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Merge branch 'develop'

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This commit is contained in:
Matthew Honnibal 2017-03-10 02:49:39 -06:00
commit ea53647362
29 changed files with 535 additions and 138 deletions
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14
bin/parser/train.py
View File

@ -66,8 +66,8 @@ def score_model(scorer, nlp, raw_text, annot_tuples, verbose=False):
def train(Language, train_data, dev_data, model_dir, tagger_cfg, parser_cfg, entity_cfg,
n_iter=15, seed=0, gold_preproc=False, n_sents=0, corruption_level=0):
print("Itn.\tP.Loss\tUAS\tNER F.\tTag %\tToken %")
format_str = '{:d}\t{:d}\t{uas:.3f}\t{ents_f:.3f}\t{tags_acc:.3f}\t{token_acc:.3f}'
print("Itn.\tN weight\tN feats\tUAS\tNER F.\tTag %\tToken %")
format_str = '{:d}\t{:d}\t{:d}\t{uas:.3f}\t{ents_f:.3f}\t{tags_acc:.3f}\t{token_acc:.3f}'
with Language.train(model_dir, train_data,
tagger_cfg, parser_cfg, entity_cfg) as trainer:
loss = 0
@ -76,11 +76,13 @@ def train(Language, train_data, dev_data, model_dir, tagger_cfg, parser_cfg, ent
for doc, gold in epoch:
trainer.update(doc, gold)
dev_scores = trainer.evaluate(dev_data, gold_preproc=gold_preproc)
print(format_str.format(itn, loss, **dev_scores.scores))
print(format_str.format(itn, trainer.nlp.parser.model.nr_weight,
trainer.nlp.parser.model.nr_active_feat, **dev_scores.scores))
def evaluate(Language, gold_tuples, model_dir, gold_preproc=False, verbose=False,
beam_width=None, cand_preproc=None):
print("Load parser", model_dir)
nlp = Language(path=model_dir)
if nlp.lang == 'de':
nlp.vocab.morphology.lemmatizer = lambda string,pos: set([string])
@ -145,9 +147,11 @@ def write_parses(Language, dev_loc, model_dir, out_loc):
verbose=("Verbose error reporting", "flag", "v", bool),
debug=("Debug mode", "flag", "d", bool),
pseudoprojective=("Use pseudo-projective parsing", "flag", "p", bool),
L1=("L1 regularization penalty", "option", "L", float),
)
def main(language, train_loc, dev_loc, model_dir, n_sents=0, n_iter=15, out_loc="", verbose=False,
debug=False, corruption_level=0.0, gold_preproc=False, eval_only=False, pseudoprojective=False):
debug=False, corruption_level=0.0, gold_preproc=False, eval_only=False, pseudoprojective=False,
L1=1e-6):
parser_cfg = dict(locals())
tagger_cfg = dict(locals())
entity_cfg = dict(locals())
@ -160,6 +164,8 @@ def main(language, train_loc, dev_loc, model_dir, n_sents=0, n_iter=15, out_loc=
if not eval_only:
gold_train = list(read_json_file(train_loc))
gold_dev = list(read_json_file(dev_loc))
if n_sents > 0:
gold_train = gold_train[:n_sents]
train(lang, gold_train, gold_dev, model_dir, tagger_cfg, parser_cfg, entity_cfg,
n_sents=n_sents, gold_preproc=gold_preproc, corruption_level=corruption_level,
n_iter=n_iter)

1
requirements.txt
View File

@ -10,3 +10,4 @@ six
ujson>=1.35
cloudpickle
sputnik>=0.9.2,<0.10.0
dill>=0.2,<0.3

3
setup.py
View File

@ -241,7 +241,8 @@ def setup_package():
'cloudpickle',
'pathlib',
'sputnik>=0.9.2,<0.10.0',
'ujson>=1.35'],
'ujson>=1.35',
'dill>=0.2,<0.3'],
classifiers=[
'Development Status :: 5 - Production/Stable',
'Environment :: Console',

4
spacy/attrs.pyx
View File

@ -125,7 +125,9 @@ def intify_attrs(stringy_attrs, strings_map=None, _do_deprecated=False):
'VerbForm', 'PronType', 'Aspect', 'Tense', 'PartType', 'Poss',
'Hyph', 'ConjType', 'NumType', 'Foreign', 'VerbType', 'NounType',
'Number', 'PronType', 'AdjType', 'Person', 'Variant', 'AdpType',
'Reflex', 'Negative', 'Mood', 'Aspect', 'Case']
'Reflex', 'Negative', 'Mood', 'Aspect', 'Case',
'Polarity', # U20
]
for key in morph_keys:
if key in stringy_attrs:
stringy_attrs.pop(key)

14
spacy/cfile.pxd
View File

@ -4,6 +4,20 @@ from cymem.cymem cimport Pool
cdef class CFile:
cdef FILE* fp
cdef bint is_open
cdef Pool mem
cdef int size # For compatibility with subclass
cdef int _capacity # For compatibility with subclass
cdef int read_into(self, void* dest, size_t number, size_t elem_size) except -1
cdef int write_from(self, void* src, size_t number, size_t elem_size) except -1
cdef void* alloc_read(self, Pool mem, size_t number, size_t elem_size) except *
cdef class StringCFile(CFile):
cdef unsigned char* data
cdef int read_into(self, void* dest, size_t number, size_t elem_size) except -1

