class_docstr: NLP class for default processing.
class_docstr_tok: ["NLP","class","for","default","processing","."]
docstr: Print to screen the authors of particular algorithms.
docstr_tok: ["Print","to","screen","the","authors","of","particular","algorithms","."]
code: def _print_special_authorship_messages_for_current_lang(self):
      """Print to screen the authors of particular algorithms."""
      for process in self.pipeline.processes:
          if hasattr(process, "authorship_info"):
              # https://archive.ph/20120806003722/http://www.tlg.uci.edu/~opoudjis/unicode/punctuation.html
              # U+2E16 Dotted Right-Pointing Angle ⸖
              print(f"⸖ {process.authorship_info}")
  
file_path: cltk/src/cltk/nlp.py
imports: from threading import Lock
  from typing import List, Type
  import cltk
  from cltk.core.data_types import Doc, Language, Pipeline, Process
  from cltk.core.exceptions import UnimplementedAlgorithmError
  from cltk.languages.pipelines import AkkadianPipeline, ArabicPipeline, AramaicPipeline, ChinesePipeline, CopticPipeline, GothicPipeline, GreekPipeline, HindiPipeline, LatinPipeline, MiddleEnglishPipeline, MiddleFrenchPipeline, MiddleHighGermanPipeline, OCSPipeline, OldEnglishPipeline, OldFrenchPipeline, OldNorsePipeline, PaliPipeline, PanjabiPipeline, SanskritPipeline
  from cltk.languages.utils import get_lang
label_desc: Use image node_id 4 for calling the NLP obj's underlying member method code with example usage: obj._print_special_authorship_messages_for_current_lang() without return types