2017-10-07 00:15:15 +00:00
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# coding: utf8
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from __future__ import unicode_literals
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2017-07-21 23:48:35 +00:00
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import pytest
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2017-11-05 13:39:57 +00:00
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from ...language import Language
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from ...pipeline import DependencyParser
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2017-07-21 23:48:35 +00:00
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2017-10-07 00:15:15 +00:00
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@pytest.mark.models('en')
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2017-11-05 13:39:57 +00:00
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def test_beam_parse_en(EN):
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2017-10-07 00:15:15 +00:00
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doc = EN(u'Australia is a country', disable=['ner'])
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ents = EN.entity(doc, beam_width=2)
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print(ents)
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2017-11-05 13:39:57 +00:00
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def test_beam_parse():
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nlp = Language()
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nlp.add_pipe(DependencyParser(nlp.vocab), name='parser')
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nlp.parser.add_label('nsubj')
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2018-01-28 20:00:32 +00:00
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nlp.parser.begin_training([], token_vector_width=8, hidden_width=8)
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2017-11-05 13:39:57 +00:00
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doc = nlp.make_doc(u'Australia is a country')
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nlp.parser(doc, beam_width=2)
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