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* Add symbols to the vocab before reading the strings, so that they line up correctly

This commit is contained in:
Matthew Honnibal 2015-10-10 17:58:29 +11:00
parent 94bafc1417
commit 1cac36bf1c
1 changed files with 10 additions and 7 deletions
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17
spacy/vocab.pyx
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@ -19,6 +19,9 @@ from .typedefs cimport attr_t
from .cfile cimport CFile
from .lemmatizer import Lemmatizer
from . import attrs
from . import parts_of_speech
from cymem.cymem cimport Address
from . import util
from .serialize.packer cimport Packer
@ -72,15 +75,15 @@ cdef class Vocab:
# is the frequency rank of the word, plus a certain offset. The structural
# strings are loaded first, because the vocab is open-class, and these
# symbols are closed class.
#for attr_name in sorted(ATTR_NAMES.keys()):
# _ = self.strings[attr_name]
#for univ_pos_name in sorted(UNIV_POS_NAMES.keys()):
# _ = self.strings[pos_name]
#for morph_name in sorted(UNIV_MORPH_NAMES.keys()):
for name in attrs.NAMES:
_ = self.strings[name]
for name in parts_of_speech.NAMES:
_ = self.strings[name]
#for morph_name in UNIV_MORPH_NAMES:
# _ = self.strings[morph_name]
#for entity_type_name in sorted(ENTITY_TYPES.keys()):
#for entity_type_name in entity_types.NAMES:
# _ = self.strings[entity_type_name]
#for tag_name in sorted(TAG_MAP.keys()):
#for tag_name in sorted(tag_map.keys()):
# _ = self.strings[tag_name]
self.get_lex_attr = get_lex_attr
self.morphology = Morphology(self.strings, tag_map, lemmatizer)