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inflect.py
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inflect.py
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'''
inflect.py: correctly generate plurals, ordinals, indefinite articles;
convert numbers to words
Copyright (C) 2010 Paul Dyson
Bug fix by Peter Anick 3/13/2015 to handle terms like "mother-in-law"
Based upon the Perl module Lingua::EN::Inflect by Damian Conway.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
The original Perl module Lingua::EN::Inflect by Damian Conway is
available from http://search.cpan.org/~dconway/
This module can be downloaded at http://pypi.python.org/pypi/inflect
methods:
classical inflect
plural plural_noun plural_verb plural_adj singular_noun no num a an
compare compare_nouns compare_verbs compare_adjs
present_participle
ordinal
number_to_words
join
defnoun defverb defadj defa defan
INFLECTIONS: classical inflect
plural plural_noun plural_verb plural_adj singular_noun compare
no num a an present_participle
PLURALS: classical inflect
plural plural_noun plural_verb plural_adj singular_noun no num
compare compare_nouns compare_verbs compare_adjs
COMPARISONS: classical
compare compare_nouns compare_verbs compare_adjs
ARTICLES: classical inflect num a an
NUMERICAL: ordinal number_to_words
USER_DEFINED: defnoun defverb defadj defa defan
Exceptions:
UnknownClassicalModeError
BadNumValueError
BadChunkingOptionError
NumOutOfRangeError
BadUserDefinedPatternError
BadRcFileError
BadGenderError
'''
from re import match, search, subn, IGNORECASE, VERBOSE
from re import split as splitre
from re import error as reerror
from re import sub as resub
from os.path import dirname, isfile, expanduser
from os.path import join as pathjoin
# 3/13/2015 PGA added for debugging singular noun for hyphenated phrases
# >>> ie = inflect.engine()
# >>> ie.singular_noun("continuation-in-part")
import pdb
class UnknownClassicalModeError(Exception): pass
class BadNumValueError(Exception): pass
class BadChunkingOptionError(Exception): pass
class NumOutOfRangeError(Exception): pass
class BadUserDefinedPatternError(Exception): pass
class BadRcFileError(Exception): pass
class BadGenderError(Exception): pass
class _CaseError(Exception): pass
__ver_major__ = 0
__ver_minor__ = 2
__ver_patch__ = 1
__ver_sub__ = ""
__version__ = "%d.%d.%d%s" % (__ver_major__,__ver_minor__,
__ver_patch__,__ver_sub__)
STDOUT_ON = False
def print3(txt):
if STDOUT_ON:
print(txt)
def enclose(s):
return "(?:%s)" % s
def joinstem(cutpoint=0, words=''):
'''
join stem of each word in words into a string for regex
each word is truncated at cutpoint
cutpoint is usually negative indicating the number of letters to remove
from the end of each word
e.g.
joinstem(-2, ["ephemeris", "iris", ".*itis"]) returns
(?:ephemer|ir|.*it
'''
return enclose('|'.join(w[:cutpoint] for w in words))
def bysize(words):
'''
take a list of words and return a dict of lists sorted by word length
e.g.
ret[3]=['ant', 'cat', 'dog', 'eel']
ret[4]=['frog', 'goat']
ret[5]=['horse']
'''
ret = {}
for w in words:
if len(w) not in ret:
ret[len(w)] = set()
ret[len(w)].add(w)
return ret
def make_pl_si_lists(lst, plending, siendginsize, dojoinstem=True):
if siendginsize is not None:
siendginsize = -siendginsize
si_list = [w[:siendginsize] + plending for w in lst]
pl_bysize = bysize(lst)
si_bysize = bysize(si_list)
