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