spaCy/spacy/fr/tokenizer_exceptions.py
Matthew Honnibal 26446aa728 Avoid loading all French exceptions on import
Move exceptions loading behind a get_tokenizer_exceptions() function
for French, instead of loading into the top-level namespace. This
cuts import times from 0.6s to 0.2s, at the expense of making the
French data a little different from the others (there's no top-level
TOKENIZER_EXCEPTIONS variable.) The current solution feels somewhat
unsatisfying.
2017-02-25 11:55:00 +01:00

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# encoding: utf8
from __future__ import unicode_literals
from .. import language_data as base
from ..language_data import strings_to_exc, update_exc
from ..language_data.tokenizer_exceptions import _URL_PATTERN
from ..language_data.punctuation import ALPHA_LOWER
from .punctuation import ELISION, HYPHENS
from ._tokenizer_exceptions_list import BASE_EXCEPTIONS
from ..symbols import *
import os
import io
import re
def get_exceptions():
return BASE_EXCEPTIONS
# with io.open(os.path.join(os.path.dirname(__file__), 'resources/tokenizer_exceptions'),
# 'rt', encoding='utf8') as f:
# for line in f:
# yield line.strip('\n')
def upper_first_letter(text):
if len(text) == 0:
return text
if len(text) == 1:
return text.upper()
return text[0].upper() + text[1:]
def lower_first_letter(text):
if len(text) == 0:
return text
if len(text) == 1:
return text.lower()
return text[0].lower() + text[1:]
def get_tokenizer_exceptions():
tokenizer_exceptions = strings_to_exc(base.EMOTICONS)
update_exc(tokenizer_exceptions, strings_to_exc(base.ABBREVIATIONS))
ABBREVIATIONS_1 = {
"av.": [
{LEMMA: "avant", ORTH: "av."}
],
"janv.": [
{LEMMA: "janvier", ORTH: "janv."}
],
"févr.": [
{LEMMA: "février", ORTH: "févr."}
],
"avr.": [
{LEMMA: "avril", ORTH: "avr."}
],
"juill.": [
{LEMMA: "juillet", ORTH: "juill."}
],
"sept.": [
{LEMMA: "septembre", ORTH: "sept."}
],
"oct.": [
{LEMMA: "octobre", ORTH: "oct."}
],
"nov.": [
{LEMMA: "novembre", ORTH: "nov."}
],
"déc.": [
{LEMMA: "décembre", ORTH: "déc."}
],
"apr.": [
{LEMMA: "après", ORTH: "apr."}
],
"J.-C.": [
{LEMMA: "Jésus", ORTH: "J."},
{LEMMA: "Christ", ORTH: "-C."}
],
"Dr.": [
{LEMMA: "docteur", ORTH: "Dr."}
],
"M.": [
{LEMMA: "monsieur", ORTH: "M."}
],
"Mr.": [
{LEMMA: "monsieur", ORTH: "Mr."}
],
"Mme.": [
{LEMMA: "madame", ORTH: "Mme."}
],
"Mlle.": [
{LEMMA: "mademoiselle", ORTH: "Mlle."}
],
"": [
{LEMMA: "numéro", ORTH: ""}
],
"": [
{LEMMA: "degrés", ORTH: ""}
],
"St.": [
{LEMMA: "saint", ORTH: "St."}
],
"Ste.": [
{LEMMA: "sainte", ORTH: "Ste."}
]
}
ABBREVIATIONS_2 = [
"etc.",
]
VERBS = {}
for verb, verb_lemma in (("a", "avoir"), ("est", "être"),
("semble", "sembler"), ("indique", "indiquer"),
("moque", "moquer"), ("passe", "passer")):
for pronoun in ("elle", "il", "on"):
token = "{}-t-{}".format(verb, pronoun)
VERBS[token] = [
{LEMMA: verb_lemma, ORTH: verb},
{LEMMA: "t", ORTH: "-t"},
{LEMMA: pronoun, ORTH: "-" + pronoun}
]
VERBS['est-ce'] = [
{LEMMA: 'être', ORTH: "est"},
{LEMMA: 'ce', ORTH: '-ce'}
]
for pre, pre_lemma in (("qu'", "que"), ("Qu'", "Que"), ("n'", "ne"),
("N'", "Ne")):
VERBS['{}est-ce'.format(pre)] = [
{LEMMA: pre_lemma, ORTH: pre},
{LEMMA: 'être', ORTH: "est"},