if dojoinstem:
stem = joinstem(siendginsize, lst)
return si_list, si_bysize, pl_bysize, stem
else:
return si_list, si_bysize, pl_bysize
# 1. PLURALS
pl_sb_irregular_s = {
"corpus" : "corpuses|corpora",
"opus" : "opuses|opera",
"genus" : "genera",
"mythos" : "mythoi",
"penis" : "penises|penes",
"testis" : "testes",
"atlas" : "atlases|atlantes",
"yes" : "yeses",
}
pl_sb_irregular = {
"child" : "children",
"brother" : "brothers|brethren",
"loaf" : "loaves",
"hoof" : "hoofs|hooves",
"beef" : "beefs|beeves",
"thief" : "thiefs|thieves",
"money" : "monies",
"mongoose" : "mongooses",
"ox" : "oxen",
"cow" : "cows|kine",
"graffito" : "graffiti",
"octopus" : "octopuses|octopodes",
"genie" : "genies|genii",
"ganglion" : "ganglions|ganglia",
"trilby" : "trilbys",
"turf" : "turfs|turves",
"numen" : "numina",
"atman" : "atmas",
"occiput" : "occiputs|occipita",
'sabretooth' : 'sabretooths',
'sabertooth' : 'sabertooths',
'lowlife' : 'lowlifes',
'flatfoot' : 'flatfoots',
'tenderfoot' : 'tenderfoots',
'romany' : 'romanies',
'jerry' : 'jerries',
'mary' : 'maries',
'talouse' : 'talouses',
'blouse' : 'blouses',
'rom' : 'roma',
'carmen' : 'carmina',
}
pl_sb_irregular.update(pl_sb_irregular_s)
#pl_sb_irregular_keys = enclose('|'.join(pl_sb_irregular.keys()))
pl_sb_irregular_caps = {
'Romany' : 'Romanies',
'Jerry' : 'Jerrys',
'Mary' : 'Marys',
'Rom' : 'Roma',
}
pl_sb_irregular_compound = {
"prima donna" : "prima donnas|prime donne",
}
si_sb_irregular = dict([(v, k) for (k, v) in pl_sb_irregular.iteritems()])
keys = si_sb_irregular.keys()
for k in keys:
if '|' in k:
k1, k2 = k.split('|')
si_sb_irregular[k1] = si_sb_irregular[k2] = si_sb_irregular[k]
del si_sb_irregular[k]
si_sb_irregular_caps = dict([(v, k) for (k, v) in pl_sb_irregular_caps.iteritems()])
si_sb_irregular_compound = dict([(v, k) for (k, v) in pl_sb_irregular_compound.iteritems()])
keys = si_sb_irregular_compound.keys()
for k in keys:
if '|' in k:
k1, k2 = k.split('|')
si_sb_irregular_compound[k1] = si_sb_irregular_compound[k2] = si_sb_irregular_compound[k]
del si_sb_irregular_compound[k]
#si_sb_irregular_keys = enclose('|'.join(si_sb_irregular.keys()))
# Z's that don't double
pl_sb_z_zes_list = (
"quartz", "topaz",
)
pl_sb_z_zes_bysize = bysize(pl_sb_z_zes_list)
pl_sb_ze_zes_list = ( 'snooze', )
pl_sb_ze_zes_bysize = bysize(pl_sb_ze_zes_list)
# CLASSICAL "..is" -> "..ides"
pl_sb_C_is_ides_complete = [
# GENERAL WORDS...
"ephemeris", "iris", "clitoris",
"chrysalis", "epididymis",
]
pl_sb_C_is_ides_endings = [
# INFLAMATIONS...
"itis",
]
pl_sb_C_is_ides = joinstem(-2, pl_sb_C_is_ides_complete +
['.*%s' % w for w in pl_sb_C_is_ides_endings] )
pl_sb_C_is_ides_list = pl_sb_C_is_ides_complete + pl_sb_C_is_ides_endings
(si_sb_C_is_ides_list, si_sb_C_is_ides_bysize,
pl_sb_C_is_ides_bysize) = make_pl_si_lists(
pl_sb_C_is_ides_list, 'ides', 2, dojoinstem=False)
# CLASSICAL "..a" -> "..ata"
pl_sb_C_a_ata_list = (
"anathema", "bema", "carcinoma", "charisma", "diploma",
"dogma", "drama", "edema", "enema", "enigma", "lemma",
"lymphoma", "magma", "melisma", "miasma", "oedema",
"sarcoma", "schema", "soma", "stigma", "stoma", "trauma",
"gumma", "pragma",
)
(si_sb_C_a_ata_list, si_sb_C_a_ata_bysize,
pl_sb_C_a_ata_bysize, pl_sb_C_a_ata) = make_pl_si_lists(
pl_sb_C_a_ata_list, 'ata', 1)
# UNCONDITIONAL "..a" -> "..ae"
pl_sb_U_a_ae_list = (
"alumna", "alga", "vertebra", "persona"
)
