ai-content-maker/.venv/Lib/site-packages/spacy/lang/ca/lemmatizer.py

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2024-05-03 04:18:51 +03:00
from typing import List, Tuple
from ...pipeline import Lemmatizer
from ...tokens import Token
class CatalanLemmatizer(Lemmatizer):
"""
Copied from French Lemmatizer
Catalan language lemmatizer applies the default rule based lemmatization
procedure with some modifications for better Catalan language support.
The parts of speech 'ADV', 'PRON', 'DET', 'ADP' and 'AUX' are added to use
the rule-based lemmatization. As a last resort, the lemmatizer checks in
the lookup table.
"""
@classmethod
def get_lookups_config(cls, mode: str) -> Tuple[List[str], List[str]]:
if mode == "rule":
required = ["lemma_lookup", "lemma_rules", "lemma_exc", "lemma_index"]
return (required, [])
else:
return super().get_lookups_config(mode)
def rule_lemmatize(self, token: Token) -> List[str]:
cache_key = (token.orth, token.pos)
if cache_key in self.cache:
return self.cache[cache_key]
string = token.text
univ_pos = token.pos_.lower()
if univ_pos in ("", "eol", "space"):
return [string.lower()]
elif "lemma_rules" not in self.lookups or univ_pos not in (
"noun",
"verb",
"adj",
"adp",
"adv",
"aux",
"cconj",
"det",
"pron",
"punct",
"sconj",
):
return self.lookup_lemmatize(token)
index_table = self.lookups.get_table("lemma_index", {})
exc_table = self.lookups.get_table("lemma_exc", {})
rules_table = self.lookups.get_table("lemma_rules", {})
lookup_table = self.lookups.get_table("lemma_lookup", {})
index = index_table.get(univ_pos, {})
exceptions = exc_table.get(univ_pos, {})
rules = rules_table.get(univ_pos, [])
string = string.lower()
forms = []
if string in index:
forms.append(string)
self.cache[cache_key] = forms
return forms
forms.extend(exceptions.get(string, []))
oov_forms = []
if not forms:
for old, new in rules:
if string.endswith(old):
form = string[: len(string) - len(old)] + new
if not form:
pass
elif form in index or not form.isalpha():
forms.append(form)
else:
oov_forms.append(form)
if not forms:
forms.extend(oov_forms)
# use lookups, and fall back to the token itself
if not forms:
forms.append(lookup_table.get(string, [string])[0])
forms = list(dict.fromkeys(forms))
self.cache[cache_key] = forms
return forms