HugoLaurencon
commited on
Commit
•
d1e3e7b
1
Parent(s):
22701ae
test
Browse files- app.py +6 -0
- badwords.py +2682 -0
- en.arpa.bin +3 -0
- en.sp.model +3 -0
- filtering.py +879 -0
- languages_id.py +231 -0
- lid.176.bin +3 -0
- normalization.py +52 -0
- requirements.txt → packages.txt +0 -0
- parameters_filtering.py +852 -0
- stopwords.py +0 -0
app.py
CHANGED
@@ -13,6 +13,8 @@ import numpy as np
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import matplotlib.pyplot as plt
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class Visualization:
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def __init__(
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ax.set_ylabel("frequency in the documents")
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st.pyplot(fig)
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def download_data(self):
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st.header("Download data")
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@@ -408,6 +413,7 @@ class Visualization:
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self.filtering_of_words()
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self.plot_distributions_filtering_parameters()
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#self.plot_zipf_law()
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self.download_data()
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import matplotlib.pyplot as plt
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from filtering import Filtering
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class Visualization:
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def __init__(
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ax.set_ylabel("frequency in the documents")
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st.pyplot(fig)
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def check_personal_doc(self):
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pass
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def download_data(self):
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st.header("Download data")
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self.filtering_of_words()
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self.plot_distributions_filtering_parameters()
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#self.plot_zipf_law()
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self.check_personal_doc()
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self.download_data()
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badwords.py
ADDED
@@ -0,0 +1,2682 @@
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|
1 |
+
# Merge
|
2 |
+
# https://github.com/zacanger/profane-words
|
3 |
+
# and
|
4 |
+
# https://github.com/thisandagain/washyourmouthoutwithsoap/blob/develop/data/build.json
|
5 |
+
# and
|
6 |
+
# https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
|
7 |
+
|
8 |
+
|
9 |
+
english_badwords = [
|
10 |
+
"abuse",
|
11 |
+
"anal",
|
12 |
+
"anilingus",
|
13 |
+
"anus",
|
14 |
+
"aroused",
|
15 |
+
"arse",
|
16 |
+
"arsehole",
|
17 |
+
"ass",
|
18 |
+
"asses",
|
19 |
+
"assfuck",
|
20 |
+
"asshat",
|
21 |
+
"asshole",
|
22 |
+
"assholes",
|
23 |
+
"autoerotic",
|
24 |
+
"bangbros",
|
25 |
+
"banging",
|
26 |
+
"bareback",
|
27 |
+
"bastard",
|
28 |
+
"bastards",
|
29 |
+
"bazongas",
|
30 |
+
"bbw",
|
31 |
+
"bdsm",
|
32 |
+
"biatch",
|
33 |
+
"bicurious",
|
34 |
+
"bigass",
|
35 |
+
"bigtits",
|
36 |
+
"bimbo",
|
37 |
+
"bimbos",
|
38 |
+
"bitch",
|
39 |
+
"bitches",
|
40 |
+
"bitching",
|
41 |
+
"blowjob",
|
42 |
+
"blowjobs",
|
43 |
+
"boche",
|
44 |
+
"boner",
|
45 |
+
"boners",
|
46 |
+
"boob",
|
47 |
+
"boobies",
|
48 |
+
"boobs",
|
49 |
+
"booty",
|
50 |
+
"brothel",
|
51 |
+
"buceta",
|
52 |
+
"bugger",
|
53 |
+
"buggered",
|
54 |
+
"buggery",
|
55 |
+
"bukkake",
|
56 |
+
"bule",
|
57 |
+
"buttcheeks",
|
58 |
+
"buttfuck",
|
59 |
+
"butthead",
|
60 |
+
"butthole",
|
61 |
+
"buttplug",
|
62 |
+
"cameltoe",
|
63 |
+
"camgirl",
|
64 |
+
"camwhore",
|
65 |
+
"chink",
|
66 |
+
"chinks",
|
67 |
+
"cialis",
|
68 |
+
"clit",
|
69 |
+
"clitoris",
|
70 |
+
"clits",
|
71 |
+
"clitty",
|
72 |
+
"clusterfuck",
|
73 |
+
"cock",
|
74 |
+
"cock-head",
|
75 |
+
"cockblock",
|
76 |
+
"cockfight",
|
77 |
+
"cockhead",
|
78 |
+
"cocks",
|
79 |
+
"cocksman",
|
80 |
+
"cocksucker",
|
81 |
+
"cocksucking",
|
82 |
+
"coital",
|
83 |
+
"coitus",
|
84 |
+
"coochie",
|
85 |
+
"cooly",
|
86 |
+
"coon",
|
87 |
+
"coons",
|
88 |
+
"copulate",
|
89 |
+
"cowgirl",
|
90 |
+
"crabs",
|
91 |
+
"creampie",
|
92 |
+
"cum",
|
93 |
+
"cumming",
|
94 |
+
"cums",
|
95 |
+
"cumshot",
|
96 |
+
"cumshots",
|
97 |
+
"cumslut",
|
98 |
+
"cunnilingus",
|
99 |
+
"cunny",
|
100 |
+
"cunt",
|
101 |
+
"cunts",
|
102 |
+
"cybersex",
|
103 |
+
"darkey",
|
104 |
+
"darkie",
|
105 |
+
"darkies",
|
106 |
+
"darky",
|
107 |
+
"deepthroat",
|
108 |
+
"deepthroating",
|
109 |
+
"dick",
|
110 |
+
"dickhole",
|
111 |
+
"dicks",
|
112 |
+
"dildo",
|
113 |
+
"dildos",
|
114 |
+
"dogging",
|
115 |
+
"doggy-style",
|
116 |
+
"doggystyle",
|
117 |
+
"dominatrix",
|
118 |
+
"dommes",
|
119 |
+
"dong",
|
120 |
+
"dp",
|
121 |
+
"dupa",
|
122 |
+
"dyke",
|
123 |
+
"dykes",
|
124 |
+
"ecchi",
|
125 |
+
"ejaculate",
|
126 |
+
"ejaculated",
|
127 |
+
"ejaculates",
|
128 |
+
"ejaculating",
|
129 |
+
"ejaculation",
|
130 |
+
"ejaculations",
|
131 |
+
"enema",
|
132 |
+
"erect",
|
133 |
+
"erection",
|
134 |
+
"ero",
|
135 |
+
"erotic",
|
136 |
+
"erotism",
|
137 |
+
"escort",
|
138 |
+
"fag",
|
139 |
+
"fagging",
|
140 |
+
"faggot",
|
141 |
+
"fagot",
|
142 |
+
"fagots",
|
143 |
+
"fags",
|
144 |
+
"felch",
|
145 |
+
"fellate",
|
146 |
+
"fellatio",
|
147 |
+
"femdom",
|
148 |
+
"fetish",
|
149 |
+
"figging",
|
150 |
+
"fingerbang",
|
151 |
+
"fingering",
|
152 |
+
"fisted",
|
153 |
+
"fister",
|
154 |
+
"fisting",
|
155 |
+
"floozy",
|
156 |
+
"fondle",
|
157 |
+
"footfetish",
|
158 |
+
"footjob",
|
159 |
+
"foreskin",
|
160 |
+
"fornicate",
|
161 |
+
"foursome",
|
162 |
+
"fuck",
|
163 |
+
"fuckable",
|
164 |
+
"fuckbook",
|
165 |
+
"fuckboy",
|
166 |
+
"fuckbuddy",
|
167 |
+
"fucked",
|
168 |
+
"fucker",
|
169 |
+
"fuckers",
|
170 |
+
"fuckfest",
|
171 |
+
"fuckhole",
|
172 |
+
"fuckin",
|
173 |
+
"fucking",
|
174 |
+
"fucks",
|
175 |
+
"fuk",
|
176 |
+
"fukin",
|
177 |
+
"fuking",
|
178 |
+
"g-spot",
|
179 |
+
"gangbang",
|
180 |
+
"gangbanged",
|
181 |
+
"gangbanger",
|
182 |
+
"gangbangs",
|
183 |
+
"genital",
|
184 |
+
"genitals",
|
185 |
+
"gigolo",
|
186 |
+
"glans",
|
187 |
+
"gonad",
|
188 |
+
"gonads",
|
189 |
+
"gook",
|
190 |
+
"gringo",
|
191 |
+
"gringos",
|
192 |
+
"grope",
|
193 |
+
"gspot",
|
194 |
+
"guido",
|
195 |
+
"handjob",
|
196 |
+
"haole",
|
197 |
+
"hapa",
|
198 |
+
"hardcore",
|
199 |
+
"hardon",
|
200 |
+
"harem",
|
201 |
+
"hentai",
|
202 |
+
"hindoo",
|
203 |
+
"hoe",
|
204 |
+
"hoes",
|
205 |
+
"honky",
|
206 |
+
"hooker",
|
207 |
+
"hookers",
|
208 |
+
"hooter",
|
209 |
+
"hooters",
|
210 |
+
"hori",
|
211 |
+
"horndog",
|
212 |
+
"horney",
|
213 |
+
"horniest",
|
214 |
+
"horny",
|
215 |
+
"humped",
|
216 |
+
"humper",
|
217 |
+
"humping",
|
218 |
+
"hussy",
|
219 |
+
"hymen",
|
220 |
+
"ikey",
|
221 |
+
"incest",
|
222 |
+
"injun",
|
223 |
+
"intercourse",
|
224 |
+
"interracial",
|
225 |
+
"jack-off",
|
226 |
+
"jackoff",
|
227 |
+
"jailbait",
|
228 |
+
"jerk-off",
|
229 |
+
"jerkoff",
|
230 |
+
"jiggy",
|
231 |
+
"jism",
|
232 |
+
"jizz",
|
233 |
+
"jizzed",
|
234 |
+
"kaffir",
|
235 |
+
"kafir",
|
236 |
+
"kike",
|
237 |
+
"kikes",
|
238 |
+
"kinkster",
|
239 |
+
"kinky",
|
240 |
+
"kkk",
|
241 |
+
"klan",
|
242 |
+
"kraut",
|
243 |
+
"labia",
|
244 |
+
"lapdance",
|
245 |
+
"libido",
|
246 |
+
"licker",
|
247 |
+
"licking",
|
248 |
+
"limey",
|
249 |
+
"lingerie",
|
250 |
+
"livesex",
|
251 |
+
"lolita",
|
252 |
+
"lovemaking",
|
253 |
+
"lust",
|
254 |
+
"lusting",
|
255 |
+
"masochist",
|
256 |
+
"masterbate",
|
257 |
+
"masterbating",
|
258 |
+
"masterbation",
|
259 |
+
"masturbate",
|
260 |
+
"masturbating",
|
261 |
+
"masturbation",
|
262 |
+
"milf",
|
263 |
+
"minge",
|
264 |
+
"missionary",
|
265 |
+
"molest",
|
266 |
+
"molestation",
|
267 |
+
"molester",
|
268 |
+
"munging",
|
269 |
+
"muschi",
|
270 |
+
"nads",
|
271 |
+
"naked",
|
272 |
+
"necked",
|
273 |
+
"necro",
|
274 |
+
"negress",
|
275 |
+
"negro",
|
276 |
+
"negroes",
|
277 |
+
"negroid",
|
278 |
+
"negros",
|
279 |
+
"nig",
|
280 |
+
"nigar",
|
281 |
+
"nigga",
|
282 |
+
"niggas",
|
283 |
+
"niggaz",
|
284 |
+
"nigger",
|
285 |
+
"niggers",
|
286 |
+
"nigra",
|
287 |
+
"nipple",
|
288 |
+
"nipples",
|
289 |
+
"nookie",
|
290 |
+
"nooky",
|
291 |
+
"nooner",
|
292 |
+
"nude",
|
293 |
+
"nudie",
|
294 |
+
"nudity",
|
295 |
+
"nymph",
|
296 |
+
"nympho",
|
297 |
+
"nymphomania",
|
298 |
+
"orgasim",
|
299 |
+
"orgasm",
|
300 |
+
"orgasms",
|
301 |
+
"orgies",
|
302 |
+
"orgy",
|
303 |
+
"orifice",
|
304 |
+
"p0rn",
|
305 |
+
"paedophile",
|
306 |
+
"pantie",
|
307 |
+
"panties",
|
308 |
+
"panty",
|
309 |
+
"pastie",
|
310 |
+
"pecker",
|
311 |
+
"pedo",
|
312 |
+
"pedophile",
|
313 |
+
"pedophilia",
|
314 |
+
"pedophiliac",
|
315 |
+
"peeper",
|
316 |
+
"peepshow",
|
317 |
+
"pegging",
|
318 |
+
"penetrate",
|
319 |
+
"penetration",
|
320 |
+
"penile",
|
321 |
+
"penis",
|
322 |
+
"penises",
|
323 |
+
"penus",
|
324 |
+
"perv",
|
325 |
+
"phallic",
|
326 |
+
"phonesex",
|
327 |
+
"pickaninnies",
|
328 |
+
"pimp",
|
329 |
+
"playboy",
|
330 |
+
"playgirl",
|
331 |
+
"poontang",
|
332 |
+
"porn",
|
333 |
+
"porno",
|
334 |
+
"pornography",
|
335 |
+
"pornos",
|
336 |
+
"pr0n",
|
337 |
+
"premature",
|
338 |
+
"preteen",
|
339 |
+
"pron",
|
340 |
+
"prostitute",
|
341 |
+
"pube",
|
342 |
+
"pubes",
|
343 |
+
"pubic",
|
344 |
+
"pubis",
|
345 |
+
"punani",
|
346 |
+
"pussies",
|
347 |
+
"pussy",
|
348 |
+
"pussys",
|
349 |
+
"pusy",
|
350 |
+
"puta",
|
351 |
+
"puto",
|
352 |
+
"queef",
|
353 |
+
"quickie",
|
354 |
+
"quicky",
|
355 |
+
"quim",
|
356 |
+
"randy",
|
357 |
+
"rape",
|
358 |
+
"raped",
|
359 |
+
"raper",
|
360 |
+
"raping",
|
361 |
+
"rapist",
|
362 |
+
"rectum",
|
363 |
+
"redneck",
|
364 |
+
"rednecks",
|
365 |
+
"redskin",
|
366 |
+
"redskins",
|
367 |
+
"rimjob",
|
368 |
+
"rimming",
|
369 |
+
"russki",
|
370 |
+
"s&m",
|
371 |
+
"sadism",
|
372 |
+
"sadist",
|
373 |
+
"sambo",
|
374 |
+
"santorum",
|
375 |
+
"schlong",
|
376 |
+
"scissoring",
|
377 |
+
"semen",
|
378 |
+
"sex",
|
379 |
+
"sexed",
|
380 |
+
"sexi",
|
381 |
+
"sexing",
|
382 |
+
"sexo",
|
383 |
+
"sexpot",
|
384 |
+
"sextoy",
|
385 |
+
"sexual",
|
386 |
+
"sexually",
|
387 |
+
"sexx",
|
388 |
+
"sexxx",
|
389 |
+
"sexxxy",
|
390 |
+
"sexxy",
|
391 |
+
"sexy",
|
392 |
+
"sh!t",
|
393 |
+
"sh1t",
|
394 |
+
"shagging",
|
395 |
+
"shemale",
|
396 |
+
"sissy",
|
397 |
+
"skank",
|
398 |
+
"skanks",
|
399 |
+
"slapper",
|
400 |
+
"slut",
|
401 |
+
"sluts",
|
402 |
+
"slutting",
|
403 |
+
"slutty",
|
404 |
+
"smut",
|
405 |
+
"smutty",
|
406 |
+
"sodomise",
|
407 |
+
"sodomite",
|
408 |
+
"sodomize",
|
409 |
+
"sodomy",
|
410 |
+
"spank",
|
411 |
+
"sperm",
|
412 |
+
"spic",
|
413 |
+
"spick",
|
414 |
+
"splooge",
|
415 |
+
"spooge",
|
416 |
+
"squaw",
|
417 |
+
"squirting",
|
418 |
+
"steamy",
|
419 |
+
"stiffy",
|
420 |
+
"strapon",
|
421 |
+
"suck",
|
422 |
+
"sucked",
|
423 |
+
"sucker",
|
424 |
+
"sucking",
|
425 |
+
"sucks",
|
426 |
+
"swallow",
|
427 |
+
"swallower",
|
428 |
+
"swinger",
|
429 |
+
"teabagging",
|
430 |
+
"testical",
|
431 |
+
"testicle",
|
432 |
+
"testicles",
|
433 |
+
"testis",
|
434 |
+
"threesome",
|
435 |
+
"threeway",
|
436 |
+
"titfuck",
|
437 |
+
"titjob",
|
438 |
+
"tits",
|
439 |
+
"tittie",
|
440 |
+
"titties",
|
441 |
+
"titty",
|
442 |
+
"tittyfuck",
|
443 |
+
"tity",
|
444 |
+
"toots",
|
445 |
+
"topless",
|
446 |
+
"trannie",
|
447 |
+
"tranny",
|
448 |
+
"tribadism",
|
449 |
+
"twat",
|
450 |
+
"twats",
|
451 |
+
"undies",
|
452 |
+
"undressing",
|
453 |
+
"upskirt",
|
454 |
+
"vag",
|
455 |
+
"vagina",
|
456 |
+
"vaginal",
|
457 |
+
"viagra",
|
458 |
+
"vibrator",
|
459 |
+
"virgin",
|
460 |
+
"vixen",
|
461 |
+
"voyeur",
|
462 |
+
"vulva",
|
463 |
+
"wank",
|
464 |
+
"wanker",
|
465 |
+
"wanking",
|
466 |
+
"wazoo",
|
467 |
+
"wedgie",
|
468 |
+
"wench",
|
469 |
+
"wetback",
|
470 |
+
"whore",
|
471 |
+
"whored",
|
472 |
+
"whorehouse",
|
473 |
+
"whores",
|
474 |
+
"whoring",
|
475 |
+
"wigger",
|
476 |
+
"willie",
|
477 |
+
"willies",
|
478 |
+
"willy",
|
479 |
+
"wog",
|
480 |
+
"wop",
|
481 |
+
"x-rated",
|
482 |
+
"xxx",
|
483 |
+
"xxxxxx",
|
484 |
+
"yaoi",
|
485 |
+
"yid",
|
486 |
+
"zoophile",
|
487 |
+
"zoophilia",
|
488 |
+
]
|
489 |
+
|
490 |
+
badwords = {
|
491 |
+
"ar": english_badwords
|
492 |
+
+ [
|
493 |
+
"احتلام",
|
494 |
+
"اغتصاب",
|
495 |
+
"بز",
|
496 |
+
"بزاز",
|
497 |
+
"بظر",
|
498 |
+
"بيضان",
|
499 |
+
"تمص",
|
500 |
+
"ثدي",
|
501 |
+
"جماع",
|
502 |
+
"حلمة",
|
503 |
+
"خنثي",
|
504 |
+
"خول",
|
505 |
+
"زب",
|
506 |
+
"سحاق",
|
507 |
+
"سحاقية",
|
508 |
+
"سكس",
|
509 |
+
"شاذ",
|
510 |
+
"شرج",
|
511 |
+
"شرموطة",
|
512 |
+
"شهوة",
|
513 |
+
"طيز",
|
514 |
+
"عاهرة",
|
515 |
+
"عرص",
|
516 |
+
"فرج",
|
517 |
+
"قحبة",
|
518 |
+
"قضيب",
|
519 |
+
"كس",
|
520 |
+
"لبوة",
|
521 |
+
"لحس",
|
522 |
+
"لعق",
|
523 |
+
"لواط",
|
524 |
+
"لوطي",
|
525 |
+
"مبادل",
|
526 |
+
"متناك",
|
527 |
+
"متناكة",
|
528 |
+
"مص",
|
529 |
+
"مفلقسة",
|
530 |
+
"نيك",
|
531 |
+
],
|
532 |
+
"ca": english_badwords
|
533 |
+
+ [
|
534 |
+
"avortament",
|
535 |
+
"anal",
|
536 |
+
"anus",
|
537 |
+
"cul",
|
538 |
+
"ass-fucker",
|
539 |
+
"asss",
|
540 |
+
"asshole",
|
541 |
+
"assholes",
|
542 |
+
"bolera",
|
543 |
+
"boles",
|
544 |
+
"bastardo",
|
545 |
+
"bellend",
|
546 |
+
"bestial",
|
547 |
+
"bestialitat",
|
548 |
+
"puta",
|
549 |
+
"femelles",
|
550 |
+
"picant",
|
551 |
+
"sagnant",
|
552 |
+
"mamada",
|
553 |
+
"bollok",
|
554 |
+
"boob",
|
555 |
+
"pits",
|
556 |
+
"buceta",
|
557 |
+
"bum",
|
558 |
+
"culata",
|
559 |
+
"catifa muncher",
|
560 |
+
"picar",
|
561 |
+
"cipa",
|
562 |
+
"clitoris",
|
563 |
+
"polla",
|
564 |
+
"galletejador",
|
565 |
+