(si_sb_U_a_ae_list, si_sb_U_a_ae_bysize,
pl_sb_U_a_ae_bysize, pl_sb_U_a_ae) = make_pl_si_lists(
pl_sb_U_a_ae_list, 'e', None)
# CLASSICAL "..a" -> "..ae"
pl_sb_C_a_ae_list = (
"amoeba", "antenna", "formula", "hyperbola",
"medusa", "nebula", "parabola", "abscissa",
"hydra", "nova", "lacuna", "aurora", "umbra",
"flora", "fauna",
)
(si_sb_C_a_ae_list, si_sb_C_a_ae_bysize,
pl_sb_C_a_ae_bysize, pl_sb_C_a_ae) = make_pl_si_lists(
pl_sb_C_a_ae_list, 'e', None)
# CLASSICAL "..en" -> "..ina"
pl_sb_C_en_ina_list = (
"stamen", "foramen", "lumen",
)
(si_sb_C_en_ina_list, si_sb_C_en_ina_bysize,
pl_sb_C_en_ina_bysize, pl_sb_C_en_ina) = make_pl_si_lists(
pl_sb_C_en_ina_list, 'ina', 2)
# UNCONDITIONAL "..um" -> "..a"
pl_sb_U_um_a_list = (
"bacterium", "agendum", "desideratum", "erratum",
"stratum", "datum", "ovum", "extremum",
"candelabrum",
)
(si_sb_U_um_a_list, si_sb_U_um_a_bysize,
pl_sb_U_um_a_bysize, pl_sb_U_um_a) = make_pl_si_lists(
pl_sb_U_um_a_list, 'a', 2)
# CLASSICAL "..um" -> "..a"
pl_sb_C_um_a_list = (
"maximum", "minimum", "momentum", "optimum",
"quantum", "cranium", "curriculum", "dictum",
"phylum", "aquarium", "compendium", "emporium",
"enconium", "gymnasium", "honorarium", "interregnum",
"lustrum", "memorandum", "millennium", "rostrum",
"spectrum", "speculum", "stadium", "trapezium",
"ultimatum", "medium", "vacuum", "velum",
"consortium",
)
(si_sb_C_um_a_list, si_sb_C_um_a_bysize,
pl_sb_C_um_a_bysize, pl_sb_C_um_a) = make_pl_si_lists(
pl_sb_C_um_a_list, 'a', 2)
# UNCONDITIONAL "..us" -> "i"
pl_sb_U_us_i_list = (
"alumnus", "alveolus", "bacillus", "bronchus",
"locus", "nucleus", "stimulus", "meniscus",
"sarcophagus",
)
(si_sb_U_us_i_list, si_sb_U_us_i_bysize,
pl_sb_U_us_i_bysize, pl_sb_U_us_i) = make_pl_si_lists(
pl_sb_U_us_i_list, 'i', 2)
# CLASSICAL "..us" -> "..i"
pl_sb_C_us_i_list = (
"focus", "radius", "genius",
"incubus", "succubus", "nimbus",
"fungus", "nucleolus", "stylus",
"torus", "umbilicus", "uterus",
"hippopotamus", "cactus",
)
(si_sb_C_us_i_list, si_sb_C_us_i_bysize,
pl_sb_C_us_i_bysize, pl_sb_C_us_i) = make_pl_si_lists(
pl_sb_C_us_i_list, 'i', 2)
# CLASSICAL "..us" -> "..us" (ASSIMILATED 4TH DECLENSION LATIN NOUNS)
pl_sb_C_us_us = (
"status", "apparatus", "prospectus", "sinus",
"hiatus", "impetus", "plexus",
)
pl_sb_C_us_us_bysize = bysize(pl_sb_C_us_us)
# UNCONDITIONAL "..on" -> "a"
pl_sb_U_on_a_list = (
"criterion", "perihelion", "aphelion",
"phenomenon", "prolegomenon", "noumenon",
"organon", "asyndeton", "hyperbaton",
)
(si_sb_U_on_a_list, si_sb_U_on_a_bysize,
pl_sb_U_on_a_bysize, pl_sb_U_on_a) = make_pl_si_lists(
pl_sb_U_on_a_list, 'a', 2)
# CLASSICAL "..on" -> "..a"
pl_sb_C_on_a_list = (
"oxymoron",
)
(si_sb_C_on_a_list, si_sb_C_on_a_bysize,
pl_sb_C_on_a_bysize, pl_sb_C_on_a) = make_pl_si_lists(
pl_sb_C_on_a_list, 'a', 2)
# CLASSICAL "..o" -> "..i" (BUT NORMALLY -> "..os")
pl_sb_C_o_i = [
"solo", "soprano", "basso", "alto",
"contralto", "tempo", "piano", "virtuoso",
] # list not tuple so can concat for pl_sb_U_o_os
pl_sb_C_o_i_bysize = bysize(pl_sb_C_o_i)
si_sb_C_o_i_bysize = bysize(['%si' % w[:-1] for w in pl_sb_C_o_i])
pl_sb_C_o_i_stems = joinstem(-1, pl_sb_C_o_i)
# ALWAYS "..o" -> "..os"
pl_sb_U_o_os_complete = set((
"ado", "ISO", "NATO", "NCO", "NGO", "oto",
))
si_sb_U_o_os_complete = set('%ss' % w for w in pl_sb_U_o_os_complete)
pl_sb_U_o_os_endings = [
"aficionado", "aggro",
"albino", "allegro", "ammo",
