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34 lines
973 B
Python
34 lines
973 B
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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@pytest.mark.models('fr')
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def test_lemmatizer_verb(FR):
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tokens = FR("Qu'est-ce que tu fais?")
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assert tokens[0].lemma_ == "que"
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assert tokens[1].lemma_ == "être"
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assert tokens[5].lemma_ == "faire"
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@pytest.mark.models('fr')
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@pytest.mark.xfail(reason="sont tagged as AUX")
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def test_lemmatizer_noun_verb_2(FR):
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tokens = FR("Les abaissements de température sont gênants.")
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assert tokens[4].lemma_ == "être"
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@pytest.mark.models('fr')
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@pytest.mark.xfail(reason="Costaricienne TAG is PROPN instead of NOUN and spacy don't lemmatize PROPN")
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def test_lemmatizer_noun(model):
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tokens = FR("il y a des Costaricienne.")
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assert tokens[4].lemma_ == "Costaricain"
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@pytest.mark.models('fr')
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def test_lemmatizer_noun_2(FR):
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tokens = FR("Les abaissements de température sont gênants.")
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assert tokens[1].lemma_ == "abaissement"
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assert tokens[5].lemma_ == "gênant"
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