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54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
# encoding: utf8
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from __future__ import unicode_literals
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from .. import language_data as base
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from ..language_data import update_exc, strings_to_exc, expand_exc
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from ..symbols import ORTH, LEMMA
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from .tag_map import TAG_MAP
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from .stop_words import STOP_WORDS
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS, ORTH_ONLY
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from .lemma_rules import LEMMA_RULES
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from .morph_rules import MORPH_RULES
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def get_time_exc(hours):
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exc = {}
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for hour in hours:
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exc["%sa.m." % hour] = [
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{ORTH: hour},
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{ORTH: "a.m."}
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]
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exc["%sp.m." % hour] = [
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{ORTH: hour},
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{ORTH: "p.m."}
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]
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exc["%sam" % hour] = [
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{ORTH: hour},
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{ORTH: "am", LEMMA: "a.m."}
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]
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exc["%spm" % hour] = [
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{ORTH: hour},
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{ORTH: "pm", LEMMA: "p.m."}
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]
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return exc
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TAG_MAP = dict(TAG_MAP)
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STOP_WORDS = set(STOP_WORDS)
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TOKENIZER_EXCEPTIONS = dict(TOKENIZER_EXCEPTIONS)
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update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(ORTH_ONLY))
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update_exc(TOKENIZER_EXCEPTIONS, get_time_exc(
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['%d' % hour for hour in range(1, 12 + 1)]))
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update_exc(TOKENIZER_EXCEPTIONS, expand_exc(TOKENIZER_EXCEPTIONS, "'", "’"))
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update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(base.EMOTICONS))
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update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(base.ABBREVIATIONS))
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__all__ = ["TOKENIZER_EXCEPTIONS", "TAG_MAP", "STOP_WORDS", "LEMMA_RULES", "MORPH_RULES"]
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