"Antananarivo", "archipelago", "armadillo",
"auto", "avocado", "Bamako",
"Barquisimeto", "bimbo", "bingo",
"Biro", "bolero", "Bolzano",
"bongo", "Boto", "burro",
"Cairo", "canto", "cappuccino",
"casino", "cello", "Chicago",
"Chimango", "cilantro", "cochito",
"coco", "Colombo", "Colorado",
"commando", "concertino", "contango",
"credo", "crescendo", "cyano",
"demo", "ditto", "Draco",
"dynamo", "embryo", "Esperanto",
"espresso", "euro", "falsetto",
"Faro", "fiasco", "Filipino",
"flamenco", "furioso", "generalissimo",
"Gestapo", "ghetto", "gigolo",
"gizmo", "Greensboro", "gringo",
"Guaiabero", "guano", "gumbo",
"gyro", "hairdo", "hippo",
"Idaho", "impetigo", "inferno",
"info", "intermezzo", "intertrigo",
"Iquico", "jumbo",
"junto", "Kakapo", "kilo",
"Kinkimavo", "Kokako", "Kosovo",
"Lesotho", "libero", "libido",
"libretto", "lido", "Lilo",
"limbo", "limo", "lineno",
"lingo", "lino", "livedo",
"loco", "logo", "lumbago",
"macho", "macro", "mafioso",
"magneto", "magnifico", "Majuro",
"Malabo", "manifesto", "Maputo",
"Maracaibo", "medico", "memo",
"metro", "Mexico", "micro",
"Milano", "Monaco", "mono",
"Montenegro", "Morocco", "Muqdisho",
"myo",
"neutrino", "Ningbo",
"octavo", "oregano", "Orinoco",
"Orlando", "Oslo",
"panto", "Paramaribo", "Pardusco",
"pedalo", "photo", "pimento",
"pinto", "pleco", "Pluto",
"pogo", "polo", "poncho",
"Porto-Novo", "Porto", "pro",
"psycho", "pueblo", "quarto",
"Quito", "rhino", "risotto",
"rococo", "rondo", "Sacramento",
"saddo", "sago", "salvo",
"Santiago", "Sapporo", "Sarajevo",
"scherzando", "scherzo", "silo",
"sirocco", "sombrero", "staccato",
"sterno", "stucco", "stylo",
"sumo", "Taiko", "techno",
"terrazzo", "testudo", "timpano",
"tiro", "tobacco", "Togo",
"Tokyo", "torero", "Torino",
"Toronto", "torso", "tremolo",
"typo", "tyro", "ufo",
"UNESCO", "vaquero", "vermicello",
"verso", "vibrato", "violoncello",
"Virgo", "weirdo", "WHO",
"WTO", "Yamoussoukro", "yo-yo",
"zero", "Zibo",
] + pl_sb_C_o_i
pl_sb_U_o_os_bysize = bysize(pl_sb_U_o_os_endings)
si_sb_U_o_os_bysize = bysize(['%ss' % w for w in pl_sb_U_o_os_endings])
# UNCONDITIONAL "..ch" -> "..chs"
pl_sb_U_ch_chs_list = (
"czech", "eunuch", "stomach"
)
(si_sb_U_ch_chs_list, si_sb_U_ch_chs_bysize,
pl_sb_U_ch_chs_bysize, pl_sb_U_ch_chs) = make_pl_si_lists(
pl_sb_U_ch_chs_list, 's', None)
# UNCONDITIONAL "..[ei]x" -> "..ices"
pl_sb_U_ex_ices_list = (
"codex", "murex", "silex",
)
(si_sb_U_ex_ices_list, si_sb_U_ex_ices_bysize,
pl_sb_U_ex_ices_bysize, pl_sb_U_ex_ices) = make_pl_si_lists(
pl_sb_U_ex_ices_list, 'ices', 2)
pl_sb_U_ix_ices_list = (
"radix", "helix",
)
(si_sb_U_ix_ices_list, si_sb_U_ix_ices_bysize,
pl_sb_U_ix_ices_bysize, pl_sb_U_ix_ices) = make_pl_si_lists(
pl_sb_U_ix_ices_list, 'ices', 2)
# CLASSICAL "..[ei]x" -> "..ices"
pl_sb_C_ex_ices_list = (
"vortex", "vertex", "cortex", "latex",
"pontifex", "apex", "index", "simplex",
)
(si_sb_C_ex_ices_list, si_sb_C_ex_ices_bysize,
pl_sb_C_ex_ices_bysize, pl_sb_C_ex_ices) = make_pl_si_lists(
pl_sb_C_ex_ices_list, 'ices', 2)
pl_sb_C_ix_ices_list = (
"appendix",
)
(si_sb_C_ix_ices_list, si_sb_C_ix_ices_bysize,
pl_sb_C_ix_ices_bysize, pl_sb_C_ix_ices) = make_pl_si_lists(
pl_sb_C_ix_ices_list, 'ices', 2)
# ARABIC: ".." -> "..i"
pl_sb_C_i_list = (
"afrit", "afreet", "efreet",
)
(si_sb_C_i_list, si_sb_C_i_bysize,
pl_sb_C_i_bysize, pl_sb_C_i) = make_pl_si_lists(
pl_sb_C_i_list, 'i', None)
