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72 lines
1.5 KiB
Python
72 lines
1.5 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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from ...symbols import ORTH, LEMMA, NORM, PRON_LEMMA
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_exc = {
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"pal": [{ORTH: "pa", LEMMA: "para"}, {ORTH: "l", LEMMA: "el", NORM: "el"}],
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"pala": [{ORTH: "pa", LEMMA: "para"}, {ORTH: "la", LEMMA: "la", NORM: "la"}],
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}
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for exc_data in [
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{ORTH: "aprox.", LEMMA: "aproximadamente"},
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{ORTH: "dna.", LEMMA: "docena"},
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{ORTH: "esq.", LEMMA: "esquina"},
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{ORTH: "pág.", LEMMA: "página"},
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{ORTH: "p.ej.", LEMMA: "por ejemplo"},
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{ORTH: "Ud.", LEMMA: PRON_LEMMA, NORM: "usted"},
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{ORTH: "Vd.", LEMMA: PRON_LEMMA, NORM: "usted"},
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{ORTH: "Uds.", LEMMA: PRON_LEMMA, NORM: "ustedes"},
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{ORTH: "Vds.", LEMMA: PRON_LEMMA, NORM: "ustedes"},
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]:
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_exc[exc_data[ORTH]] = [exc_data]
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# Times
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_exc["12m."] = [{ORTH: "12"}, {ORTH: "m.", LEMMA: "p.m."}]
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for h in range(1, 12 + 1):
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for period in ["a.m.", "am"]:
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_exc["%d%s" % (h, period)] = [{ORTH: "%d" % h}, {ORTH: period, LEMMA: "a.m."}]
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for period in ["p.m.", "pm"]:
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_exc["%d%s" % (h, period)] = [{ORTH: "%d" % h}, {ORTH: period, LEMMA: "p.m."}]
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for orth in [
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"a.C.",
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"a.J.C.",
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"apdo.",
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"Av.",
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"Avda.",
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"Cía.",
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"EE.UU.",
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"etc.",
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"fig.",
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"Gob.",
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"Gral.",
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"Ing.",
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"J.C.",
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"km/h",
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"Lic.",
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"m.n.",
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"núm.",
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"P.D.",
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"Prof.",
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"Profa.",
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"q.e.p.d.",
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"S.A.",
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"S.L.",
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"s.s.s.",
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"Sr.",
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"Sra.",
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"Srta.",
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]:
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_exc[orth] = [{ORTH: orth}]
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TOKENIZER_EXCEPTIONS = _exc
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