"gallines",
|
566 |
+
"coon",
|
567 |
+
"merda",
|
568 |
+
"cum",
|
569 |
+
"correguda",
|
570 |
+
"cunillingus",
|
571 |
+
"boig",
|
572 |
+
"maleït",
|
573 |
+
"consolador",
|
574 |
+
"consoladors",
|
575 |
+
"dink",
|
576 |
+
"canalla",
|
577 |
+
"duche",
|
578 |
+
"dique",
|
579 |
+
"ejaculació",
|
580 |
+
"ejaculat",
|
581 |
+
"ejacula",
|
582 |
+
"ejaculant",
|
583 |
+
"fag",
|
584 |
+
"fagging",
|
585 |
+
"fagot",
|
586 |
+
"fagots",
|
587 |
+
"fanny",
|
588 |
+
"felching",
|
589 |
+
"fel.lació",
|
590 |
+
"brida",
|
591 |
+
"follar",
|
592 |
+
"follat",
|
593 |
+
"escuradents",
|
594 |
+
"follant",
|
595 |
+
"folles",
|
596 |
+
"fucks",
|
597 |
+
"empacadora de llaminadures",
|
598 |
+
"déu maldit",
|
599 |
+
"deu meu",
|
600 |
+
"infern",
|
601 |
+
"hore",
|
602 |
+
"córrer",
|
603 |
+
"retrocés",
|
604 |
+
"kock",
|
605 |
+
"llavis",
|
606 |
+
"lujuria",
|
607 |
+
"lució",
|
608 |
+
"masoquista",
|
609 |
+
"masturbarse",
|
610 |
+
"puta mare",
|
611 |
+
"nazi",
|
612 |
+
"nigger",
|
613 |
+
"negres",
|
614 |
+
"orgasim",
|
615 |
+
"orgasme",
|
616 |
+
"orgasmes",
|
617 |
+
"pecker",
|
618 |
+
"penis",
|
619 |
+
"piss",
|
620 |
+
"mossegat",
|
621 |
+
"pisser",
|
622 |
+
"pisses",
|
623 |
+
"pissing",
|
624 |
+
"treure de polleguera",
|
625 |
+
"caca",
|
626 |
+
"porno",
|
627 |
+
"pornografia",
|
628 |
+
"picades",
|
629 |
+
"pube",
|
630 |
+
"coques",
|
631 |
+
"gatet",
|
632 |
+
"violació",
|
633 |
+
"violador",
|
634 |
+
"recte",
|
635 |
+
"retard",
|
636 |
+
"rimming",
|
637 |
+
"sàdic",
|
638 |
+
"cargolar",
|
639 |
+
"escrot",
|
640 |
+
"semen",
|
641 |
+
"sexe",
|
642 |
+
"shag",
|
643 |
+
"borratxos",
|
644 |
+
"transsexual",
|
645 |
+
"mossegar",
|
646 |
+
"shitted",
|
647 |
+
"skank",
|
648 |
+
"smegma",
|
649 |
+
"smut",
|
650 |
+
"arrebat",
|
651 |
+
"fill de puta",
|
652 |
+
"spac",
|
653 |
+
"spunk",
|
654 |
+
"testicle",
|
655 |
+
"tit",
|
656 |
+
"tetas",
|
657 |
+
"titt",
|
658 |
+
"turd",
|
659 |
+
"vagina",
|
660 |
+
"viagra",
|
661 |
+
"vulva",
|
662 |
+
"wang",
|
663 |
+
"wank",
|
664 |
+
"x classificat",
|
665 |
+
"xxx",
|
666 |
+
],
|
667 |
+
"en": english_badwords,
|
668 |
+
"es": english_badwords
|
669 |
+
+ [
|
670 |
+
"Asesinato",
|
671 |
+
"Bollera",
|
672 |
+
"Cabrón",
|
673 |
+
"Caca",
|
674 |
+
"Chupada",
|
675 |
+
"Chupapollas",
|
676 |
+
"Chupetón",
|
677 |
+
"Concha de tu madre",
|
678 |
+
"Coprofagía",
|
679 |
+
"Coño",
|
680 |
+
"Culo",
|
681 |
+
"Drogas",
|
682 |
+
"Esperma",
|
683 |
+
"Fiesta de salchichas",
|
684 |
+
"Follador",
|
685 |
+
"Follar",
|
686 |
+
"Gilipichis",
|
687 |
+
"Gilipollas",
|
688 |
+
"Hacer una paja",
|
689 |
+
"Haciendo el amor",
|
690 |
+
"Heroína",
|
691 |
+
"Hija de puta",
|
692 |
+
"Hijaputa",
|
693 |
+
"Hijo de puta",
|
694 |
+
"Hijoputa",
|
695 |
+
"Idiota",
|
696 |
+
"Imbécil",
|
697 |
+
"Jilipollas",
|
698 |
+
"Kapullo",
|
699 |
+
"Lameculos",
|
700 |
+
"Maciza",
|
701 |
+
"Macizorra",
|
702 |
+
"Mamada",
|
703 |
+
"Marica",
|
704 |
+
"Mariconazo",
|
705 |
+
"Maricón",
|
706 |
+
"Mierda",
|
707 |
+
"Nazi",
|
708 |
+
"Orina",
|
709 |
+
"Pedo",
|
710 |
+
"Pendejo",
|
711 |
+
"Pervertido",
|
712 |
+
"Pezón",
|
713 |
+
"Pinche",
|
714 |
+
"Pis",
|
715 |
+
"Prostituta",
|
716 |
+
"Puta",
|
717 |
+
"Racista",
|
718 |
+
"Ramera",
|
719 |
+
"Semen",
|
720 |
+
"Sexo",
|
721 |
+
"Sexo oral",
|
722 |
+
"Soplagaitas",
|
723 |
+
"Soplapollas",
|
724 |
+
"Sádico",
|
725 |
+
"Tetas grandes",
|
726 |
+
"Travesti",
|
727 |
+
"Trio",
|
728 |
+
"Tía buena",
|
729 |
+
"Verga",
|
730 |
+
"Vulva",
|
731 |
+
"aborto",
|
732 |
+
"agallas",
|
733 |
+
"anal",
|
734 |
+
"ano",
|
735 |
+
"arrebatar",
|
736 |
+
"asno",
|
737 |
+
"atornillar",
|
738 |
+
"bastardo",
|
739 |
+
"bestial",
|
740 |
+
"bestialidad",
|
741 |
+
"bolas",
|
742 |
+
"bollok",
|
743 |
+
"bolsa de pelota",
|
744 |
+
"brida",
|
745 |
+
"buceta",
|
746 |
+
"cabron",
|
747 |
+
"cagadas",
|
748 |
+
"cagado",
|
749 |
+
"cagando",
|
750 |
+
"campana",
|
751 |
+
"carajo",
|
752 |
+
"chupar la polla",
|
753 |
+
"cipa",
|
754 |
+
"clítoris",
|
755 |
+
"concha",
|
756 |
+
"consolador",
|
757 |
+
"consoladores",
|
758 |
+
"corrida",
|
759 |
+
"coño",
|
760 |
+
"coños",
|
761 |
+
"culo",
|
762 |
+
"culos",
|
763 |
+
"cunillingus",
|
764 |
+
"córneo",
|
765 |
+
"de mierda",
|
766 |
+
"dique",
|
767 |
+
"duche",
|
768 |
+
"enojado",
|
769 |
+
"escroto",
|
770 |
+
"espacio",
|
771 |
+
"estúpido",
|
772 |
+
"extremo",
|
773 |
+
"eyacula",
|
774 |
+
"eyaculación",
|
775 |
+
"eyaculado",
|
776 |
+
"eyacular",
|
777 |
+
"fagging",
|
778 |
+
"felación",
|
779 |
+
"felching",
|
780 |
+
"folla",
|
781 |
+
"follada",
|
782 |
+
"follador de culo",
|
783 |
+
"folladores",
|
784 |
+
"follar",
|
785 |
+
"fudge packer",
|
786 |
+
"gallos",
|
787 |
+
"grieta",
|
788 |
+
"hacerse una paja",
|
789 |
+
"hijo de puta",
|
790 |
+
"hore",
|
791 |
+
"infierno",
|
792 |
+
"kock",
|
793 |
+
"labios vaginales",
|
794 |
+
"los pechos",
|
795 |
+
"lujuria",
|
796 |
+
"madre folladora",
|
797 |
+
"maldita sea",
|
798 |
+
"maldito",
|
799 |
+
"maldito sea",
|
800 |
+
"mamada",
|
801 |
+
"mapache",
|
802 |
+
"maricones",
|
803 |
+
"maricón",
|
804 |
+
"martillo",
|
805 |
+
"masoquista",
|
806 |
+
"masturbarse",
|
807 |
+
"mear",
|
808 |
+
"mierda",
|
809 |
+
"molesto",
|
810 |
+
"muncher alfombra",
|
811 |
+
"nazi",
|
812 |
+
"negro",
|
813 |
+
"niggers",
|
814 |
+
"orgasimo",
|
815 |
+
"orgasmo",
|
816 |
+
"orgasmos",
|
817 |
+
"orinando",
|
818 |
+
"pelusa",
|
819 |
+
"pene",
|
820 |
+
"perra",
|
821 |
+
"perras",
|
822 |
+
"perro follador",
|
823 |
+
"pinchazo",
|
824 |
+
"pinchazos",
|
825 |
+
"pisser",
|
826 |
+
"polla",
|
827 |
+
"porno",
|
828 |
+
"pornografía",
|
829 |
+
"pube",
|
830 |
+
"puta",
|
831 |
+
"putas",
|
832 |
+
"pájaro carpintero",
|
833 |
+
"quejas",
|
834 |
+
"recto",
|
835 |
+
"retardar",
|
836 |
+
"rimming",
|
837 |
+
"sangriento",
|
838 |
+
"semen",
|
839 |
+
"sexo",
|
840 |
+
"skank",
|
841 |
+
"smegma",
|
842 |
+
"sádico",
|
843 |
+
"testículo",
|
844 |
+
"teta",
|
845 |
+
"tetas",
|
846 |
+
"tirón",
|
847 |
+
"tizón",
|
848 |
+
"tonto",
|
849 |
+
"transexual",
|
850 |
+
"vagina",
|
851 |
+
"vete a la mierda",
|
852 |
+
"viagra",
|
853 |
+
"violación",
|
854 |
+
"violador",
|
855 |
+
"vulva",
|
856 |
+
"wang",
|
857 |
+
"x clasificado",
|
858 |
+
"xxx",
|
859 |
+
"zurullo",
|
860 |
+
],
|
861 |
+
"eu": english_badwords
|
862 |
+
+ [
|
863 |
+
"abortu",
|
864 |
+
"anal",
|
865 |
+
"ipurdi",
|
866 |
+
"kabroi",
|
867 |
+
"puta",
|
868 |
+
"clitoris",
|
869 |
+
"cunillingus",
|
870 |
+
"madarikatu",
|
871 |
+
"zakil",
|
872 |
+
"hazia isuri",
|
873 |
+
"arraio",
|
874 |
+
"izorratu",
|
875 |
+
"infernu",
|
876 |
+
"emagaldu",
|
877 |
+
"lizunkeri",
|
878 |
+
"lizun",
|
879 |
+
"masokista",
|
880 |
+
"masturbatu",
|
881 |
+
"nazi",
|
882 |
+
"beltz",
|
883 |
+
"orgasmo",
|
884 |
+
"pixa",
|
885 |
+
"porno",
|
886 |
+
"pornografia",
|
887 |
+
"alu",
|
888 |
+
"bortxaketa",
|
889 |
+
"bortxatzaile",
|
890 |
+
"sadista",
|
891 |
+
"ipurzulo",
|
892 |
+
"hazi",
|
893 |
+
"semen",
|
894 |
+
"sexu",
|
895 |
+
"kaka",
|
896 |
+
"putaseme",
|
897 |
+
"barrabil",
|
898 |
+
"titi",
|
899 |
+
"bagina",
|
900 |
+
"viagra",
|
901 |
+
],
|
902 |
+
"fr": english_badwords
|
903 |
+
+ [
|
904 |
+
"MALPT",
|
905 |
+
"anal",
|
906 |
+
"anus",
|
907 |
+
"arracher",
|
908 |
+
"avortement",
|
909 |
+
"baise",
|
910 |
+
"baiser",
|
911 |
+
"baiseur de chien",
|
912 |
+
"baiseurs",
|
913 |
+
"baisée",
|
914 |
+
"bander",
|
915 |
+
"bellend",
|
916 |
+
"bestial",
|
917 |
+
"bestialité",
|
918 |
+
"bigornette",
|
919 |
+
"bite",
|
920 |
+
"bitte",
|
921 |
+
"bloblos",
|
922 |
+
"bollok",
|
923 |
+
"boob",
|
924 |
+
"bordel",
|
925 |
+
"bourré",
|
926 |
+
"bourrée",
|
927 |
+
"bout",
|
928 |
+
"brackmard",
|
929 |
+
"branlage",
|
930 |
+
"branler",
|
931 |
+
"branlette",
|
932 |
+
"branleur",
|
933 |
+
"branleuse",
|
934 |
+
"bride",
|
935 |
+
"brouter le cresson",
|
936 |
+
"buceta",
|
937 |
+
"caca",
|
938 |
+
"chatte",
|
939 |
+
"chattes",
|
940 |
+
"chiasse",
|
941 |
+
"chienne",
|
942 |
+
"chiennes",
|
943 |
+
"chier",
|
944 |
+
"chiottes",
|
945 |
+
"chié",
|
946 |
+
"cipa",
|
947 |
+
"clito",
|
948 |
+
"clitoris",
|
949 |
+
"clochard",
|
950 |
+
"cochonneries",
|
951 |
+
"con",
|
952 |
+
"connard",
|
953 |
+
"connards",
|
954 |
+
"connasse",
|
955 |
+
"conne",
|
956 |
+
"convoitise",
|
957 |
+
"coq",
|
958 |
+
"coqs",
|
959 |
+
"corné",
|
960 |
+
"couilles",
|
961 |
+
"cramouille",
|
962 |
+
"cran",
|
963 |
+
"cul",
|
964 |
+
"culs",
|
965 |
+
"cunillingus",
|
966 |
+
"damné",
|
967 |
+
"des balles",
|
968 |
+
"digue",
|
969 |
+
"duché",
|
970 |
+
"déconne",
|
971 |
+
"déconner",
|
972 |
+
"emballeur de fudge",
|
973 |
+
"emmerdant",
|
974 |
+
"emmerder",
|
975 |
+
"emmerdeur",
|
976 |
+
"emmerdeuse",
|
977 |
+
"enculer",
|
978 |
+
"enculeur",
|
979 |
+
"enculeurs",
|
980 |
+
"enculé",
|
981 |
+
"enculée",
|
982 |
+
"enfer",
|
983 |
+
"enfoiré",
|
984 |
+
"enfoirée",
|
985 |
+
"espacer",
|
986 |
+
"fagging",
|
987 |
+
"fagot",
|
988 |
+
"fagots",
|
989 |
+
"faire chier",
|
990 |
+
"fellation",
|
991 |
+
"fente",
|
992 |
+
"fille de pute",
|
993 |
+
"fils de pute",
|
994 |
+
"folle",
|
995 |
+
"foutre",
|
996 |
+
"fuckings",
|
997 |
+
"gerbe",
|
998 |
+
"gerber",
|
999 |
+
"godemiché",
|
1000 |
+
"godes",
|
1001 |
+
"gouine",
|
1002 |
+
"grande folle",
|
1003 |
+
"grogniasse",
|
1004 |
+
"gueule",
|
1005 |
+
"hore",
|
1006 |
+
"jouir",
|
1007 |
+
"kock",
|
1008 |
+
"la putain de ta mère",
|
1009 |
+
"les lèvres",
|
1010 |
+
"les seins",
|
1011 |
+
"luxure",
|
1012 |
+
"masochiste",
|
1013 |
+
"masturber",
|
1014 |
+
"merde",
|
1015 |
+
"merdeuse",
|
1016 |
+
"merdeux",
|
1017 |
+
"merdique",
|
1018 |
+
"meuf",
|
1019 |
+
"mère enculée",
|
1020 |
+
"ménage à trois",
|
1021 |
+
"mésange",
|
1022 |
+
"nazi",
|
1023 |
+
"negro",
|
1024 |
+
"nique ta mère",
|
1025 |
+
"nique ta race",
|
1026 |
+
"nègre",
|
1027 |
+
"nègres",
|
1028 |
+
"orgasim",
|
1029 |
+
"orgasme",
|
1030 |
+
"orgasmes",
|
1031 |
+
"palucher",
|
1032 |
+
"penchant",
|
1033 |
+
"pipe",
|
1034 |
+
"pipi",
|
1035 |
+
"piquer",
|
1036 |
+
"piqûres",
|
1037 |
+
"pisse",
|
1038 |
+
"pisser",
|
1039 |
+
"porno",
|
1040 |
+
"pornographie",
|
1041 |
+
"pouffiasse",
|
1042 |
+
"pousse-crotte",
|
1043 |
+
"pube",
|
1044 |
+
"putain",
|
1045 |
+
"putain de",
|
1046 |
+
"pute",
|
1047 |
+
"pédale",
|
1048 |
+
"pédé",
|
1049 |
+
"pénis",
|
1050 |
+
"péter",
|
1051 |
+
"queue",
|
1052 |
+
"quéquette",
|
1053 |
+
"ramoner",
|
1054 |
+
"rectum",
|
1055 |
+
"retard",
|
1056 |
+
"rimming",
|
1057 |
+
"râpé",
|
1058 |
+
"sac de billes",
|
1059 |
+
"sac à foutre",
|
1060 |
+
"sac à merde",
|
1061 |
+
"sadique",
|
1062 |
+
"salaud",
|
1063 |
+
"salope",
|
1064 |
+
"salopes",
|
1065 |
+
"sanglant",
|
1066 |
+
"scrotum",
|
1067 |
+
"se branler",
|
1068 |
+
"seins",
|
1069 |
+
"sexe",
|
1070 |
+
"skank",
|
1071 |
+
"smegma",
|
1072 |
+
"sperme",
|
1073 |
+
"suce",
|
1074 |
+
"suceuse",
|
1075 |
+
"tanche",
|
1076 |
+
"tapette",
|
1077 |
+
"tapis muncher",
|
1078 |
+
"testicule",
|
1079 |
+
"teuch",
|
1080 |
+
"titt",
|
1081 |
+
"transexuelle",
|
1082 |
+
"tremper",
|
1083 |
+
"tringler",
|
1084 |
+
"trique",
|
1085 |
+
"troncher",
|
1086 |
+
"trou du cul",
|
1087 |
+
"turlute",
|
1088 |
+
"vagin",
|
1089 |
+
"viagra",
|
1090 |
+
"violeur",
|
1091 |
+
"vulve",
|
1092 |
+
"wang",
|
1093 |
+
"x évalué",
|
1094 |
+
"xxx",
|
1095 |
+
"zigounette",
|
1096 |
+
"zizi",
|
1097 |
+
"zut",
|
1098 |
+
"éjaculant",
|
1099 |
+
"éjaculation",
|
1100 |
+
"éjacule",
|
1101 |
+
"éjaculer",
|
1102 |
+
"éjaculé",
|
1103 |
+
"étron",
|
1104 |
+
],
|
1105 |
+
"hi": english_badwords
|
1106 |
+
+ [
|
1107 |
+
"aand",
|
1108 |
+
"aandu",
|
1109 |
+
"balatkar",
|
1110 |
+
"balatkari",
|
1111 |
+
"behen chod",
|
1112 |
+
"beti chod",
|
1113 |
+
"bhadva",
|
1114 |
+
"bhadve",
|
1115 |
+
"bhandve",
|
1116 |
+
"bhangi",
|
1117 |
+
"bhootni ke",
|
1118 |
+
"bhosad",
|
1119 |
+
"bhosadi ke",
|
1120 |
+
"bitching",
|
1121 |
+
"blowjob",
|
1122 |
+
"bollok",
|
1123 |
+
"boobe",
|
1124 |
+
"buceta",
|
1125 |
+
"chakke",
|
1126 |
+
"chinaal",
|
1127 |
+
"chinki",
|
1128 |
+
"chod",
|
1129 |
+
"chodu",
|
1130 |
+
"chodu bhagat",
|
1131 |
+
"chooche",
|
1132 |
+
"choochi",
|
1133 |
+
"choope",
|
1134 |
+
"choot",
|
1135 |
+
"choot ke baal",
|
1136 |
+
"chootia",
|
1137 |
+
"chootiya",
|
1138 |
+
"chuche",
|
1139 |
+
"chuchi",
|
1140 |
+
"chudaap",
|
1141 |
+
"chudai khanaa",
|
1142 |
+
"chudam chudai",
|
1143 |
+
"chude",
|
1144 |
+
"chut",
|
1145 |
+
"chut ka chuha",
|
1146 |
+
"chut ka churan",
|
1147 |
+
"chut ka mail",
|
1148 |
+
"chut ke baal",
|
1149 |
+
"chut ke dhakkan",
|
1150 |
+
"chut maarli",
|
1151 |
+
"chutad",
|
1152 |
+
"chutadd",
|
1153 |
+
"chutan",
|
1154 |
+
"chutia",
|
1155 |
+
"chutiya",
|
1156 |
+
"cipa",
|
1157 |
+
"cunillingus",
|
1158 |
+
"dink",
|
1159 |
+
"duche",
|
1160 |
+
"ejaculated",
|
1161 |
+
"ejaculates",
|
1162 |
+
"ejaculating",
|
1163 |
+
"fagging",
|
1164 |
+
"fagots",
|
1165 |
+
"felching",
|
1166 |
+
"fuckers",
|
1167 |
+
"fuckings",
|
1168 |
+
"fucks",
|
1169 |
+
"gaand",
|
1170 |
+
"gaandfat",
|
1171 |
+
"gaandmasti",
|
1172 |
+
"gaandufad",
|
1173 |
+
"gandfattu",
|
1174 |
+
"gandu",
|
1175 |
+
"gashti",
|
1176 |
+
"gasti",
|
1177 |
+
"ghassa",
|
1178 |
+
"ghasti",
|
1179 |
+
"gucchi",
|
1180 |
+
"gucchu",
|
1181 |
+
"harami",
|
1182 |
+
"haramzade",
|
1183 |
+
"hawas",
|
1184 |
+
"hawas ke pujari",
|
1185 |
+
"hijda",
|
1186 |
+
"hijra",
|
1187 |
+
"jhant",
|
1188 |
+
"jhant chaatu",
|
1189 |
+
"jhant ka keeda",
|
1190 |
+
"jhant ke baal",
|
1191 |
+
"jhant ke pissu",
|
1192 |
+
"jhantu",
|
1193 |
+
"kamine",
|
1194 |
+
"kaminey",
|
1195 |
+
"kanjar",
|
1196 |
+
"kutta",
|
1197 |
+
"kutta kamina",
|
1198 |
+
"kutte ki aulad",
|
1199 |
+
"kutte ki jat",
|
1200 |
+
"kuttiya",
|
1201 |
+
"loda",
|
1202 |
+
"lodu",
|
1203 |
+
"lund",
|
1204 |
+
"lund choos",
|
1205 |
+
"lund ka bakkal",
|
1206 |
+
"lund khajoor",
|
1207 |
+
"lundtopi",
|
1208 |
+
"lundure",
|
1209 |
+
"lusting",
|
1210 |
+
"maa ki chut",
|
1211 |
+
"maal",
|
1212 |
+
"madar chod",
|
1213 |
+
"madarchod",
|
1214 |
+
"madhavchod",
|
1215 |
+
"masochist",
|
1216 |
+
"mooh mein le",
|
1217 |
+