# HEBREW: ".." -> "..im"
pl_sb_C_im_list = (
"goy", "seraph", "cherub",
)
(si_sb_C_im_list, si_sb_C_im_bysize,
pl_sb_C_im_bysize, pl_sb_C_im) = make_pl_si_lists(
pl_sb_C_im_list, 'im', None)
# UNCONDITIONAL "..man" -> "..mans"
pl_sb_U_man_mans_list = """
ataman caiman cayman ceriman
desman dolman farman harman hetman
human leman ottoman shaman talisman
""".split()
pl_sb_U_man_mans_caps_list = """
Alabaman Bahaman Burman German
Hiroshiman Liman Nakayaman Norman Oklahoman
Panaman Roman Selman Sonaman Tacoman Yakiman
Yokohaman Yuman
""".split()
(si_sb_U_man_mans_list, si_sb_U_man_mans_bysize,
pl_sb_U_man_mans_bysize) = make_pl_si_lists(
pl_sb_U_man_mans_list, 's', None, dojoinstem=False)
(si_sb_U_man_mans_caps_list, si_sb_U_man_mans_caps_bysize,
pl_sb_U_man_mans_caps_bysize) = make_pl_si_lists(
pl_sb_U_man_mans_caps_list, 's', None, dojoinstem=False)
pl_sb_uninflected_s_complete = [
# PAIRS OR GROUPS SUBSUMED TO A SINGULAR...
"breeches", "britches", "pajamas", "pyjamas", "clippers", "gallows",
"hijinks", "headquarters", "pliers", "scissors", "testes", "herpes",
"pincers", "shears", "proceedings", "trousers",
# UNASSIMILATED LATIN 4th DECLENSION
"cantus", "coitus", "nexus",
# RECENT IMPORTS...
"contretemps", "corps", "debris",
"siemens",
# DISEASES
"mumps",
# MISCELLANEOUS OTHERS...
"diabetes", "jackanapes", "series", "species", "rabies",
"chassis", "innings", "news", "mews", "haggis",
]
pl_sb_uninflected_s_endings = [
# RECENT IMPORTS...
"ois",
# DISEASES
"measles",
]
pl_sb_uninflected_s = pl_sb_uninflected_s_complete + [ '.*%s' % w
for w in pl_sb_uninflected_s_endings]
pl_sb_uninflected_herd = (
# DON'T INFLECT IN CLASSICAL MODE, OTHERWISE NORMAL INFLECTION
"wildebeest", "swine", "eland", "bison", "buffalo",
"elk", "rhinoceros", 'zucchini',
'caribou', 'dace', 'grouse', 'guinea fowl', 'guinea-fowl',
'haddock', 'hake', 'halibut', 'herring', 'mackerel',
'pickerel', 'pike', 'roe', 'seed', 'shad',
'snipe', 'teal', 'turbot', 'water fowl', 'water-fowl',
)
pl_sb_uninflected_complete = [
# SOME FISH AND HERD ANIMALS
"tuna", "salmon", "mackerel", "trout",
"bream", "sea-bass", "sea bass", "carp", "cod", "flounder", "whiting",
"moose",
# OTHER ODDITIES
"graffiti", "djinn", 'samuri',
'offspring', 'pence', 'quid', 'hertz',
] + pl_sb_uninflected_s_complete
# SOME WORDS ENDING IN ...s (OFTEN PAIRS TAKEN AS A WHOLE)
pl_sb_uninflected_caps = [
# ALL NATIONALS ENDING IN -ese
"Portuguese", "Amoyese", "Borghese", "Congoese", "Faroese",
"Foochowese", "Genevese", "Genoese", "Gilbertese", "Hottentotese",
"Kiplingese", "Kongoese", "Lucchese", "Maltese", "Nankingese",
"Niasese", "Pekingese", "Piedmontese", "Pistoiese", "Sarawakese",
"Shavese", "Vermontese", "Wenchowese", "Yengeese",
]
pl_sb_uninflected_endings = [
# SOME FISH AND HERD ANIMALS
"fish",
"deer", "sheep",
# ALL NATIONALS ENDING IN -ese
"nese", "rese", "lese", "mese",
# DISEASES
"pox",
# OTHER ODDITIES
'craft',
] + pl_sb_uninflected_s_endings
# SOME WORDS ENDING IN ...s (OFTEN PAIRS TAKEN AS A WHOLE)
pl_sb_uninflected_bysize = bysize(pl_sb_uninflected_endings)
# SINGULAR WORDS ENDING IN ...s (ALL INFLECT WITH ...es)
pl_sb_singular_s_complete = [
"acropolis", "aegis", "alias", "analysis", "asbestos", "bathos", "bias",
"bronchitis", "bursitis", "caddis", "cannabis",
"canvas", "chaos", "cosmos", "dais", "digitalis",
"epidermis", "ethos", "eyas", "gas", "glottis",
"hubris", "ibis", "lens", "mantis", "marquis", "metropolis",
