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Merge branch 'develop' of https://github.com/explosion/spaCy into develop

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Matthew Honnibal 2017-05-22 12:39:34 +02:00
commit 7e2cdc0c81
3 changed files with 14 additions and 14 deletions
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4
spacy/pipeline.pyx
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@ -31,7 +31,7 @@ from .syntax.stateclass cimport StateClass
from .gold cimport GoldParse from .gold cimport GoldParse
from .morphology cimport Morphology from .morphology cimport Morphology
from .vocab cimport Vocab from .vocab cimport Vocab
from .syntax.nonproj import PseudoProjectivity from .syntax import nonproj
from .attrs import ID, LOWER, PREFIX, SUFFIX, SHAPE, TAG, DEP, POS from .attrs import ID, LOWER, PREFIX, SUFFIX, SHAPE, TAG, DEP, POS
from ._ml import rebatch, Tok2Vec, flatten, get_col, doc2feats from ._ml import rebatch, Tok2Vec, flatten, get_col, doc2feats
@ -265,7 +265,7 @@ class NeuralLabeller(NeuralTagger):
pass pass
def begin_training(self, gold_tuples, pipeline=None): def begin_training(self, gold_tuples, pipeline=None):
gold_tuples = PseudoProjectivity.preprocess_training_data(gold_tuples) gold_tuples = nonproj.preprocess_training_data(gold_tuples)
for raw_text, annots_brackets in gold_tuples: for raw_text, annots_brackets in gold_tuples:
for annots, brackets in annots_brackets: for annots, brackets in annots_brackets:
ids, words, tags, heads, deps, ents = annots ids, words, tags, heads, deps, ents = annots

1
spacy/syntax/parser.pyx
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@ -33,7 +33,6 @@ from ._parse_features cimport CONTEXT_SIZE
from ._parse_features cimport fill_context from ._parse_features cimport fill_context
from .stateclass cimport StateClass from .stateclass cimport StateClass
from ._state cimport StateC from ._state cimport StateC
from .nonproj import PseudoProjectivity
from .transition_system import OracleError from .transition_system import OracleError
from .transition_system cimport TransitionSystem, Transition from .transition_system cimport TransitionSystem, Transition
from ..structs cimport TokenC from ..structs cimport TokenC

23
spacy/tests/parser/test_nonproj.py
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@ -2,7 +2,8 @@
from __future__ import unicode_literals from __future__ import unicode_literals
from ...syntax.nonproj import ancestors, contains_cycle, is_nonproj_arc from ...syntax.nonproj import ancestors, contains_cycle, is_nonproj_arc
from ...syntax.nonproj import is_nonproj_tree, PseudoProjectivity from ...syntax.nonproj import is_nonproj_tree
from ...syntax import nonproj
from ...attrs import DEP, HEAD from ...attrs import DEP, HEAD
from ..util import get_doc from ..util import get_doc
@ -75,7 +76,7 @@ def test_parser_pseudoprojectivity(en_tokenizer):
tokens = en_tokenizer('whatever ' * len(proj_heads)) tokens = en_tokenizer('whatever ' * len(proj_heads))
rel_proj_heads = [head-i for i, head in enumerate(proj_heads)] rel_proj_heads = [head-i for i, head in enumerate(proj_heads)]
doc = get_doc(tokens.vocab, [t.text for t in tokens], deps=deco_labels, heads=rel_proj_heads) doc = get_doc(tokens.vocab, [t.text for t in tokens], deps=deco_labels, heads=rel_proj_heads)
PseudoProjectivity.deprojectivize(doc) nonproj.deprojectivize(doc)
return [t.head.i for t in doc], [token.dep_ for token in doc] return [t.head.i for t in doc], [token.dep_ for token in doc]
tree = [1, 2, 2] tree = [1, 2, 2]
@ -85,18 +86,18 @@ def test_parser_pseudoprojectivity(en_tokenizer):
labels = ['det', 'nsubj', 'root', 'det', 'dobj', 'aux', 'nsubj', 'acl', 'punct'] labels = ['det', 'nsubj', 'root', 'det', 'dobj', 'aux', 'nsubj', 'acl', 'punct']
labels2 = ['advmod', 'root', 'det', 'nsubj', 'advmod', 'det', 'dobj', 'det', 'nmod', 'aux', 'nmod', 'advmod', 'det', 'amod', 'punct'] labels2 = ['advmod', 'root', 'det', 'nsubj', 'advmod', 'det', 'dobj', 'det', 'nmod', 'aux', 'nmod', 'advmod', 'det', 'amod', 'punct']
assert(PseudoProjectivity.decompose('X||Y') == ('X','Y')) assert(nonproj.decompose('X||Y') == ('X','Y'))
assert(PseudoProjectivity.decompose('X') == ('X','')) assert(nonproj.decompose('X') == ('X',''))
assert(PseudoProjectivity.is_decorated('X||Y') == True) assert(nonproj.is_decorated('X||Y') == True)
assert(PseudoProjectivity.is_decorated('X') == False) assert(nonproj.is_decorated('X') == False)
PseudoProjectivity._lift(0, tree) nonproj._lift(0, tree)
assert(tree == [2, 2, 2]) assert(tree == [2, 2, 2])
assert(PseudoProjectivity._get_smallest_nonproj_arc(nonproj_tree) == 7) assert(nonproj._get_smallest_nonproj_arc(nonproj_tree) == 7)
assert(PseudoProjectivity._get_smallest_nonproj_arc(nonproj_tree2) == 10) assert(nonproj._get_smallest_nonproj_arc(nonproj_tree2) == 10)
proj_heads, deco_labels = PseudoProjectivity.projectivize(nonproj_tree, labels) proj_heads, deco_labels = nonproj.projectivize(nonproj_tree, labels)
assert(proj_heads == [1, 2, 2, 4, 5, 2, 7, 5, 2]) assert(proj_heads == [1, 2, 2, 4, 5, 2, 7, 5, 2])
assert(deco_labels == ['det', 'nsubj', 'root', 'det', 'dobj', 'aux', assert(deco_labels == ['det', 'nsubj', 'root', 'det', 'dobj', 'aux',
'nsubj', 'acl||dobj', 'punct']) 'nsubj', 'acl||dobj', 'punct'])
@ -105,7 +106,7 @@ def test_parser_pseudoprojectivity(en_tokenizer):
assert(deproj_heads == nonproj_tree) assert(deproj_heads == nonproj_tree)
assert(undeco_labels == labels) assert(undeco_labels == labels)
proj_heads, deco_labels = PseudoProjectivity.projectivize(nonproj_tree2, labels2) proj_heads, deco_labels = nonproj.projectivize(nonproj_tree2, labels2)
assert(proj_heads == [1, 1, 3, 1, 5, 6, 9, 8, 6, 1, 9, 12, 13, 10, 1]) assert(proj_heads == [1, 1, 3, 1, 5, 6, 9, 8, 6, 1, 9, 12, 13, 10, 1])
assert(deco_labels == ['advmod||aux', 'root', 'det', 'nsubj', 'advmod', assert(deco_labels == ['advmod||aux', 'root', 'det', 'nsubj', 'advmod',
'det', 'dobj', 'det', 'nmod', 'aux', 'nmod||dobj', 'det', 'dobj', 'det', 'nmod', 'aux', 'nmod||dobj',