u025bs","]","'",":","param","word",":","word","to","transcribe",":","return",":","transcribed","word"]
code: def transcribe(self, word: str) -> str:
      """
      >>> LatinTranscription().transcribe("meditationes")
      '[mɛd̪ɪt̪at̪ɪ̣jɔn̪ɛs]'
  
      :param word: word to transcribe
      :return: transcribed word
      """
      return self.transcriber.transcribe(
          unicodedata.normalize("NFC", word), False, False, False
      )
  
file_path: cltk/src/cltk/phonology/lat/phonology.py
imports: import unicodedata
  from typing import List
  import cltk.phonology.lat.transcription
  from cltk.phonology.lat.syllabifier import syllabify
label_desc: Use image node_id 2 for calling the LatinTranscription obj's underlying member method code with example usage: obj.transcribe(word) and returns: self