# coding: utf8 from __future__ import unicode_literals from ..symbols import * from ..language_data import PRON_LEMMA EXC = {} 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} ] EXC[orth + "m"] = [ {ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"}, {ORTH: "m", LEMMA: "be", TAG: "VBP", "tenspect": 1, "number": 1 } ] EXC[orth + "'ma"] = [ {ORTH: orth, LEMMA: PRON_LEMMA, TAG: "PRP"}, {ORTH: "'m", LEMMA: "be", NORM: "am"}, {ORTH: "a", LEMMA: "going to", NORM: "gonna"} ] 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", TAG: "VBZ"} ] 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) ] # Times for h in range(1, 12 + 1): hour = str(h) for period in ["a.m.", "am"]: EXC[hour + period] = [ {ORTH: hour}, {ORTH: period, LEMMA: "a.m."} ] for period in ["p.m.", "pm"]: EXC[hour + period] = [ {ORTH: hour}, {ORTH: period, LEMMA: "p.m."} ] # 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"} ] } 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", "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.", ]