"mutth",
|
1218 |
+
"mutthal",
|
1219 |
+
"najayaz",
|
1220 |
+
"najayaz aulaad",
|
1221 |
+
"najayaz paidaish",
|
1222 |
+
"orgasim",
|
1223 |
+
"paki",
|
1224 |
+
"pataka",
|
1225 |
+
"patakha",
|
1226 |
+
"pisser",
|
1227 |
+
"pisses",
|
1228 |
+
"pissing",
|
1229 |
+
"pube",
|
1230 |
+
"pussies",
|
1231 |
+
"raand",
|
1232 |
+
"randaap",
|
1233 |
+
"randi",
|
1234 |
+
"randi rona",
|
1235 |
+
"rimming",
|
1236 |
+
"saala",
|
1237 |
+
"saala kutta",
|
1238 |
+
"saali kutti",
|
1239 |
+
"saali randi",
|
1240 |
+
"shagging",
|
1241 |
+
"shite",
|
1242 |
+
"shitted",
|
1243 |
+
"shitting",
|
1244 |
+
"shitty",
|
1245 |
+
"skank",
|
1246 |
+
"sluts",
|
1247 |
+
"spac",
|
1248 |
+
"suar",
|
1249 |
+
"suar ke lund",
|
1250 |
+
"suar ki aulad",
|
1251 |
+
"tatte",
|
1252 |
+
"tatti",
|
1253 |
+
"teri maa ka bhosada",
|
1254 |
+
"teri maa ka boba chusu",
|
1255 |
+
"teri maa ki behenchod ",
|
1256 |
+
"teri maa ki chut",
|
1257 |
+
"tharak",
|
1258 |
+
"tharki",
|
1259 |
+
"titt",
|
1260 |
+
"tu chuda",
|
1261 |
+
"turd",
|
1262 |
+
"wank",
|
1263 |
+
"xxx",
|
1264 |
+
"अंडकोश की थैली",
|
1265 |
+
"अंडा",
|
1266 |
+
"अरे नहीं",
|
1267 |
+
"अश्लील",
|
1268 |
+
"उल्लू",
|
1269 |
+
"एक्स रेटेड",
|
1270 |
+
"ओगाज़्म",
|
1271 |
+
"कमबख्त",
|
1272 |
+
"काम करना",
|
1273 |
+
"कामोद्दीपक चित्र",
|
1274 |
+
"कालीन का चूरा",
|
1275 |
+
"किन्नर",
|
1276 |
+
"कुतिया",
|
1277 |
+
"कुत्ते-कमीने",
|
1278 |
+
"कून",
|
1279 |
+
"कॉक",
|
1280 |
+
"गड़बड़",
|
1281 |
+
"गधा कमीने",
|
1282 |
+
"गधे",
|
1283 |
+
"गर्भपात",
|
1284 |
+
"गुदा",
|
1285 |
+
"गेंद का थैला",
|
1286 |
+
"गेंदों",
|
1287 |
+
"गोली चलाने की आवाज़",
|
1288 |
+
"घटिया इंसान",
|
1289 |
+
"चाकलेट का रंग",
|
1290 |
+
"चिंक",
|
1291 |
+
"चुभन",
|
1292 |
+
"चूची",
|
1293 |
+
"चूतड़",
|
1294 |
+
"चोंच",
|
1295 |
+
"छीनना",
|
1296 |
+
"जी में आये करो",
|
1297 |
+
"झटका बंद",
|
1298 |
+
"ठगना पैकर",
|
1299 |
+
"डिल्डो",
|
1300 |
+
"दुष्ट",
|
1301 |
+
"दूर जाने का अभद्र संकेत देना",
|
1302 |
+
"धत् तेरे की",
|
1303 |
+
"नरक",
|
1304 |
+
"नाजी",
|
1305 |
+
"निकला हुआ किनारा",
|
1306 |
+
"नितंब",
|
1307 |
+
"पंगा लेना",
|
1308 |
+
"पिछाड़ी",
|
1309 |
+
"पीड़न कामुक",
|
1310 |
+
"पेशाब",
|
1311 |
+
"पॉर्न",
|
1312 |
+
"फटना",
|
1313 |
+
"फूहड़",
|
1314 |
+
"बकवास",
|
1315 |
+
"बट",
|
1316 |
+
"बलात्कार",
|
1317 |
+
"बहुत मदहोश",
|
1318 |
+
"बांध",
|
1319 |
+
"बिल्ली",
|
1320 |
+
"बेल अंत",
|
1321 |
+
"बेवकूफों",
|
1322 |
+
"बोल पड़ना",
|
1323 |
+
"भगवान-शापित",
|
1324 |
+
"भगशेफ",
|
1325 |
+
"मल",
|
1326 |
+
"मलाशय",
|
1327 |
+
"माँ कमीने",
|
1328 |
+
"मुखमैथुन",
|
1329 |
+
"मुर्गा",
|
1330 |
+
"मुर्गा के",
|
1331 |
+
"मुर्गा चूसने वाला",
|
1332 |
+
"मूर्ख",
|
1333 |
+
"मैल",
|
1334 |
+
"योनि",
|
1335 |
+
"योनी",
|
1336 |
+
"यौन-संबंध",
|
1337 |
+
"रक्तरंजित",
|
1338 |
+
"लानत है",
|
1339 |
+
"लिंग",
|
1340 |
+
"लुटेरा",
|
1341 |
+
"लेबिया",
|
1342 |
+
"वहशी",
|
1343 |
+
"वहशीता",
|
1344 |
+
"वियाग्रा",
|
1345 |
+
"वीर्य",
|
1346 |
+
"वेश्या",
|
1347 |
+
"वैंग",
|
1348 |
+
"वो साले",
|
1349 |
+
"शिफ़्ट को",
|
1350 |
+
"शिश्नमल",
|
1351 |
+
"संभोग सुख",
|
1352 |
+
"सह",
|
1353 |
+
"सह शॉट",
|
1354 |
+
"साहस",
|
1355 |
+
"सिगरेट",
|
1356 |
+
"सींग का बना हुआ",
|
1357 |
+
"स्तन",
|
1358 |
+
"स्तनों",
|
1359 |
+
"हवस",
|
1360 |
+
"हस्तमैथुन",
|
1361 |
+
"होमोसेक्सुअल",
|
1362 |
+
"होर",
|
1363 |
+
],
|
1364 |
+
"id": english_badwords
|
1365 |
+
+ [
|
1366 |
+
"abortus",
|
1367 |
+
"anal",
|
1368 |
+
"dubur",
|
1369 |
+
"pantat",
|
1370 |
+
"bajingan",
|
1371 |
+
"keledai",
|
1372 |
+
"keparat",
|
1373 |
+
"tas bola",
|
1374 |
+
"bola",
|
1375 |
+
"bellend",
|
1376 |
+
"kejam",
|
1377 |
+
"kebinatangan",
|
1378 |
+
"menggerutu",
|
1379 |
+
"pelacur",
|
1380 |
+
"berdarah",
|
1381 |
+
"blowjob",
|
1382 |
+
"bollok",
|
1383 |
+
"dada",
|
1384 |
+
"payudara",
|
1385 |
+
"buceta",
|
1386 |
+
"gelandangan",
|
1387 |
+
"pengunyah karpet",
|
1388 |
+
"celah",
|
1389 |
+
"cipa",
|
1390 |
+
"kelentit",
|
1391 |
+
"kokang",
|
1392 |
+
"pengisap ayam",
|
1393 |
+
"ayam",
|
1394 |
+
"coon",
|
1395 |
+
"sampah",
|
1396 |
+
"air mani",
|
1397 |
+
"cumshot",
|
1398 |
+
"cunillingus",
|
1399 |
+
"vagina",
|
1400 |
+
"mengutuk",
|
1401 |
+
"kontol",
|
1402 |
+
"dildo",
|
1403 |
+
"dink",
|
1404 |
+
"anjing-keparat",
|
1405 |
+
"duche",
|
1406 |
+
"tanggul",
|
1407 |
+
"berejakulasi",
|
1408 |
+
"ejakulasi",
|
1409 |
+
"homo",
|
1410 |
+
"fagging",
|
1411 |
+
"kayu bakar",
|
1412 |
+
"penggemar",
|
1413 |
+
"felching",
|
1414 |
+
"fellatio",
|
1415 |
+
"flens",
|
1416 |
+
"brengsek",
|
1417 |
+
"kacau",
|
1418 |
+
"sialan",
|
1419 |
+
"persetan",
|
1420 |
+
"pengepakan fudge",
|
1421 |
+
"terkutuk",
|
1422 |
+
"ya tuhan",
|
1423 |
+
"neraka",
|
1424 |
+
"hore",
|
1425 |
+
"terangsang",
|
1426 |
+
"kock",
|
1427 |
+
"labia",
|
1428 |
+
"nafsu",
|
1429 |
+
"bernafsu",
|
1430 |
+
"masokis",
|
1431 |
+
"masturbasi",
|
1432 |
+
"keparat ibu",
|
1433 |
+
"nazi",
|
1434 |
+
"orang negro",
|
1435 |
+
"negro",
|
1436 |
+
"orgasim",
|
1437 |
+
"orgasme",
|
1438 |
+
"cotok",
|
1439 |
+
"penis",
|
1440 |
+
"kencing",
|
1441 |
+
"kesal",
|
1442 |
+
"pisser",
|
1443 |
+
"bikin",
|
1444 |
+
"buritan",
|
1445 |
+
"porno",
|
1446 |
+
"pornografi",
|
1447 |
+
"tusukan",
|
1448 |
+
"menusuk",
|
1449 |
+
"pube",
|
1450 |
+
"pussies",
|
1451 |
+
"memperkosa",
|
1452 |
+
"pemerkosa",
|
1453 |
+
"memperlambat",
|
1454 |
+
"rimming",
|
1455 |
+
"sadis",
|
1456 |
+
"meniduri",
|
1457 |
+
"skrotum",
|
1458 |
+
"seks",
|
1459 |
+
"bercinta",
|
1460 |
+
"waria",
|
1461 |
+
"kotoran",
|
1462 |
+
"shite",
|
1463 |
+
"kengerian",
|
1464 |
+
"dikirim",
|
1465 |
+
"buang hajat",
|
1466 |
+
"menyebalkan",
|
1467 |
+
"smegma",
|
1468 |
+
"jelaga",
|
1469 |
+
"merebut",
|
1470 |
+
"dasar bajingan",
|
1471 |
+
"ruang",
|
1472 |
+
"keberanian",
|
1473 |
+
"buah pelir",
|
1474 |
+
"titt",
|
1475 |
+
"viagra",
|
1476 |
+
"vulva",
|
1477 |
+
"wang",
|
1478 |
+
"terima kasih",
|
1479 |
+
"x diberi peringkat",
|
1480 |
+
"xxx",
|
1481 |
+
],
|
1482 |
+
"kn": english_badwords
|
1483 |
+
+ [
|
1484 |
+
"ಗರ್ಭಪಾತ",
|
1485 |
+
"ಗುದ",
|
1486 |
+
"ಗುದದ್ವಾರ",
|
1487 |
+
"ಕತ್ತೆ",
|
1488 |
+
"ಆಶ್-ಫಕರ್",
|
1489 |
+
"ಅಸ್ಹೋಲ್",
|
1490 |
+
"ಅಸೋಲೆಸ್",
|
1491 |
+
"ಬಾಲ್ಬಾಗ್",
|
1492 |
+
"ಚೆಂಡುಗಳು",
|
1493 |
+
"ಬಾಸ್ಟರ್ಡ್",
|
1494 |
+
"ಬೆಲೆಂಡ್",
|
1495 |
+
"ಮೃದ್ವಂಗಿ",
|
1496 |
+
"ಪ್ರಾಣಿಜನ್ಯತೆ",
|
1497 |
+
"ಬಿಚ್",
|
1498 |
+
"ಬಿಟ್ಚಿಸ್",
|
1499 |
+
"ಬೆಚಿಂಗ್",
|
1500 |
+
"ರಕ್ತಸಿಕ್ತ",
|
1501 |
+
"ಬ್ಲೋಜಾಬ್",
|
1502 |
+
"ಬೊಲ್ಲೊಕ್",
|
1503 |
+
"ಕುರುಚಲು ಗಿಡ",
|
1504 |
+
"ಬೂಬಿಗಳು",
|
1505 |
+
"ಸ್ತನಗಳನ್ನು",
|
1506 |
+
"ಬುಕೆಟಾ",
|
1507 |
+
"ತಿಕ",
|
1508 |
+
"ಬಟ್",
|
1509 |
+
"ಕಾರ್ಪೆಟ್ ಮಂಚರ್",
|
1510 |
+
"ಚಿಂಕ್",
|
1511 |
+
"ಸಿಪಾ",
|
1512 |
+
"ಚಂದ್ರನಾಡಿ",
|
1513 |
+
"ಕೋಳಿ",
|
1514 |
+
"ಕೋಳಿ ಸಕ್ಕರ್",
|
1515 |
+
"ಕಾಕ್ಸ್",
|
1516 |
+
"ಕೂನ್",
|
1517 |
+
"ಅಮೇಧ್ಯ",
|
1518 |
+
"ಕಮ್",
|
1519 |
+
"ಕಮ್ಶಾಟ್",
|
1520 |
+
"ಕುನಿಲ್ಲಸ್",
|
1521 |
+
"ಕಂಟ್",
|
1522 |
+
"ಡ್ಯಾಮ್",
|
1523 |
+
"ಡಿಕ್",
|
1524 |
+
"ದ್ವಿಧ್ರುವಿ",
|
1525 |
+
"dildos",
|
1526 |
+
"ಡಿಂಕ್",
|
1527 |
+
"ನಾಯಿ-ಫಕರ್",
|
1528 |
+
"ಡಚೆ",
|
1529 |
+
"ಡೈಕ್",
|
1530 |
+
"ಹೊರಹೊಮ್ಮಿಸು",
|
1531 |
+
"ಸ್ಫೂರ್ತಿ",
|
1532 |
+
"ಎಜಾಕ್ಯುಲೇಟ್ಸ್",
|
1533 |
+
"ಇಜಲಲೇಟಿಂಗ್",
|
1534 |
+
"ಉದ್ಗಾರ",
|
1535 |
+
"ತಮಾಷೆ",
|
1536 |
+
"ಮಂದಗತಿ",
|
1537 |
+
"ಮಬ್ಬು",
|
1538 |
+
"fagots",
|
1539 |
+
"ಫ್ಯಾನಿ",
|
1540 |
+
"ಹೊಡೆತ",
|
1541 |
+
"ಪತನ",
|
1542 |
+
"ಚಾಚುಪಟ್ಟಿ",
|
1543 |
+
"ಫಕ್",
|
1544 |
+
"ನಾಶವಾಗಿದ್ದನು",
|
1545 |
+
"ಫಕರ್",
|
1546 |
+
"fuckers",
|
1547 |
+
"ಫಕಿಂಗ್",
|
1548 |
+
"ಫಕಿಂಗ್ಸ್",
|
1549 |
+
"ಇಷ್ಟಪಡುತ್ತಾನೆ",
|
1550 |
+
"ಮಿಠಾಯಿ ಪ್ಯಾಕರ್",
|
1551 |
+
"ದೇವರನ್ನು ಹಾನಿಗೊಳಗಾಯಿತು",
|
1552 |
+
"ಗಾಡ್ಡಮ್",
|
1553 |
+
"ನರಕ",
|
1554 |
+
"ಹೋರ್",
|
1555 |
+
"ಮೊನಚಾದ",
|
1556 |
+
"ಜರ್ಕ್-ಆಫ್",
|
1557 |
+
"ಕೋಕ್",
|
1558 |
+
"ಯೋನಿಯ",
|
1559 |
+
"ಕಾಮ",
|
1560 |
+
"ಕಾಮುಕ",
|
1561 |
+
"ಮಾಸೋಚಿಸ್ಟ್",
|
1562 |
+
"ಹಸ್ತಮೈಥುನ ಮಾಡು",
|
1563 |
+
"ತಾಯಿ ಫಕರ್",
|
1564 |
+
"ನಾಜಿ",
|
1565 |
+
"ನಿಗರ್",
|
1566 |
+
"ನಿಗ್ಗರ್ಗಳು",
|
1567 |
+
"ಒರಾಸಿಮ್",
|
1568 |
+
"ಪರಾಕಾಷ್ಠೆ",
|
1569 |
+
"ಪರಾಕಾಷ್ಠೆಗಳನ್ನು",
|
1570 |
+
"ಪೆಕರ್",
|
1571 |
+
"ಶಿಶ್ನ",
|
1572 |
+
"ಮೂತ್ರ ವಿಸರ್ಜಿಸು",
|
1573 |
+
"ನಿರುತ್ಸಾಹಗೊಂಡಿದೆ",
|
1574 |
+
"ಪಿಸರ್",
|
1575 |
+
"ಮೂತ್ರಪಿಂಡಗಳು",
|
1576 |
+
"pissing",
|
1577 |
+
"ಪಿಸ್ಸಾಫ್",
|
1578 |
+
"ಪೂಪ್",
|
1579 |
+
"ಅಶ್ಲೀಲತೆ",
|
1580 |
+
"ಅಶ್ಲೀಲ",
|
1581 |
+
"ಚುಚ್ಚು",
|
1582 |
+
"ಪ್ರಿಕ್ಸ್",
|
1583 |
+
"ಪಬ್",
|
1584 |
+
"ಪುಸಿಗಳು",
|
1585 |
+
"ಪುಸಿ",
|
1586 |
+
"ಅತ್ಯಾಚಾರ",
|
1587 |
+
"ಅತ್ಯಾಚಾರಿ",
|
1588 |
+
"ಗುದನಾಳದ",
|
1589 |
+
"ರಿಟಾರ್ಡ್",
|
1590 |
+
"ಹಚ್ಚುವುದು",
|
1591 |
+
"ದುಃಖಗಾರ",
|
1592 |
+
"ತಿರುಗಿಸುವುದು",
|
1593 |
+
"ಸ್ಕ್ರೋಟಮ್",
|
1594 |
+
"ವೀರ್ಯ",
|
1595 |
+
"ಲೈಂಗಿಕತೆ",
|
1596 |
+
"ಶಾಗ್",
|
1597 |
+
"ಶಾಗ್ಗಿಂಗ್",
|
1598 |
+
"ಶೆಮೇಲ್",
|
1599 |
+
"ಶಿಟ್",
|
1600 |
+
"ಷೈಟ್",
|
1601 |
+
"ಶಿಟ್ಸ್",
|
1602 |
+
"shitted",
|
1603 |
+
"ಅಲುಗಾಡುವಿಕೆ",
|
1604 |
+
"ಅಸಹ್ಯ",
|
1605 |
+
"ಸ್ಕಾಂಕ್",
|
1606 |
+
"ಸೂಳೆ",
|
1607 |
+
"ಸ್ಲಟ್ಗಳು",
|
1608 |
+
"ಸ್ಮೆಗ್ಮಾ",
|
1609 |
+
"ಕೊಳೆತ",
|
1610 |
+
"ಸ್ನ್ಯಾಚ್",
|
1611 |
+
"ಮಗ-ಆಫ್-ಬಿಚ್",
|
1612 |
+
"spac",
|
1613 |
+
"ಉಬ್ಬು",
|
1614 |
+
"ವೃಷಣ",
|
1615 |
+
"ಟಿಟ್",
|
1616 |
+
"ಚೇಕಡಿ ಹಕ್ಕಿಗಳು",
|
1617 |
+
"turd",
|
1618 |
+
"ಯೋನಿ",
|
1619 |
+
"ವಯಾಗ್ರ",
|
1620 |
+
"ವಾಂಗ್",
|
1621 |
+
"ಮುಷ್ಕರ",
|
1622 |
+
"x ರೇಟೆಡ್",
|
1623 |
+
"xxx",
|
1624 |
+
],
|
1625 |
+
"ml": english_badwords
|
1626 |
+
+ [
|
1627 |
+
"ഗർഭഛിദ്രം",
|
1628 |
+
"വിശപ്പ്",
|
1629 |
+
"മലദ്വാരം",
|
1630 |
+
"കഴുത",
|
1631 |
+
"അസി ഫക്കർ",
|
1632 |
+
"കഴുതകളെ",
|
1633 |
+
"ആസ്ഹോൾ",
|
1634 |
+
"അശ്ളീലങ്ങൾ",
|
1635 |
+
"ബോൾബാഗ്",
|
1636 |
+
"പന്തുകൾ",
|
1637 |
+
"തന്തയില്ലാത്തവൻ",
|
1638 |
+
"ബെല്ലെൻഡ്",
|
1639 |
+
"മൃഗീയമായ",
|
1640 |
+
"മൃഗീയത",
|
1641 |
+
"ബിച്ച്",
|
1642 |
+
"ബിച്ചുകൾ",
|
1643 |
+
"ബിപിഡിംഗ്",
|
1644 |
+
"രക്തരൂക്ഷിതമായ",
|
1645 |
+
"ആശ്വാസം",
|
1646 |
+
"ബലോക്ക്",
|
1647 |
+
"ബോബ്",
|
1648 |
+
"പൂക്കൾ",
|
1649 |
+
"സ്തനങ്ങൾ",
|
1650 |
+
"ബ്യൂട്ടാ",
|
1651 |
+
"ബം",
|
1652 |
+
"മയക്കുമരുന്ന്",
|
1653 |
+
"പരവതാനി മാൻച്ചർ",
|
1654 |
+
"ചുംബ്",
|
1655 |
+
"സിപാ",
|
1656 |
+
"ക്ലോറിസിസ്",
|
1657 |
+
"കോക്ക്",
|
1658 |
+
"കോക്ക് സക്കർ",
|
1659 |
+
"കോക്സ്",
|
1660 |
+
"കോൺ",
|
1661 |
+
"ക്രാപ്പ്",
|
1662 |
+
"ശുക്ലം",
|
1663 |
+
"പുരുഷാരം",
|
1664 |
+
"സി",
|
1665 |
+
"മുഷിഞ്ഞ",
|
1666 |
+
"കഷ്ടം",
|
1667 |
+
"ഡിക്ക്",
|
1668 |
+
"ഡിൽഡോ",
|
1669 |
+
"dildos",
|
1670 |
+
"ഡൈൻ",
|
1671 |
+
"നായ-ഫക്കർ",
|
1672 |
+
"ഡച്ച്",
|
1673 |
+
"ഡൈകെ",
|
1674 |
+
"ശമിപ്പിക്കുക",
|
1675 |
+
"മോഷ്ടിച്ചു",
|
1676 |
+
"വികാരങ്ങൾ",
|
1677 |
+
"വിരസത",
|
1678 |
+
"മടി",
|
1679 |
+
"ക്ഷീണിപ്പിക്കുക",
|
1680 |
+
"fagot",
|
1681 |
+
"വഞ്ചന",
|
1682 |
+
"ഫാനി",
|
1683 |
+
"വേദന",
|
1684 |
+
"flange",
|
1685 |
+
"ഊമ്പി",
|
1686 |
+
"സംഭോഗം ചെയ്യുക",
|
1687 |
+
"ഫക്കർ",
|
1688 |
+
"നർമ്മം",
|
1689 |
+
"ഫഡ്ജ് പാക്കർ",
|
1690 |
+
"ദൈവം-കൊള്ളിത",
|
1691 |
+
"ഗോഡ്ഡം",
|
1692 |
+
"നരകം",
|
1693 |
+
"വയ്ക്കുക",
|
1694 |
+
"വൃത്തികെട്ട",
|
1695 |
+
"ജെർക് ഓഫ്",
|
1696 |
+
"കിക്ക്",
|
1697 |
+
"ലാബിയ",
|
1698 |
+
"മോഹം",
|
1699 |
+
"മോഹഭംഗം",
|
1700 |
+
"മാസോച്ചിസ്റ്റ്",
|
1701 |
+
"സ്വയംഭോഗം ചെയ്യുക",
|
1702 |
+
"അമ്മ ഫക്കർ",
|
1703 |
+
"നാസി",
|
1704 |
+
"നിഗർ",
|
1705 |
+
"മയക്കുമരുന്നുകൾ",
|
1706 |
+
"രതിമൂർച്ഛ",
|
1707 |
+
"പെക്കർ",
|
1708 |
+
"ലിംഗം",
|
1709 |
+
"മൂത്രമൊഴിക്കുക",
|
1710 |
+
"കുഴഞ്ഞുവീഴുന്നു",
|
1711 |
+
"പിസ്സർ",
|
1712 |
+
"പിസ്സകൾ",
|
1713 |
+
"pissing",
|
1714 |
+
"പിസ്സോഫ്",
|
1715 |
+
"poop",
|
1716 |
+
"അശ്ലീലം",
|
1717 |
+
"അശ്ലീലത",
|
1718 |
+
"പ്രാവി",
|
1719 |
+
"വിസർജ്യങ്ങൾ",
|
1720 |
+
"പ്യൂബ്",
|
1721 |
+
"pussies",
|
1722 |
+
"pussy",
|
1723 |
+
"ബലാൽസംഗം",
|
1724 |
+
"ബലാത്സംഗം",
|
1725 |
+
"മലാശയം",
|
1726 |
+
"തുടരുക",
|
1727 |
+
"റിമ്മിംഗ്",
|
1728 |
+
"സചിസ്റ്റ്",
|
1729 |
+
"വഞ്ചി",
|
1730 |
+
"പുല്ല്",
|
1731 |
+
"ബീജം",
|
1732 |
+
"ശവം",
|
1733 |
+
"ഷാഗിംഗ്",
|
1734 |
+
"അവൾ",
|
1735 |
+
"ഷീറ്റ്",
|
1736 |
+
"ഷെയ്റ്റ്",
|
1737 |
+
"shits",
|
1738 |
+
"തിന്നിട്ടില്ല",
|
1739 |
+
"ഷോർട്ട്",
|
1740 |
+
"ഷൈറ്റി",
|
1741 |
+
"സ്കാൻ",
|
1742 |
+
"മന്ദഹസരം",
|
1743 |
+
"സ്നെഗമാ",
|
1744 |
+
"പുഞ്ചിരി",
|
1745 |
+
"പിടിക്കുക",
|
1746 |
+
"വെറുക്കപ്പെട്ടയാൾ",
|
1747 |
+
"സ്പെയ്ക്",
|
1748 |
+
"തുളച്ച്",
|
1749 |
+
"വൃഷണം",
|
1750 |
+
"പേ",
|
1751 |
+
"ടിത്ത്",
|
1752 |
+
"കുഴപ്പമില്ല",
|
1753 |
+
"യോനി",
|
1754 |
+
"വരാഗ്ര",
|
1755 |
+
"വാൽവ",
|
1756 |
+
"വാങ്",
|
1757 |
+
"വാൻ",
|
1758 |
+
"വേശ്യ",
|
1759 |
+
"x റേറ്റുചെയ്തു",
|
1760 |
+
"xxx",
|
1761 |
+
],
|
1762 |
+
"mr": english_badwords
|
1763 |
+
+ [
|
1764 |
+
"गर्भपात",
|
1765 |
+
"गुदा",
|
1766 |
+
"गाढव",
|
1767 |
+
"गांडुळ",
|
1768 |
+
"asses",
|
1769 |
+
"asshole",
|
1770 |
+
"assholes",
|
1771 |
+
"ballbag",
|
1772 |
+
"चेंडू",
|
1773 |
+
"बॅस्टर्ड",
|
1774 |
+
"बेलेंड",
|
1775 |
+
"बेस्टियल",
|
1776 |
+
"प्राण्यांबरोबर",
|
1777 |
+
"कुत्री",
|
1778 |
+
"बिट्स",
|
1779 |
+
"खूनी",
|
1780 |
+
"blowjob",
|
1781 |
+
"बोलोक",
|
1782 |
+
"बोब",
|
1783 |
+
"स्तन",
|
1784 |
+
"बसीटा",
|
1785 |
+
"बम",
|
1786 |
+
"बट",
|
1787 |
+
"कार्पेट मुन्चर",
|
1788 |
+
"चिंक",
|
1789 |
+
"सिपा",
|
1790 |
+
"क्लिटोरिस",
|
1791 |
+
"मुर्ख",
|
1792 |
+
"मांसाहारी",
|
1793 |
+
"कॉक्स",
|
1794 |
+
"कॉनन",
|
1795 |
+
"बकवास",
|
1796 |
+
"सह",
|
1797 |
+
"cumshot",
|
1798 |
+
"कनिलिंगस",
|
1799 |
+
"कांट",
|
1800 |
+
"धिक्कार",
|
1801 |
+
"डिक",
|
1802 |
+
"dildo",
|
1803 |
+
"डिल्डो",
|
1804 |
+
"डंक",
|
1805 |
+
"duche",
|
1806 |
+
"डाईक",
|
1807 |
+
"उद्गार",
|
1808 |
+
"उत्साही",
|
1809 |
+
"ejaculates",
|
1810 |
+
"उत्सुकता",
|
1811 |
+
"स्खलन",
|
1812 |
+
"फॅग",
|
1813 |
+
"फॅगिंग",
|
1814 |
+
"फॅगॉट",
|
1815 |
+
"फॅगॉट्स",
|
1816 |
+
"फॅनी",
|
1817 |
+
"फेलिंग",
|
1818 |
+
"फॅलेटीओ",
|
1819 |
+
"निकला",
|
1820 |
+
"fucked",
|
1821 |
+
"गुप्तचर",
|
1822 |
+
"fuckers",
|
1823 |
+
"fucking",
|
1824 |
+
"fuckings",
|
1825 |
+
"fucks",
|
1826 |
+
"फडगे पॅकर",
|
1827 |
+
"देव-शापित",
|
1828 |
+
"देव",
|
1829 |
+
"नरक",
|
1830 |
+
"होरे",
|
1831 |
+
"शिंग",
|
1832 |
+
"झटका बंद",
|
1833 |
+
"कॉक",
|
1834 |
+
"लॅबिया",
|
1835 |
+
"वासना",
|
1836 |
+
"मासोचिस्ट",
|
1837 |
+
"हस्तमैथुन करा",
|
1838 |
+
"आई माकड",
|
1839 |
+
"नाझी",
|
1840 |
+
"निगर",
|
1841 |
+
"निगार",
|
1842 |
+
"ऑर्गॅसिम",
|
1843 |
+
"संभोग",
|
1844 |
+
"orgasms",
|
1845 |
+
"चापटी",
|
1846 |
+
"पुरुषाचे जननेंद्रिय",
|
1847 |
+
"पेशी",
|
1848 |
+
"pissed",
|
1849 |
+
"पिसर",
|
1850 |
+
"pisses",
|
1851 |
+
"पिसिंग",
|
1852 |
+
"पिसोफ",
|
1853 |
+
"घाट",
|
1854 |
+
"अश्लील",
|
1855 |
+
"पोर्नोग्राफी",
|
1856 |
+
"मुरुम",
|
1857 |
+