{LEMMA: 'ce', ORTH: '-ce'}
]
HYPHEN = ['-', '']
base_exceptions = get_exceptions()
infixes_exceptions = []
for elision_char in ELISION:
for hyphen_char in HYPHEN:
infixes_exceptions += [infix.replace("'", elision_char).replace('-', hyphen_char)
for infix in base_exceptions]
infixes_exceptions += [upper_first_letter(word) for word in infixes_exceptions]
infixes_exceptions = list(set(infixes_exceptions))
update_exc(tokenizer_exceptions, strings_to_exc(infixes_exceptions))
update_exc(tokenizer_exceptions, ABBREVIATIONS_1)
update_exc(tokenizer_exceptions, strings_to_exc(ABBREVIATIONS_2))
update_exc(tokenizer_exceptions, VERBS)
return tokenizer_exceptions
HYPHEN_PREFIX = [
'a[ée]ro', 'abat', 'a[fg]ro', 'after', 'am[ée]ricano', 'anglo', 'anti', 'apr[èe]s', 'arabo', 'arcs?', 'archi',
'arrières?', 'avant', 'auto',
'banc', 'bas(?:ses?)?', 'bec?', 'best', 'bio?', 'bien', 'blanc', 'bo[îi]te', 'bois', 'bou(?:c|rg)', 'b[êe]ta',
'cache', 'cap(?:ello)?', 'champ', 'chapelle', 'ch[âa]teau', 'cha(?:ud|t)e?s?', 'chou', 'chromo', 'claire?s?',
'co(?:de|ca)?', 'compte', 'contre', 'cordon', 'coupe?', 'court', 'crash', 'crise', 'croche', 'cross', 'cyber',
'côte',
'demi', 'di(?:sney)?', 'd[ée]s?', 'double', 'dys',
'entre', 'est', 'ethno', 'extra', 'extrême', '[ée]co',
'fil', 'fort', 'franco?s?',
'gallo', 'gardes?', 'gastro', 'grande?', 'gratte', 'gr[ée]co', 'gros', 'g[ée]o',
'haute?s?', 'hyper',
'indo', 'infra', 'inter', 'intra', 'islamo', 'italo',
'jean',
'labio', 'latino', 'live', 'lot', 'louis',
'm[ai]cro', 'mesnil', 'mi(?:ni)?', 'mono', 'mont?s?', 'moyen', 'multi', 'm[ée]cano', 'm[ée]dico', 'm[ée]do', 'm[ée]ta',
'mots?',
'noix', 'non', 'nord', 'notre', 'n[ée]o',
'ouest', 'outre', 'ouvre',
'passe', 'perce', 'pharmaco', 'ph[oy]to', 'pique', 'poissons?', 'ponce', 'pont', 'po[rs]t',
'primo', 'pro(?:cès|to)?', 'pare', 'petite?', 'porte', 'pré', 'prêchi', 'pseudo', 'pêle', 'péri', 'puy',
'quasi',
'recourt', 'rythmo', 'r[ée]', 'r[ée]tro',
'sans', 'sainte?s?', 'semi', 'social', 'sous', 'su[bdr]', 'super',
'tire', 'thermo', 'tiers', 'trans', 'tr(?:i|ou)', 't[ée]l[ée]',
'vi[cd]e', 'vid[ée]o', 'vie(?:ux|illes?)', 'vill(?:e|eneuve|ers|ette|iers|y)',
'ultra',
'à',
'[ée]lectro', '[ée]qui'
]
ELISION_PREFIX = ['entr', 'grande?s?']
REGULAR_EXP = [
'^droits?[{hyphen}]de[{hyphen}]l\'homm[{alpha}]+$'.format(hyphen=HYPHENS, alpha=ALPHA_LOWER),
'^zig[{hyphen}]zag[{alpha}]*$'.format(hyphen=HYPHENS, alpha=ALPHA_LOWER),
'^prud[{elision}]homm[{alpha}]*$'.format(elision=ELISION, alpha=ALPHA_LOWER),
]
other_hyphens = ''.join([h for h in HYPHENS if h != '-'])
REGULAR_EXP += ["^{prefix}[{hyphen}][{alpha}][{alpha}{elision}{other_hyphen}\-]*$".format(
prefix=p, hyphen=HYPHENS, other_hyphen=other_hyphens, elision=ELISION, alpha=ALPHA_LOWER)
for p in HYPHEN_PREFIX]
REGULAR_EXP += ["^{prefix}[{elision}][{alpha}][{alpha}{elision}{hyphen}\-]*$".format(
prefix=p, elision=HYPHENS, hyphen=other_hyphens, alpha=ALPHA_LOWER)
for p in ELISION_PREFIX]
REGULAR_EXP.append(_URL_PATTERN)
TOKEN_MATCH = re.compile('|'.join('(?:{})'.format(m) for m in REGULAR_EXP), re.IGNORECASE).match
#TOKENIZER_EXCEPTIONS = get_tokenizer_exceptions()
__all__ = ["get_tokenizer_exceptions", "TOKEN_MATCH"]