"pathos", "pelvis", "polis", "rhinoceros",
"sassafras", "trellis",
] + pl_sb_C_is_ides_complete
pl_sb_singular_s_endings = [
"ss", "us",
] + pl_sb_C_is_ides_endings
pl_sb_singular_s_bysize = bysize(pl_sb_singular_s_endings)
si_sb_singular_s_complete = ['%ses' % w for w in pl_sb_singular_s_complete]
si_sb_singular_s_endings = ['%ses' % w for w in pl_sb_singular_s_endings]
si_sb_singular_s_bysize = bysize(si_sb_singular_s_endings)
pl_sb_singular_s_es = [
"[A-Z].*es",
]
pl_sb_singular_s = enclose('|'.join (pl_sb_singular_s_complete +
['.*%s' % w for w in pl_sb_singular_s_endings] +
pl_sb_singular_s_es))
# PLURALS ENDING IN uses -> use
si_sb_ois_oi_case = (
'Bolshois', 'Hanois'
)
si_sb_uses_use_case = (
'Betelgeuses', 'Duses', 'Meuses', 'Syracuses', 'Toulouses',
)
si_sb_uses_use = (
'abuses', 'applauses', 'blouses',
'carouses', 'causes', 'chartreuses', 'clauses',
'contuses', 'douses', 'excuses', 'fuses',
'grouses', 'hypotenuses', 'masseuses',
'menopauses', 'misuses', 'muses', 'overuses', 'pauses',
'peruses', 'profuses', 'recluses', 'reuses',
'ruses', 'souses', 'spouses', 'suffuses', 'transfuses', 'uses',
)
si_sb_ies_ie_case = (
'Addies', 'Aggies', 'Allies', 'Amies', 'Angies', 'Annies',
'Annmaries', 'Archies', 'Arties', 'Aussies', 'Barbies',
'Barries', 'Basies', 'Bennies', 'Bernies', 'Berties', 'Bessies',
'Betties', 'Billies', 'Blondies', 'Bobbies', 'Bonnies',
'Bowies', 'Brandies', 'Bries', 'Brownies', 'Callies',
'Carnegies', 'Carries', 'Cassies', 'Charlies', 'Cheries',
'Christies', 'Connies', 'Curies', 'Dannies', 'Debbies', 'Dixies',
'Dollies', 'Donnies', 'Drambuies', 'Eddies', 'Effies', 'Ellies',
'Elsies', 'Eries', 'Ernies', 'Essies', 'Eugenies', 'Fannies',
'Flossies', 'Frankies', 'Freddies', 'Gillespies', 'Goldies',
'Gracies', 'Guthries', 'Hallies', 'Hatties', 'Hetties',
'Hollies', 'Jackies', 'Jamies', 'Janies', 'Jannies', 'Jeanies',
'Jeannies', 'Jennies', 'Jessies', 'Jimmies', 'Jodies', 'Johnies',
'Johnnies', 'Josies', 'Julies', 'Kalgoorlies', 'Kathies', 'Katies',
'Kellies', 'Kewpies', 'Kristies', 'Laramies', 'Lassies', 'Lauries',
'Leslies', 'Lessies', 'Lillies', 'Lizzies', 'Lonnies', 'Lories',
'Lorries', 'Lotties', 'Louies', 'Mackenzies', 'Maggies', 'Maisies',
'Mamies', 'Marcies', 'Margies', 'Maries', 'Marjories', 'Matties',
'McKenzies', 'Melanies', 'Mickies', 'Millies', 'Minnies', 'Mollies',
'Mounties', 'Nannies', 'Natalies', 'Nellies', 'Netties', 'Ollies',
'Ozzies', 'Pearlies', 'Pottawatomies', 'Reggies', 'Richies', 'Rickies',
'Robbies', 'Ronnies', 'Rosalies', 'Rosemaries', 'Rosies', 'Roxies',
'Rushdies', 'Ruthies', 'Sadies', 'Sallies', 'Sammies', 'Scotties',
'Selassies', 'Sherries', 'Sophies', 'Stacies', 'Stefanies', 'Stephanies',
'Stevies', 'Susies', 'Sylvies', 'Tammies', 'Terries', 'Tessies',
'Tommies', 'Tracies', 'Trekkies', 'Valaries', 'Valeries', 'Valkyries',
'Vickies', 'Virgies', 'Willies', 'Winnies', 'Wylies', 'Yorkies',
)
si_sb_ies_ie = (
'aeries', 'baggies', 'belies', 'biggies', 'birdies', 'bogies',
'bonnies', 'boogies', 'bookies', 'bourgeoisies', 'brownies',
'budgies', 'caddies', 'calories', 'camaraderies', 'cockamamies',
'collies', 'cookies', 'coolies', 'cooties', 'coteries', 'crappies',
'curies', 'cutesies', 'dogies', 'eyrie', 'floozies', 'footsies',
'freebies', 'genies', 'goalies', 'groupies',
'hies', 'jalousies', 'junkies',
'kiddies', 'laddies', 'lassies', 'lies',