41
spacy/cfile.pyx
View File

@ -1,4 +1,5 @@
from libc.stdio cimport fopen, fclose, fread, fwrite, FILE
from libc.string cimport memcpy
cdef class CFile:
@ -9,6 +10,7 @@ cdef class CFile:
mode_str = mode
if hasattr(loc, 'as_posix'):
loc = loc.as_posix()
self.mem = Pool()
cdef bytes bytes_loc = loc.encode('utf8') if type(loc) == unicode else loc
self.fp = fopen(<char*>bytes_loc, mode_str)
if self.fp == NULL:
@ -45,3 +47,42 @@ cdef class CFile:
cdef bytes py_bytes = value.encode('utf8')
cdef char* chars = <char*>py_bytes
self.write(sizeof(char), len(py_bytes), chars)
cdef class StringCFile:
def __init__(self, mode, bytes data=b'', on_open_error=None):
self.mem = Pool()
self.is_open = 'w' in mode
self._capacity = max(len(data), 8)
self.size = len(data)
self.data = <unsigned char*>self.mem.alloc(1, self._capacity)
for i in range(len(data)):
self.data[i] = data[i]
def close(self):
self.is_open = False
def string_data(self):
return (self.data-self.size)[:self.size]
cdef int read_into(self, void* dest, size_t number, size_t elem_size) except -1:
memcpy(dest, self.data, elem_size * number)
self.data += elem_size * number
cdef int write_from(self, void* src, size_t elem_size, size_t number) except -1:
write_size = number * elem_size
if (self.size + write_size) >= self._capacity:
self._capacity = (self.size + write_size) * 2
self.data = <unsigned char*>self.mem.realloc(self.data, self._capacity)
memcpy(&self.data[self.size], src, elem_size * number)
self.size += write_size
cdef void* alloc_read(self, Pool mem, size_t number, size_t elem_size) except *:
cdef void* dest = mem.alloc(number, elem_size)
self.read_into(dest, number, elem_size)
return dest
def write_unicode(self, unicode value):
cdef bytes py_bytes = value.encode('utf8')
cdef char* chars = <char*>py_bytes
self.write(sizeof(char), len(py_bytes), chars)

2
spacy/de/tag_map.py
View File

@ -41,7 +41,7 @@ TAG_MAP = {
"PRF": {POS: PRON, "PronType": "prs", "Reflex": "yes"},
"PTKA": {POS: PART},
"PTKANT": {POS: PART, "PartType": "res"},
"PTKNEG": {POS: PART, "Negative": "yes"},
"PTKNEG": {POS: PART, "Polarity": "Neg"},
"PTKVZ": {POS: PART, "PartType": "vbp"},
"PTKZU": {POS: PART, "PartType": "inf"},
"PWAT": {POS: DET, "PronType": "int"},

11
spacy/en/__init__.py
View File

@ -2,6 +2,7 @@
from __future__ import unicode_literals, print_function
from os import path
from pathlib import Path
from ..util import match_best_version
from ..util import get_data_path
@ -13,6 +14,11 @@ from ..attrs import LANG
from .language_data import *
try:
basestring
except NameError:
basestring = str
class English(Language):
lang = 'en'
@ -43,14 +49,15 @@ def _fix_deprecated_glove_vectors_loading(overrides):
data_path = get_data_path()
else:
path = overrides['path']
if isinstance(path, basestring):
path = Path(path)
data_path = path.parent
vec_path = None
if 'add_vectors' not in overrides:
if 'vectors' in overrides:
vec_path = match_best_version(overrides['vectors'], None, data_path)
if vec_path is None:
raise IOError(
'Could not load data pack %s from %s' % (overrides['vectors'], data_path))
return overrides
else:
vec_path = match_best_version('en_glove_cc_300_1m_vectors', None, data_path)
if vec_path is not None:

2
spacy/en/tag_map.py
View File

@ -16,7 +16,7 @@ TAG_MAP = {
"$": {POS: SYM, "Other": {"SymType": "currency"}},
"#": {POS: SYM, "Other": {"SymType": "numbersign"}},
"AFX": {POS: ADJ, "Hyph": "yes"},
"CC": {POS: CONJ, "ConjType": "coor"},
"CC": {POS: CCONJ, "ConjType": "coor"},
"CD": {POS: NUM, "NumType": "card"},
"DT": {POS: DET},
"EX": {POS: ADV, "AdvType": "ex"},

49
spacy/language.py
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@ -5,7 +5,7 @@ import pathlib
from contextlib import contextmanager
import shutil
import ujson as json
import ujson
try:
@ -13,6 +13,10 @@ try:
except NameError:
basestring = str
try:
unicode
except NameError:
unicode = str
from .tokenizer import Tokenizer
from .vocab import Vocab
@ -226,12 +230,21 @@ class Language(object):
parser_cfg['actions'] = ArcEager.get_actions(gold_parses=gold_tuples)
entity_cfg['actions'] = BiluoPushDown.get_actions(gold_parses=gold_tuples)
with (dep_model_dir / 'config.json').open('w') as file_:
json.dump(parser_cfg, file_)
with (ner_model_dir / 'config.json').open('w') as file_:
json.dump(entity_cfg, file_)
with (pos_model_dir / 'config.json').open('w') as file_:
json.dump(tagger_cfg, file_)
with (dep_model_dir / 'config.json').open('wb') as file_:
data = ujson.dumps(parser_cfg)
if isinstance(data, unicode):
data = data.encode('utf8')
file_.write(data)
with (ner_model_dir / 'config.json').open('wb') as file_:
data = ujson.dumps(entity_cfg)
if isinstance(data, unicode):
data = data.encode('utf8')
file_.write(data)
with (pos_model_dir / 'config.json').open('wb') as file_:
data = ujson.dumps(tagger_cfg)
if isinstance(data, unicode):
data = data.encode('utf8')
file_.write(data)
self = cls(
path=path,
@ -252,7 +265,7 @@ class Language(object):
self.entity = self.Defaults.create_entity(self)
self.pipeline = self.Defaults.create_pipeline(self)
yield Trainer(self, gold_tuples)
self.end_training()
self.end_training(path=path)
def __init__(self, **overrides):
if 'data_dir' in overrides and 'path' not in overrides:
@ -391,12 +404,14 @@ class Language(object):
else:
entity_iob_freqs = []
entity_type_freqs = []
with (path / 'vocab' / 'serializer.json').open('w') as file_:
file_.write(
json.dumps([
(TAG, tagger_freqs),
(DEP, dep_freqs),
(ENT_IOB, entity_iob_freqs),
(ENT_TYPE, entity_type_freqs),
(HEAD, head_freqs)
]))
with (path / 'vocab' / 'serializer.json').open('wb') as file_:
data = ujson.dumps([
(TAG, tagger_freqs),
(DEP, dep_freqs),
(ENT_IOB, entity_iob_freqs),
(ENT_TYPE, entity_type_freqs),
(HEAD, head_freqs)
])
if isinstance(data, unicode):
data = data.encode('utf8')
file_.write(data)

