spaCy/spacy/lang/ht/lemmatizer.py
Matthew Honnibal 4ebe774120 isort
2025-11-04 15:50:26 +01:00

52 lines
1.6 KiB
Python

from typing import List, Tuple
from ...lookups import Lookups
from ...pipeline import Lemmatizer
from ...tokens import Token
class HaitianCreoleLemmatizer(Lemmatizer):
"""
Minimal Haitian Creole lemmatizer.
Returns a word's base form based on rules and lookup,
or defaults to the original form.
"""
def is_base_form(self, token: Token) -> bool:
morph = token.morph.to_dict()
upos = token.pos_.lower()
# Consider unmarked forms to be base
if upos in {"noun", "verb", "adj", "adv"}:
if not morph:
return True
if upos == "noun" and morph.get("Number") == "Sing":
return True
if upos == "verb" and morph.get("VerbForm") == "Inf":
return True
if upos == "adj" and morph.get("Degree") == "Pos":
return True
return False
def rule_lemmatize(self, token: Token) -> List[str]:
string = token.text.lower()
pos = token.pos_.lower()
cache_key = (token.orth, token.pos)
if cache_key in self.cache:
return self.cache[cache_key]
forms = []
# fallback rule: just return lowercased form
forms.append(string)
self.cache[cache_key] = forms
return forms
@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, [])
return super().get_lookups_config(mode)