'lingeries', 'magpies', 'menageries', 'mommies', 'movies', 'neckties',
'newbies', 'nighties', 'oldies', 'organdies', 'overlies',
'pies', 'pinkies', 'pixies', 'potpies', 'prairies',
'quickies', 'reveries', 'rookies', 'rotisseries', 'softies', 'sorties',
'species', 'stymies', 'sweeties', 'ties', 'underlies', 'unties',
'veggies', 'vies', 'yuppies', 'zombies',
)
si_sb_oes_oe_case = (
'Chloes', 'Crusoes', 'Defoes', 'Faeroes', 'Ivanhoes', 'Joes',
'McEnroes', 'Moes', 'Monroes', 'Noes', 'Poes', 'Roscoes',
'Tahoes', 'Tippecanoes', 'Zoes',
)
si_sb_oes_oe = (
'aloes', 'backhoes', 'canoes',
'does', 'floes', 'foes', 'hoes', 'mistletoes',
'oboes', 'pekoes', 'roes', 'sloes',
'throes', 'tiptoes', 'toes', 'woes',
)
si_sb_z_zes = (
"quartzes", "topazes",
)
si_sb_zzes_zz = (
'buzzes', 'fizzes', 'frizzes', 'razzes'
)
si_sb_ches_che_case = (
'Andromaches', 'Apaches', 'Blanches', 'Comanches',
'Nietzsches', 'Porsches', 'Roches',
)
si_sb_ches_che = (
'aches', 'avalanches', 'backaches', 'bellyaches', 'caches',
'cloches', 'creches', 'douches', 'earaches', 'fiches',
'headaches', 'heartaches', 'microfiches',
'niches', 'pastiches', 'psyches', 'quiches',
'stomachaches', 'toothaches',
)
si_sb_xes_xe = (
'annexes', 'axes', 'deluxes', 'pickaxes',
)
si_sb_sses_sse_case = (
'Hesses', 'Jesses', 'Larousses', 'Matisses',
)
si_sb_sses_sse = (
'bouillabaisses', 'crevasses', 'demitasses', 'impasses',
'mousses', 'posses',
)
si_sb_ves_ve_case = (
# *[nwl]ives -> [nwl]live
'Clives', 'Palmolives',
)
si_sb_ves_ve = (
# *[^d]eaves -> eave
'interweaves', 'weaves',
# *[nwl]ives -> [nwl]live
'olives',
# *[eoa]lves -> [eoa]lve
'bivalves', 'dissolves', 'resolves', 'salves', 'twelves', 'valves',
)
plverb_special_s = enclose('|'.join (
[pl_sb_singular_s] +
pl_sb_uninflected_s +
pl_sb_irregular_s.keys() + [
'(.*[csx])is',
'(.*)ceps',
'[A-Z].*s',
]))
pl_sb_postfix_adj = {
'general' : ['(?!major|lieutenant|brigadier|adjutant|.*star)\S+'],
'martial' : ['court'],
}
for k in pl_sb_postfix_adj.keys():
pl_sb_postfix_adj[k] = enclose(
enclose('|'.join(pl_sb_postfix_adj[k]))
+ "(?=(?:-|\\s+)%s)" % k)
pl_sb_postfix_adj_stems = '(' + '|'.join(pl_sb_postfix_adj.values()) + ')(.*)'
# PLURAL WORDS ENDING IS es GO TO SINGULAR is
si_sb_es_is = (
'amanuenses', 'amniocenteses', 'analyses', 'antitheses',
'apotheoses', 'arterioscleroses', 'atheroscleroses', 'axes',
# 'bases', # bases -> basis
'catalyses', 'catharses', 'chasses', 'cirrhoses',
'cocces', 'crises', 'diagnoses', 'dialyses', 'diereses',
'electrolyses', 'emphases', 'exegeses', 'geneses',
'halitoses', 'hydrolyses', 'hypnoses', 'hypotheses', 'hystereses',
'metamorphoses', 'metastases', 'misdiagnoses', 'mitoses',
'mononucleoses', 'narcoses', 'necroses', 'nemeses', 'neuroses',
'oases', 'osmoses', 'osteoporoses', 'paralyses', 'parentheses',
'parthenogeneses', 'periphrases', 'photosyntheses', 'probosces',
'prognoses', 'prophylaxes', 'prostheses', 'preces', 'psoriases',
'psychoanalyses', 'psychokineses', 'psychoses', 'scleroses',
'scolioses', 'sepses', 'silicoses', 'symbioses', 'synopses',
'syntheses', 'taxes', 'telekineses', 'theses', 'thromboses',
'tuberculoses', 'urinalyses',
)
pl_prep_list = """
about above across after among around at athwart before behind
below beneath beside besides between betwixt beyond but by
during except for from in into near of off on onto out over
since till to under until unto upon with""".split()
