spaCy/spacy/lang/uk/lemmatizer.py
Adriane Boyd 30d31fd335
Update Russian and Ukrainian lemmatizers (#11811)
* pymorph2 issues #11620, #11626, #11625:
- #11620: pymorphy2_lookup
- #11626: handle multiple forms pointing to the same normal form + handling empty POS tag
- #11625: matching DET that are labelled as PRON by pymorhp2

* Move lemmatizer algorithm changes back into RussianLemmatizer

* Fix uk pymorphy3_lookup mode init

* Move and update tests for ru/uk lookup lemmatizer modes

* Fix typo

* Remove traces of previous behavior for uninflected POS

* Refactor to private generic-looking pymorphy methods

* Remove xfailed uk lemmatizer cases

* Update spacy/lang/ru/lemmatizer.py

Co-authored-by: Richard Hudson <richard@explosion.ai>

Co-authored-by: Dmytro S Lituiev <d.lituiev@gmail.com>
Co-authored-by: Richard Hudson <richard@explosion.ai>
2022-11-25 11:12:46 +01:00

46 lines
1.7 KiB
Python

from typing import Optional, Callable
from thinc.api import Model
from ..ru.lemmatizer import RussianLemmatizer
from ...pipeline.lemmatizer import lemmatizer_score
from ...vocab import Vocab
class UkrainianLemmatizer(RussianLemmatizer):
def __init__(
self,
vocab: Vocab,
model: Optional[Model],
name: str = "lemmatizer",
*,
mode: str = "pymorphy3",
overwrite: bool = False,
scorer: Optional[Callable] = lemmatizer_score,
) -> None:
if mode in {"pymorphy2", "pymorphy2_lookup"}:
try:
from pymorphy2 import MorphAnalyzer
except ImportError:
raise ImportError(
"The Ukrainian lemmatizer mode 'pymorphy2' requires the "
"pymorphy2 library and dictionaries. Install them with: "
"pip install pymorphy2 pymorphy2-dicts-uk"
) from None
if getattr(self, "_morph", None) is None:
self._morph = MorphAnalyzer(lang="uk")
elif mode in {"pymorphy3", "pymorphy3_lookup"}:
try:
from pymorphy3 import MorphAnalyzer
except ImportError:
raise ImportError(
"The Ukrainian lemmatizer mode 'pymorphy3' requires the "
"pymorphy3 library and dictionaries. Install them with: "
"pip install pymorphy3 pymorphy3-dicts-uk"
) from None
if getattr(self, "_morph", None) is None:
self._morph = MorphAnalyzer(lang="uk")
super().__init__(
vocab, model, name, mode=mode, overwrite=overwrite, scorer=scorer
)