spaCy/spacy/en/tokenizer_exceptions.py

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2017-03-12 12:07:28 +00:00
# coding: utf8
from __future__ import unicode_literals
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from ..symbols import *
from ..language_data import PRON_LEMMA
EXC = {}
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EXCLUDE_EXC = ["Ill", "ill", "Its", "its", "Hell", "hell", "Shell", "shell",
"Shed", "shed", "were", "Were", "Well", "well", "Whore", "whore"]
# Pronouns
for pron in ["i"]:
for orth in [pron, pron.title()]:
EXC[orth + "'m"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "'m", LEMMA: "be", TAG: "VBP", "tenspect": 1, "number": 1}
]
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EXC[orth + "m"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "m", LEMMA: "be", TAG: "VBP", "tenspect": 1, "number": 1 }
]
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EXC[orth + "'ma"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "'m", LEMMA: "be", NORM: "am"},
{ORTH: "a", LEMMA: "going to", NORM: "gonna"}
]
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EXC[orth + "ma"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "m", LEMMA: "be", NORM: "am"},
{ORTH: "a", LEMMA: "going to", NORM: "gonna"}
]
for pron in ["i", "you", "he", "she", "it", "we", "they"]:
for orth in [pron, pron.title()]:
EXC[orth + "'ll"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "'ll", LEMMA: "will", TAG: "MD"}
]
EXC[orth + "ll"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "ll", LEMMA: "will", TAG: "MD"}
]
EXC[orth + "'ll've"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "'ll", LEMMA: "will", TAG: "MD"},
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
]
EXC[orth + "llve"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "ll", LEMMA: "will", TAG: "MD"},
{ORTH: "ve", LEMMA: "have", TAG: "VB"}
]
EXC[orth + "'d"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "'d", LEMMA: "would", TAG: "MD"}
]
EXC[orth + "d"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "d", LEMMA: "would", TAG: "MD"}
]
EXC[orth + "'d've"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "'d", LEMMA: "would", TAG: "MD"},
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
]
EXC[orth + "dve"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "d", LEMMA: "would", TAG: "MD"},
{ORTH: "ve", LEMMA: "have", TAG: "VB"}
]
for pron in ["i", "you", "we", "they"]:
for orth in [pron, pron.title()]:
EXC[orth + "'ve"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
]
EXC[orth + "ve"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "ve", LEMMA: "have", TAG: "VB"}
]
for pron in ["you", "we", "they"]:
for orth in [pron, pron.title()]:
EXC[orth + "'re"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "'re", LEMMA: "be", NORM: "are"}
]
EXC[orth + "re"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "re", LEMMA: "be", NORM: "are"}
]
for pron in ["he", "she", "it"]:
for orth in [pron, pron.title()]:
EXC[orth + "'s"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "'s"}
]
EXC[orth + "s"] = [
{ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"},
{ORTH: "s"}
]
# W-words, relative pronouns, prepositions etc.
for word in ["who", "what", "when", "where", "why", "how", "there", "that"]:
