spaCy/spacy/tests/parser/test_beam_parse.py

24 lines
611 B
Python

# coding: utf8
from __future__ import unicode_literals
import pytest
from ...language import Language
from ...pipeline import DependencyParser
@pytest.mark.models('en')
def test_beam_parse_en(EN):
doc = EN(u'Australia is a country', disable=['ner'])
ents = EN.entity(doc, beam_width=2)
print(ents)
def test_beam_parse():
nlp = Language()
nlp.add_pipe(DependencyParser(nlp.vocab), name='parser')
nlp.parser.add_label('nsubj')
nlp.parser.begin_training([], token_vector_width=8, hidden_width=8)
doc = nlp.make_doc(u'Australia is a country')
nlp.parser(doc, beam_width=2)