1
spacy/language_data/tag_map.py
View File

@ -19,6 +19,7 @@ TAG_MAP = {
"AUX": {POS: AUX},
"X": {POS: X},
"CONJ": {POS: CONJ},
"CCONJ": {POS: CCONJ}, # U20
"ADJ": {POS: ADJ},
"VERB": {POS: VERB},
"PART": {POS: PART}

4
spacy/morphology.pxd
View File

@ -80,6 +80,7 @@ cpdef enum univ_morph_t:
Definite_two
Definite_def
Definite_red
Definite_cons # U20
Definite_ind
Degree_cmp
Degree_comp
@ -103,6 +104,8 @@ cpdef enum univ_morph_t:
Negative_neg
Negative_pos
Negative_yes
Polarity_neg # U20
Polarity_pos # U20
Number_com
Number_dual
Number_none
@ -151,6 +154,7 @@ cpdef enum univ_morph_t:
VerbForm_partPres
VerbForm_sup
VerbForm_trans
VerbForm_conv # U20
VerbForm_gdv # la
Voice_act
Voice_cau

4
spacy/morphology.pyx
View File

@ -192,6 +192,7 @@ IDS = {
"Definite_two": Definite_two,
"Definite_def": Definite_def,
"Definite_red": Definite_red,
"Definite_cons": Definite_cons, # U20
"Definite_ind": Definite_ind,
"Degree_cmp": Degree_cmp,
"Degree_comp": Degree_comp,
@ -215,6 +216,8 @@ IDS = {
"Negative_neg": Negative_neg,
"Negative_pos": Negative_pos,
"Negative_yes": Negative_yes,
"Polarity_neg": Polarity_neg, # U20
"Polarity_pos": Polarity_pos, # U20
"Number_com": Number_com,
"Number_dual": Number_dual,
"Number_none": Number_none,
@ -263,6 +266,7 @@ IDS = {
"VerbForm_partPres": VerbForm_partPres,
"VerbForm_sup": VerbForm_sup,
"VerbForm_trans": VerbForm_trans,
"VerbForm_conv": VerbForm_conv, # U20
"VerbForm_gdv ": VerbForm_gdv, # la,
"Voice_act": Voice_act,
"Voice_cau": Voice_cau,

1
spacy/parts_of_speech.pxd
View File

@ -7,6 +7,7 @@ cpdef enum univ_pos_t:
ADV
AUX
CONJ
CCONJ # U20
DET
INTJ
NOUN

3
spacy/parts_of_speech.pyx
View File

@ -7,7 +7,8 @@ IDS = {
"ADP": ADP,
"ADV": ADV,
"AUX": AUX,
"CONJ": CONJ,
"CONJ": CONJ, # U20
"CCONJ": CCONJ,
"DET": DET,
"INTJ": INTJ,
"NOUN": NOUN,

