mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-14 05:37:03 +03:00
34 lines
970 B
Python
34 lines
970 B
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
import pytest
|
|
|
|
|
|
@pytest.mark.models('fr')
|
|
def test_lemmatizer_verb(FR):
|
|
tokens = FR("Qu'est-ce que tu fais?")
|
|
assert tokens[0].lemma_ == "que"
|
|
assert tokens[1].lemma_ == "être"
|
|
assert tokens[5].lemma_ == "faire"
|
|
|
|
|
|
@pytest.mark.models('fr')
|
|
@pytest.mark.xfail(reason="sont tagged as AUX")
|
|
def test_lemmatizer_noun_verb_2(FR):
|
|
tokens = FR("Les abaissements de température sont gênants.")
|
|
assert tokens[4].lemma_ == "être"
|
|
|
|
|
|
@pytest.mark.models('fr')
|
|
@pytest.mark.xfail(reason="Costaricienne TAG is PROPN instead of NOUN and spacy don't lemmatize PROPN")
|
|
def test_lemmatizer_noun(FR):
|
|
tokens = FR("il y a des Costaricienne.")
|
|
assert tokens[4].lemma_ == "Costaricain"
|
|
|
|
|
|
@pytest.mark.models('fr')
|
|
def test_lemmatizer_noun_2(FR):
|
|
tokens = FR("Les abaissements de température sont gênants.")
|
|
assert tokens[1].lemma_ == "abaissement"
|
|
assert tokens[5].lemma_ == "gênant"
|