"प्रिक्स",
|
1858 |
+
"प्यूब",
|
1859 |
+
"pussies",
|
1860 |
+
"मांजर",
|
1861 |
+
"बलात्कार",
|
1862 |
+
"गुदाशय",
|
1863 |
+
"मंद",
|
1864 |
+
"rimming",
|
1865 |
+
"दुःखी",
|
1866 |
+
"screwing",
|
1867 |
+
"स्क्रोटम",
|
1868 |
+
"वीर्य",
|
1869 |
+
"लिंग",
|
1870 |
+
"शेग",
|
1871 |
+
"shagging",
|
1872 |
+
"शेमले",
|
1873 |
+
"विचित्र",
|
1874 |
+
"shite",
|
1875 |
+
"shits",
|
1876 |
+
"shitted",
|
1877 |
+
"shitting",
|
1878 |
+
"shitty",
|
1879 |
+
"घाणेरडा",
|
1880 |
+
"फट",
|
1881 |
+
"sluts",
|
1882 |
+
"सुगंध",
|
1883 |
+
"स्मट",
|
1884 |
+
"छेडछाड",
|
1885 |
+
"मुलगा-एक-कुत्री",
|
1886 |
+
"spac",
|
1887 |
+
"तिरस्कार",
|
1888 |
+
"परीक्षक",
|
1889 |
+
"शीर्षक",
|
1890 |
+
"टिट",
|
1891 |
+
"टर्ड",
|
1892 |
+
"योनी",
|
1893 |
+
"वियाग्रा",
|
1894 |
+
"वल्वा",
|
1895 |
+
"वांग",
|
1896 |
+
"विंक",
|
1897 |
+
"वेश्या",
|
1898 |
+
"एक्स रेट केले",
|
1899 |
+
"xxx",
|
1900 |
+
],
|
1901 |
+
"pt": english_badwords
|
1902 |
+
+ [
|
1903 |
+
"aborto",
|
1904 |
+
"amador",
|
1905 |
+
"anal",
|
1906 |
+
"aparafusar",
|
1907 |
+
"aranha",
|
1908 |
+
"ariano",
|
1909 |
+
"arrebatar",
|
1910 |
+
"ass-filho da puta",
|
1911 |
+
"asses",
|
1912 |
+
"balalao",
|
1913 |
+
"bastardo",
|
1914 |
+
"bate uma",
|
1915 |
+
"bellend",
|
1916 |
+
"bestial",
|
1917 |
+
"bestialidade",
|
1918 |
+
"bicha",
|
1919 |
+
"bichano",
|
1920 |
+
"bichanos",
|
1921 |
+
"bichas",
|
1922 |
+
"biscate",
|
1923 |
+
"bissexual",
|
1924 |
+
"boceta",
|
1925 |
+
"bolas",
|
1926 |
+
"bollok",
|
1927 |
+
"boob",
|
1928 |
+
"boquete",
|
1929 |
+
"bosta",
|
1930 |
+
"braulio de borracha",
|
1931 |
+
"buceta",
|
1932 |
+
"bumbum",
|
1933 |
+
"bunda",
|
1934 |
+
"burro",
|
1935 |
+
"cabrao",
|
1936 |
+
"cacete",
|
1937 |
+
"cadela",
|
1938 |
+
"cadelas",
|
1939 |
+
"cagando",
|
1940 |
+
"cagar",
|
1941 |
+
"calçado",
|
1942 |
+
"camisinha",
|
1943 |
+
"caralho",
|
1944 |
+
"cerveja",
|
1945 |
+
"chochota",
|
1946 |
+
"chupar",
|
1947 |
+
"cipa",
|
1948 |
+
"clitoris",
|
1949 |
+
"clitóris",
|
1950 |
+
"cobiçoso",
|
1951 |
+
"cocaína",
|
1952 |
+
"cocô",
|
1953 |
+
"coito",
|
1954 |
+
"colhoes",
|
1955 |
+
"com tesão",
|
1956 |
+
"comedor de tapetes",
|
1957 |
+
"comer",
|
1958 |
+
"cona",
|
1959 |
+
"consolo",
|
1960 |
+
"coon",
|
1961 |
+
"coragem",
|
1962 |
+
"corno",
|
1963 |
+
"cu",
|
1964 |
+
"cunillingus",
|
1965 |
+
"dar o rabo",
|
1966 |
+
"desgraçado",
|
1967 |
+
"dildo",
|
1968 |
+
"dildos",
|
1969 |
+
"dink",
|
1970 |
+
"dog-filho da puta",
|
1971 |
+
"droga",
|
1972 |
+
"duche",
|
1973 |
+
"dum raio",
|
1974 |
+
"ejacula",
|
1975 |
+
"ejaculado",
|
1976 |
+
"ejacular",
|
1977 |
+
"ejaculação",
|
1978 |
+
"empacotador de fudge",
|
1979 |
+
"escroto",
|
1980 |
+
"esporra",
|
1981 |
+
"estuprador",
|
1982 |
+
"estupro",
|
1983 |
+
"fagging",
|
1984 |
+
"fanny",
|
1985 |
+
"fecal",
|
1986 |
+
"felação",
|
1987 |
+
"felching",
|
1988 |
+
"fenda",
|
1989 |
+
"filho da puta",
|
1990 |
+
"filhos da puta",
|
1991 |
+
"foda",
|
1992 |
+
"foda-se",
|
1993 |
+
"fode",
|
1994 |
+
"foder",
|
1995 |
+
"fodido",
|
1996 |
+
"frango assado",
|
1997 |
+
"galo",
|
1998 |
+
"galos",
|
1999 |
+
"gozada",
|
2000 |
+
"gozar",
|
2001 |
+
"grelho",
|
2002 |
+
"heroína",
|
2003 |
+
"homem gay",
|
2004 |
+
"homoerótico",
|
2005 |
+
"homosexual",
|
2006 |
+
"hore",
|
2007 |
+
"idiota",
|
2008 |
+
"idiotas",
|
2009 |
+
"inferno",
|
2010 |
+
"kock",
|
2011 |
+
"lolita",
|
2012 |
+
"luxúria",
|
2013 |
+
"lábios",
|
2014 |
+
"lésbica",
|
2015 |
+
"maldito",
|
2016 |
+
"mama",
|
2017 |
+
"masoquista",
|
2018 |
+
"masturbar",
|
2019 |
+
"merda",
|
2020 |
+
"merdas",
|
2021 |
+
"mesa",
|
2022 |
+
"mijando",
|
2023 |
+
"mijar",
|
2024 |
+
"nazista",
|
2025 |
+
"negro",
|
2026 |
+
"niggers",
|
2027 |
+
"não me chateies",
|
2028 |
+
"orgasim",
|
2029 |
+
"orgasmo",
|
2030 |
+
"orgasmos",
|
2031 |
+
"otário",
|
2032 |
+
"paneleiro",
|
2033 |
+
"passar um cheque",
|
2034 |
+
"pau",
|
2035 |
+
"peidar",
|
2036 |
+
"peitos",
|
2037 |
+
"peituda",
|
2038 |
+
"pica",
|
2039 |
+
"picadas",
|
2040 |
+
"pinto",
|
2041 |
+
"pisser",
|
2042 |
+
"porcaria",
|
2043 |
+
"porno",
|
2044 |
+
"pornografia",
|
2045 |
+
"pornô",
|
2046 |
+
"porra",
|
2047 |
+
"prostituta",
|
2048 |
+
"pube",
|
2049 |
+
"punheta",
|
2050 |
+
"puta",
|
2051 |
+
"puta que pariu",
|
2052 |
+
"puta que te pariu",
|
2053 |
+
"putaria",
|
2054 |
+
"puto",
|
2055 |
+
"pênis",
|
2056 |
+
"queca",
|
2057 |
+
"retardar",
|
2058 |
+
"reto",
|
2059 |
+
"rimming",
|
2060 |
+
"sacanagem",
|
2061 |
+
"saco",
|
2062 |
+
"saco de bola",
|
2063 |
+
"sangrento",
|
2064 |
+
"sapatona",
|
2065 |
+
"sexo",
|
2066 |
+
"shite",
|
2067 |
+
"skank",
|
2068 |
+
"smegma",
|
2069 |
+
"spac",
|
2070 |
+
"sujeira",
|
2071 |
+
"sádico",
|
2072 |
+
"sêmen",
|
2073 |
+
"testículo",
|
2074 |
+
"tetas",
|
2075 |
+
"titt",
|
2076 |
+
"torneira",
|
2077 |
+
"transando",
|
2078 |
+
"transar",
|
2079 |
+
"transsexual",
|
2080 |
+
"trepada",
|
2081 |
+
"vadia",
|
2082 |
+
"vadias",
|
2083 |
+
"vagabunda",
|
2084 |
+
"vagabundo",
|
2085 |
+
"vagina",
|
2086 |
+
"vai tomar no cu",
|
2087 |
+
"vai-te foder",
|
2088 |
+
"veado",
|
2089 |
+
"viagra",
|
2090 |
+
"vibrador",
|
2091 |
+
"vulva",
|
2092 |
+
"wang",
|
2093 |
+
"x avaliado",
|
2094 |
+
"xana",
|
2095 |
+
"xixi",
|
2096 |
+
"xochota",
|
2097 |
+
"xxx",
|
2098 |
+
"ânus",
|
2099 |
+
],
|
2100 |
+
"te": english_badwords
|
2101 |
+
+ [
|
2102 |
+
"గర్భస్రావం",
|
2103 |
+
"అంగ",
|
2104 |
+
"పాయువు",
|
2105 |
+
"గాడిద",
|
2106 |
+
"గాడిద-fucker",
|
2107 |
+
"asses",
|
2108 |
+
"assholes",
|
2109 |
+
"బాల్బ్యాగ్",
|
2110 |
+
"బంతుల్లో",
|
2111 |
+
"బాస్టర్డ్",
|
2112 |
+
"బెల్లెండ్",
|
2113 |
+
"మృగ",
|
2114 |
+
"బెస్టియాలిటీ",
|
2115 |
+
"బిచ్",
|
2116 |
+
"bitches",
|
2117 |
+
"బిట్చింగ్",
|
2118 |
+
"బ్లడీ",
|
2119 |
+
"blowjob",
|
2120 |
+
"బోల్లక",
|
2121 |
+
"బూబ్",
|
2122 |
+
"వక్షోజాలను",
|
2123 |
+
"ఛాతీ",
|
2124 |
+
"buceta",
|
2125 |
+
"బం",
|
2126 |
+
"బట్",
|
2127 |
+
"కార్పెట్ ముంచర్",
|
2128 |
+
"చింక్",
|
2129 |
+
"cipa",
|
2130 |
+
"స్త్రీగుహ్యాంకురము",
|
2131 |
+
"ఆత్మవిశ్వాసం",
|
2132 |
+
"కాక్-సక్కర్",
|
2133 |
+
"కాక్స్",
|
2134 |
+
"కూన్",
|
2135 |
+
"చెత్త",
|
2136 |
+
"కం",
|
2137 |
+
"cumshot",
|
2138 |
+
"క్యునిల్లింగస్",
|
2139 |
+
"కంట్",
|
2140 |
+
"తిట్టు",
|
2141 |
+
"డిక్",
|
2142 |
+
"లైంగిక సంతృప్తి కోసం స్త్రీలు ఉపయోగించే పురుషాంగము వంటి పరికరము",
|
2143 |
+
"డిల్డోస్",
|
2144 |
+
"dink",
|
2145 |
+
"కుక్క-fucker",
|
2146 |
+
"డూష్",
|
2147 |
+
"డైక్",
|
2148 |
+
"స్ఖలించు",
|
2149 |
+
"ఎజాక్యులేటెడ్",
|
2150 |
+
"ఎజాక్యులేట్స్",
|
2151 |
+
"ఎరాక్యులేటింగ్",
|
2152 |
+
"స్ఖలనం",
|
2153 |
+
"నవుకరు",
|
2154 |
+
"ఫాగ్గింగ్",
|
2155 |
+
"ఫాగాట్",
|
2156 |
+
"ఫగాట్స్",
|
2157 |
+
"fanny",
|
2158 |
+
"ఫెల్చింగ్",
|
2159 |
+
"కుడుచుట",
|
2160 |
+
"అచ్చు",
|
2161 |
+
"ఫక్",
|
2162 |
+
"ఇబ్బంది పెట్టాడు",
|
2163 |
+
"fucker",
|
2164 |
+
"ఫకర్స్",
|
2165 |
+
"ఫకింగ్",
|
2166 |
+
"ఫకింగ్స్",
|
2167 |
+
"ఫక్స్",
|
2168 |
+
"ఫడ్జ్ ప్యాకర్",
|
2169 |
+
"దేవతలా మంచిది",
|
2170 |
+
"గాడ్డామ్",
|
2171 |
+
"నరకం",
|
2172 |
+
"హోర్",
|
2173 |
+
"horny",
|
2174 |
+
"జెర్క్-ఆఫ్",
|
2175 |
+
"కాక్",
|
2176 |
+
"పెదవి",
|
2177 |
+
"కామం",
|
2178 |
+
"మనసు పడ్డట్లు చిత్రించారు",
|
2179 |
+
"masochist",
|
2180 |
+
"హస్తప్రయోగం",
|
2181 |
+
"తల్లి ఫెకర్",
|
2182 |
+
"నాజీ",
|
2183 |
+
"నిగ్గర్",
|
2184 |
+
"నిగ్గర్స్",
|
2185 |
+
"ఆర్గాసిమ్",
|
2186 |
+
"స్కలనం",
|
2187 |
+
"orgasms",
|
2188 |
+
"pecker",
|
2189 |
+
"పురుషాంగం",
|
2190 |
+
"విసర్జన",
|
2191 |
+
"pissed",
|
2192 |
+
"పిస్సర్",
|
2193 |
+
"పిస్సీస్",
|
2194 |
+
"పిస్సింగ్",
|
2195 |
+
"పిస్సాఫ్",
|
2196 |
+
"poop",
|
2197 |
+
"శృంగార",
|
2198 |
+
"పోర్నో",
|
2199 |
+
"అశ్లీల",
|
2200 |
+
"బుడతడు",
|
2201 |
+
"ప్రిక్స్",
|
2202 |
+
"ప్యూబ్",
|
2203 |
+
"pussies",
|
2204 |
+
"పుస్సీ",
|
2205 |
+
"రేప్",
|
2206 |
+
"ఉన్నప్పటికీ బలాత్కారం",
|
2207 |
+
"పురీషనాళం",
|
2208 |
+
"రిటార్డ్",
|
2209 |
+
"రిమ్మింగ్",
|
2210 |
+
"పీడన కాముకత",
|
2211 |
+
"screwing",
|
2212 |
+
"స్క్రోటమ్",
|
2213 |
+
"వీర్యం",
|
2214 |
+
"సెక్స్",
|
2215 |
+
"బొచ్చు",
|
2216 |
+
"షగ్గింగ్",
|
2217 |
+
"షీమేల్",
|
2218 |
+
"ఒంటి",
|
2219 |
+
"షైట్",
|
2220 |
+
"షిట్స్",
|
2221 |
+
"షిట్టెడ్",
|
2222 |
+
"షిట్టింగ్",
|
2223 |
+
"shitty",
|
2224 |
+
"స్కాన్క్",
|
2225 |
+
"నీతి",
|
2226 |
+
"స్లట్స్",
|
2227 |
+
"శిశ్న",
|
2228 |
+
"స్మట్",
|
2229 |
+
"స్నాచ్",
|
2230 |
+
"ఒక బిచ్ కుమారుడు ఆఫ్",
|
2231 |
+
"spac",
|
2232 |
+
"స్పంక్",
|
2233 |
+
"వృషణాలు",
|
2234 |
+
"తునక",
|
2235 |
+
"టిట్స్",
|
2236 |
+
"టిట్",
|
2237 |
+
"turd",
|
2238 |
+
"యోని",
|
2239 |
+
"వయాగ్రా",
|
2240 |
+
"జననాంగం",
|
2241 |
+
"వాంగ్",
|
2242 |
+
"వ్యాంక్",
|
2243 |
+
"వేశ్య",
|
2244 |
+
"x రేట్",
|
2245 |
+
"xxx",
|
2246 |
+
],
|
2247 |
+
"vi": english_badwords
|
2248 |
+
+ [
|
2249 |
+
"sự phá thai",
|
2250 |
+
"hậu môn",
|
2251 |
+
"mông",
|
2252 |
+
"đồ ngu",
|
2253 |
+
"lừa",
|
2254 |
+
"lỗ đít",
|
2255 |
+
"túi bóng",
|
2256 |
+
"những quả bóng",
|
2257 |
+
"đồ khốn",
|
2258 |
+
"tuyệt vời",
|
2259 |
+
"mục sư",
|
2260 |
+
"lòng tốt",
|
2261 |
+
"chó cái",
|
2262 |
+
"dính máu",
|
2263 |
+
"công việc thổi",
|
2264 |
+
"bollok",
|
2265 |
+
"boob",
|
2266 |
+
"ngực",
|
2267 |
+
"buceta",
|
2268 |
+
"ăn mày",
|
2269 |
+
"thảm muncher",
|
2270 |
+
"sứt mẻ",
|
2271 |
+
"cipa",
|
2272 |
+
"âm vật",
|
2273 |
+
"gà",
|
2274 |
+
"gà hút",
|
2275 |
+
"gà trống",
|
2276 |
+
"coon",
|
2277 |
+
"tào lao",
|
2278 |
+
"kiêm",
|
2279 |
+
"cum",
|
2280 |
+
"cunillingus",
|
2281 |
+
"lồn",
|
2282 |
+
"chỉ trích",
|
2283 |
+
"tinh ranh",
|
2284 |
+
"dương vật giả",
|
2285 |
+
"dink",
|
2286 |
+
"chó-chó",
|
2287 |
+
"duche",
|
2288 |
+
"đê",
|
2289 |
+
"xuất tinh",
|
2290 |
+
"fag",
|
2291 |
+
"đóng băng",
|
2292 |
+
"fagot",
|
2293 |
+
"đồ ăn vặt",
|
2294 |
+
"người hâm mộ",
|
2295 |
+
"nỉ",
|
2296 |
+
"thất bại",
|
2297 |
+
"mặt bích",
|
2298 |
+
"chết tiệt",
|
2299 |
+
"quái",
|
2300 |
+
"đụ",
|
2301 |
+
"ôm",
|
2302 |
+
"đóng gói fudge",
|
2303 |
+
"địa ngục",
|
2304 |
+
"có",
|
2305 |
+
"sừng",
|
2306 |
+
"giật",
|
2307 |
+
"kock",
|
2308 |
+
"môi âm",
|
2309 |
+
"ham muốn",
|
2310 |
+
"khổ dâm",
|
2311 |
+
"thủ dâm",
|
2312 |
+
"mẹ kiếp",
|
2313 |
+
"nazi",
|
2314 |
+
"người da đen",
|
2315 |
+
"người mách nước",
|
2316 |
+
"cực khoái",
|
2317 |
+
"người mổ",
|
2318 |
+
"dương vật",
|
2319 |
+
"đi tiểu",
|
2320 |
+
"bực mình",
|
2321 |
+
"đái",
|
2322 |
+
"phân",
|
2323 |
+
"khiêu dâm",
|
2324 |
+
"nội dung khiêu dâm",
|
2325 |
+
"châm",
|
2326 |
+
"chích",
|
2327 |
+
"pube",
|
2328 |
+
"pussies",
|
2329 |
+
"âm hộ",
|
2330 |
+
"hiếp dâm",
|
2331 |
+
"trực tràng",
|
2332 |
+
"chậm phát triển",
|
2333 |
+
"xé",
|
2334 |
+
"người tàn bạo",
|
2335 |
+
"vặn vít",
|
2336 |
+
"bìu",
|
2337 |
+
"tinh dịch",
|
2338 |
+
"tình dục",
|
2339 |
+
"lông",
|
2340 |
+
"xáo trộn",
|
2341 |
+
"đồng tính",
|
2342 |
+
"cứt",
|
2343 |
+
"shite",
|
2344 |
+
"ván trượt",
|
2345 |
+
"đĩ",
|
2346 |
+
"quần lót",
|
2347 |
+
"smegma",
|
2348 |
+
"xì trum",
|
2349 |
+
"con trai",
|
2350 |
+
"spac",
|
2351 |
+
"spunk",
|
2352 |
+
"tinh hoàn",
|
2353 |
+
"ăn miếng trả miếng",
|
2354 |
+
"titt",
|
2355 |
+
"cỏ",
|
2356 |
+
"âm đạo",
|
2357 |
+
"viagra",
|
2358 |
+
"âm môn",
|
2359 |
+
"wang",
|
2360 |
+
"đã ngủ",
|
2361 |
+
"con điếm",
|
2362 |
+
"x đánh giá",
|
2363 |
+
"xxx",
|
2364 |
+
],
|
2365 |
+
"zh": english_badwords
|
2366 |
+
+ [
|
2367 |
+
"13.",
|
2368 |
+
"13点",
|
2369 |
+
"㞗",
|
2370 |
+
"三级片",
|
2371 |
+
"下三烂",
|
2372 |
+
"下贱",
|
2373 |
+
"个老子的",
|
2374 |
+
"九游",
|
2375 |
+
"乳",
|
2376 |
+
"乳交",
|
2377 |
+
"乳头",
|
2378 |
+
"乳房",
|
2379 |
+
"乳波臀浪",
|
2380 |
+
"交配",
|
2381 |
+
"仆街",
|
2382 |
+
"仆街",
|
2383 |
+
"他奶奶",
|
2384 |
+
"他奶奶的",
|
2385 |
+
"他奶娘的",
|
2386 |
+
"他妈",
|
2387 |
+
"他妈ㄉ王八蛋",
|
2388 |
+
"他妈地",
|
2389 |
+
"他妈的",
|
2390 |
+
"他娘",
|
2391 |
+
"他马的",
|
2392 |
+
"你个傻比",
|
2393 |
+
"你他马的",
|
2394 |
+
"你全家",
|
2395 |
+
"你奶奶的",
|
2396 |
+
"你她马的",
|
2397 |
+
"你妈",
|
2398 |
+
"你妈的",
|
2399 |
+
"你娘",
|
2400 |
+
"你娘卡好",
|
2401 |
+
"你娘咧",
|
2402 |
+
"你它妈的",
|
2403 |
+
"你它马的",
|
2404 |
+
"你是鸡",
|
2405 |
+
"你是鸭",
|
2406 |
+
"你老味",
|
2407 |
+
"你老母",
|
2408 |
+
"你老闆",
|
2409 |
+
"你马的",
|
2410 |
+
"做爱",
|
2411 |
+
"傻比",
|
2412 |
+
"傻逼",
|
2413 |
+
"册那",
|
2414 |
+
"冚家拎",
|
2415 |
+
"冚家鏟",
|
2416 |
+
"军妓",
|
2417 |
+
"几八",
|
2418 |
+
"几叭",
|
2419 |
+
"几巴",
|
2420 |
+
"几芭",
|
2421 |
+
"刚度",
|
2422 |
+
"刚瘪三",
|
2423 |
+
"包皮",
|
2424 |
+
"十三点",
|
2425 |
+
"卖B",
|
2426 |
+
"卖比",
|
2427 |
+
"卖淫",
|
2428 |
+
"卵",
|
2429 |
+
"卵子",
|
2430 |
+
"双峰微颤",
|
2431 |
+
"口交",
|
2432 |
+
"口肯",
|
2433 |
+
"叫床",
|
2434 |
+
"吃屎",
|
2435 |
+
"后庭",
|
2436 |
+
"吹箫",
|
2437 |
+
"咸家伶",
|
2438 |
+
"咸家鏟",
|
2439 |
+
"塞你公",
|
2440 |
+
"塞你娘",
|
2441 |
+
"塞你母",
|
2442 |
+
"塞你爸",
|
2443 |
+
"塞你老师",
|
2444 |
+
"塞你老母",
|
2445 |
+
"处女",
|
2446 |
+
"外阴",
|
2447 |
+
"大卵子",
|
2448 |
+
"大卵泡",
|
2449 |
+
"大鸡巴",
|
2450 |
+
"奶",
|
2451 |
+
"奶奶的熊",
|
2452 |
+
"奶子",
|
2453 |
+
"奸",
|
2454 |
+
"奸你",
|
2455 |
+
"她妈地",
|
2456 |
+
"她妈的",
|
2457 |
+
"她马的",
|
2458 |
+
"妈B",
|
2459 |
+
"妈个B",
|
2460 |
+
"妈个比",
|
2461 |
+
"妈个老比",
|
2462 |
+
"妈妈的",
|
2463 |
+
"妈比",
|
2464 |
+
"妈的",
|
2465 |
+
"妈的B",
|
2466 |
+
"妈逼",
|
2467 |
+
"妓",
|
2468 |
+
"妓女",
|
2469 |
+
"妓院",
|
2470 |
+
"妳她妈的",
|
2471 |
+
"妳妈的",
|
2472 |
+
"妳娘的",
|
2473 |
+
"妳老母的",
|
2474 |
+
"妳马的",
|
2475 |
+
"姘头",
|
2476 |
+
"姣西",
|
2477 |
+
"姦",
|
2478 |
+
"娘个比",
|
2479 |
+
"娘的",
|
2480 |
+
"���子",
|
2481 |
+
"婊子养的",
|
2482 |
+
"嫖娼",
|
2483 |
+
"嫖客",
|
2484 |
+
"它妈地",
|
2485 |
+
"它妈的",
|
2486 |
+
"密洞",
|
2487 |
+
"射你",
|
2488 |
+
"射精",
|
2489 |
+
"小乳头",
|
2490 |
+
"小卵子",
|
2491 |
+
"小卵泡",
|
2492 |
+
"小瘪三",
|
2493 |
+
"小肉粒",
|
2494 |
+
"小骚比",
|
2495 |
+
"小骚货",
|
2496 |
+
"小鸡巴",
|
2497 |
+
"小鸡鸡",
|
2498 |
+
"尻",
|
2499 |
+
"屁眼",
|
2500 |
+
"屁股",
|
2501 |
+
"屄",
|
2502 |
+
"屌",
|
2503 |
+
"屎忽",
|
2504 |
+
"巨乳",
|
2505 |
+
"干x娘",
|
2506 |
+
"干七八",
|
2507 |
+
"干你",
|
2508 |
+
"干你妈",
|
2509 |
+
"干你娘",
|
2510 |
+
"干你老母",
|
2511 |
+
"干你良",
|
2512 |
+
"干妳妈",
|
2513 |
+
"干妳娘",
|
2514 |
+
"干妳老母",
|
2515 |
+
"干妳马",
|
2516 |
+
"干您娘",
|
2517 |
+
"干机掰",
|
2518 |
+
"干死CS",
|
2519 |
+
"干死GM",
|
2520 |
+
"干死你",
|
2521 |
+
"干死客服",
|
2522 |
+
"幹",
|
2523 |
+
"强奸",
|
2524 |
+
"强奸你",
|
2525 |
+
"性",
|
2526 |
+
"性交",
|
2527 |
+
"性器",
|
2528 |
+
"性无能",
|
2529 |
+
"性爱",
|
2530 |
+
"情色",
|
2531 |