35
spacy/strings.pyx
View File

@ -3,7 +3,7 @@ from __future__ import unicode_literals, absolute_import
cimport cython
from libc.string cimport memcpy
from libc.stdint cimport uint64_t
from libc.stdint cimport uint64_t, uint32_t
from murmurhash.mrmr cimport hash64, hash32
@ -12,22 +12,19 @@ from preshed.maps cimport map_iter, key_t
from .typedefs cimport hash_t
from libc.stdint cimport uint32_t
try:
import ujson as json
except ImportError:
import json
import ujson
cpdef hash_t hash_string(unicode string) except 0:
chars = string.encode('utf8')
return _hash_utf8(chars, len(chars))
return hash_utf8(chars, len(chars))
cdef hash_t _hash_utf8(char* utf8_string, int length):
cdef hash_t hash_utf8(char* utf8_string, int length) nogil:
return hash64(utf8_string, length, 1)
cdef uint32_t _hash32_utf8(char* utf8_string, int length):
cdef uint32_t hash32_utf8(char* utf8_string, int length) nogil:
return hash32(utf8_string, length, 1)
@ -48,11 +45,11 @@ cdef unicode _decode(const Utf8Str* string):
return string.p[i:length + i].decode('utf8')
cdef Utf8Str _allocate(Pool mem, const unsigned char* chars, int length) except *:
cdef Utf8Str _allocate(Pool mem, const unsigned char* chars, uint32_t length) except *:
cdef int n_length_bytes
cdef int i
cdef Utf8Str string
assert length != 0
cdef uint32_t ulength = length
if length < sizeof(string.s):
string.s[0] = <unsigned char>length
memcpy(&string.s[1], chars, length)
@ -98,6 +95,14 @@ cdef class StringStore:
def __get__(self):
return self.size -1
def __reduce__(self):
# TODO: OOV words, for the is_frozen stuff?
if self.is_frozen:
raise NotImplementedError(
"Currently missing support for pickling StringStore when "
"is_frozen=True")
return (StringStore, (list(self),))
def __len__(self):
"""The number of strings in the store.
@ -149,7 +154,7 @@ cdef class StringStore:
# pretty bad.
# We could also get unlucky here, and hash into a value that
# collides with the 'real' strings.
return _hash32_utf8(byte_string, len(byte_string))
return hash32_utf8(byte_string, len(byte_string))
else:
return utf8str - self.c
@ -200,7 +205,7 @@ cdef class StringStore:
cdef const Utf8Str* _intern_utf8(self, char* utf8_string, int length):
# TODO: This function's API/behaviour is an unholy mess...
# 0 means missing, but we don't bother offsetting the index.
cdef hash_t key = _hash_utf8(utf8_string, length)
cdef hash_t key = hash_utf8(utf8_string, length)
cdef Utf8Str* value = <Utf8Str*>self._map.get(key)
if value is not NULL:
return value
@ -209,7 +214,7 @@ cdef class StringStore:
return value
if self.is_frozen:
# OOV store uses 32 bit hashes. Pretty ugly :(
key32 = _hash32_utf8(utf8_string, length)
key32 = hash32_utf8(utf8_string, length)
# Important: Make the OOV store own the memory. That way it's trivial
# to flush them all.
value = <Utf8Str*>self._oov.mem.alloc(1, sizeof(Utf8Str))
@ -232,7 +237,7 @@ cdef class StringStore:
Returns:
None
"""
string_data = json.dumps(list(self))
string_data = ujson.dumps(list(self))
if not isinstance(string_data, unicode):
string_data = string_data.decode('utf8')
# TODO: OOV?
@ -246,7 +251,7 @@ cdef class StringStore:
Returns:
None
"""
strings = json.load(file_)
strings = ujson.load(file_)
if strings == ['']:
return None
cdef unicode string

40
spacy/symbols.pxd
View File

@ -90,6 +90,7 @@ cpdef enum symbol_t:
ADV
AUX
CONJ
CCONJ # U20
DET
INTJ
NOUN
@ -107,11 +108,14 @@ cpdef enum symbol_t:
Animacy_anim
Animacy_inam
Animacy_hum # U20
Aspect_freq
Aspect_imp
Aspect_mod
Aspect_none
Aspect_perf
Aspect_iter # U20
Aspect_hab # U20
Case_abe
Case_abl
Case_abs
@ -120,10 +124,12 @@ cpdef enum symbol_t:
Case_all
Case_cau
Case_com
Case_cmp # U20
Case_dat
Case_del
Case_dis
Case_ela
Case_equ # U20
Case_ess
Case_gen
Case_ill
@ -142,7 +148,9 @@ cpdef enum symbol_t:
Definite_two
Definite_def
Definite_red
Definite_cons # U20
Definite_ind
Definite_spec # U20
Degree_cmp
Degree_comp
Degree_none
@ -151,6 +159,8 @@ cpdef enum symbol_t:
Degree_abs
Degree_com
Degree_dim # du
Degree_equ # U20
Evident_nfh # U20
Gender_com
Gender_fem
Gender_masc
@ -162,16 +172,21 @@ cpdef enum symbol_t:
Mood_pot
Mood_sub
Mood_opt
Mood_prp # U20
Mood_adm # U20
Negative_neg
Negative_pos
Negative_yes
Polarity_neg # U20
Polarity_pos # U20
Number_com
Number_dual
Number_none
Number_plur
Number_sing
Number_ptan # bg
Number_count # bg
Number_count # bg, U20
Number_tri # U20
NumType_card
NumType_dist
NumType_frac
@ -197,7 +212,8 @@ cpdef enum symbol_t:
PronType_rel
PronType_tot
PronType_clit
PronType_exc # es, ca, it, fa
PronType_exc # es, ca, it, fa, U20
PronType_emp # U20
Reflex_yes
Tense_fut
Tense_imp
@ -213,12 +229,17 @@ cpdef enum symbol_t:
VerbForm_partPres
VerbForm_sup
VerbForm_trans
VerbForm_conv # U20
VerbForm_gdv # la
VerbForm_vnoun # U20
Voice_act
Voice_cau
Voice_pass
Voice_mid # gkc
Voice_mid # gkc, U20
Voice_int # hb
Voice_antip # U20
Voice_dir # U20
Voice_inv # U20
Abbr_yes # cz, fi, sl, U
AdpType_prep # cz, U
AdpType_post # U
@ -284,6 +305,10 @@ cpdef enum symbol_t:
Number_psee_plur # U
Number_psor_sing # cz, fi, sl, U
Number_psor_plur # cz, fi, sl, U
Number_pauc # U20
Number_grpa # U20
Number_grpl # U20
Number_inv # U20
NumForm_digit # cz, sl, U
NumForm_roman # cz, sl, U
NumForm_word # cz, sl, U
@ -311,6 +336,8 @@ cpdef enum symbol_t:
Person_psor_one # fi, U
Person_psor_two # fi, U
Person_psor_three # fi, U
Person_zero # U20
Person_four # U20
Polite_inf # bq, U
Polite_pol # bq, U
Polite_abs_inf # bq, U
@ -319,6 +346,10 @@ cpdef enum symbol_t:
Polite_erg_pol # bq, U
Polite_dat_inf # bq, U
Polite_dat_pol # bq, U
Polite_infm # U20
Polite_form # U20
Polite_form_elev # U20
Polite_form_humb # U20
Prefix_yes # U
PrepCase_npr # cz
PrepCase_pre # U
@ -383,6 +414,7 @@ cpdef enum symbol_t:
ccomp
complm
conj
cop # U20
csubj
csubjpass
dep
@ -405,6 +437,8 @@ cpdef enum symbol_t:
num
number
oprd
obj # U20
obl # U20
parataxis
partmod
pcomp

