class_docstr: This lemmatizer was adapted from the Polish one (version of April 2021).
  It implements lookup lemmatization based on the morphological lexicon
  morph-it (Baroni and Zanchetta). The table lemma_lookup with non-POS-aware
  entries is used as a backup for words that aren't handled by morph-it.
code: def lemmatize_det(
      self, string: str, morphology: dict, lookup_table: Dict[str, str]
  ) -> List[str]:
      if string in [
          "l'",
          "lo",
          "la",
          "i",
          "gli",
          "le",
      ]:
          return ["il"]
      if string in ["un'", "un", "una"]:
          return ["uno"]
      return [lookup_table.get(string, string)]
  
file_path: spacy/spacy/lang/it/lemmatizer.py
imports: from typing import Dict, List, Tuple
  from ...pipeline import Lemmatizer
  from ...tokens import Token
label_desc: Use image node_id 3 for calling the ItalianLemmatizer obj's underlying member method code with example usage: obj.lemmatize_det(string, morphology, lookup_table) and returns: list, list, list