+
"想上你",
|
2532 |
+
"懆您妈",
|
2533 |
+
"懆您娘",
|
2534 |
+
"懒8",
|
2535 |
+
"懒八",
|
2536 |
+
"懒叫",
|
2537 |
+
"懒教",
|
2538 |
+
"成人",
|
2539 |
+
"我操你祖宗十八代",
|
2540 |
+
"扒光",
|
2541 |
+
"打炮",
|
2542 |
+
"打飞机",
|
2543 |
+
"抽插",
|
2544 |
+
"招妓",
|
2545 |
+
"插你",
|
2546 |
+
"插死你",
|
2547 |
+
"撒尿",
|
2548 |
+
"撚",
|
2549 |
+
"操你",
|
2550 |
+
"操你全家",
|
2551 |
+
"操你奶奶",
|
2552 |
+
"操你妈",
|
2553 |
+
"操你娘",
|
2554 |
+
"操你祖宗",
|
2555 |
+
"操你老妈",
|
2556 |
+
"操你老母",
|
2557 |
+
"操妳",
|
2558 |
+
"操妳全家",
|
2559 |
+
"操妳妈",
|
2560 |
+
"操妳娘",
|
2561 |
+
"操妳祖宗",
|
2562 |
+
"操机掰",
|
2563 |
+
"操比",
|
2564 |
+
"操逼",
|
2565 |
+
"放荡",
|
2566 |
+
"日他娘",
|
2567 |
+
"日你",
|
2568 |
+
"日你妈",
|
2569 |
+
"日你老娘",
|
2570 |
+
"日你老母",
|
2571 |
+
"日批",
|
2572 |
+
"月经",
|
2573 |
+
"机八",
|
2574 |
+
"机巴",
|
2575 |
+
"机机歪歪",
|
2576 |
+
"杂种",
|
2577 |
+
"柒",
|
2578 |
+
"浪叫",
|
2579 |
+
"淫",
|
2580 |
+
"淫乱",
|
2581 |
+
"淫妇",
|
2582 |
+
"淫棍",
|
2583 |
+
"淫水",
|
2584 |
+
"淫秽",
|
2585 |
+
"淫荡",
|
2586 |
+
"淫西",
|
2587 |
+
"湿透的内裤",
|
2588 |
+
"激情",
|
2589 |
+
"灨你娘",
|
2590 |
+
"烂货",
|
2591 |
+
"烂逼",
|
2592 |
+
"爛",
|
2593 |
+
"狗屁",
|
2594 |
+
"狗日",
|
2595 |
+
"狗狼养的",
|
2596 |
+
"玉杵",
|
2597 |
+
"王八蛋",
|
2598 |
+
"瓜娃子",
|
2599 |
+
"瓜婆娘",
|
2600 |
+
"瓜批",
|
2601 |
+
"瘪三",
|
2602 |
+
"白烂",
|
2603 |
+
"白痴",
|
2604 |
+
"白癡",
|
2605 |
+
"硬膠",
|
2606 |
+
"祖宗",
|
2607 |
+
"私服",
|
2608 |
+
"笨實",
|
2609 |
+
"笨蛋",
|
2610 |
+
"粉腸",
|
2611 |
+
"精子",
|
2612 |
+
"老二",
|
2613 |
+
"老味",
|
2614 |
+
"老母",
|
2615 |
+
"老瘪三",
|
2616 |
+
"老骚比",
|
2617 |
+
"老骚货",
|
2618 |
+
"肉壁",
|
2619 |
+
"肉棍子",
|
2620 |
+
"肉棒",
|
2621 |
+
"肉缝",
|
2622 |
+
"肏",
|
2623 |
+
"肛交",
|
2624 |
+
"肥西",
|
2625 |
+
"色情",
|
2626 |
+
"花柳",
|
2627 |
+
"荡妇",
|
2628 |
+
"賤",
|
2629 |
+
"贝肉",
|
2630 |
+
"贱B",
|
2631 |
+
"贱人",
|
2632 |
+
"贱货",
|
2633 |
+
"贼你妈",
|
2634 |
+
"赛你老母",
|
2635 |
+
"赛妳阿母",
|
2636 |
+
"赣您娘",
|
2637 |
+
"躝癱",
|
2638 |
+
"轮奸",
|
2639 |
+
"迷药",
|
2640 |
+
"逼",
|
2641 |
+
"逼样",
|
2642 |
+
"野鸡",
|
2643 |
+
"閪",
|
2644 |
+
"阳具",
|
2645 |
+
"阳萎",
|
2646 |
+
"阴唇",
|
2647 |
+
"阴户",
|
2648 |
+
"阴核",
|
2649 |
+
"阴毛",
|
2650 |
+
"阴茎",
|
2651 |
+
"阴道",
|
2652 |
+
"阴部",
|
2653 |
+
"陰莖",
|
2654 |
+
"雞巴",
|
2655 |
+
"靠北",
|
2656 |
+
"靠母",
|
2657 |
+
"靠爸",
|
2658 |
+
"靠背",
|
2659 |
+
"靠腰",
|
2660 |
+
"驶你公",
|
2661 |
+
"驶你娘",
|
2662 |
+
"驶你母",
|
2663 |
+
"驶你爸",
|
2664 |
+
"驶你老师",
|
2665 |
+
"驶你老母",
|
2666 |
+
"骚比",
|
2667 |
+
"骚货",
|
2668 |
+
"骚逼",
|
2669 |
+
"鬼公",
|
2670 |
+
"鳩",
|
2671 |
+
"鸡8",
|
2672 |
+
"鸡八",
|
2673 |
+
"鸡叭",
|
2674 |
+
"鸡吧",
|
2675 |
+
"鸡奸",
|
2676 |
+
"鸡巴",
|
2677 |
+
"鸡芭",
|
2678 |
+
"鸡鸡",
|
2679 |
+
"龟儿子",
|
2680 |
+
"龟头",
|
2681 |
+
],
|
2682 |
+
}
|
en.arpa.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e90c9b25af01dcaa2667ed45d012d891269760fc6eccfe8dbbd161eb20e01d7d
|
3 |
+
size 4403509656
|
en.sp.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:262c0b0bd4ebc592e439453bc7e006d0ed12d1914e206a1fb8c7fba091f52c4d
|
3 |
+
size 1389058
|
filtering.py
ADDED
@@ -0,0 +1,879 @@
|
|
|
|
|
|
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|
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|
1 |
+
import re
|
2 |
+
|
3 |
+
import numpy as np
|
4 |
+
|
5 |
+
import fasttext
|
6 |
+
|
7 |
+
import sentencepiece
|
8 |
+
import kenlm
|
9 |
+
|
10 |
+
import pathlib
|
11 |
+
|
12 |
+
from languages_id import langs_id
|
13 |
+
from parameters_filtering import parameters_filtering
|
14 |
+
from normalization import normalization
|
15 |
+
from stopwords import stopwords
|
16 |
+
from badwords import badwords
|
17 |
+
|
18 |
+
|
19 |
+
class LoadParameters:
|
20 |
+
@staticmethod
|
21 |
+
def load_parameters(lang_dataset_id):
|
22 |
+
if lang_dataset_id in parameters_filtering:
|
23 |
+
param = parameters_filtering[lang_dataset_id]
|
24 |
+
else:
|
25 |
+
param = parameters_filtering["default"]
|
26 |
+
return param
|
27 |
+
|
28 |
+
@staticmethod
|
29 |
+
def load_stopwords(lang_dataset_id):
|
30 |
+
stopwords_lang_id = langs_id.loc[
|
31 |
+
langs_id["dataset_id"] == lang_dataset_id, "stopwords_id"
|
32 |
+
].iloc[0]
|
33 |
+
if stopwords_lang_id:
|
34 |
+
stopwords_lang = set(stopwords[stopwords_lang_id])
|
35 |
+
else:
|
36 |
+
stopwords_lang = None
|
37 |
+
return stopwords_lang
|
38 |
+
|
39 |
+
@staticmethod
|
40 |
+
def load_badwords(lang_dataset_id):
|
41 |
+
badwords_lang_id = langs_id.loc[
|
42 |
+
langs_id["dataset_id"] == lang_dataset_id, "badwords_id"
|
43 |
+
].iloc[0]
|
44 |
+
if badwords_lang_id:
|
45 |
+
badwords_lang = set(badwords[badwords_lang_id])
|
46 |
+
else:
|
47 |
+
badwords_lang = None
|
48 |
+
return badwords_lang
|
49 |
+
|
50 |
+
@staticmethod
|
51 |
+
def load_model_lang_id(lang_dataset_id, path_fasttext_model):
|
52 |
+
fasttext_lang_id = langs_id.loc[
|
53 |
+
langs_id["dataset_id"] == lang_dataset_id, "fasttext_id"
|
54 |
+
].iloc[0]
|
55 |
+
if fasttext_lang_id:
|
56 |
+
model_lang_id = fasttext.load_model(path_fasttext_model)
|
57 |
+
else:
|
58 |
+
model_lang_id = None
|
59 |
+
return model_lang_id
|
60 |
+
|
61 |
+
@staticmethod
|
62 |
+
def load_sentencepiece_model(lang_dataset_id, path_sentencepiece_model):
|
63 |
+
sentencepiece_lang_id = langs_id.loc[
|
64 |
+
langs_id["dataset_id"] == lang_dataset_id, "sentencepiece_id"
|
65 |
+
].iloc[0]
|
66 |
+
if sentencepiece_lang_id:
|
67 |
+
sentencepiece_model = sentencepiece.SentencePieceProcessor()
|
68 |
+
sentencepiece_model.load(path_sentencepiece_model)
|
69 |
+
else:
|
70 |
+
sentencepiece_model = None
|
71 |
+
return sentencepiece_model
|
72 |
+
|
73 |
+
@staticmethod
|
74 |
+
def load_kenlm_model(lang_dataset_id, path_kenlm_model):
|
75 |
+
kenlm_lang_id = langs_id.loc[
|
76 |
+
langs_id["dataset_id"] == lang_dataset_id, "kenlm_id"
|
77 |
+
].iloc[0]
|
78 |
+
if kenlm_lang_id:
|
79 |
+
kenlm_model = kenlm.Model(path_kenlm_model)
|
80 |
+
else:
|
81 |
+
kenlm_model = None
|
82 |
+
return kenlm_model
|
83 |
+
|
84 |
+
|
85 |
+
class ModifyingDocuments:
|
86 |
+
@staticmethod
|
87 |
+
def remove_empty_el_from_list(list_):
|
88 |
+
return [el for el in list_ if el]
|
89 |
+
|
90 |
+
@staticmethod
|
91 |
+
def remove_non_printing_characters(document, non_printing_characters_re):
|
92 |
+
return non_printing_characters_re.sub("", document)
|
93 |
+
|
94 |
+
@staticmethod
|
95 |
+
def uniform_whitespace(
|
96 |
+
document,
|
97 |
+
whitespace=[
|
98 |
+
" ",
|
99 |
+
" ",
|
100 |
+
" ",
|
101 |
+
" ",
|
102 |
+
" ",
|
103 |
+
" ",
|
104 |
+
" ",
|
105 |
+
" ",
|
106 |
+
" ",
|
107 |
+
" ",
|
108 |
+
"",
|
109 |
+
"",
|
110 |
+
],
|
111 |
+
):
|
112 |
+
"""There are different whitespace characters."""
|
113 |
+
whitespace = set(whitespace)
|
114 |
+
document = "".join(
|
115 |
+
[char if char not in whitespace else " " for char in document]
|
116 |
+
)
|
117 |
+
return document
|
118 |
+
|
119 |
+
@staticmethod
|
120 |
+
def replace_digits_with_zeros(document, digits_re):
|
121 |
+
return digits_re.sub("0", document)
|
122 |
+
|
123 |
+
@staticmethod
|
124 |
+
def replace_unicode_punctuation(document, unicode_punctuation):
|
125 |
+
return "".join(unicode_punctuation.get(c, c) for c in document)
|
126 |
+
|
127 |
+
@staticmethod
|
128 |
+
def normalization(
|
129 |
+
document,
|
130 |
+
remove_non_printing_characters,
|
131 |
+
strip,
|
132 |
+
lower_case,
|
133 |
+
uniform_whitespace,
|
134 |
+
replace_digits_with_zeros,
|
135 |
+
replace_unicode_punctuation,
|
136 |
+
non_printing_characters_re=normalization["non_printing_characters_re"],
|
137 |
+
digits_re=normalization["digits_re"],
|
138 |
+
unicode_punctuation=normalization["unicode_punctuation"],
|
139 |
+
):
|
140 |
+
if remove_non_printing_characters:
|
141 |
+
document = ModifyingDocuments.remove_non_printing_characters(
|
142 |
+
document, non_printing_characters_re
|
143 |
+
)
|
144 |
+
if strip:
|
145 |
+
document = document.strip()
|
146 |
+
if not document:
|
147 |
+
return document
|
148 |
+
if lower_case:
|
149 |
+
document = document.lower()
|
150 |
+
if uniform_whitespace:
|
151 |
+
document = ModifyingDocuments.uniform_whitespace(document)
|
152 |
+
if replace_digits_with_zeros:
|
153 |
+
document = ModifyingDocuments.replace_digits_with_zeros(document, digits_re)
|
154 |
+
if replace_unicode_punctuation:
|
155 |
+
document = ModifyingDocuments.replace_unicode_punctuation(
|
156 |
+
document, unicode_punctuation
|
157 |
+
)
|
158 |
+
return document
|
159 |
+
|
160 |
+
@staticmethod
|
161 |
+
def tokenization(document, sentencepiece_model, join_on_whitespace):
|
162 |
+
document_tokenized = sentencepiece_model.encode_as_pieces(document)
|
163 |
+
if join_on_whitespace:
|
164 |
+
document_tokenized = " ".join(document_tokenized)
|
165 |
+
return document_tokenized
|
166 |
+
|
167 |
+
@staticmethod
|
168 |
+
def split_on_whitespace(
|
169 |
+
document,
|
170 |
+
new_line=False,
|
171 |
+
tab=False,
|
172 |
+
):
|
173 |
+
"""This method also removes concatenated spaces."""
|
174 |
+
sep = [" "] + new_line * ["\n"] + tab * ["\t"]
|
175 |
+
sep = "|".join(sep)
|
176 |
+
split_document = re.split(sep, document)
|
177 |
+
split_document = ModifyingDocuments.remove_empty_el_from_list(split_document)
|
178 |
+
return split_document
|
179 |
+
|
180 |
+
@staticmethod
|
181 |
+
def strip(document, strip_characters):
|
182 |
+
"""Way faster than document.strip(strip_characters)
|
183 |
+
since strip_characters is now a set instead of a str,
|
184 |
+
and it contains a lot of elements (all the emojis)."""
|
185 |
+
if not document:
|
186 |
+
return document
|
187 |
+
beg_ind = 0
|
188 |
+
end_ind = len(document)
|
189 |
+
for i in range(len(document)):
|
190 |
+
if document[i] in strip_characters:
|
191 |
+
beg_ind += 1
|
192 |
+
else:
|
193 |
+
break
|
194 |
+
for i in range(1, len(document) + 1):
|
195 |
+
if document[-i] in strip_characters:
|
196 |
+
end_ind -= 1
|
197 |
+
else:
|
198 |
+
break
|
199 |
+
document_stripped = document[beg_ind:end_ind]
|
200 |
+
return document_stripped
|
201 |
+
|
202 |
+
@staticmethod
|
203 |
+
def get_words_from_document(
|
204 |
+
document, sentencepiece_model_tok, lower_case, strip_characters
|
205 |
+
):
|
206 |
+
"""Get words from a document. Non reversible since the document
|
207 |
+
is split on multiple characters, words are stripped of
|
208 |
+
special characters and characters are converted to lower case.
|
209 |
+
Useful to compute ratios, like the stopwords ratio."""
|
210 |
+
if sentencepiece_model_tok:
|
211 |
+
document_normalized = ModifyingDocuments.normalization(
|
212 |
+
document=document,
|
213 |
+
remove_non_printing_characters=True,
|
214 |
+
strip=True,
|
215 |
+
lower_case=True,
|
216 |
+
uniform_whitespace=True,
|
217 |
+
replace_digits_with_zeros=True,
|
218 |
+
replace_unicode_punctuation=True,
|
219 |
+
)
|
220 |
+
words = ModifyingDocuments.tokenization(
|
221 |
+
document_normalized, sentencepiece_model_tok, join_on_whitespace=False
|
222 |
+
)
|
223 |
+
else:
|
224 |
+
words = ModifyingDocuments.split_on_whitespace(
|
225 |
+
document, new_line=True, tab=True
|
226 |
+
)
|
227 |
+
if lower_case:
|
228 |
+
words = [word.lower() for word in words]
|
229 |
+
if strip_characters:
|
230 |
+
words = [ModifyingDocuments.strip(word, strip_characters) for word in words]
|
231 |
+
words = ModifyingDocuments.remove_empty_el_from_list(words)
|
232 |
+
return words
|
233 |
+
|
234 |
+
@staticmethod
|
235 |
+
def words_augmentation(words, group_size, join_char):
|
236 |
+
"""Augment words, especially for Chinese (without a space between words)
|
237 |
+
and Vietnamese (with a space between syllables)."""
|
238 |
+
augmentation = [
|
239 |
+
join_char.join(words[i : i + group_size])
|
240 |
+
for i in range(len(words) - group_size + 1)
|
241 |
+
]
|
242 |
+
return augmentation
|
243 |
+
|
244 |
+
@staticmethod
|
245 |
+
def split_on_newline_tab_whitespace(document):
|
246 |
+
"""First split on "\n", then on "\t", then on " "."""
|
247 |
+
sentences = document.split("\n")
|
248 |
+
sentences = [sentence.split("\t") for sentence in sentences]
|
249 |
+
sentences = [
|
250 |
+
[
|
251 |
+
ModifyingDocuments.split_on_whitespace(subsentence)
|
252 |
+
for subsentence in sentence
|
253 |
+
]
|
254 |
+
for sentence in sentences
|
255 |
+
]
|
256 |
+
return sentences
|
257 |
+
|
258 |
+
@staticmethod
|
259 |
+
def merge_on_whitespace_tab_newline(sentences):
|
260 |
+
"""Invert the method split_on_newline_tab_whitespace.
|
261 |
+
Removes concatenated separators."""
|
262 |
+
sentences = [
|
263 |
+
[" ".join(subsentence) for subsentence in sentence if subsentence]
|
264 |
+
for sentence in sentences
|
265 |
+
]
|
266 |
+
sentences = ["\t".join(sentence) for sentence in sentences if sentence]
|
267 |
+
if not sentences:
|
268 |
+
return ""
|
269 |
+
document = "\n".join(sentences)
|
270 |
+
return document
|
271 |
+
|
272 |
+
@staticmethod
|
273 |
+
def should_keep_word_with_incorrect_substrings(
|
274 |
+
word, strip_characters, incorrect_word_substrings
|
275 |
+
):
|
276 |
+
word = ModifyingDocuments.strip(word, strip_characters)
|
277 |
+
should_keep = all(
|
278 |
+
[(i_substr not in word) for i_substr in incorrect_word_substrings]
|
279 |
+
)
|
280 |
+
return should_keep
|
281 |
+
|
282 |
+
@staticmethod
|
283 |
+
def remove_words_with_incorrect_substrings(
|
284 |
+
document,
|
285 |
+
strip_characters,
|
286 |
+
incorrect_word_substrings,
|
287 |
+
):
|
288 |
+
sentences = ModifyingDocuments.split_on_newline_tab_whitespace(document)
|
289 |
+
sentences = [
|
290 |
+
[
|
291 |
+
[
|
292 |
+
word
|
293 |
+
for word in subsentence
|
294 |
+
if ModifyingDocuments.should_keep_word_with_incorrect_substrings(
|
295 |
+
word, strip_characters, incorrect_word_substrings
|
296 |
+
)
|
297 |
+
]
|
298 |
+
for subsentence in sentence
|
299 |
+
]
|
300 |
+
for sentence in sentences
|
301 |
+
]
|
302 |
+
document = ModifyingDocuments.merge_on_whitespace_tab_newline(sentences)
|
303 |
+
return document
|
304 |
+
|
305 |
+
@staticmethod
|
306 |
+
def should_keep_long_word(word, strip_characters, length_word_max_cutoff):
|
307 |
+
"""If the word is too long but it contains only one
|
308 |
+
special character, it might be a concatenation of one word,
|
309 |
+
a punctuation, and another word, with no space between them.
|
310 |
+
In this case, we give the word a pass."""