40
spacy/symbols.pyx
View File

@ -91,6 +91,7 @@ IDS = {
"ADV": ADV,
"AUX": AUX,
"CONJ": CONJ,
"CCONJ": CCONJ, # U20
"DET": DET,
"INTJ": INTJ,
"NOUN": NOUN,
@ -108,11 +109,14 @@ IDS = {
"Animacy_anim": Animacy_anim,
"Animacy_inam": Animacy_inam,
"Animacy_hum": Animacy_hum, # U20
"Aspect_freq": Aspect_freq,
"Aspect_imp": Aspect_imp,
"Aspect_mod": Aspect_mod,
"Aspect_none": Aspect_none,
"Aspect_perf": Aspect_perf,
"Aspect_iter": Aspect_iter, # U20
"Aspect_hab": Aspect_hab, # U20
"Case_abe": Case_abe,
"Case_abl": Case_abl,
"Case_abs": Case_abs,
@ -121,10 +125,12 @@ IDS = {
"Case_all": Case_all,
"Case_cau": Case_cau,
"Case_com": Case_com,
"Case_cmp": Case_cmp, # U20
"Case_dat": Case_dat,
"Case_del": Case_del,
"Case_dis": Case_dis,
"Case_ela": Case_ela,
"Case_equ": Case_equ, # U20
"Case_ess": Case_ess,
"Case_gen": Case_gen,
"Case_ill": Case_ill,
@ -143,7 +149,9 @@ IDS = {
"Definite_two": Definite_two,
"Definite_def": Definite_def,
"Definite_red": Definite_red,
"Definite_cons": Definite_cons, # U20
"Definite_ind": Definite_ind,
"Definite_spec": Definite_spec, # U20
"Degree_cmp": Degree_cmp,
"Degree_comp": Degree_comp,
"Degree_none": Degree_none,
@ -152,6 +160,8 @@ IDS = {
"Degree_abs": Degree_abs,
"Degree_com": Degree_com,
"Degree_dim ": Degree_dim, # du
"Degree_equ": Degree_equ, # U20
"Evident_nfh": Evident_nfh, # U20
"Gender_com": Gender_com,
"Gender_fem": Gender_fem,
"Gender_masc": Gender_masc,
@ -163,16 +173,21 @@ IDS = {
"Mood_pot": Mood_pot,
"Mood_sub": Mood_sub,
"Mood_opt": Mood_opt,
"Mood_prp": Mood_prp, # U20
"Mood_adm": Mood_adm, # U20
"Negative_neg": Negative_neg,
"Negative_pos": Negative_pos,
"Negative_yes": Negative_yes,
"Polarity_neg": Polarity_neg, # U20
"Polarity_pos": Polarity_pos, # U20
"Number_com": Number_com,
"Number_dual": Number_dual,
"Number_none": Number_none,
"Number_plur": Number_plur,
"Number_sing": Number_sing,
"Number_ptan ": Number_ptan, # bg
"Number_count ": Number_count, # bg
"Number_count ": Number_count, # bg, U20
"Number_tri": Number_tri, # U20
"NumType_card": NumType_card,
"NumType_dist": NumType_dist,
"NumType_frac": NumType_frac,
@ -198,7 +213,8 @@ IDS = {
"PronType_rel": PronType_rel,
"PronType_tot": PronType_tot,
"PronType_clit": PronType_clit,
"PronType_exc ": PronType_exc, # es, ca, it, fa,
"PronType_exc": PronType_exc, # es, ca, it, fa, U20
"PronType_emp": PronType_emp, # U20
"Reflex_yes": Reflex_yes,
"Tense_fut": Tense_fut,
"Tense_imp": Tense_imp,
@ -214,12 +230,17 @@ IDS = {
"VerbForm_partPres": VerbForm_partPres,
"VerbForm_sup": VerbForm_sup,
"VerbForm_trans": VerbForm_trans,
"VerbForm_conv": VerbForm_conv, # U20
"VerbForm_gdv ": VerbForm_gdv, # la,
"VerbForm_vnoun": VerbForm_vnoun, # U20
"Voice_act": Voice_act,
"Voice_cau": Voice_cau,
"Voice_pass": Voice_pass,
"Voice_mid ": Voice_mid, # gkc,
"Voice_mid ": Voice_mid, # gkc, U20
"Voice_int ": Voice_int, # hb,
"Voice_antip": Voice_antip, # U20
"Voice_dir": Voice_dir, # U20
"Voice_inv": Voice_inv, # U20
"Abbr_yes ": Abbr_yes, # cz, fi, sl, U,
"AdpType_prep ": AdpType_prep, # cz, U,
"AdpType_post ": AdpType_post, # U,
@ -285,6 +306,10 @@ IDS = {
"Number_psee_plur ": Number_psee_plur, # U,
"Number_psor_sing ": Number_psor_sing, # cz, fi, sl, U,
"Number_psor_plur ": Number_psor_plur, # cz, fi, sl, U,
"Number_pauc": Number_pauc, # U20
"Number_grpa": Number_grpa, # U20
"Number_grpl": Number_grpl, # U20
"Number_inv": Number_inv, # U20
"NumForm_digit ": NumForm_digit, # cz, sl, U,
"NumForm_roman ": NumForm_roman, # cz, sl, U,
"NumForm_word ": NumForm_word, # cz, sl, U,
@ -312,6 +337,8 @@ IDS = {
"Person_psor_one ": Person_psor_one, # fi, U,
"Person_psor_two ": Person_psor_two, # fi, U,
"Person_psor_three ": Person_psor_three, # fi, U,
"Person_zero ": Person_zero, # U20
"Person_four ": Person_four, # U20
"Polite_inf ": Polite_inf, # bq, U,
"Polite_pol ": Polite_pol, # bq, U,
"Polite_abs_inf ": Polite_abs_inf, # bq, U,
@ -320,6 +347,10 @@ IDS = {
"Polite_erg_pol ": Polite_erg_pol, # bq, U,
"Polite_dat_inf ": Polite_dat_inf, # bq, U,
"Polite_dat_pol ": Polite_dat_pol, # bq, U,
"Polite_infm ": Polite_infm, # U20
"Polite_form ": Polite_form, # U20
"Polite_form_elev ": Polite_form_elev, # U20
"Polite_form_humb ": Polite_form_humb, # U20
"Prefix_yes ": Prefix_yes, # U,
"PrepCase_npr ": PrepCase_npr, # cz,
"PrepCase_pre ": PrepCase_pre, # U,
@ -384,6 +415,7 @@ IDS = {
"ccomp": ccomp,
"complm": complm,
"conj": conj,
"cop": cop, # U20
"csubj": csubj,
"csubjpass": csubjpass,
"dep": dep,
@ -406,6 +438,8 @@ IDS = {
"num": num,
"number": number,
"oprd": oprd,
"obj": obj, # U20
"obl": obl, # U20
"parataxis": parataxis,
"partmod": partmod,
"pcomp": pcomp,

