spaCy/spacy/senses.pyx

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2015-07-01 19:49:44 +03:00
from __future__ import unicode_literals
cimport parts_of_speech
POS_SENSES[<int>parts_of_speech.NO_TAG] = 0
POS_SENSES[<int>parts_of_speech.ADJ] = 0
POS_SENSES[<int>parts_of_speech.ADV] = 0
POS_SENSES[<int>parts_of_speech.ADP] = 0
POS_SENSES[<int>parts_of_speech.CONJ] = 0
POS_SENSES[<int>parts_of_speech.DET] = 0
POS_SENSES[<int>parts_of_speech.NOUN] = 0
POS_SENSES[<int>parts_of_speech.NUM] = 0
POS_SENSES[<int>parts_of_speech.PRON] = 0
POS_SENSES[<int>parts_of_speech.PRT] = 0
POS_SENSES[<int>parts_of_speech.VERB] = 0
POS_SENSES[<int>parts_of_speech.X] = 0
POS_SENSES[<int>parts_of_speech.PUNCT] = 0
POS_SENSES[<int>parts_of_speech.EOL] = 0
cdef int _sense = 0
for _sense in range(A_behavior, N_act):
POS_SENSES[<int>parts_of_speech.ADJ] |= 1 << _sense
for _sense in range(N_act, V_body):
POS_SENSES[<int>parts_of_speech.NOUN] |= 1 << _sense
for _sense in range(V_body, V_weather+1):
POS_SENSES[<int>parts_of_speech.VERB] |= 1 << _sense
2015-07-01 19:49:44 +03:00
STRINGS = (
'A_behavior',
'A_body',
'A_feeling',
'A_mind',
'A_motion',
'A_perception',
'A_quantity',
'A_relation',
'A_social',
'A_spatial',
'A_substance',
'A_time',
'A_weather',
'N_act',
'N_animal',
'N_artifact',
'N_attribute',
'N_body',
'N_cognition',
'N_communication',
'N_event',
'N_feeling',
'N_food',
'N_group',
'N_location',
'N_motive',
'N_object',
'N_person',
'N_phenomenon',
'N_plant',
'N_possession',
'N_process',
'N_quantity',
'N_relation',
'N_shape',
'N_state',
'N_substance',
'N_time',
'V_body',
'V_change',
'V_cognition',
'V_communication',
'V_competition',
'V_consumption',
'V_contact',
'V_creation',
'V_emotion',
'V_motion',
'V_perception',
'V_possession',
'V_social',
'V_stative',
'V_weather'
)