|
311 |
+
if len(word) <= length_word_max_cutoff:
|
312 |
+
return True
|
313 |
+
word = ModifyingDocuments.strip(word, strip_characters)
|
314 |
+
if not word: # The word consisted only of strip characters
|
315 |
+
return False
|
316 |
+
if len(word) <= length_word_max_cutoff:
|
317 |
+
return True
|
318 |
+
return False
|
319 |
+
|
320 |
+
def remove_long_words(
|
321 |
+
document,
|
322 |
+
strip_characters,
|
323 |
+
length_word_max_cutoff,
|
324 |
+
):
|
325 |
+
sentences = ModifyingDocuments.split_on_newline_tab_whitespace(document)
|
326 |
+
sentences = [
|
327 |
+
[
|
328 |
+
[
|
329 |
+
word
|
330 |
+
for word in subsentence
|
331 |
+
if ModifyingDocuments.should_keep_long_word(
|
332 |
+
word,
|
333 |
+
strip_characters,
|
334 |
+
length_word_max_cutoff,
|
335 |
+
)
|
336 |
+
]
|
337 |
+
for subsentence in sentence
|
338 |
+
]
|
339 |
+
for sentence in sentences
|
340 |
+
]
|
341 |
+
document = ModifyingDocuments.merge_on_whitespace_tab_newline(sentences)
|
342 |
+
return document
|
343 |
+
|
344 |
+
@staticmethod
|
345 |
+
def modifying_documents(
|
346 |
+
document,
|
347 |
+
cond_uniform_whitespace,
|
348 |
+
cond_replace_unicode_punctuation,
|
349 |
+
cond_remove_words_with_incorrect_substrings,
|
350 |
+
strip_characters,
|
351 |
+
incorrect_word_substrings,
|
352 |
+
cond_remove_long_words,
|
353 |
+
length_word_max_cutoff,
|
354 |
+
):
|
355 |
+
document = ModifyingDocuments.normalization(
|
356 |
+
document=document,
|
357 |
+
remove_non_printing_characters=False,
|
358 |
+
strip=True,
|
359 |
+
lower_case=False,
|
360 |
+
uniform_whitespace=cond_uniform_whitespace,
|
361 |
+
replace_digits_with_zeros=False,
|
362 |
+
replace_unicode_punctuation=cond_replace_unicode_punctuation,
|
363 |
+
)
|
364 |
+
if cond_remove_words_with_incorrect_substrings:
|
365 |
+
document = ModifyingDocuments.remove_words_with_incorrect_substrings(
|
366 |
+
document,
|
367 |
+
strip_characters,
|
368 |
+
incorrect_word_substrings,
|
369 |
+
)
|
370 |
+
if cond_remove_long_words:
|
371 |
+
document = ModifyingDocuments.remove_long_words(
|
372 |
+
document,
|
373 |
+
strip_characters,
|
374 |
+
length_word_max_cutoff,
|
375 |
+
)
|
376 |
+
return document
|
377 |
+
|
378 |
+
|
379 |
+
class FunctionDatasetModifyingDocuments:
|
380 |
+
def __init__(self, lang_dataset_id):
|
381 |
+
self.lang_dataset_id = lang_dataset_id
|
382 |
+
self.param = LoadParameters.load_parameters(lang_dataset_id)
|
383 |
+
|
384 |
+
def __call__(self, example):
|
385 |
+
example["text"] = ModifyingDocuments.modifying_documents(
|
386 |
+
document=example["text"],
|
387 |
+
cond_uniform_whitespace=self.param["cond_uniform_whitespace"],
|
388 |
+
cond_replace_unicode_punctuation=self.param[
|
389 |
+
"cond_replace_unicode_punctuation"
|
390 |
+
],
|
391 |
+
cond_remove_words_with_incorrect_substrings=self.param[
|
392 |
+
"cond_remove_words_with_incorrect_substrings"
|
393 |
+
],
|
394 |
+
strip_characters=self.param["strip_characters"],
|
395 |
+
incorrect_word_substrings=self.param["incorrect_word_substrings"],
|
396 |
+
cond_remove_long_words=self.param["cond_remove_long_words"],
|
397 |
+
length_word_max_cutoff=self.param["length_word_max_cutoff"],
|
398 |
+
)
|
399 |
+
return example
|
400 |
+
|
401 |
+
def __reduce__(self):
|
402 |
+
return (self.__class__, (self.lang_dataset_id,))
|
403 |
+
|
404 |
+
|
405 |
+
class Filtering:
|
406 |
+
@staticmethod
|
407 |
+
def check_number_words(
|
408 |
+
document,
|
409 |
+
sentencepiece_model_tok,
|
410 |
+
strip_characters,
|
411 |
+
number_words_min_cutoff,
|
412 |
+
number_words_max_cutoff,
|
413 |
+
):
|
414 |
+
words = ModifyingDocuments.get_words_from_document(
|
415 |
+
document,
|
416 |
+
sentencepiece_model_tok,
|
417 |
+
lower_case=False,
|
418 |
+
strip_characters=strip_characters,
|
419 |
+
)
|
420 |
+
cond = (len(words) >= number_words_min_cutoff) and (
|
421 |
+
len(words) <= number_words_max_cutoff
|
422 |
+
)
|
423 |
+
return cond
|
424 |
+
|
425 |
+
@staticmethod
|
426 |
+
def compute_repetitions_ratio(document, repetitions_length):
|
427 |
+
def get_freq_ngrams(document, n):
|
428 |
+
ngrams = [document[i : i + n] for i in range(len(document) - n + 1)]
|
429 |
+
freq_ngrams = {}
|
430 |
+
for ngram in ngrams:
|
431 |
+
freq_ngrams[ngram] = freq_ngrams.get(ngram, 0) + 1
|
432 |
+
return freq_ngrams
|
433 |
+
|
434 |
+
freq_ngrams = get_freq_ngrams(document, repetitions_length)
|
435 |
+
if len(freq_ngrams) == 0:
|
436 |
+
return 0
|
437 |
+
freq_ngrams = list(freq_ngrams.values())
|
438 |
+
freq_ngrams = sorted(freq_ngrams, reverse=True)
|
439 |
+
num_rep_ngrams = int(np.sqrt(len(freq_ngrams)))
|
440 |
+
repetitions_ratio = sum(freq_ngrams[:num_rep_ngrams]) / sum(freq_ngrams)
|
441 |
+
return repetitions_ratio
|
442 |
+
|
443 |
+
@staticmethod
|
444 |
+
def check_repetitions_removal(
|
445 |
+
document,
|
446 |
+
repetitions_length,
|
447 |
+
repetitions_max_cutoff,
|
448 |
+
):
|
449 |
+
repetitions_ratio = Filtering.compute_repetitions_ratio(
|
450 |
+
document, repetitions_length
|
451 |
+
)
|
452 |
+
cond = repetitions_ratio <= repetitions_max_cutoff
|
453 |
+
return cond
|
454 |
+
|
455 |
+
@staticmethod
|
456 |
+
def compute_special_characters_ratio(document, special_characters):
|
457 |
+
special_characters_ratio = len(
|
458 |
+
[char for char in document if char in special_characters]
|
459 |
+
) / len(document)
|
460 |
+
return special_characters_ratio
|
461 |
+
|
462 |
+
@staticmethod
|
463 |
+
def check_special_characters(
|
464 |
+
document,
|
465 |
+
special_characters,
|
466 |
+
special_characters_max_cutoff,
|
467 |
+
):
|
468 |
+
special_characters_ratio = Filtering.compute_special_characters_ratio(
|
469 |
+
document, special_characters
|
470 |
+
)
|
471 |
+
cond = special_characters_ratio <= special_characters_max_cutoff
|
472 |
+
return cond
|
473 |
+
|
474 |
+
@staticmethod
|
475 |
+
def compute_stopwords_ratio(
|
476 |
+
document,
|
477 |
+
sentencepiece_model_tok,
|
478 |
+
strip_characters,
|
479 |
+
cond_words_augmentation,
|
480 |
+
words_augmentation_group_sizes,
|
481 |
+
words_augmentation_join_char,
|
482 |
+
stopwords,
|
483 |
+
):
|
484 |
+
words = ModifyingDocuments.get_words_from_document(
|
485 |
+
document,
|
486 |
+
sentencepiece_model_tok,
|
487 |
+
lower_case=True,
|
488 |
+
strip_characters=strip_characters,
|
489 |
+
)
|
490 |
+
if not words:
|
491 |
+
return 0
|
492 |
+
augmentation = []
|
493 |
+
if cond_words_augmentation:
|
494 |
+
augmentation = [
|
495 |
+
ModifyingDocuments.words_augmentation(
|
496 |
+
words, group_size, words_augmentation_join_char
|
497 |
+
)
|
498 |
+
for group_size in words_augmentation_group_sizes
|
499 |
+
]
|
500 |
+
augmentation = [word for augm in augmentation for word in augm]
|
501 |
+
stopwords_ratio = len(
|
502 |
+
[word for word in words + augmentation if word in stopwords]
|
503 |
+
) / len(words)
|
504 |
+
if stopwords_ratio > 1.0:
|
505 |
+
stopwords_ratio = 1.0
|
506 |
+
return stopwords_ratio
|
507 |
+
|
508 |
+
@staticmethod
|
509 |
+
def check_stopwords(
|
510 |
+
document,
|
511 |
+
sentencepiece_model_tok,
|
512 |
+
strip_characters,
|
513 |
+
cond_words_augmentation,
|
514 |
+
words_augmentation_group_sizes,
|
515 |
+
words_augmentation_join_char,
|
516 |
+
stopwords,
|
517 |
+
stopwords_min_cutoff,
|
518 |
+
):
|
519 |
+
cond = True
|
520 |
+
if stopwords:
|
521 |
+
stopwords_ratio = Filtering.compute_stopwords_ratio(
|
522 |
+
document,
|
523 |
+
sentencepiece_model_tok,
|
524 |
+
strip_characters,
|
525 |
+
cond_words_augmentation,
|
526 |
+
words_augmentation_group_sizes,
|
527 |
+
words_augmentation_join_char,
|
528 |
+
stopwords,
|
529 |
+
)
|
530 |
+
cond = stopwords_ratio >= stopwords_min_cutoff
|
531 |
+
return cond
|
532 |
+
|
533 |
+
@staticmethod
|
534 |
+
def compute_badwords_ratio(
|
535 |
+
document,
|
536 |
+
sentencepiece_model_tok,
|
537 |
+
strip_characters,
|
538 |
+
cond_words_augmentation,
|
539 |
+
words_augmentation_group_sizes,
|
540 |
+
words_augmentation_join_char,
|
541 |
+
badwords,
|
542 |
+
):
|
543 |
+
words = ModifyingDocuments.get_words_from_document(
|
544 |
+
document,
|
545 |
+
sentencepiece_model_tok,
|
546 |
+
lower_case=True,
|
547 |
+
strip_characters=strip_characters,
|
548 |
+
)
|
549 |
+
if not words:
|
550 |
+
return 0
|
551 |
+
augmentation = []
|
552 |
+
if cond_words_augmentation:
|
553 |
+
augmentation = [
|
554 |
+
ModifyingDocuments.words_augmentation(
|
555 |
+
words, group_size, words_augmentation_join_char
|
556 |
+
)
|
557 |
+
for group_size in words_augmentation_group_sizes
|
558 |
+
]
|
559 |
+
augmentation = [word for augm in augmentation for word in augm]
|
560 |
+
badwords_ratio = len(
|
561 |
+
[word for word in words + augmentation if word in badwords]
|
562 |
+
) / len(words)
|
563 |
+
if badwords_ratio > 1.0:
|
564 |
+
badwords_ratio = 1.0
|
565 |
+
for word in augmentation:
|
566 |
+
if word in badwords:
|
567 |
+
print(word)
|
568 |
+
return badwords_ratio
|
569 |
+
|
570 |
+
@staticmethod
|
571 |
+
def check_badwords(
|
572 |
+
document,
|
573 |
+
sentencepiece_model_tok,
|
574 |
+
strip_characters,
|
575 |
+
cond_words_augmentation,
|
576 |
+
words_augmentation_group_sizes,
|
577 |
+
words_augmentation_join_char,
|
578 |
+
badwords,
|
579 |
+
badwords_max_cutoff,
|
580 |
+
):
|
581 |
+
cond = True
|
582 |
+
if badwords:
|
583 |
+
badwords_ratio = Filtering.compute_badwords_ratio(
|
584 |
+
document,
|
585 |
+
sentencepiece_model_tok,
|
586 |
+
strip_characters,
|
587 |
+
cond_words_augmentation,
|
588 |
+
words_augmentation_group_sizes,
|
589 |
+
words_augmentation_join_char,
|
590 |
+
badwords,
|
591 |
+
)
|
592 |
+
cond = badwords_ratio <= badwords_max_cutoff
|
593 |
+
return cond
|
594 |
+
|
595 |
+
@staticmethod
|
596 |
+
def compute_lang_id_pred_score(document, model_lang_id):
|
597 |
+
document = document.lower().replace("\n", " ")
|
598 |
+
pred = model_lang_id.predict(document)
|
599 |
+
lang_pred_fasttext_id = pred[0][0].replace("__label__", "")
|
600 |
+
score_pred = pred[1][0]
|
601 |
+
lang_pred_dataset_id = langs_id.loc[
|
602 |
+
langs_id["fasttext_id"] == lang_pred_fasttext_id, "dataset_id"
|
603 |
+
]
|
604 |
+
if len(lang_pred_dataset_id) > 0:
|
605 |
+
lang_pred_dataset_id = lang_pred_dataset_id.iloc[0]
|
606 |
+
else:
|
607 |
+
lang_pred_dataset_id = "unknown"
|
608 |
+
return lang_pred_dataset_id, score_pred
|
609 |
+
|
610 |
+
@staticmethod
|
611 |
+
def check_lang_id(
|
612 |
+
document,
|
613 |
+
lang_dataset_id,
|
614 |
+
model_lang_id,
|
615 |
+
lang_id_min_cutoff,
|
616 |
+
):
|
617 |
+
cond = True
|
618 |
+
if model_lang_id:
|
619 |
+
lang_pred_dataset_id, score_pred = Filtering.compute_lang_id_pred_score(
|
620 |
+
document, model_lang_id
|
621 |
+
)
|
622 |
+
cond = (lang_pred_dataset_id == lang_dataset_id) and (
|
623 |
+
score_pred >= lang_id_min_cutoff
|
624 |
+
)
|
625 |
+
return cond
|
626 |
+
|
627 |
+
@staticmethod
|
628 |
+
def compute_perplexity_score(document, sentencepiece_model, kenlm_model):
|
629 |
+
document = ModifyingDocuments.normalization(
|
630 |
+
document=document,
|
631 |
+
remove_non_printing_characters=True,
|
632 |
+
strip=True,
|
633 |
+
lower_case=True,
|
634 |
+
uniform_whitespace=True,
|
635 |
+
replace_digits_with_zeros=True,
|
636 |
+
replace_unicode_punctuation=True,
|
637 |
+
)
|
638 |
+
document = ModifyingDocuments.tokenization(
|
639 |
+
document, sentencepiece_model, join_on_whitespace=True
|
640 |
+
)
|
641 |
+
doc_log_score, doc_length = 0, 0
|
642 |
+
for line in document.split("\n"):
|
643 |
+
log_score = kenlm_model.score(line)
|
644 |
+
length = len(line.split()) + 1
|
645 |
+
doc_log_score += log_score
|
646 |
+
doc_length += length
|
647 |
+
pp_score = 10.0 ** (-doc_log_score / doc_length)
|
648 |
+
pp_score = round(pp_score, 1)
|
649 |
+
return pp_score
|
650 |
+
|
651 |
+
@staticmethod
|
652 |
+
def check_perplexity(
|
653 |
+
document,
|
654 |
+
sentencepiece_model,
|
655 |
+
kenlm_model,
|
656 |
+
perplexity_max_cutoff,
|
657 |
+
):
|
658 |
+
cond = True
|
659 |
+
if kenlm_model:
|
660 |
+
score = Filtering.compute_perplexity_score(
|
661 |
+
document, sentencepiece_model, kenlm_model
|
662 |
+
)
|
663 |
+
cond = score <= perplexity_max_cutoff
|
664 |
+
return cond
|
665 |
+
|
666 |
+
@staticmethod
|
667 |
+
def filtering(
|
668 |
+
document,
|
669 |
+
cond_check_number_words,
|
670 |
+
sentencepiece_model_tok,
|
671 |
+
strip_characters,
|
672 |
+
number_words_min_cutoff,
|
673 |
+
number_words_max_cutoff,
|
674 |
+
cond_check_repetitions_removal,
|
675 |
+
repetitions_length,
|
676 |
+
repetitions_max_cutoff,
|
677 |
+
cond_check_special_characters,
|
678 |
+
special_characters,
|
679 |
+
special_characters_max_cutoff,
|
680 |
+
cond_words_augmentation,
|
681 |
+
words_augmentation_group_sizes,
|
682 |
+
words_augmentation_join_char,
|
683 |
+
cond_check_stopwords,
|
684 |
+
stopwords,
|
685 |
+
stopwords_min_cutoff,
|
686 |
+
cond_check_badwords,
|
687 |
+
badwords,
|
688 |
+
badwords_max_cutoff,
|
689 |
+
cond_check_lang_id,
|
690 |
+
lang_dataset_id,
|
691 |
+
model_lang_id,
|
692 |
+
lang_id_min_cutoff,
|
693 |
+
cond_check_perplexity,
|
694 |
+
sentencepiece_model,
|
695 |
+
kenlm_model,
|
696 |
+
perplexity_max_cutoff,
|
697 |
+
):
|
698 |
+
if cond_check_number_words:
|
699 |
+
if not Filtering.check_number_words(
|
700 |
+
document,
|
701 |
+
sentencepiece_model_tok,
|
702 |
+
strip_characters,
|
703 |
+
number_words_min_cutoff,
|
704 |
+
number_words_max_cutoff,
|
705 |
+
):
|
706 |
+
return False
|
707 |
+
if cond_check_repetitions_removal:
|
708 |
+
if not Filtering.check_repetitions_removal(
|
709 |
+
document,
|
710 |
+
repetitions_length,
|
711 |
+
repetitions_max_cutoff,
|
712 |
+
):
|
713 |
+
return False
|
714 |
+
if cond_check_special_characters:
|
715 |
+
if not Filtering.check_special_characters(
|
716 |
+
document,
|
717 |
+
special_characters,
|
718 |
+
special_characters_max_cutoff,
|
719 |
+
):
|
720 |
+
return False
|
721 |
+
if cond_check_stopwords:
|
722 |
+
if not Filtering.check_stopwords(
|
723 |
+
document,
|
724 |
+
sentencepiece_model_tok,
|
725 |
+
strip_characters,
|
726 |
+
cond_words_augmentation,
|
727 |
+
words_augmentation_group_sizes,
|
728 |
+
words_augmentation_join_char,
|
729 |
+
stopwords,
|
730 |
+
stopwords_min_cutoff,
|
731 |
+
):
|
732 |
+
return False
|
733 |
+
if cond_check_badwords:
|
734 |
+
if not Filtering.check_badwords(
|
735 |
+
document,
|
736 |
+
sentencepiece_model_tok,
|
737 |
+
strip_characters,
|
738 |
+
cond_words_augmentation,
|
739 |
+
words_augmentation_group_sizes,
|
740 |
+
words_augmentation_join_char,
|
741 |
+
badwords,
|
742 |
+
badwords_max_cutoff,
|
743 |
+
):
|
744 |
+
return False
|
745 |
+
if cond_check_lang_id:
|
746 |
+
if not Filtering.check_lang_id(
|
747 |
+
document,
|
748 |
+
lang_dataset_id,
|
749 |
+
model_lang_id,
|
750 |
+
lang_id_min_cutoff,
|
751 |
+
):
|
752 |
+
return False
|
753 |
+
if cond_check_perplexity:
|
754 |
+
if not Filtering.check_perplexity(
|
755 |
+
document,
|
756 |
+
sentencepiece_model,
|
757 |
+
kenlm_model,
|
758 |
+
perplexity_max_cutoff,
|
759 |
+
):
|
760 |
+
return False
|
761 |
+
return True
|
762 |
+
|
763 |
+
|
764 |
+
class FunctionDatasetFiltering:
|
765 |
+
def __init__(
|
766 |
+
self,
|
767 |
+
lang_dataset_id,
|
768 |
+
path_fasttext_model,
|
769 |
+
path_sentencepiece_model,
|
770 |
+
path_kenlm_model,
|
771 |
+
):
|
772 |
+
self.lang_dataset_id = lang_dataset_id
|
773 |
+
self.path_fasttext_model = path_fasttext_model
|
774 |
+
self.path_sentencepiece_model = path_sentencepiece_model
|
775 |
+
self.path_kenlm_model = path_kenlm_model
|
776 |
+
|
777 |
+
self.param = LoadParameters.load_parameters(lang_dataset_id)
|
778 |
+
self.stopwords = LoadParameters.load_stopwords(lang_dataset_id)
|
779 |
+
self.badwords = LoadParameters.load_badwords(lang_dataset_id)
|
780 |
+
self.model_lang_id = LoadParameters.load_model_lang_id(
|
781 |
+
lang_dataset_id, path_fasttext_model
|
782 |
+
)
|
783 |
+
self.sentencepiece_model = LoadParameters.load_sentencepiece_model(
|
784 |
+
lang_dataset_id, path_sentencepiece_model
|
785 |
+
)
|
786 |
+
self.sentencepiece_model_tok = (
|
787 |
+
self.sentencepiece_model if self.param["tokenization"] else None
|
788 |
+
)
|
789 |
+
self.kenlm_model = LoadParameters.load_kenlm_model(
|
790 |
+
lang_dataset_id, path_kenlm_model
|
791 |
+
)
|
792 |
+
|
793 |
+
def __call__(self, example):
|
794 |
+
keep_example = Filtering.filtering(
|
795 |
+
document=example["text"],
|
796 |
+
cond_check_number_words=self.param["cond_check_number_words"],
|
797 |
+
sentencepiece_model_tok=self.sentencepiece_model_tok,
|
798 |
+
strip_characters=self.param["strip_characters"],
|
799 |
+
number_words_min_cutoff=self.param["number_words_min_cutoff"],
|
800 |
+
number_words_max_cutoff=self.param["number_words_max_cutoff"],
|
801 |
+
cond_check_repetitions_removal=self.param["check_repetitions_removal"],
|
802 |
+
repetitions_length=self.param["repetitions_length"],
|
803 |
+
repetitions_max_cutoff=self.param["repetitions_max_cutoff"],
|
804 |
+
cond_check_special_characters=self.param["cond_check_special_characters"],
|
805 |
+
special_characters=self.param["special_characters"],
|
806 |
+
special_characters_max_cutoff=self.param["special_characters_max_cutoff"],
|
807 |
+
cond_words_augmentation=self.param["cond_words_augmentation"],
|
808 |
+
words_augmentation_group_sizes=self.param["words_augmentation_group_sizes"],
|
809 |
+
words_augmentation_join_char=self.param["words_augmentation_join_char"],
|
810 |
+
cond_check_stopwords=self.param["cond_check_stopwords"],
|
811 |
+
stopwords=self.stopwords,
|
812 |
+
stopwords_min_cutoff=self.param["stopwords_min_cutoff"],
|
813 |
+
cond_check_badwords=self.param["cond_check_badwords"],
|
814 |
+
badwords=self.badwords,
|
815 |
+
badwords_max_cutoff=self.param["badwords_max_cutoff"],
|
816 |
+
cond_check_lang_id=self.param["cond_check_lang_id"],
|
817 |
+
lang_dataset_id=self.lang_dataset_id,
|
818 |
+
model_lang_id=self.model_lang_id,
|
819 |
+
lang_id_min_cutoff=self.param["lang_id_min_cutoff"],
|
820 |
+
cond_check_perplexity=self.param["cond_check_perplexity"],
|
821 |
+
sentencepiece_model=self.sentencepiece_model,
|
822 |
+
kenlm_model=self.kenlm_model,
|
823 |
+
perplexity_max_cutoff=self.param["perplexity_max_cutoff"],
|
824 |
+
)
|
825 |
+
return keep_example
|
826 |
+
|
827 |
+
def __reduce__(self):
|
828 |
+
return (
|
829 |
+
self.__class__,
|
830 |
+
(
|
831 |
+
self.lang_dataset_id,
|
832 |
+
self.path_fasttext_model,
|
833 |
+
self.path_sentencepiece_model,
|
834 |
+
self.path_kenlm_model,
|
835 |
+
),
|
836 |
+
)
|
837 |
+
|
838 |
+
|
839 |
+
class DatasetFiltering:
|
840 |
+
def __init__(
|
841 |
+
self,
|
842 |
+
dataset,
|
843 |
+
lang_dataset_id,
|
844 |
+
path_fasttext_model,
|
845 |
+
path_sentencepiece_model,
|
846 |
+
path_kenlm_model,
|
847 |
+
num_proc,
|
848 |
+
path_dir_save_dataset,
|
849 |
+
):
|
850 |
+
self.ds = dataset
|
851 |
+
self.lang_dataset_id = lang_dataset_id
|
852 |
+
self.path_fasttext_model = path_fasttext_model
|
853 |
+
self.path_sentencepiece_model = path_sentencepiece_model
|
854 |
+
self.path_kenlm_model = path_kenlm_model
|
855 |
+
self.num_proc = num_proc
|
856 |
+
self.path_dir_save_dataset = path_dir_save_dataset
|
857 |
+
|
858 |
+
def modifying_documents(self):
|
859 |
+
dataset_modifying_documents = FunctionDatasetModifyingDocuments(
|
860 |
+
self.lang_dataset_id
|
861 |
+
)
|
862 |
+
self.ds = self.ds.map(dataset_modifying_documents, num_proc=self.num_proc)
|
863 |
+
|
864 |
+
def filtering(self):
|
865 |
+
func_dataset_filtering = FunctionDatasetFiltering(
|
866 |
+
self.lang_dataset_id,
|
867 |
+
self.path_fasttext_model,
|
868 |
+
self.path_sentencepiece_model,
|
869 |
+
self.path_kenlm_model,
|
870 |
+
)
|
871 |
+
self.ds = self.ds.filter(func_dataset_filtering, num_proc=self.num_proc)
|
872 |
+
|
873 |
+
def save_dataset(self):
|
874 |
+
pathlib.Path(self.path_dir_save_dataset).mkdir(parents=True, exist_ok=True)
|
875 |
+
path_dir_save_dataset = pathlib.PurePath(
|
876 |
+
self.path_dir_save_dataset, self.lang_dataset_id
|
877 |
+
)
|
878 |
+
pathlib.Path(path_dir_save_dataset).mkdir(parents=True, exist_ok=True)
|
879 |
+
self.ds.save_to_disk(path_dir_save_dataset)
|
languages_id.py
ADDED
@@ -0,0 +1,231 @@
|
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|
|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import pandas as pd
|
2 |
+
|
3 |
+
|
4 |
+
langs_id = [
|
5 |
+
{
|
6 |
+
"lang": "Afrikaans",
|
7 |
+
"dataset_id": "af",
|
8 |
+
"stopwords_id": "af",
|
9 |
+
"badwords_id": None,
|
10 |
+
"fasttext_id": "af",
|
11 |
+
"sentencepiece_id": "af",
|
12 |
+
"kenlm_id": "af",
|
13 |
+
},
|
14 |
+
{
|
15 |
+
"lang": "Arabic",
|
16 |
+
"dataset_id": "ar",
|
17 |
+
"stopwords_id": "ar",
|
18 |
+
"badwords_id": "ar",
|
19 |
+
"fasttext_id": "ar",
|
20 |
+
"sentencepiece_id": "ar",
|
21 |
+
"kenlm_id": "ar",
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"lang": "Egyptian Arabic",
|
25 |
+
"dataset_id": "arz",
|
26 |
+
"stopwords_id": None,
|
27 |
+
"badwords_id": None,
|
28 |
+
"fasttext_id": "arz",
|
29 |
+
"sentencepiece_id": None,
|
30 |
+
"kenlm_id": None,
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"lang": "Assamese",
|
34 |
+
"dataset_id": "as",
|
35 |
+
"stopwords_id": None,
|
36 |
+
"badwords_id": None,
|
37 |
+
"fasttext_id": "as",
|
38 |
+
"sentencepiece_id": None,
|
39 |
+
"kenlm_id": None,
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"lang": "Bengali",
|
43 |
+
"dataset_id": "bn",
|
44 |
+
"stopwords_id": "bn",
|
45 |
+
"badwords_id": None,
|
46 |
+
"fasttext_id": "bn",
|
47 |
+
"sentencepiece_id": "bn",
|
48 |
+
"kenlm_id": "bn",
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"lang": "Catalan",
|
52 |
+
"dataset_id": "ca",
|
53 |
+
"stopwords_id": "ca",
|
54 |
+
"badwords_id": "ca",
|
55 |
+
"fasttext_id": "ca",
|
56 |
+
"sentencepiece_id": "ca",
|
57 |
+
"kenlm_id": "ca",
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"lang": "English",
|
61 |
+
"dataset_id": "en",
|
62 |
+
"stopwords_id": "en",
|
63 |
+
"badwords_id": "en",
|
64 |
+
"fasttext_id": "en",
|
65 |
+
"sentencepiece_id": "en",
|
66 |
+
"kenlm_id": "en",
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"lang": "Spanish",
