spaCy/spacy/tests/regression/test_issue1305.py

import pytest
import spacy

@pytest.mark.models('en')
def test_issue1305():
    '''Test lemmatization of English VBZ'''
    nlp = spacy.load('en_core_web_sm')
    assert nlp.vocab.morphology.lemmatizer('works', 'verb') == ['work']
    doc = nlp(u'This app works well')
    assert doc[2].lemma_ == 'work'
Add test for 1305: Incorrect lemmatization of VBZ for English 2017-09-06 19:40:18 +03:00			`import pytest`
Update tests 2017-10-24 18:05:15 +03:00			`import spacy`
Add test for 1305: Incorrect lemmatization of VBZ for English 2017-09-06 19:40:18 +03:00
Fix model-mark on regression test. 2017-10-25 15:44:00 +03:00			`@pytest.mark.models('en')`
Update tests 2017-10-24 18:05:15 +03:00			`def test_issue1305():`
Add test for 1305: Incorrect lemmatization of VBZ for English 2017-09-06 19:40:18 +03:00			`'''Test lemmatization of English VBZ'''`
Update tests 2017-10-24 18:05:15 +03:00			`nlp = spacy.load('en_core_web_sm')`
			`assert nlp.vocab.morphology.lemmatizer('works', 'verb') == ['work']`
			`doc = nlp(u'This app works well')`
Add test for 1305: Incorrect lemmatization of VBZ for English 2017-09-06 19:40:18 +03:00			`assert doc[2].lemma_ == 'work'`