pl_prep_list_da = pl_prep_list + ['de', 'du', 'da']
pl_prep_bysize = bysize(pl_prep_list_da)
pl_prep = enclose('|'.join(pl_prep_list_da))
pl_sb_prep_dual_compound = r'(.*?)((?:-|\s+)(?:'+pl_prep+r')(?:-|\s+))a(?:-|\s+)(.*)'
singular_pronoun_genders = set(['neuter',
'feminine',
'masculine',
'gender-neutral',
'feminine or masculine',
'masculine or feminine'])
pl_pron_nom = {
# NOMINATIVE REFLEXIVE
"i" : "we", "myself" : "ourselves",
"you" : "you", "yourself" : "yourselves",
"she" : "they", "herself" : "themselves",
"he" : "they", "himself" : "themselves",
"it" : "they", "itself" : "themselves",
"they" : "they", "themself" : "themselves",
# POSSESSIVE
"mine" : "ours",
"yours" : "yours",
"hers" : "theirs",
"his" : "theirs",
"its" : "theirs",
"theirs" : "theirs",
}
si_pron = {}
si_pron['nom'] = dict([(v, k) for (k, v) in pl_pron_nom.iteritems()])
si_pron['nom']['we'] = 'I'
pl_pron_acc = {
# ACCUSATIVE REFLEXIVE
"me" : "us", "myself" : "ourselves",
"you" : "you", "yourself" : "yourselves",
"her" : "them", "herself" : "themselves",
"him" : "them", "himself" : "themselves",
"it" : "them", "itself" : "themselves",
"them" : "them", "themself" : "themselves",
}
pl_pron_acc_keys = enclose('|'.join(pl_pron_acc.keys()))
pl_pron_acc_keys_bysize = bysize(pl_pron_acc.keys())
si_pron['acc'] = dict([(v, k) for (k, v) in pl_pron_acc.iteritems()])
for thecase, plur, gend, sing in (
('nom', 'they', 'neuter', 'it'),
('nom', 'they', 'feminine', 'she'),
('nom', 'they', 'masculine', 'he'),
('nom', 'they', 'gender-neutral', 'they'),
('nom', 'they', 'feminine or masculine', 'she or he'),
('nom', 'they', 'masculine or feminine', 'he or she'),
('nom', 'themselves', 'neuter', 'itself'),
('nom', 'themselves', 'feminine', 'herself'),
('nom', 'themselves', 'masculine', 'himself'),
('nom', 'themselves', 'gender-neutral', 'themself'),
('nom', 'themselves', 'feminine or masculine', 'herself or himself'),
('nom', 'themselves', 'masculine or feminine', 'himself or herself'),
('nom', 'theirs', 'neuter', 'its'),
('nom', 'theirs', 'feminine', 'hers'),
('nom', 'theirs', 'masculine', 'his'),
('nom', 'theirs', 'gender-neutral', 'theirs'),
('nom', 'theirs', 'feminine or masculine', 'hers or his'),
('nom', 'theirs', 'masculine or feminine', 'his or hers'),
('acc', 'them', 'neuter', 'it'),
('acc', 'them', 'feminine', 'her'),
('acc', 'them', 'masculine', 'him'),
('acc', 'them', 'gender-neutral', 'them'),
('acc', 'them', 'feminine or masculine', 'her or him'),
('acc', 'them', 'masculine or feminine', 'him or her'),
('acc', 'themselves', 'neuter', 'itself'),
('acc', 'themselves', 'feminine', 'herself'),
('acc', 'themselves', 'masculine', 'himself'),
('acc', 'themselves', 'gender-neutral', 'themself'),
('acc', 'themselves', 'feminine or masculine', 'herself or himself'),
('acc', 'themselves', 'masculine or feminine', 'himself or herself'),
):
try:
si_pron[thecase][plur][gend] = sing
except TypeError:
si_pron[thecase][plur] = {}
si_pron[thecase][plur][gend] = sing
si_pron_acc_keys = enclose('|'.join(si_pron['acc'].keys()))
si_pron_acc_keys_bysize = bysize(si_pron['acc'].keys())
def get_si_pron(thecase, word, gender):
try:
sing = si_pron[thecase][word]
except KeyError:
raise # not a pronoun
try:
return sing[gender] # has several types due to gender
except TypeError:
return sing # answer independent of gender
plverb_irregular_pres = {
# 1st PERS. SING. 2ND PERS. SING. 3RD PERS. SINGULAR