|
70 |
+
"dataset_id": "es",
|
71 |
+
"stopwords_id": "es",
|
72 |
+
"badwords_id": "es",
|
73 |
+
"fasttext_id": "es",
|
74 |
+
"sentencepiece_id": "es",
|
75 |
+
"kenlm_id": "es",
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"lang": "Basque",
|
79 |
+
"dataset_id": "eu",
|
80 |
+
"stopwords_id": "eu",
|
81 |
+
"badwords_id": "eu",
|
82 |
+
"fasttext_id": "eu",
|
83 |
+
"sentencepiece_id": None,
|
84 |
+
"kenlm_id": None,
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"lang": "French",
|
88 |
+
"dataset_id": "fr",
|
89 |
+
"stopwords_id": "fr",
|
90 |
+
"badwords_id": "fr",
|
91 |
+
"fasttext_id": "fr",
|
92 |
+
"sentencepiece_id": "fr",
|
93 |
+
"kenlm_id": "fr",
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"lang": "Gujarati",
|
97 |
+
"dataset_id": "gu",
|
98 |
+
"stopwords_id": None,
|
99 |
+
"badwords_id": None,
|
100 |
+
"fasttext_id": "gu",
|
101 |
+
"sentencepiece_id": "gu",
|
102 |
+
"kenlm_id": "gu",
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"lang": "Hindi",
|
106 |
+
"dataset_id": "hi",
|
107 |
+
"stopwords_id": "hi",
|
108 |
+
"badwords_id": "hi",
|
109 |
+
"fasttext_id": "hi",
|
110 |
+
"sentencepiece_id": "hi",
|
111 |
+
"kenlm_id": "hi",
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"lang": "Indonesian",
|
115 |
+
"dataset_id": "id",
|
116 |
+
"stopwords_id": "id",
|
117 |
+
"badwords_id": "id",
|
118 |
+
"fasttext_id": "id",
|
119 |
+
"sentencepiece_id": "id",
|
120 |
+
"kenlm_id": "id",
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"lang": "Kannada",
|
124 |
+
"dataset_id": "kn",
|
125 |
+
"stopwords_id": None,
|
126 |
+
"badwords_id": "kn",
|
127 |
+
"fasttext_id": "kn",
|
128 |
+
"sentencepiece_id": "kn",
|
129 |
+
"kenlm_id": "kn",
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"lang": "Malayalam",
|
133 |
+
"dataset_id": "ml",
|
134 |
+
"stopwords_id": None,
|
135 |
+
"badwords_id": "ml",
|
136 |
+
"fasttext_id": "ml",
|
137 |
+
"sentencepiece_id": "ml",
|
138 |
+
"kenlm_id": "ml",
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"lang": "Marathi",
|
142 |
+
"dataset_id": "mr",
|
143 |
+
"stopwords_id": "mr",
|
144 |
+
"badwords_id": "mr",
|
145 |
+
"fasttext_id": "mr",
|
146 |
+
"sentencepiece_id": "mr",
|
147 |
+
"kenlm_id": "mr",
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"lang": "Portuguese",
|
151 |
+
"dataset_id": "pt",
|
152 |
+
"stopwords_id": "pt",
|
153 |
+
"badwords_id": "pt",
|
154 |
+
"fasttext_id": "pt",
|
155 |
+
"sentencepiece_id": "pt",
|
156 |
+
"kenlm_id": "pt",
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"lang": "Somali",
|
160 |
+
"dataset_id": "so",
|
161 |
+
"stopwords_id": "so",
|
162 |
+
"badwords_id": None,
|
163 |
+
"fasttext_id": "so",
|
164 |
+
"sentencepiece_id": None,
|
165 |
+
"kenlm_id": None,
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"lang": "Swahili",
|
169 |
+
"dataset_id": "sw",
|
170 |
+
"stopwords_id": "sw",
|
171 |
+
"badwords_id": None,
|
172 |
+
"fasttext_id": "sw",
|
173 |
+
"sentencepiece_id": None,
|
174 |
+
"kenlm_id": None,
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"lang": "Tamil",
|
178 |
+
"dataset_id": "ta",
|
179 |
+
"stopwords_id": None,
|
180 |
+
"badwords_id": None,
|
181 |
+
"fasttext_id": "ta",
|
182 |
+
"sentencepiece_id": None,
|
183 |
+
"kenlm_id": None,
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"lang": "Telugu",
|
187 |
+
"dataset_id": "te",
|
188 |
+
"stopwords_id": None,
|
189 |
+
"badwords_id": "te",
|
190 |
+
"fasttext_id": "te",
|
191 |
+
"sentencepiece_id": None,
|
192 |
+
"kenlm_id": None,
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"lang": "Urdu",
|
196 |
+
"dataset_id": "ur",
|
197 |
+
"stopwords_id": "ur",
|
198 |
+
"badwords_id": None,
|
199 |
+
"fasttext_id": "ur",
|
200 |
+
"sentencepiece_id": None,
|
201 |
+
"kenlm_id": None,
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"lang": "Vietnamese",
|
205 |
+
"dataset_id": "vi",
|
206 |
+
"stopwords_id": "vi",
|
207 |
+
"badwords_id": "vi",
|
208 |
+
"fasttext_id": "vi",
|
209 |
+
"sentencepiece_id": None,
|
210 |
+
"kenlm_id": None,
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"lang": "Yoruba",
|
214 |
+
"dataset_id": "yo",
|
215 |
+
"stopwords_id": "yo",
|
216 |
+
"badwords_id": None,
|
217 |
+
"fasttext_id": "yo",
|
218 |
+
"sentencepiece_id": None,
|
219 |
+
"kenlm_id": None,
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"lang": "Chinese",
|
223 |
+
"dataset_id": "zh",
|
224 |
+
"stopwords_id": "zh",
|
225 |
+
"badwords_id": "zh",
|
226 |
+
"fasttext_id": "zh",
|
227 |
+
"sentencepiece_id": "zh",
|
228 |
+
"kenlm_id": "zh",
|
229 |
+
},
|
230 |
+
]
|
231 |
+
langs_id = pd.DataFrame(langs_id)
|
lid.176.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e69ec5451bc261cc7844e49e4792a85d7f09c06789ec800fc4a44aec362764e
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+
size 131266198
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normalization.py
ADDED
@@ -0,0 +1,52 @@
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import re
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from typing import Dict
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non_printing_characters_re = re.compile(
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f"[{''.join(map(chr, list(range(0,32)) + list(range(127,160))))}]"
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)
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9 |
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digits_re: re.Pattern = re.compile(r"\d")
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unicode_punctuation: Dict[str, str] = {
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",": ",",
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"。": ".",
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"、": ",",
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"„": '"',
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"”": '"',
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"“": '"',
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"«": '"',
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"»": '"',
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"1": '"',
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"」": '"',
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"「": '"',
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"《": '"',
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"》": '"',
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"´": "'",
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"∶": ":",
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":": ":",
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"?": "?",
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"!": "!",
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"(": "(",
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")": ")",
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";": ";",
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"–": "-",
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"—": " - ",
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".": ". ",
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"~": "~",
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"’": "'",
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"…": "...",
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"━": "-",
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"〈": "<",
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"〉": ">",
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"【": "[",
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"】": "]",
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"%": "%",
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"►": "-",
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}
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normalization = {
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"non_printing_characters_re": non_printing_characters_re,
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"digits_re": digits_re,
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"unicode_punctuation": unicode_punctuation,
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}
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requirements.txt → packages.txt
RENAMED
File without changes
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parameters_filtering.py
ADDED
@@ -0,0 +1,852 @@
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|
1 |
+
import string
|
2 |
+
import emoji
|
3 |
+
|
4 |
+
|
5 |
+
main_special_characters = string.punctuation + string.digits + string.whitespace
|
6 |
+
other_special_characters = (
|
7 |
+
" ’“”–ー一▬…✦�£•€«»°·═"
|
8 |
+
"×士^˘⇓↓↑←→()§″′´¿−±∈¢ø‚„½¼¾¹²³―⁃,ˌ¸‹›ʺˈʻ¦‐⠀‰
‑≤≥‖"
|
9 |
+
"◆●■►▼▲▴∆▻¡★☆✱ːº。¯˜¥ɪ≈†上ン:∼⁄・♡✓⊕․.⋅÷1‟;،、¨ाাी्े◦˚"
|
10 |
+
"゜ʼ≖ʼ¤ッツシ℃√!【】‿∞➤~πه۩☛₨➩☻๑٪♥ıॽ《‘©﴿٬x?▷Г♫∟™ª₪®「—"
|
11 |
+
"❖」﴾》"
|
12 |
+
)
|
13 |
+
emoji = list(emoji.UNICODE_EMOJI["en"].keys())
|
14 |
+
|
15 |
+
special_characters_default = set(main_special_characters + other_special_characters)
|
16 |
+
special_characters_default.update(emoji)
|
17 |
+
|
18 |
+
|
19 |
+
parameters_filtering_default = {
|
20 |
+
"cond_uniform_whitespace": True,
|
21 |
+
"cond_replace_unicode_punctuation": False,
|
22 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
23 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
24 |
+
"cond_remove_long_words": False,
|
25 |
+
"length_word_max_cutoff": 50,
|
26 |
+
"cond_check_number_words": True,
|
27 |
+
"tokenization": False,
|
28 |
+
"strip_characters": special_characters_default,
|
29 |
+
"number_words_min_cutoff": 1,
|
30 |
+
"number_words_max_cutoff": 100000,
|
31 |
+
"check_repetitions_removal": True,
|
32 |
+
"repetitions_length": 10,
|
33 |
+
"repetitions_max_cutoff": 0.106,
|
34 |
+
"cond_check_special_characters": True,
|
35 |
+
"special_characters": special_characters_default,
|
36 |
+
"special_characters_max_cutoff": 0.4,
|
37 |
+
"cond_words_augmentation": False,
|
38 |
+
"words_augmentation_group_sizes": [],
|
39 |
+
"words_augmentation_join_char": "",
|
40 |
+
"cond_check_stopwords": False,
|
41 |
+
"stopwords_min_cutoff": 0,
|
42 |
+
"cond_check_badwords": False,
|
43 |
+
"badwords_max_cutoff": 0.2,
|
44 |
+
"cond_check_lang_id": True,
|
45 |
+
"lang_id_min_cutoff": 0.70,
|
46 |
+
"cond_check_perplexity": False,
|
47 |
+
"perplexity_max_cutoff": 3000000,
|
48 |
+
}
|
49 |
+
|
50 |
+
parameters_filtering_af = {
|
51 |
+
"cond_uniform_whitespace": True,
|
52 |
+
"cond_replace_unicode_punctuation": False,
|
53 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
54 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
55 |
+
"cond_remove_long_words": True,
|
56 |
+
"length_word_max_cutoff": 25,
|
57 |
+
"cond_check_number_words": True,
|
58 |
+
"tokenization": False,
|
59 |
+
"strip_characters": special_characters_default,
|
60 |
+
"number_words_min_cutoff": 1,
|
61 |
+
"number_words_max_cutoff": 100000,
|
62 |
+
"check_repetitions_removal": True,
|
63 |
+
"repetitions_length": 10,
|
64 |
+
"repetitions_max_cutoff": 0.106,
|
65 |
+
"cond_check_special_characters": True,
|
66 |
+
"special_characters": special_characters_default,
|
67 |
+
"special_characters_max_cutoff": 0.3,
|
68 |
+
"cond_words_augmentation": False,
|
69 |
+
"words_augmentation_group_sizes": [],
|
70 |
+
"words_augmentation_join_char": "",
|
71 |
+
"cond_check_stopwords": True,
|
72 |
+
"stopwords_min_cutoff": 0,
|
73 |
+
"cond_check_badwords": False,
|
74 |
+
"badwords_max_cutoff": 0.2,
|
75 |
+
"cond_check_lang_id": True,
|
76 |
+
"lang_id_min_cutoff": 0.6,
|
77 |
+
"cond_check_perplexity": True,
|
78 |
+
"perplexity_max_cutoff": 3000000,
|
79 |
+
}
|
80 |
+
|
81 |
+
parameters_filtering_ar = {
|
82 |
+
"cond_uniform_whitespace": True,
|
83 |
+
"cond_replace_unicode_punctuation": False,
|
84 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
85 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
86 |
+
"cond_remove_long_words": True,
|
87 |
+
"length_word_max_cutoff": 25,
|
88 |
+
"cond_check_number_words": True,
|
89 |
+
"tokenization": False,
|
90 |
+
"strip_characters": special_characters_default,
|
91 |
+
"number_words_min_cutoff": 1,
|
92 |
+
"number_words_max_cutoff": 100000,
|
93 |
+
"check_repetitions_removal": True,
|
94 |
+
"repetitions_length": 10,
|
95 |
+
"repetitions_max_cutoff": 0.106,
|
96 |
+
"cond_check_special_characters": True,
|
97 |
+
"special_characters": special_characters_default,
|
98 |
+
"special_characters_max_cutoff": 0.45,
|
99 |
+
"cond_words_augmentation": False,
|
100 |
+
"words_augmentation_group_sizes": [],
|
101 |
+
"words_augmentation_join_char": "",
|
102 |
+
"cond_check_stopwords": True,
|
103 |
+
"stopwords_min_cutoff": 0,
|
104 |
+
"cond_check_badwords": False,
|
105 |
+
"badwords_max_cutoff": 0.2,
|
106 |
+
"cond_check_lang_id": True,
|
107 |
+
"lang_id_min_cutoff": 0.75,
|
108 |
+
"cond_check_perplexity": True,
|
109 |
+
"perplexity_max_cutoff": 1000000,
|
110 |
+
}
|
111 |
+
|
112 |
+
parameters_filtering_arz = {
|
113 |
+
"cond_uniform_whitespace": True,
|
114 |
+
"cond_replace_unicode_punctuation": False,
|
115 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
116 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
117 |
+
"cond_remove_long_words": True,
|
118 |
+
"length_word_max_cutoff": 25,
|
119 |
+
"cond_check_number_words": True,
|
120 |
+
"tokenization": False,
|
121 |
+
"strip_characters": special_characters_default,
|
122 |
+
"number_words_min_cutoff": 1,
|
123 |
+
"number_words_max_cutoff": 100000,
|
124 |
+
"check_repetitions_removal": True,
|
125 |
+
"repetitions_length": 10,
|
126 |
+
"repetitions_max_cutoff": 0.106,
|
127 |
+
"cond_check_special_characters": True,
|
128 |
+
"special_characters": special_characters_default,
|
129 |
+
"special_characters_max_cutoff": 0.5,
|
130 |
+
"cond_words_augmentation": False,
|
131 |
+
"words_augmentation_group_sizes": [],
|
132 |
+
"words_augmentation_join_char": "",
|
133 |
+
"cond_check_stopwords": True,
|
134 |
+
"stopwords_min_cutoff": 0,
|
135 |
+
"cond_check_badwords": False,
|
136 |
+
"badwords_max_cutoff": 0.2,
|
137 |
+
"cond_check_lang_id": True,
|
138 |
+
"lang_id_min_cutoff": 0.75,
|
139 |
+
"cond_check_perplexity": False,
|
140 |
+
"perplexity_max_cutoff": 3000000,
|
141 |
+
}
|
142 |
+
|
143 |
+
parameters_filtering_as = {
|
144 |
+
"cond_uniform_whitespace": True,
|
145 |
+
"cond_replace_unicode_punctuation": False,
|
146 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
147 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
148 |
+
"cond_remove_long_words": True,
|
149 |
+
"length_word_max_cutoff": 25,
|
150 |
+
"cond_check_number_words": True,
|
151 |
+
"tokenization": False,
|
152 |
+
"strip_characters": special_characters_default,
|
153 |
+
"number_words_min_cutoff": 1,
|
154 |
+
"number_words_max_cutoff": 100000,
|
155 |
+
"check_repetitions_removal": True,
|
156 |
+
"repetitions_length": 10,
|
157 |
+
"repetitions_max_cutoff": 0.106,
|
158 |
+
"cond_check_special_characters": True,
|
159 |
+
"special_characters": special_characters_default,
|
160 |
+
"special_characters_max_cutoff": 0.25,
|
161 |
+
"cond_words_augmentation": False,
|
162 |
+
"words_augmentation_group_sizes": [],
|
163 |
+
"words_augmentation_join_char": "",
|
164 |
+
"cond_check_stopwords": True,
|
165 |
+
"stopwords_min_cutoff": 0,
|
166 |
+
"cond_check_badwords": False,
|
167 |
+
"badwords_max_cutoff": 0.2,
|
168 |
+
"cond_check_lang_id": True,
|
169 |
+
"lang_id_min_cutoff": 0.75,
|
170 |
+
"cond_check_perplexity": False,
|
171 |
+
"perplexity_max_cutoff": 3000000,
|
172 |
+
}
|
173 |
+
|
174 |
+
parameters_filtering_bn = {
|
175 |
+
"cond_uniform_whitespace": True,
|
176 |
+
"cond_replace_unicode_punctuation": False,
|
177 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
178 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
179 |
+
"cond_remove_long_words": True,
|
180 |
+
"length_word_max_cutoff": 30,
|
181 |
+
"cond_check_number_words": True,
|
182 |
+
"tokenization": False,
|
183 |
+
"strip_characters": special_characters_default,
|
184 |
+
"number_words_min_cutoff": 1,
|
185 |
+
"number_words_max_cutoff": 100000,
|
186 |
+
"check_repetitions_removal": True,
|
187 |
+
"repetitions_length": 10,
|
188 |
+
"repetitions_max_cutoff": 0.106,
|
189 |
+
"cond_check_special_characters": True,
|
190 |
+
"special_characters": special_characters_default,
|
191 |
+
"special_characters_max_cutoff": 0.275,
|
192 |
+
"cond_words_augmentation": False,
|
193 |
+
"words_augmentation_group_sizes": [],
|
194 |
+
"words_augmentation_join_char": "",
|
195 |
+
"cond_check_stopwords": True,
|
196 |
+
"stopwords_min_cutoff": 0.05,
|
197 |
+
"cond_check_badwords": False,
|
198 |
+
"badwords_max_cutoff": 0.2,
|
199 |
+
"cond_check_lang_id": True,
|
200 |
+
"lang_id_min_cutoff": 0.75,
|
201 |
+
"cond_check_perplexity": False,
|
202 |
+
"perplexity_max_cutoff": 575000,
|
203 |
+
}
|
204 |
+
|
205 |
+
parameters_filtering_ca = {
|
206 |
+
"cond_uniform_whitespace": True,
|
207 |
+
"cond_replace_unicode_punctuation": False,
|
208 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
209 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
210 |
+
"cond_remove_long_words": True,
|
211 |
+
"length_word_max_cutoff": 30,
|
212 |
+
"cond_check_number_words": True,
|
213 |
+
"tokenization": False,
|
214 |
+
"strip_characters": special_characters_default,
|
215 |
+
"number_words_min_cutoff": 1,
|
216 |
+
"number_words_max_cutoff": 100000,
|
217 |
+
"check_repetitions_removal": True,
|
218 |
+
"repetitions_length": 10,
|
219 |
+
"repetitions_max_cutoff": 0.106,
|
220 |
+
"cond_check_special_characters": True,
|
221 |
+
"special_characters": special_characters_default,
|
222 |
+
"special_characters_max_cutoff": 0.35,
|
223 |
+
"cond_words_augmentation": False,
|
224 |
+
"words_augmentation_group_sizes": [],
|
225 |
+
"words_augmentation_join_char": "",
|
226 |
+
"cond_check_stopwords": True,
|
227 |
+
"stopwords_min_cutoff": 0,
|
228 |
+
"cond_check_badwords": False,
|
229 |
+
"badwords_max_cutoff": 0.2,
|
230 |
+
"cond_check_lang_id": True,
|
231 |
+
"lang_id_min_cutoff": 0.75,
|
232 |
+
"cond_check_perplexity": True,
|
233 |
+
"perplexity_max_cutoff": 1750000,
|
234 |
+
}
|
235 |
+
|
236 |
+
parameters_filtering_en = {
|
237 |
+
"cond_uniform_whitespace": True,
|
238 |
+
"cond_replace_unicode_punctuation": False,
|
239 |
+
"cond_remove_words_with_incorrect_substrings": True,
|
240 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
241 |
+
"cond_remove_long_words": True,
|
242 |
+
"length_word_max_cutoff": 25,
|
243 |
+
"cond_check_number_words": True,
|
244 |
+
"tokenization": False,
|
245 |
+
"strip_characters": special_characters_default,
|
246 |
+
"number_words_min_cutoff": 20,
|
247 |
+
"number_words_max_cutoff": 100000,
|
248 |
+
"check_repetitions_removal": True,
|
249 |
+
"repetitions_length": 10,
|
250 |
+
"repetitions_max_cutoff": 0.106,
|
251 |
+
"cond_check_special_characters": True,
|
252 |
+
"special_characters": special_characters_default,
|
253 |
+
"special_characters_max_cutoff": 0.4,
|
254 |
+
"cond_words_augmentation": False,
|
255 |
+
"words_augmentation_group_sizes": [],
|
256 |
+
"words_augmentation_join_char": "",
|
257 |
+
"cond_check_stopwords": True,
|
258 |
+
"stopwords_min_cutoff": 0.3,
|
259 |
+
"cond_check_badwords": True,
|
260 |
+
"badwords_max_cutoff": 0.045,
|
261 |
+
"cond_check_lang_id": True,
|
262 |
+
"lang_id_min_cutoff": 0.80,
|
263 |
+
"cond_check_perplexity": True,
|
264 |
+
"perplexity_max_cutoff": 2500,
|
265 |
+
}
|
266 |
+
|
267 |
+
parameters_filtering_es = {
|
268 |
+
"cond_uniform_whitespace": True,
|
269 |
+
"cond_replace_unicode_punctuation": False,
|
270 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
271 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
272 |
+
"cond_remove_long_words": True,
|
273 |
+
"length_word_max_cutoff": 30,
|
274 |
+
"cond_check_number_words": True,
|
275 |
+
"tokenization": False,
|
276 |
+
"strip_characters": special_characters_default,
|
277 |
+
"number_words_min_cutoff": 1,
|
278 |
+
"number_words_max_cutoff": 100000,
|
279 |
+
"check_repetitions_removal": True,
|
280 |
+
"repetitions_length": 10,
|
281 |
+
"repetitions_max_cutoff": 0.106,
|
282 |
+
"cond_check_special_characters": True,
|
283 |
+
"special_characters": special_characters_default,
|
284 |
+
"special_characters_max_cutoff": 0.3,
|
285 |
+
"cond_words_augmentation": False,
|
286 |
+
"words_augmentation_group_sizes": [],
|
287 |
+
"words_augmentation_join_char": "",
|
288 |
+
"cond_check_stopwords": True,
|
289 |
+
"stopwords_min_cutoff": 0.2,
|
290 |
+
"cond_check_badwords": False,
|
291 |
+
"badwords_max_cutoff": 0.2,
|
292 |
+
"cond_check_lang_id": True,
|
293 |
+
"lang_id_min_cutoff": 0.75,
|
294 |
+
"cond_check_perplexity": True,
|
295 |
+
"perplexity_max_cutoff": 2500000,
|
296 |
+
}
|
297 |
+
|
298 |
+
parameters_filtering_eu = {
|
299 |
+
"cond_uniform_whitespace": True,
|
300 |
+
"cond_replace_unicode_punctuation": False,
|
301 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
302 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
303 |
+
"cond_remove_long_words": True,
|
304 |
+
"length_word_max_cutoff": 35,
|
305 |
+
"cond_check_number_words": True,
|
306 |
+
"tokenization": False,
|
307 |
+
"strip_characters": special_characters_default,
|
308 |
+
"number_words_min_cutoff": 1,
|
309 |
+
"number_words_max_cutoff": 100000,
|
310 |
+
"check_repetitions_removal": True,
|
311 |
+
"repetitions_length": 10,
|
312 |
+
"repetitions_max_cutoff": 0.106,
|
313 |
+
"cond_check_special_characters": True,
|
314 |
+
"special_characters": special_characters_default,
|
315 |
+
"special_characters_max_cutoff": 0.3,
|
316 |
+
"cond_words_augmentation": False,
|
317 |
+
"words_augmentation_group_sizes": [],
|
318 |
+
"words_augmentation_join_char": "",
|
319 |
+
"cond_check_stopwords": True,
|
320 |
+
"stopwords_min_cutoff": 0,
|
321 |
+
"cond_check_badwords": False,
|
322 |
+
"badwords_max_cutoff": 0.2,
|
323 |
+
"cond_check_lang_id": True,
|
324 |
+
"lang_id_min_cutoff": 0.75,
|
325 |
+
"cond_check_perplexity": False,
|
326 |
+
"perplexity_max_cutoff": 3000000,
|
327 |
+
}
|
328 |
+
|
329 |
+