27
spacy/syntax/parser.pyx
View File

@ -124,6 +124,8 @@ cdef class Parser:
elif 'features' not in cfg:
cfg['features'] = self.feature_templates
self.model = ParserModel(cfg['features'])
self.model.l1_penalty = cfg.get('L1', 0.0)
self.cfg = cfg
def __reduce__(self):
@ -258,15 +260,20 @@ cdef class Parser:
self.model.set_featuresC(&eg.c, stcls.c)
self.moves.set_costs(eg.c.is_valid, eg.c.costs, stcls, gold)
self.model.set_scoresC(eg.c.scores, eg.c.features, eg.c.nr_feat)
self.model.updateC(&eg.c)
self.model.time += 1
guess = VecVec.arg_max_if_true(eg.c.scores, eg.c.is_valid, eg.c.nr_class)
if eg.c.costs[guess] > 0:
best = arg_max_if_gold(eg.c.scores, eg.c.costs, eg.c.nr_class)
for feat in eg.c.features[:eg.c.nr_feat]:
self.model.update_weight_ftrl(feat.key, best, -feat.value * eg.c.costs[guess])
self.model.update_weight_ftrl(feat.key, guess, feat.value * eg.c.costs[guess])
action = self.moves.c[eg.guess]
action = self.moves.c[guess]
action.do(stcls.c, action.label)
loss += eg.costs[eg.guess]
eg.fill_scores(0, eg.nr_class)
eg.fill_costs(0, eg.nr_class)
eg.fill_is_valid(1, eg.nr_class)
loss += eg.costs[guess]
eg.fill_scores(0, eg.c.nr_class)
eg.fill_costs(0, eg.c.nr_class)
eg.fill_is_valid(1, eg.c.nr_class)
return loss
def step_through(self, Doc doc):
@ -385,6 +392,14 @@ class ParserStateError(ValueError):
"Please include the text that the parser failed on, which is:\n"
"%s" % repr(doc.text))
cdef int arg_max_if_gold(const weight_t* scores, const weight_t* costs, int n) nogil:
cdef int best = -1
for i in range(n):
if costs[i] <= 0:
if best == -1 or scores[i] > scores[best]:
best = i
return best
cdef int _arg_max_clas(const weight_t* scores, int move, const Transition* actions,
int nr_class) except -1:

3
spacy/tagger.pyx
View File

@ -13,7 +13,7 @@ from thinc.linalg cimport VecVec
from .typedefs cimport attr_t
from .tokens.doc cimport Doc
from .attrs cimport TAG
from .parts_of_speech cimport NO_TAG, ADJ, ADV, ADP, CONJ, DET, NOUN, NUM, PRON
from .parts_of_speech cimport NO_TAG, ADJ, ADV, ADP, CCONJ, DET, NOUN, NUM, PRON
from .parts_of_speech cimport VERB, X, PUNCT, EOL, SPACE
from .gold cimport GoldParse
@ -152,6 +152,7 @@ cdef class Tagger:
model = TaggerModel(cfg.get('features', self.feature_templates))
self.vocab = vocab
self.model = model
self.model.l1_penalty = 0.0
# TODO: Move this to tag map
self.freqs = {TAG: defaultdict(int)}
for tag in self.tag_names:

12
spacy/tests/regression/test_issue792.py
View File

@ -4,9 +4,15 @@ from __future__ import unicode_literals
import pytest
@pytest.mark.xfail
@pytest.mark.parametrize('text', ["This is a string ", "This is a string\u0020"])
def test_issue792(en_tokenizer, text):
"""Test for Issue #792: Trailing whitespace is removed after parsing."""
"""Test for Issue #792: Trailing whitespace is removed after tokenization."""
doc = en_tokenizer(text)
assert doc.text_with_ws == text
assert ''.join([token.text_with_ws for token in doc]) == text
@pytest.mark.parametrize('text', ["This is a string", "This is a string\n"])
def test_control_issue792(en_tokenizer, text):
"""Test base case for Issue #792: Non-trailing whitespace"""
doc = en_tokenizer(text)
assert ''.join([token.text_with_ws for token in doc]) == text