for orth in [word, word.title()]:
EXC[orth + "'s"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "'s"}
]
EXC[orth + "s"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "s"}
]
EXC[orth + "'ll"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "'ll", LEMMA: "will", TAG: "MD"}
]
EXC[orth + "ll"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "ll", LEMMA: "will", TAG: "MD"}
]
EXC[orth + "'ll've"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "'ll", LEMMA: "will", TAG: "MD"},
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
]
EXC[orth + "llve"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "ll", LEMMA: "will", TAG: "MD"},
{ORTH: "ve", LEMMA: "have", TAG: "VB"}
]
EXC[orth + "'re"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "'re", LEMMA: "be", NORM: "are"}
]
EXC[orth + "re"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "re", LEMMA: "be", NORM: "are"}
]
EXC[orth + "'ve"] = [
{ORTH: orth},
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
]
EXC[orth + "ve"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
]
EXC[orth + "'d"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "'d"}
]
EXC[orth + "d"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "d"}
]
EXC[orth + "'d've"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "'d", LEMMA: "would", TAG: "MD"},
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
]
EXC[orth + "dve"] = [
{ORTH: orth, LEMMA: word},
{ORTH: "d", LEMMA: "would", TAG: "MD"},
{ORTH: "ve", LEMMA: "have", TAG: "VB"}
]
# Verbs
for verb_data in [
{ORTH: "ca", LEMMA: "can", TAG: "MD"},
{ORTH: "could", TAG: "MD"},
{ORTH: "do", LEMMA: "do"},
{ORTH: "does", LEMMA: "do"},
{ORTH: "did", LEMMA: "do", TAG: "VBD"},
{ORTH: "had", LEMMA: "have", TAG: "VBD"},
{ORTH: "may"},
{ORTH: "might"},
{ORTH: "must"},
{ORTH: "need"},
{ORTH: "ought"},
{ORTH: "sha", LEMMA: "shall"},
{ORTH: "should"},
{ORTH: "wo", LEMMA: "will"},
{ORTH: "would"}
]:
verb_data_tc = dict(verb_data)
verb_data_tc[ORTH] = verb_data_tc[ORTH].title()
for data in [verb_data, verb_data_tc]:
EXC[data[ORTH] + "n't"] = [
dict(data),
{ORTH: "n't", LEMMA: "not", TAG: "RB"}
]
EXC[data[ORTH] + "nt"] = [
dict(data),
{ORTH: "nt", LEMMA: "not", TAG: "RB"}
]
EXC[data[ORTH] + "n't've"] = [
dict(data),
{ORTH: "n't", LEMMA: "not", TAG: "RB"},
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
]
EXC[data[ORTH] + "ntve"] = [
dict(data),
{ORTH: "nt", LEMMA: "not", TAG: "RB"},
{ORTH: "ve", LEMMA: "have", TAG: "VB"}
]
for verb_data in [
{ORTH: "could", TAG: "MD"},
{ORTH: "might"},
{ORTH: "must"},
{ORTH: "should"}
]:
verb_data_tc = dict(verb_data)
verb_data_tc[ORTH] = verb_data_tc[ORTH].title()
for data in [verb_data, verb_data_tc]:
EXC[data[ORTH] + "'ve"] = [
dict(data),
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
]
EXC[data[ORTH] + "ve"] = [
dict(data),
{ORTH: "ve", LEMMA: "have", TAG: "VB"}
]
for verb_data in [
{ORTH: "ai", TAG: "VBP", "number": 2, LEMMA: "be"},
{ORTH: "are", LEMMA: "be", TAG: "VBP", "number": 2},
{ORTH: "is", LEMMA: "be", TAG: "VBZ"},
{ORTH: "was", LEMMA: "be"},
{ORTH: "were", LEMMA: "be"}
]:
verb_data_tc = dict(verb_data)
verb_data_tc[ORTH] = verb_data_tc[ORTH].title()
for data in [verb_data, verb_data_tc]:
EXC[data[ORTH] + "n't"] = [
dict(data),
