mirror of https://github.com/explosion/spaCy.git
161 lines
3.7 KiB
Python
161 lines
3.7 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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from ...symbols import LEMMA, NORM, ORTH, PRON_LEMMA, PUNCT, TAG
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_exc = {}
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# Verbs
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for verb_data in [
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{ORTH: "driver"},
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{ORTH: "kör"},
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{ORTH: "hörr", LEMMA: "hör"},
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{ORTH: "fattar"},
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{ORTH: "hajar", LEMMA: "förstår"},
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{ORTH: "lever"},
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{ORTH: "serr", LEMMA: "ser"},
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{ORTH: "fixar"},
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]:
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verb_data_tc = dict(verb_data)
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verb_data_tc[ORTH] = verb_data_tc[ORTH].title()
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for data in [verb_data, verb_data_tc]:
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_exc[data[ORTH] + "u"] = [
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dict(data),
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{ORTH: "u", LEMMA: PRON_LEMMA, NORM: "du"},
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]
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# Abbreviations for weekdays "sön." (for "söndag" / "söner")
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# are left out because they are ambiguous. The same is the case
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# for abbreviations "jul." and "Jul." ("juli" / "jul").
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for exc_data in [
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{ORTH: "jan.", LEMMA: "januari"},
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{ORTH: "febr.", LEMMA: "februari"},
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{ORTH: "feb.", LEMMA: "februari"},
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{ORTH: "apr.", LEMMA: "april"},
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{ORTH: "jun.", LEMMA: "juni"},
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{ORTH: "aug.", LEMMA: "augusti"},
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{ORTH: "sept.", LEMMA: "september"},
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{ORTH: "sep.", LEMMA: "september"},
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{ORTH: "okt.", LEMMA: "oktober"},
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{ORTH: "nov.", LEMMA: "november"},
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{ORTH: "dec.", LEMMA: "december"},
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{ORTH: "mån.", LEMMA: "måndag"},
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{ORTH: "tis.", LEMMA: "tisdag"},
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{ORTH: "ons.", LEMMA: "onsdag"},
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{ORTH: "tors.", LEMMA: "torsdag"},
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{ORTH: "fre.", LEMMA: "fredag"},
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{ORTH: "lör.", LEMMA: "lördag"},
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{ORTH: "Jan.", LEMMA: "Januari"},
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{ORTH: "Febr.", LEMMA: "Februari"},
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{ORTH: "Feb.", LEMMA: "Februari"},
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{ORTH: "Apr.", LEMMA: "April"},
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{ORTH: "Jun.", LEMMA: "Juni"},
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{ORTH: "Aug.", LEMMA: "Augusti"},
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{ORTH: "Sept.", LEMMA: "September"},
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{ORTH: "Sep.", LEMMA: "September"},
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{ORTH: "Okt.", LEMMA: "Oktober"},
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{ORTH: "Nov.", LEMMA: "November"},
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{ORTH: "Dec.", LEMMA: "December"},
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{ORTH: "Mån.", LEMMA: "Måndag"},
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{ORTH: "Tis.", LEMMA: "Tisdag"},
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{ORTH: "Ons.", LEMMA: "Onsdag"},
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{ORTH: "Tors.", LEMMA: "Torsdag"},
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{ORTH: "Fre.", LEMMA: "Fredag"},
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{ORTH: "Lör.", LEMMA: "Lördag"},
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{ORTH: "sthlm", LEMMA: "Stockholm"},
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{ORTH: "gbg", LEMMA: "Göteborg"},
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]:
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_exc[exc_data[ORTH]] = [exc_data]
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# Specific case abbreviations only
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for orth in ["AB", "Dr.", "H.M.", "H.K.H.", "m/s", "M/S", "Ph.d.", "S:t", "s:t"]:
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_exc[orth] = [{ORTH: orth}]
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ABBREVIATIONS = [
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"ang",
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"anm",
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"bl.a",
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"d.v.s",
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"doc",
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"dvs",
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"e.d",
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"e.kr",
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"el.",
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"eng",
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"etc",
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"exkl",
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"ev",
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"f.",
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"f.d",
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"f.kr",
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"f.n",
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"f.ö",
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"fid",
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"fig",
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"forts",
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"fr.o.m",
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"förf",
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"inkl",
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"iofs",
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"jur.",
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"kap",
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"kl",
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"kor.",
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"kr",
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"kungl",
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"lat",
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"m.a.o",
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"m.fl",
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"m.m",
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"max",
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"milj",
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"min.",
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"mos",
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"mt",
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"mvh",
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"o.d",
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"o.s.v",
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"obs",
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"osv",
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"p.g.a",
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"proc",
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"prof",
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"ref",
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"resp",
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"s.a.s",
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"s.k",
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"s.t",
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"sid",
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"t.ex",
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"t.h",
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"t.o.m",
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"t.v",
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"tel",
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"ung.",
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"vol",
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"v.",
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"äv",
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"övers",
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]
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# Add abbreviation for trailing punctuation too. If the abbreviation already has a trailing punctuation - skip it.
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for abbr in ABBREVIATIONS:
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if abbr.endswith(".") == False:
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ABBREVIATIONS.append(abbr + ".")
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for orth in ABBREVIATIONS:
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_exc[orth] = [{ORTH: orth}]
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capitalized = orth.capitalize()
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_exc[capitalized] = [{ORTH: capitalized}]
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# Sentences ending in "i." (as in "... peka i."), "m." (as in "...än 2000 m."),
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# should be tokenized as two separate tokens.
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for orth in ["i", "m"]:
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_exc[orth + "."] = [{ORTH: orth, LEMMA: orth, NORM: orth}, {ORTH: ".", TAG: PUNCT}]
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TOKENIZER_EXCEPTIONS = _exc
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