52
spacy/tests/regression/test_issue850.py Normal file
View File

@ -0,0 +1,52 @@
'''
Test Matcher matches with '*' operator and Boolean flag
'''
from __future__ import unicode_literals
from __future__ import print_function
import pytest
from ...matcher import Matcher
from ...vocab import Vocab
from ...attrs import LOWER
from ...tokens import Doc
def test_basic_case():
matcher = Matcher(Vocab(
lex_attr_getters={LOWER: lambda string: string.lower()}))
IS_ANY_TOKEN = matcher.vocab.add_flag(lambda x: True)
matcher.add_pattern(
"FarAway",
[
{LOWER: "bob"},
{'OP': '*', LOWER: 'and'},
{LOWER: 'frank'}
])
doc = Doc(matcher.vocab, words=['bob', 'and', 'and', 'frank'])
match = matcher(doc)
assert len(match) == 1
ent_id, label, start, end = match[0]
assert start == 0
assert end == 4
@pytest.mark.xfail
def test_issue850():
'''The problem here is that the variable-length pattern matches the
succeeding token. We then don't handle the ambiguity correctly.'''
matcher = Matcher(Vocab(
lex_attr_getters={LOWER: lambda string: string.lower()}))
IS_ANY_TOKEN = matcher.vocab.add_flag(lambda x: True)
matcher.add_pattern(
"FarAway",
[
{LOWER: "bob"},
{'OP': '*', IS_ANY_TOKEN: True},
{LOWER: 'frank'}
])
doc = Doc(matcher.vocab, words=['bob', 'and', 'and', 'frank'])
match = matcher(doc)
assert len(match) == 1
ent_id, label, start, end = match[0]
assert start == 0
assert end == 4

12
spacy/tests/regression/test_issue859.py Normal file
View File

@ -0,0 +1,12 @@
# encoding: utf8
from __future__ import unicode_literals
import pytest
@pytest.mark.parametrize('text', ["aaabbb@ccc.com\nThank you!",
"aaabbb@ccc.com \nThank you!"])
def test_issue859(en_tokenizer, text):
"""Test that no extra space is added in doc.text method."""
doc = en_tokenizer(text)
assert doc.text == text

40
spacy/tests/test_pickles.py Normal file
View File

@ -0,0 +1,40 @@
from __future__ import unicode_literals
import io
import pytest
import dill as pickle
from ..strings import StringStore
from ..vocab import Vocab
from ..attrs import NORM
def test_pickle_string_store():
sstore = StringStore()
hello = sstore['hello']
bye = sstore['bye']
bdata = pickle.dumps(sstore, protocol=-1)
unpickled = pickle.loads(bdata)
assert unpickled['hello'] == hello
assert unpickled['bye'] == bye
assert len(sstore) == len(unpickled)
@pytest.mark.xfail
def test_pickle_vocab():
vocab = Vocab(lex_attr_getters={int(NORM): lambda string: string[:-1]})
dog = vocab[u'dog']
cat = vocab[u'cat']
assert dog.norm_ == 'do'
assert cat.norm_ == 'ca'
bdata = pickle.dumps(vocab)
unpickled = pickle.loads(bdata)
assert unpickled[u'dog'].orth == dog.orth
assert unpickled[u'cat'].orth == cat.orth
assert unpickled[u'dog'].norm == dog.norm
assert unpickled[u'cat'].norm == cat.norm
dog_ = unpickled[u'dog']
cat_ = unpickled[u'cat']
assert dog_.norm != cat_.norm

6
spacy/tokenizer.pyx
View File

@ -163,7 +163,6 @@ cdef class Tokenizer:
start = i
in_ws = not in_ws
i += 1
i += 1
if start < i:
span = string[start:]
key = hash_string(span)
@ -275,7 +274,10 @@ cdef class Tokenizer:
if cache_hit:
pass
elif self.token_match and self.token_match(string):
tokens.push_back(self.vocab.get(tokens.mem, string), not suffixes.size())
# We're always saying 'no' to spaces here -- the caller will
# fix up the outermost one, with reference to the original.
# See Issue #859
tokens.push_back(self.vocab.get(tokens.mem, string), False)
else:
matches = self.find_infix(string)
if not matches:

2
spacy/tokens/doc.pyx
View File

@ -16,7 +16,7 @@ from ..typedefs cimport attr_t, flags_t
from ..attrs cimport attr_id_t
from ..attrs cimport ID, ORTH, NORM, LOWER, SHAPE, PREFIX, SUFFIX, LENGTH, CLUSTER
from ..attrs cimport POS, LEMMA, TAG, DEP, HEAD, SPACY, ENT_IOB, ENT_TYPE
from ..parts_of_speech cimport CONJ, PUNCT, NOUN
from ..parts_of_speech cimport CCONJ, PUNCT, NOUN
from ..parts_of_speech cimport univ_pos_t
from ..lexeme cimport Lexeme
from .span cimport Span

2
spacy/tokens/token.pyx
View File

@ -20,7 +20,7 @@ from .. import parts_of_speech
from ..attrs cimport LEMMA
from ..attrs cimport ID, ORTH, NORM, LOWER, SHAPE, PREFIX, SUFFIX, LENGTH, CLUSTER
from ..attrs cimport POS, LEMMA, TAG, DEP
from ..parts_of_speech cimport CONJ, PUNCT
from ..parts_of_speech cimport CCONJ, PUNCT
from ..attrs cimport IS_ALPHA, IS_ASCII, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_SPACE
from ..attrs cimport IS_BRACKET