parameters_filtering_fr = {
|
330 |
+
"cond_uniform_whitespace": True,
|
331 |
+
"cond_replace_unicode_punctuation": False,
|
332 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
333 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
334 |
+
"cond_remove_long_words": True,
|
335 |
+
"length_word_max_cutoff": 30,
|
336 |
+
"cond_check_number_words": True,
|
337 |
+
"tokenization": False,
|
338 |
+
"strip_characters": special_characters_default,
|
339 |
+
"number_words_min_cutoff": 1,
|
340 |
+
"number_words_max_cutoff": 100000,
|
341 |
+
"check_repetitions_removal": True,
|
342 |
+
"repetitions_length": 10,
|
343 |
+
"repetitions_max_cutoff": 0.106,
|
344 |
+
"cond_check_special_characters": True,
|
345 |
+
"special_characters": special_characters_default,
|
346 |
+
"special_characters_max_cutoff": 0.35,
|
347 |
+
"cond_words_augmentation": False,
|
348 |
+
"words_augmentation_group_sizes": [],
|
349 |
+
"words_augmentation_join_char": "",
|
350 |
+
"cond_check_stopwords": True,
|
351 |
+
"stopwords_min_cutoff": 0.15,
|
352 |
+
"cond_check_badwords": False,
|
353 |
+
"badwords_max_cutoff": 0.2,
|
354 |
+
"cond_check_lang_id": True,
|
355 |
+
"lang_id_min_cutoff": 0.75,
|
356 |
+
"cond_check_perplexity": True,
|
357 |
+
"perplexity_max_cutoff": 3000000,
|
358 |
+
}
|
359 |
+
|
360 |
+
parameters_filtering_gu = {
|
361 |
+
"cond_uniform_whitespace": True,
|
362 |
+
"cond_replace_unicode_punctuation": False,
|
363 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
364 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
365 |
+
"cond_remove_long_words": True,
|
366 |
+
"length_word_max_cutoff": 30,
|
367 |
+
"cond_check_number_words": True,
|
368 |
+
"tokenization": False,
|
369 |
+
"strip_characters": special_characters_default,
|
370 |
+
"number_words_min_cutoff": 1,
|
371 |
+
"number_words_max_cutoff": 100000,
|
372 |
+
"check_repetitions_removal": True,
|
373 |
+
"repetitions_length": 10,
|
374 |
+
"repetitions_max_cutoff": 0.106,
|
375 |
+
"cond_check_special_characters": True,
|
376 |
+
"special_characters": special_characters_default,
|
377 |
+
"special_characters_max_cutoff": 0.3,
|
378 |
+
"cond_words_augmentation": False,
|
379 |
+
"words_augmentation_group_sizes": [],
|
380 |
+
"words_augmentation_join_char": "",
|
381 |
+
"cond_check_stopwords": True,
|
382 |
+
"stopwords_min_cutoff": 0,
|
383 |
+
"cond_check_badwords": False,
|
384 |
+
"badwords_max_cutoff": 0.2,
|
385 |
+
"cond_check_lang_id": True,
|
386 |
+
"lang_id_min_cutoff": 0.75,
|
387 |
+
"cond_check_perplexity": True,
|
388 |
+
"perplexity_max_cutoff": 250000,
|
389 |
+
}
|
390 |
+
|
391 |
+
parameters_filtering_hi = {
|
392 |
+
"cond_uniform_whitespace": True,
|
393 |
+
"cond_replace_unicode_punctuation": False,
|
394 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
395 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
396 |
+
"cond_remove_long_words": True,
|
397 |
+
"length_word_max_cutoff": 25,
|
398 |
+
"cond_check_number_words": True,
|
399 |
+
"tokenization": False,
|
400 |
+
"strip_characters": special_characters_default,
|
401 |
+
"number_words_min_cutoff": 1,
|
402 |
+
"number_words_max_cutoff": 100000,
|
403 |
+
"check_repetitions_removal": True,
|
404 |
+
"repetitions_length": 10,
|
405 |
+
"repetitions_max_cutoff": 0.106,
|
406 |
+
"cond_check_special_characters": True,
|
407 |
+
"special_characters": special_characters_default,
|
408 |
+
"special_characters_max_cutoff": 0.35,
|
409 |
+
"cond_words_augmentation": False,
|
410 |
+
"words_augmentation_group_sizes": [],
|
411 |
+
"words_augmentation_join_char": "",
|
412 |
+
"cond_check_stopwords": True,
|
413 |
+
"stopwords_min_cutoff": 0,
|
414 |
+
"cond_check_badwords": False,
|
415 |
+
"badwords_max_cutoff": 0.2,
|
416 |
+
"cond_check_lang_id": True,
|
417 |
+
"lang_id_min_cutoff": 0.75,
|
418 |
+
"cond_check_perplexity": True,
|
419 |
+
"perplexity_max_cutoff": 600000,
|
420 |
+
}
|
421 |
+
|
422 |
+
parameters_filtering_id = {
|
423 |
+
"cond_uniform_whitespace": True,
|
424 |
+
"cond_replace_unicode_punctuation": False,
|
425 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
426 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
427 |
+
"cond_remove_long_words": True,
|
428 |
+
"length_word_max_cutoff": 30,
|
429 |
+
"cond_check_number_words": True,
|
430 |
+
"tokenization": False,
|
431 |
+
"strip_characters": special_characters_default,
|
432 |
+
"number_words_min_cutoff": 1,
|
433 |
+
"number_words_max_cutoff": 100000,
|
434 |
+
"check_repetitions_removal": True,
|
435 |
+
"repetitions_length": 10,
|
436 |
+
"repetitions_max_cutoff": 0.106,
|
437 |
+
"cond_check_special_characters": True,
|
438 |
+
"special_characters": special_characters_default,
|
439 |
+
"special_characters_max_cutoff": 0.25,
|
440 |
+
"cond_words_augmentation": False,
|
441 |
+
"words_augmentation_group_sizes": [],
|
442 |
+
"words_augmentation_join_char": "",
|
443 |
+
"cond_check_stopwords": True,
|
444 |
+
"stopwords_min_cutoff": 0.25,
|
445 |
+
"cond_check_badwords": False,
|
446 |
+
"badwords_max_cutoff": 0.2,
|
447 |
+
"cond_check_lang_id": True,
|
448 |
+
"lang_id_min_cutoff": 0.75,
|
449 |
+
"cond_check_perplexity": True,
|
450 |
+
"perplexity_max_cutoff": 2500000,
|
451 |
+
}
|
452 |
+
|
453 |
+
parameters_filtering_kn = {
|
454 |
+
"cond_uniform_whitespace": True,
|
455 |
+
"cond_replace_unicode_punctuation": False,
|
456 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
457 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
458 |
+
"cond_remove_long_words": True,
|
459 |
+
"length_word_max_cutoff": 50,
|
460 |
+
"cond_check_number_words": True,
|
461 |
+
"tokenization": False,
|
462 |
+
"strip_characters": special_characters_default,
|
463 |
+
"number_words_min_cutoff": 1,
|
464 |
+
"number_words_max_cutoff": 100000,
|
465 |
+
"check_repetitions_removal": True,
|
466 |
+
"repetitions_length": 10,
|
467 |
+
"repetitions_max_cutoff": 0.106,
|
468 |
+
"cond_check_special_characters": True,
|
469 |
+
"special_characters": special_characters_default,
|
470 |
+
"special_characters_max_cutoff": 0.25,
|
471 |
+
"cond_words_augmentation": False,
|
472 |
+
"words_augmentation_group_sizes": [],
|
473 |
+
"words_augmentation_join_char": "",
|
474 |
+
"cond_check_stopwords": True,
|
475 |
+
"stopwords_min_cutoff": 0,
|
476 |
+
"cond_check_badwords": False,
|
477 |
+
"badwords_max_cutoff": 0.2,
|
478 |
+
"cond_check_lang_id": True,
|
479 |
+
"lang_id_min_cutoff": 0.75,
|
480 |
+
"cond_check_perplexity": True,
|
481 |
+
"perplexity_max_cutoff": 400000,
|
482 |
+
}
|
483 |
+
|
484 |
+
parameters_filtering_ml = {
|
485 |
+
"cond_uniform_whitespace": True,
|
486 |
+
"cond_replace_unicode_punctuation": False,
|
487 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
488 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
489 |
+
"cond_remove_long_words": True,
|
490 |
+
"length_word_max_cutoff": 50,
|
491 |
+
"cond_check_number_words": True,
|
492 |
+
"tokenization": False,
|
493 |
+
"strip_characters": special_characters_default,
|
494 |
+
"number_words_min_cutoff": 1,
|
495 |
+
"number_words_max_cutoff": 100000,
|
496 |
+
"check_repetitions_removal": True,
|
497 |
+
"repetitions_length": 10,
|
498 |
+
"repetitions_max_cutoff": 0.106,
|
499 |
+
"cond_check_special_characters": True,
|
500 |
+
"special_characters": special_characters_default,
|
501 |
+
"special_characters_max_cutoff": 0.2,
|
502 |
+
"cond_words_augmentation": False,
|
503 |
+
"words_augmentation_group_sizes": [],
|
504 |
+
"words_augmentation_join_char": "",
|
505 |
+
"cond_check_stopwords": True,
|
506 |
+
"stopwords_min_cutoff": 0,
|
507 |
+
"cond_check_badwords": False,
|
508 |
+
"badwords_max_cutoff": 0.2,
|
509 |
+
"cond_check_lang_id": True,
|
510 |
+
"lang_id_min_cutoff": 0.75,
|
511 |
+
"cond_check_perplexity": True,
|
512 |
+
"perplexity_max_cutoff": 1600000,
|
513 |
+
}
|
514 |
+
|
515 |
+
parameters_filtering_mr = {
|
516 |
+
"cond_uniform_whitespace": True,
|
517 |
+
"cond_replace_unicode_punctuation": False,
|
518 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
519 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
520 |
+
"cond_remove_long_words": True,
|
521 |
+
"length_word_max_cutoff": 30,
|
522 |
+
"cond_check_number_words": True,
|
523 |
+
"tokenization": False,
|
524 |
+
"strip_characters": special_characters_default,
|
525 |
+
"number_words_min_cutoff": 1,
|
526 |
+
"number_words_max_cutoff": 100000,
|
527 |
+
"check_repetitions_removal": True,
|
528 |
+
"repetitions_length": 10,
|
529 |
+
"repetitions_max_cutoff": 0.106,
|
530 |
+
"cond_check_special_characters": True,
|
531 |
+
"special_characters": special_characters_default,
|
532 |
+
"special_characters_max_cutoff": 0.25,
|
533 |
+
"cond_words_augmentation": False,
|
534 |
+
"words_augmentation_group_sizes": [],
|
535 |
+
"words_augmentation_join_char": "",
|
536 |
+
"cond_check_stopwords": True,
|
537 |
+
"stopwords_min_cutoff": 0,
|
538 |
+
"cond_check_badwords": False,
|
539 |
+
"badwords_max_cutoff": 0.2,
|
540 |
+
"cond_check_lang_id": True,
|
541 |
+
"lang_id_min_cutoff": 0.75,
|
542 |
+
"cond_check_perplexity": True,
|
543 |
+
"perplexity_max_cutoff": 425000,
|
544 |
+
}
|
545 |
+
|
546 |
+
parameters_filtering_pt = {
|
547 |
+
"cond_uniform_whitespace": True,
|
548 |
+
"cond_replace_unicode_punctuation": False,
|
549 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
550 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
551 |
+
"cond_remove_long_words": True,
|
552 |
+
"length_word_max_cutoff": 30,
|
553 |
+
"cond_check_number_words": True,
|
554 |
+
"tokenization": False,
|
555 |
+
"strip_characters": special_characters_default,
|
556 |
+
"number_words_min_cutoff": 1,
|
557 |
+
"number_words_max_cutoff": 100000,
|
558 |
+
"check_repetitions_removal": True,
|
559 |
+
"repetitions_length": 10,
|
560 |
+
"repetitions_max_cutoff": 0.106,
|
561 |
+
"cond_check_special_characters": True,
|
562 |
+
"special_characters": special_characters_default,
|
563 |
+
"special_characters_max_cutoff": 0.3,
|
564 |
+
"cond_words_augmentation": False,
|
565 |
+
"words_augmentation_group_sizes": [],
|
566 |
+
"words_augmentation_join_char": "",
|
567 |
+
"cond_check_stopwords": True,
|
568 |
+
"stopwords_min_cutoff": 0.15,
|
569 |
+
"cond_check_badwords": False,
|
570 |
+
"badwords_max_cutoff": 0.2,
|
571 |
+
"cond_check_lang_id": True,
|
572 |
+
"lang_id_min_cutoff": 0.75,
|
573 |
+
"cond_check_perplexity": True,
|
574 |
+
"perplexity_max_cutoff": 3000000,
|
575 |
+
}
|
576 |
+
|
577 |
+
parameters_filtering_so = {
|
578 |
+
"cond_uniform_whitespace": True,
|
579 |
+
"cond_replace_unicode_punctuation": False,
|
580 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
581 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
582 |
+
"cond_remove_long_words": False,
|
583 |
+
"length_word_max_cutoff": 1000,
|
584 |
+
"cond_check_number_words": True,
|
585 |
+
"tokenization": False,
|
586 |
+
"strip_characters": special_characters_default,
|
587 |
+
"number_words_min_cutoff": 1,
|
588 |
+
"number_words_max_cutoff": 100000,
|
589 |
+
"check_repetitions_removal": True,
|
590 |
+
"repetitions_length": 10,
|
591 |
+
"repetitions_max_cutoff": 0.106,
|
592 |
+
"cond_check_special_characters": True,
|
593 |
+
"special_characters": special_characters_default,
|
594 |
+
"special_characters_max_cutoff": 0.3,
|
595 |
+
"cond_words_augmentation": False,
|
596 |
+
"words_augmentation_group_sizes": [],
|
597 |
+
"words_augmentation_join_char": "",
|
598 |
+
"cond_check_stopwords": False,
|
599 |
+
"stopwords_min_cutoff": 0,
|
600 |
+
"cond_check_badwords": False,
|
601 |
+
"badwords_max_cutoff": 0.2,
|
602 |
+
"cond_check_lang_id": True,
|
603 |
+
"lang_id_min_cutoff": 0.75,
|
604 |
+
"cond_check_perplexity": False,
|
605 |
+
"perplexity_max_cutoff": 3000000,
|
606 |
+
}
|
607 |
+
|
608 |
+
parameters_filtering_sw = {
|
609 |
+
"cond_uniform_whitespace": True,
|
610 |
+
"cond_replace_unicode_punctuation": False,
|
611 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
612 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
613 |
+
"cond_remove_long_words": True,
|
614 |
+
"length_word_max_cutoff": 30,
|
615 |
+
"cond_check_number_words": True,
|
616 |
+
"tokenization": False,
|
617 |
+
"strip_characters": special_characters_default,
|
618 |
+
"number_words_min_cutoff": 1,
|
619 |
+
"number_words_max_cutoff": 100000,
|
620 |
+
"check_repetitions_removal": True,
|
621 |
+
"repetitions_length": 10,
|
622 |
+
"repetitions_max_cutoff": 0.106,
|
623 |
+
"cond_check_special_characters": True,
|
624 |
+
"special_characters": special_characters_default,
|
625 |
+
"special_characters_max_cutoff": 0.275,
|
626 |
+
"cond_words_augmentation": False,
|
627 |
+
"words_augmentation_group_sizes": [],
|
628 |
+
"words_augmentation_join_char": "",
|
629 |
+
"cond_check_stopwords": True,
|
630 |
+
"stopwords_min_cutoff": 0,
|
631 |
+
"cond_check_badwords": False,
|
632 |
+
"badwords_max_cutoff": 0.2,
|
633 |
+
"cond_check_lang_id": True,
|
634 |
+
"lang_id_min_cutoff": 0.75,
|
635 |
+
"cond_check_perplexity": False,
|
636 |
+
"perplexity_max_cutoff": 3000000,
|
637 |
+
}
|
638 |
+
|
639 |
+
parameters_filtering_ta = {
|
640 |
+
"cond_uniform_whitespace": True,
|
641 |
+
"cond_replace_unicode_punctuation": False,
|
642 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
643 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
644 |
+
"cond_remove_long_words": True,
|
645 |
+
"length_word_max_cutoff": 50,
|
646 |
+
"cond_check_number_words": True,
|
647 |
+
"tokenization": False,
|
648 |
+
"strip_characters": special_characters_default,
|
649 |
+
"number_words_min_cutoff": 1,
|
650 |
+
"number_words_max_cutoff": 100000,
|
651 |
+
"check_repetitions_removal": True,
|
652 |
+
"repetitions_length": 10,
|
653 |
+
"repetitions_max_cutoff": 0.106,
|
654 |
+
"cond_check_special_characters": True,
|
655 |
+
"special_characters": special_characters_default,
|
656 |
+
"special_characters_max_cutoff": 0.25,
|
657 |
+
"cond_words_augmentation": False,
|
658 |
+
"words_augmentation_group_sizes": [],
|
659 |
+
"words_augmentation_join_char": "",
|
660 |
+
"cond_check_stopwords": True,
|
661 |
+
"stopwords_min_cutoff": 0,
|
662 |
+
"cond_check_badwords": False,
|
663 |
+
"badwords_max_cutoff": 0.2,
|
664 |
+
"cond_check_lang_id": True,
|
665 |
+
"lang_id_min_cutoff": 0.75,
|
666 |
+
"cond_check_perplexity": False,
|
667 |
+
"perplexity_max_cutoff": 3000000,
|
668 |
+
}
|
669 |
+
|
670 |
+
parameters_filtering_te = {
|
671 |
+
"cond_uniform_whitespace": True,
|
672 |
+
"cond_replace_unicode_punctuation": False,
|
673 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
674 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
675 |
+
"cond_remove_long_words": True,
|
676 |
+
"length_word_max_cutoff": 35,
|
677 |
+
"cond_check_number_words": True,
|
678 |
+
"tokenization": False,
|
679 |
+
"strip_characters": special_characters_default,
|
680 |
+
"number_words_min_cutoff": 1,
|
681 |
+
"number_words_max_cutoff": 100000,
|
682 |
+
"check_repetitions_removal": True,
|
683 |
+
"repetitions_length": 10,
|
684 |
+
"repetitions_max_cutoff": 0.106,
|
685 |
+
"cond_check_special_characters": True,
|
686 |
+
"special_characters": special_characters_default,
|
687 |
+
"special_characters_max_cutoff": 0.25,
|
688 |
+
"cond_words_augmentation": False,
|
689 |
+
"words_augmentation_group_sizes": [],
|
690 |
+
"words_augmentation_join_char": "",
|
691 |
+
"cond_check_stopwords": True,
|
692 |
+
"stopwords_min_cutoff": 0,
|
693 |
+
"cond_check_badwords": False,
|
694 |
+
"badwords_max_cutoff": 0.2,
|
695 |
+
"cond_check_lang_id": True,
|
696 |
+
"lang_id_min_cutoff": 0.75,
|
697 |
+
"cond_check_perplexity": False,
|
698 |
+
"perplexity_max_cutoff": 3000000,
|
699 |
+
}
|
700 |
+
|
701 |
+
parameters_filtering_ur = {
|
702 |
+
"cond_uniform_whitespace": True,
|
703 |
+
"cond_replace_unicode_punctuation": False,
|
704 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
705 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
706 |
+
"cond_remove_long_words": True,
|
707 |
+
"length_word_max_cutoff": 30,
|
708 |
+
"cond_check_number_words": True,
|
709 |
+
"tokenization": False,
|
710 |
+
"strip_characters": special_characters_default,
|
711 |
+
"number_words_min_cutoff": 1,
|
712 |
+
"number_words_max_cutoff": 100000,
|
713 |
+
"check_repetitions_removal": True,
|
714 |
+
"repetitions_length": 10,
|
715 |
+
"repetitions_max_cutoff": 0.106,
|
716 |
+
"cond_check_special_characters": True,
|
717 |
+
"special_characters": special_characters_default,
|
718 |
+
"special_characters_max_cutoff": 0.4,
|
719 |
+
"cond_words_augmentation": False,
|
720 |
+
"words_augmentation_group_sizes": [],
|
721 |
+
"words_augmentation_join_char": "",
|
722 |
+
"cond_check_stopwords": True,
|
723 |
+
"stopwords_min_cutoff": 0,
|
724 |
+
"cond_check_badwords": False,
|
725 |
+
"badwords_max_cutoff": 0.2,
|
726 |
+
"cond_check_lang_id": True,
|
727 |
+
"lang_id_min_cutoff": 0.75,
|
728 |
+
"cond_check_perplexity": False,
|
729 |
+
"perplexity_max_cutoff": 3000000,
|
730 |
+
}
|
731 |
+
|
732 |
+
parameters_filtering_vi = {
|
733 |
+
"cond_uniform_whitespace": True,
|
734 |
+
"cond_replace_unicode_punctuation": False,
|
735 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
736 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
737 |
+
"cond_remove_long_words": True,
|
738 |
+
"length_word_max_cutoff": 30,
|
739 |
+
"cond_check_number_words": True,
|
740 |
+
"tokenization": False,
|
741 |
+
"strip_characters": special_characters_default,
|
742 |
+
"number_words_min_cutoff": 1,
|
743 |
+
"number_words_max_cutoff": 100000,
|
744 |
+
"check_repetitions_removal": True,
|
745 |
+
"repetitions_length": 10,
|
746 |
+
"repetitions_max_cutoff": 0.106,
|
747 |
+
"cond_check_special_characters": True,
|
748 |
+
"special_characters": special_characters_default,
|
749 |
+
"special_characters_max_cutoff": 0.35,
|
750 |
+
"cond_words_augmentation": True,
|
751 |
+
"words_augmentation_group_sizes": [2, 3],
|
752 |
+
"words_augmentation_join_char": " ",
|
753 |
+
"cond_check_stopwords": True,
|
754 |
+
"stopwords_min_cutoff": 0,
|
755 |
+
"cond_check_badwords": False,
|
756 |
+
"badwords_max_cutoff": 0.2,
|
757 |
+
"cond_check_lang_id": True,
|
758 |
+
"lang_id_min_cutoff": 0.75,
|
759 |
+
"cond_check_perplexity": False,
|
760 |
+
"perplexity_max_cutoff": 3000000,
|
761 |
+
}
|
762 |
+
|
763 |
+
parameters_filtering_yo = {
|
764 |
+
"cond_uniform_whitespace": True,
|
765 |
+
"cond_replace_unicode_punctuation": False,
|
766 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
767 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
768 |
+
"cond_remove_long_words": True,
|
769 |
+
"length_word_max_cutoff": 30,
|
770 |
+
"cond_check_number_words": True,
|
771 |
+
"tokenization": False,
|
772 |
+
"strip_characters": special_characters_default,
|
773 |
+
"number_words_min_cutoff": 1,
|
774 |
+
"number_words_max_cutoff": 100000,
|
775 |
+
"check_repetitions_removal": True,
|
776 |
+
"repetitions_length": 10,
|
777 |
+
"repetitions_max_cutoff": 0.106,
|
778 |
+
"cond_check_special_characters": True,
|
779 |
+
"special_characters": special_characters_default,
|
780 |
+
"special_characters_max_cutoff": 0.3,
|
781 |
+
"cond_words_augmentation": False,
|
782 |
+
"words_augmentation_group_sizes": [],
|
783 |
+
"words_augmentation_join_char": "",
|
784 |
+
"cond_check_stopwords": True,
|
785 |
+
"stopwords_min_cutoff": 0,
|
786 |
+
"cond_check_badwords": False,
|
787 |
+
"badwords_max_cutoff": 0.2,
|
788 |
+
"cond_check_lang_id": True,
|
789 |
+
"lang_id_min_cutoff": 0.75,
|
790 |
+
"cond_check_perplexity": False,
|
791 |
+
"perplexity_max_cutoff": 3000000,
|
792 |
+
}
|
793 |
+
|
794 |
+
parameters_filtering_zh = {
|
795 |
+
"cond_uniform_whitespace": True,
|
796 |
+
"cond_replace_unicode_punctuation": False,
|
797 |
+
"cond_remove_words_with_incorrect_substrings": False,
|
798 |
+
"incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
|
799 |
+
"cond_remove_long_words": False,
|
800 |
+
"length_word_max_cutoff": 1000,
|
801 |
+
"cond_check_number_words": True,
|
802 |
+
"tokenization": True,
|
803 |
+
"strip_characters": special_characters_default,
|
804 |
+
"number_words_min_cutoff": 1,
|
805 |
+
"number_words_max_cutoff": 100000,
|
806 |
+
"check_repetitions_removal": True,
|
807 |
+
"repetitions_length": 10,
|
808 |
+
"repetitions_max_cutoff": 0.106,
|
809 |
+
"cond_check_special_characters": True,
|
810 |
+
"special_characters": special_characters_default,
|
811 |
+
"special_characters_max_cutoff": 0.4,
|
812 |
+
"cond_words_augmentation": True,
|
813 |
+
"words_augmentation_group_sizes": [2, 3],
|
814 |
+
"words_augmentation_join_char": "",
|
815 |
+
"cond_check_stopwords": False,
|
816 |
+
"stopwords_min_cutoff": 0,
|
817 |
+
"cond_check_badwords": False,
|
818 |
+
"badwords_max_cutoff": 0.2,
|
819 |
+
"cond_check_lang_id": True,
|
820 |
+
"lang_id_min_cutoff": 0.75,
|
821 |
+
"cond_check_perplexity": False,
|
822 |
+
"perplexity_max_cutoff": 3000000,
|
823 |
+
}
|
824 |
+
|
825 |
+
parameters_filtering = {
|
826 |
+
"default": parameters_filtering_default,
|
827 |
+
"af": parameters_filtering_af,
|
828 |
+
"ar": parameters_filtering_ar,
|
829 |
+
"arz": parameters_filtering_arz,
|
830 |
+
"as": parameters_filtering_as,
|
831 |
+
"bn": parameters_filtering_bn,
|
832 |
+
"ca": parameters_filtering_ca,
|
833 |
+
"en": parameters_filtering_en,
|
834 |
+
"es": parameters_filtering_es,
|
835 |
+
"eu": parameters_filtering_eu,
|
836 |
+
"fr": parameters_filtering_fr,
|
837 |
+
"gu": parameters_filtering_gu,
|
838 |
+
"hi": parameters_filtering_hi,
|
839 |
+
"id": parameters_filtering_id,
|
840 |
+
"kn": parameters_filtering_kn,
|
841 |
+
"ml": parameters_filtering_ml,
|
842 |
+
"mr": parameters_filtering_mr,
|
843 |
+
"pt": parameters_filtering_pt,
|
844 |
+
"so": parameters_filtering_so,
|
845 |
+
"sw": parameters_filtering_sw,
|
846 |
+
"ta": parameters_filtering_ta,
|
847 |
+
"te": parameters_filtering_te,
|
848 |
+
"ur": parameters_filtering_ur,
|
849 |
+
"vi": parameters_filtering_vi,
|
850 |
+
"yo": parameters_filtering_yo,
|
851 |
+
"zh": parameters_filtering_zh,
|
852 |
+
}
|
stopwords.py
ADDED
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See raw diff
|
|