when attempting to retrieve sentences, I get tokens
See original GitHub issueI followed the tutorial example from here:
en_nlp = English()
en_doc = en_nlp(u'Hello, world. Here are two sentences.')
next(en_doc.sents)
But it returns only Hello
.
So I ran the tests found here, and appears that a few of those tests fail for the same reason:
python -m pytest /Users/mcapizzi/miniconda3/envs/nextiva-pipeline/lib/python3.5/site-packages/spacy-1.0.4-py3.5-macosx-10.6-x86_64.egg/spacy/tests/spans/test_span.py --models
============================= test session starts ==============================
platform darwin -- Python 3.5.2, pytest-3.0.3, py-1.4.31, pluggy-0.4.0
rootdir: /Users/mcapizzi, inifile:
collected 4 items
../../miniconda3/envs/nextiva-pipeline/lib/python3.5/site-packages/spacy-1.0.4-py3.5-macosx-10.6-x86_64.egg/spacy/tests/spans/test_span.py FF..
=================================== FAILURES ===================================
_______________________________ test_sent_spans ________________________________
doc = This is a sentence. This is another sentence. And a third.
@pytest.mark.models
def test_sent_spans(doc):
sents = list(doc.sents)
assert sents[0].start == 0
> assert sents[0].end == 5
E assert 1 == 5
E + where 1 = This.end
../../miniconda3/envs/nextiva-pipeline/lib/python3.5/site-packages/spacy-1.0.4-py3.5-macosx-10.6-x86_64.egg/spacy/tests/spans/test_span.py:18: AssertionError
__________________________________ test_root ___________________________________
doc = This is a sentence. This is another sentence. And a third.
@pytest.mark.models
def test_root(doc):
np = doc[2:4]
assert len(np) == 2
assert np.orth_ == 'a sentence'
> assert np.root.orth_ == 'sentence'
E assert 'a' == 'sentence'
E - a
E + sentence
../../miniconda3/envs/nextiva-pipeline/lib/python3.5/site-packages/spacy-1.0.4-py3.5-macosx-10.6-x86_64.egg/spacy/tests/spans/test_span.py:28: AssertionError
====================== 2 failed, 2 passed in 0.10 seconds ======================
Issue Analytics
- State:
- Created 7 years ago
- Comments:9 (3 by maintainers)
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Got it! Thanks for your quick response, @honnibal .
I love the new additions to
spaCy
, and the small company I work for is making it the foundation of our NLP pipeline. 😃This thread has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.