116
spacy/vocab.pyx
View File

@ -9,11 +9,16 @@ import bz2
import ujson as json
import re
try:
import cPickle as pickle
except ImportError:
import pickle
from .lexeme cimport EMPTY_LEXEME
from .lexeme cimport Lexeme
from .strings cimport hash_string
from .typedefs cimport attr_t
from .cfile cimport CFile
from .cfile cimport CFile, StringCFile
from .lemmatizer import Lemmatizer
from .attrs import intify_attrs
from .tokens.token cimport Token
@ -346,17 +351,18 @@ cdef class Vocab:
Token.set_struct_attr(token, attr_id, value)
return tokens
def dump(self, loc):
"""Save the lexemes binary data to the given location.
def dump(self, loc=None):
"""Save the lexemes binary data to the given location, or
return a byte-string with the data if loc is None.
Arguments:
loc (Path): The path to save to.
loc (Path or None): The path to save to, or None.
"""
if hasattr(loc, 'as_posix'):
loc = loc.as_posix()
cdef bytes bytes_loc = loc.encode('utf8') if type(loc) == unicode else loc
cdef CFile fp = CFile(bytes_loc, 'wb')
cdef CFile fp
if loc is None:
fp = StringCFile('wb')
else:
fp = CFile(loc, 'wb')
cdef size_t st
cdef size_t addr
cdef hash_t key
@ -378,6 +384,8 @@ cdef class Vocab:
fp.write_from(&lexeme.l2_norm, sizeof(lexeme.l2_norm), 1)
fp.write_from(&lexeme.lang, sizeof(lexeme.lang), 1)
fp.close()
if loc is None:
return fp.string_data()
def load_lexemes(self, loc):
'''Load the binary vocabulary data from the given location.
@ -427,6 +435,60 @@ cdef class Vocab:
i += 1
fp.close()
def _deserialize_lexemes(self, CFile fp):
'''Load the binary vocabulary data from the given CFile.
'''
cdef LexemeC* lexeme
cdef hash_t key
cdef unicode py_str
cdef attr_t orth
assert sizeof(orth) == sizeof(lexeme.orth)
i = 0
cdef int todo = fp.size
cdef int lex_size = sizeof(lexeme.flags)
lex_size += sizeof(lexeme.id)
lex_size += sizeof(lexeme.length)
lex_size += sizeof(lexeme.orth)
lex_size += sizeof(lexeme.lower)
lex_size += sizeof(lexeme.norm)
lex_size += sizeof(lexeme.shape)
lex_size += sizeof(lexeme.prefix)
lex_size += sizeof(lexeme.suffix)
lex_size += sizeof(lexeme.cluster)
lex_size += sizeof(lexeme.prob)
lex_size += sizeof(lexeme.sentiment)
lex_size += sizeof(lexeme.l2_norm)
lex_size += sizeof(lexeme.lang)
while True:
if todo < lex_size:
break
todo -= lex_size
lexeme = <LexemeC*>self.mem.alloc(sizeof(LexemeC), 1)
# Copy data from the file into the lexeme
fp.read_into(&lexeme.flags, 1, sizeof(lexeme.flags))
fp.read_into(&lexeme.id, 1, sizeof(lexeme.id))
fp.read_into(&lexeme.length, 1, sizeof(lexeme.length))
fp.read_into(&lexeme.orth, 1, sizeof(lexeme.orth))
fp.read_into(&lexeme.lower, 1, sizeof(lexeme.lower))
fp.read_into(&lexeme.norm, 1, sizeof(lexeme.norm))
fp.read_into(&lexeme.shape, 1, sizeof(lexeme.shape))
fp.read_into(&lexeme.prefix, 1, sizeof(lexeme.prefix))
fp.read_into(&lexeme.suffix, 1, sizeof(lexeme.suffix))
fp.read_into(&lexeme.cluster, 1, sizeof(lexeme.cluster))
fp.read_into(&lexeme.prob, 1, sizeof(lexeme.prob))
fp.read_into(&lexeme.sentiment, 1, sizeof(lexeme.sentiment))
fp.read_into(&lexeme.l2_norm, 1, sizeof(lexeme.l2_norm))
fp.read_into(&lexeme.lang, 1, sizeof(lexeme.lang))
lexeme.vector = EMPTY_VEC
py_str = self.strings[lexeme.orth]
key = hash_string(py_str)
self._by_hash.set(key, lexeme)
self._by_orth.set(lexeme.orth, lexeme)
self.length += 1
i += 1
fp.close()
def dump_vectors(self, out_loc):
'''Save the word vectors to a binary file.
@ -553,6 +615,42 @@ cdef class Vocab:
return vec_len
def pickle_vocab(vocab):
sstore = vocab.strings
morph = vocab.morphology
length = vocab.length
serializer = vocab._serializer
data_dir = vocab.data_dir
lex_attr_getters = vocab.lex_attr_getters
lexemes_data = vocab.dump()
vectors_length = vocab.vectors_length
return (unpickle_vocab,
(sstore, morph, serializer, data_dir, lex_attr_getters,
lexemes_data, length, vectors_length))
def unpickle_vocab(sstore, morphology, serializer, data_dir,
lex_attr_getters, bytes lexemes_data, int length, int vectors_length):
cdef Vocab vocab = Vocab()
vocab.length = length
vocab.vectors_length = vectors_length
vocab.strings = sstore
cdef CFile fp = StringCFile('r', data=lexemes_data)
vocab.morphology = morphology
vocab._serializer = serializer
vocab.data_dir = data_dir
vocab.lex_attr_getters = lex_attr_getters
vocab._deserialize_lexemes(fp)
vocab.length = length
vocab.vectors_length = vectors_length
return vocab
copy_reg.pickle(Vocab, pickle_vocab, unpickle_vocab)
def write_binary_vectors(in_loc, out_loc):
cdef CFile out_file = CFile(out_loc, 'wb')
cdef Address mem