133 lines
4.5 KiB
Python
133 lines
4.5 KiB
Python
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from typing import Dict, List, Tuple
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from ...pipeline import Lemmatizer
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from ...tokens import Token
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class ItalianLemmatizer(Lemmatizer):
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"""This lemmatizer was adapted from the Polish one (version of April 2021).
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It implements lookup lemmatization based on the morphological lexicon
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morph-it (Baroni and Zanchetta). The table lemma_lookup with non-POS-aware
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entries is used as a backup for words that aren't handled by morph-it."""
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@classmethod
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def get_lookups_config(cls, mode: str) -> Tuple[List[str], List[str]]:
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if mode == "pos_lookup":
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required = [
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"lemma_lookup_num",
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"lemma_lookup_det",
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"lemma_lookup_adp",
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"lemma_lookup_adj",
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"lemma_lookup_noun",
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"lemma_lookup_pron",
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"lemma_lookup_verb",
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"lemma_lookup_aux",
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"lemma_lookup_adv",
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"lemma_lookup_other",
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"lemma_lookup",
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]
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return (required, [])
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else:
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return super().get_lookups_config(mode)
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def pos_lookup_lemmatize(self, token: Token) -> List[str]:
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string = token.text
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univ_pos = token.pos_
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morphology = token.morph.to_dict()
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lookup_pos = univ_pos.lower()
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if univ_pos == "PROPN":
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lookup_pos = "noun"
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elif univ_pos == "PART":
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lookup_pos = "pron"
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lookup_table = self.lookups.get_table("lemma_lookup_" + lookup_pos, {})
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if univ_pos == "NOUN":
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return self.lemmatize_noun(string, morphology, lookup_table)
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else:
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if univ_pos != "PROPN":
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string = string.lower()
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if univ_pos == "DET":
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return self.lemmatize_det(string, morphology, lookup_table)
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elif univ_pos == "PRON":
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return self.lemmatize_pron(string, morphology, lookup_table)
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elif univ_pos == "ADP":
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return self.lemmatize_adp(string, morphology, lookup_table)
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elif univ_pos == "ADJ":
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return self.lemmatize_adj(string, morphology, lookup_table)
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else:
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lemma = lookup_table.get(string, "")
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if not lemma:
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lookup_table = self.lookups.get_table("lemma_lookup_other")
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lemma = lookup_table.get(string, "")
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if not lemma:
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lookup_table = self.lookups.get_table(
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"lemma_lookup"
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) # "legacy" lookup table
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lemma = lookup_table.get(string, string.lower())
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return [lemma]
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def lemmatize_det(
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self, string: str, morphology: dict, lookup_table: Dict[str, str]
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) -> List[str]:
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if string in [
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"l'",
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"lo",
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"la",
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"i",
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"gli",
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"le",
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]:
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return ["il"]
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if string in ["un'", "un", "una"]:
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return ["uno"]
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return [lookup_table.get(string, string)]
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def lemmatize_pron(
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self, string: str, morphology: dict, lookup_table: Dict[str, str]
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) -> List[str]:
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if string in [
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"l'",
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"li",
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"la",
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"gli",
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"le",
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]:
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return ["lo"]
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if string in ["un'", "un", "una"]:
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return ["uno"]
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lemma = lookup_table.get(string, string)
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if lemma == "alcun":
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lemma = "alcuno"
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elif lemma == "qualcun":
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lemma = "qualcuno"
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return [lemma]
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def lemmatize_adp(
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self, string: str, morphology: dict, lookup_table: Dict[str, str]
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) -> List[str]:
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if string == "d'":
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return ["di"]
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return [lookup_table.get(string, string)]
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def lemmatize_adj(
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self, string: str, morphology: dict, lookup_table: Dict[str, str]
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) -> List[str]:
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lemma = lookup_table.get(string, string)
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if lemma == "alcun":
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lemma = "alcuno"
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elif lemma == "qualcun":
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lemma = "qualcuno"
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return [lemma]
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def lemmatize_noun(
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self, string: str, morphology: dict, lookup_table: Dict[str, str]
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) -> List[str]:
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# this method is case-sensitive, in order to work
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# for incorrectly tagged proper names
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if string != string.lower():
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if string.lower() in lookup_table:
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return [lookup_table[string.lower()]]
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elif string in lookup_table:
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return [lookup_table[string]]
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return [string.lower()]
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return [lookup_table.get(string, string)]
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