{ORTH: "n't", LEMMA: "not", TAG: "RB"}
]
EXC[data[ORTH] + "nt"] = [
dict(data),
{ORTH: "nt", LEMMA: "not", TAG: "RB"}
]
# Other contractions with trailing apostrophe
for exc_data in [
{ORTH: "doin", LEMMA: "do", NORM: "doing"},
{ORTH: "goin", LEMMA: "go", NORM: "going"},
{ORTH: "nothin", LEMMA: "nothing"},
{ORTH: "nuthin", LEMMA: "nothing"},
{ORTH: "ol", LEMMA: "old"},
{ORTH: "somethin", LEMMA: "something"}
]:
exc_data_tc = dict(exc_data)
exc_data_tc[ORTH] = exc_data_tc[ORTH].title()
for data in [exc_data, exc_data_tc]:
data_apos = dict(data)
data_apos[ORTH] = data_apos[ORTH] + "'"
EXC[data[ORTH]] = [
dict(data)
]
EXC[data_apos[ORTH]] = [
dict(data_apos)
]
# Other contractions with leading apostrophe
for exc_data in [
{ORTH: "cause", LEMMA: "because"},
{ORTH: "em", LEMMA: PRON_LEMMA, NORM: "them"},
{ORTH: "ll", LEMMA: "will"},
{ORTH: "nuff", LEMMA: "enough"}
]:
exc_data_apos = dict(exc_data)
exc_data_apos[ORTH] = "'" + exc_data_apos[ORTH]
for data in [exc_data, exc_data_apos]:
EXC[data[ORTH]] = [
dict(data)
]
# Rest
OTHER = {
" ": [
{ORTH: " ", TAG: "SP"}
],
"\u00a0": [
{ORTH: "\u00a0", TAG: "SP", LEMMA: " "}
],
"'S": [
{ORTH: "'S", LEMMA: "'s"}
],
"'s": [
{ORTH: "'s", LEMMA: "'s"}
],
"'re": [
{ORTH: "'re", LEMMA: "be", NORM: "are"}
],
"\u2018S": [
{ORTH: "\u2018S", LEMMA: "'s"}
],
"\u2018s": [
{ORTH: "\u2018s", LEMMA: "'s"}
],
"and/or": [
{ORTH: "and/or", LEMMA: "and/or", TAG: "CC"}
],
"'Cause": [
{ORTH: "'Cause", LEMMA: "because"}
],
"y'all": [
{ORTH: "y'", LEMMA: PRON_LEMMA, NORM: "you"},
{ORTH: "all"}
],
"yall": [
{ORTH: "y", LEMMA: PRON_LEMMA, NORM: "you"},
{ORTH: "all"}
],
"ma'am": [
{ORTH: "ma'am", LEMMA: "madam"}
],
"Ma'am": [
{ORTH: "Ma'am", LEMMA: "madam"}
],
"o'clock": [
{ORTH: "o'clock", LEMMA: "o'clock"}
],
"O'clock": [
{ORTH: "O'clock", LEMMA: "o'clock"}
],
"how'd'y": [
{ORTH: "how", LEMMA: "how"},
{ORTH: "'d", LEMMA: "do"},
{ORTH: "'y", LEMMA: PRON_LEMMA, NORM: "you"}
],
"How'd'y": [
{ORTH: "How", LEMMA: "how"},
{ORTH: "'d", LEMMA: "do"},
{ORTH: "'y", LEMMA: PRON_LEMMA, NORM: "you"}
],
"not've": [
{ORTH: "not", LEMMA: "not", TAG: "RB"},
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
],
"notve": [
{ORTH: "not", LEMMA: "not", TAG: "RB"},
{ORTH: "ve", LEMMA: "have", TAG: "VB"}
],
"Not've": [
{ORTH: "Not", LEMMA: "not", TAG: "RB"},
{ORTH: "'ve", LEMMA: "have", TAG: "VB"}
],
"Notve": [
{ORTH: "Not", LEMMA: "not", TAG: "RB"},
{ORTH: "ve", LEMMA: "have", TAG: "VB"}
],
"cannot": [
{ORTH: "can", LEMMA: "can", TAG: "MD"},
{ORTH: "not", LEMMA: "not", TAG: "RB"}
],
"Cannot": [
{ORTH: "Can", LEMMA: "can", TAG: "MD"},
{ORTH: "not", LEMMA: "not", TAG: "RB"}
],
"gonna": [
{ORTH: "gon", LEMMA: "go", NORM: "going"},
{ORTH: "na", LEMMA: "to"}
],
"Gonna": [
{ORTH: "Gon", LEMMA: "go", NORM: "going"},
{ORTH: "na", LEMMA: "to"}
],
"gotta": [
{ORTH: "got"},
{ORTH: "ta", LEMMA: "to"}
],
"Gotta": [
{ORTH: "Got"},
{ORTH: "ta", LEMMA: "to"}
],
"let's": [
{ORTH: "let"},
{ORTH: "'s", LEMMA: PRON_LEMMA, NORM: "us"}
],
"Let's": [
{ORTH: "Let", LEMMA: "let"},
{ORTH: "'s", LEMMA: PRON_LEMMA, NORM: "us"}
],
"\u2014": [
{ORTH: "\u2014", TAG: ":", LEMMA: "--"}
],
"\n": [
{ORTH: "\n", TAG: "SP"}
],
"\t": [
{ORTH: "\t", TAG: "SP"}
]
}
# Abbreviations
ABBREVIATIONS = {
"Mt.": [
{ORTH: "Mt.", LEMMA: "Mount"}
