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37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
# encoding: utf8
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from __future__ import unicode_literals
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from ...symbols import ORTH, LEMMA, POS, ADV, ADJ, NOUN, ADP
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_exc = {}
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for exc_data in [
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{ORTH: "m.in.", LEMMA: "między innymi", POS: ADV},
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{ORTH: "inż.", LEMMA: "inżynier", POS: NOUN},
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{ORTH: "mgr.", LEMMA: "magister", POS: NOUN},
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{ORTH: "tzn.", LEMMA: "to znaczy", POS: ADV},
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{ORTH: "tj.", LEMMA: "to jest", POS: ADV},
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{ORTH: "tzw.", LEMMA: "tak zwany", POS: ADJ},
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{ORTH: "adw.", LEMMA: "adwokat", POS: NOUN},
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{ORTH: "afr.", LEMMA: "afrykański", POS: ADJ},
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{ORTH: "c.b.d.o.", LEMMA: "co było do okazania", POS: ADV},
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{ORTH: "cbdu.", LEMMA: "co było do udowodnienia", POS: ADV},
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{ORTH: "mn.w.", LEMMA: "mniej więcej", POS: ADV},
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{ORTH: "nt.", LEMMA: "na temat", POS: ADP},
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{ORTH: "ok.", LEMMA: "około"},
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{ORTH: "n.p.u.", LEMMA: "na psa urok"},
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{ORTH: "ww.", LEMMA: "wyżej wymieniony", POS: ADV}]:
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_exc[exc_data[ORTH]] = [exc_data]
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for orth in [
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"w.", "r.", "br.", "bm.", "b.r.", "amer.", "am.", "bdb.", "św.", "p.", "lit.",
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"wym.", "czyt.", "daw.", "d.", "zob.", "gw.", "dn.", "dyr.", "im.", "mł.",
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"min.", "dot.", "muz.", "k.k.", "k.p.a.", "k.p.c.", "n.p.m.", "p.p.m.", "nb.",
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"ob.", "n.e.", "p.n.e.", "zw.", "zool.", "zach.", "żarg.", "żart.", "wzgl.",
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"wyj.", "xx.", "ks.", "x.", "wyd.", "wsch.", "o.o."]:
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_exc[orth] = [{ORTH: orth}]
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TOKENIZER_EXCEPTIONS = _exc
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