],
"Ak.": [
{ORTH: "Ak.", LEMMA: "Alaska"}
],
"Ala.": [
{ORTH: "Ala.", LEMMA: "Alabama"}
],
"Apr.": [
{ORTH: "Apr.", LEMMA: "April"}
],
"Ariz.": [
{ORTH: "Ariz.", LEMMA: "Arizona"}
],
"Ark.": [
{ORTH: "Ark.", LEMMA: "Arkansas"}
],
"Aug.": [
{ORTH: "Aug.", LEMMA: "August"}
],
"Calif.": [
{ORTH: "Calif.", LEMMA: "California"}
],
"Colo.": [
{ORTH: "Colo.", LEMMA: "Colorado"}
],
"Conn.": [
{ORTH: "Conn.", LEMMA: "Connecticut"}
],
"Dec.": [
{ORTH: "Dec.", LEMMA: "December"}
],
"Del.": [
{ORTH: "Del.", LEMMA: "Delaware"}
],
"Feb.": [
{ORTH: "Feb.", LEMMA: "February"}
],
"Fla.": [
{ORTH: "Fla.", LEMMA: "Florida"}
],
"Ga.": [
{ORTH: "Ga.", LEMMA: "Georgia"}
],
"Ia.": [
{ORTH: "Ia.", LEMMA: "Iowa"}
],
"Id.": [
{ORTH: "Id.", LEMMA: "Idaho"}
],
"Ill.": [
{ORTH: "Ill.", LEMMA: "Illinois"}
],
"Ind.": [
{ORTH: "Ind.", LEMMA: "Indiana"}
],
"Jan.": [
{ORTH: "Jan.", LEMMA: "January"}
],
"Jul.": [
{ORTH: "Jul.", LEMMA: "July"}
],
"Jun.": [
{ORTH: "Jun.", LEMMA: "June"}
],
"Kan.": [
{ORTH: "Kan.", LEMMA: "Kansas"}
],
"Kans.": [
{ORTH: "Kans.", LEMMA: "Kansas"}
],
"Ky.": [
{ORTH: "Ky.", LEMMA: "Kentucky"}
],
"La.": [
{ORTH: "La.", LEMMA: "Louisiana"}
],
"Mar.": [
{ORTH: "Mar.", LEMMA: "March"}
],
"Mass.": [
{ORTH: "Mass.", LEMMA: "Massachusetts"}
],
"May.": [
{ORTH: "May.", LEMMA: "May"}
],
"Mich.": [
{ORTH: "Mich.", LEMMA: "Michigan"}
],
"Minn.": [
{ORTH: "Minn.", LEMMA: "Minnesota"}
],
"Miss.": [
{ORTH: "Miss.", LEMMA: "Mississippi"}
],
"N.C.": [
{ORTH: "N.C.", LEMMA: "North Carolina"}
],
"N.D.": [
{ORTH: "N.D.", LEMMA: "North Dakota"}
],
"N.H.": [
{ORTH: "N.H.", LEMMA: "New Hampshire"}
],
"N.J.": [
{ORTH: "N.J.", LEMMA: "New Jersey"}
],
"N.M.": [
{ORTH: "N.M.", LEMMA: "New Mexico"}
],
"N.Y.": [
{ORTH: "N.Y.", LEMMA: "New York"}
],
"Neb.": [
{ORTH: "Neb.", LEMMA: "Nebraska"}
],
"Nebr.": [
{ORTH: "Nebr.", LEMMA: "Nebraska"}
],
"Nev.": [
{ORTH: "Nev.", LEMMA: "Nevada"}
],
"Nov.": [
{ORTH: "Nov.", LEMMA: "November"}
],
"Oct.": [
{ORTH: "Oct.", LEMMA: "October"}
],
"Okla.": [
{ORTH: "Okla.", LEMMA: "Oklahoma"}
],
"Ore.": [
{ORTH: "Ore.", LEMMA: "Oregon"}
],
"Pa.": [
{ORTH: "Pa.", LEMMA: "Pennsylvania"}
],
"S.C.": [
{ORTH: "S.C.", LEMMA: "South Carolina"}
],
"Sep.": [
{ORTH: "Sep.", LEMMA: "September"}
],
"Sept.": [
{ORTH: "Sept.", LEMMA: "September"}
],
"Tenn.": [
{ORTH: "Tenn.", LEMMA: "Tennessee"}
],
"Va.": [
{ORTH: "Va.", LEMMA: "Virginia"}
],
"Wash.": [
{ORTH: "Wash.", LEMMA: "Washington"}
],
"Wis.": [
{ORTH: "Wis.", LEMMA: "Wisconsin"}
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]
}
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TOKENIZER_EXCEPTIONS = dict(EXC)
TOKENIZER_EXCEPTIONS.update(OTHER)
TOKENIZER_EXCEPTIONS.update(ABBREVIATIONS)
# Remove EXCLUDE_EXC if in exceptions
for string in EXCLUDE_EXC:
if string in TOKENIZER_EXCEPTIONS:
TOKENIZER_EXCEPTIONS.pop(string)
# Abbreviations with only one ORTH token
ORTH_ONLY = [
"'d",
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"a.m.",
"Adm.",
"Bros.",
"co.",
"Co.",
"Corp.",
"D.C.",
"Dr.",
"e.g.",
"E.g.",
"E.G.",
"Gen.",
"Gov.",
"i.e.",
"I.e.",
"I.E.",
"Inc.",
"Jr.",
"Ltd.",
"Md.",
"Messrs.",
"Mo.",
"Mont.",
"Mr.",
"Mrs.",
"Ms.",
"p.m.",
"Ph.D.",
"Rep.",
"Rev.",
"Sen.",
"St.",
"vs."
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]