Upload tokenizer.py
Browse files- tokenizer.py +907 -0
tokenizer.py
ADDED
@@ -0,0 +1,907 @@
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1 |
+
import logging
|
2 |
+
import os
|
3 |
+
import re
|
4 |
+
import textwrap
|
5 |
+
from functools import cached_property
|
6 |
+
|
7 |
+
import torch
|
8 |
+
from num2words import num2words
|
9 |
+
from spacy.lang.ar import Arabic
|
10 |
+
from spacy.lang.ar import Arabic
|
11 |
+
from spacy.lang.en import English
|
12 |
+
from spacy.lang.es import Spanish
|
13 |
+
from spacy.lang.hi import Hindi
|
14 |
+
from spacy.lang.ja import Japanese
|
15 |
+
from spacy.lang.zh import Chinese
|
16 |
+
from tokenizers import Tokenizer
|
17 |
+
|
18 |
+
from TTS.tts.layers.xtts.zh_num2words import TextNorm as zh_num2words
|
19 |
+
from TTS.tts.utils.text.cleaners import collapse_whitespace, lowercase
|
20 |
+
|
21 |
+
logger = logging.getLogger(__name__)
|
22 |
+
|
23 |
+
|
24 |
+
def get_spacy_lang(lang):
|
25 |
+
"""Return Spacy language used for sentence splitting."""
|
26 |
+
if lang == "zh":
|
27 |
+
return Chinese()
|
28 |
+
elif lang == "ja":
|
29 |
+
return Japanese()
|
30 |
+
elif lang == "ar":
|
31 |
+
return Arabic()
|
32 |
+
elif lang == "ur":
|
33 |
+
return Urdu()
|
34 |
+
elif lang == "es":
|
35 |
+
return Spanish()
|
36 |
+
elif lang == "hi":
|
37 |
+
return Hindi()
|
38 |
+
else:
|
39 |
+
# For most languages, English does the job
|
40 |
+
return English()
|
41 |
+
|
42 |
+
|
43 |
+
def split_sentence(text, lang, text_split_length=250):
|
44 |
+
"""Preprocess the input text"""
|
45 |
+
text_splits = []
|
46 |
+
if text_split_length is not None and len(text) >= text_split_length:
|
47 |
+
text_splits.append("")
|
48 |
+
nlp = get_spacy_lang(lang)
|
49 |
+
nlp.add_pipe("sentencizer")
|
50 |
+
doc = nlp(text)
|
51 |
+
for sentence in doc.sents:
|
52 |
+
if len(text_splits[-1]) + len(str(sentence)) <= text_split_length:
|
53 |
+
# if the last sentence + the current sentence is less than the text_split_length
|
54 |
+
# then add the current sentence to the last sentence
|
55 |
+
text_splits[-1] += " " + str(sentence)
|
56 |
+
text_splits[-1] = text_splits[-1].lstrip()
|
57 |
+
elif len(str(sentence)) > text_split_length:
|
58 |
+
# if the current sentence is greater than the text_split_length
|
59 |
+
for line in textwrap.wrap(
|
60 |
+
str(sentence),
|
61 |
+
width=text_split_length,
|
62 |
+
drop_whitespace=True,
|
63 |
+
break_on_hyphens=False,
|
64 |
+
tabsize=1,
|
65 |
+
):
|
66 |
+
text_splits.append(str(line))
|
67 |
+
else:
|
68 |
+
text_splits.append(str(sentence))
|
69 |
+
|
70 |
+
if len(text_splits) > 1:
|
71 |
+
if text_splits[0] == "":
|
72 |
+
del text_splits[0]
|
73 |
+
else:
|
74 |
+
text_splits = [text.lstrip()]
|
75 |
+
|
76 |
+
return text_splits
|
77 |
+
|
78 |
+
|
79 |
+
# List of (regular expression, replacement) pairs for abbreviations:
|
80 |
+
_abbreviations = {
|
81 |
+
"en": [
|
82 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
83 |
+
for x in [
|
84 |
+
("mrs", "misess"),
|
85 |
+
("mr", "mister"),
|
86 |
+
("dr", "doctor"),
|
87 |
+
("st", "saint"),
|
88 |
+
("co", "company"),
|
89 |
+
("jr", "junior"),
|
90 |
+
("maj", "major"),
|
91 |
+
("gen", "general"),
|
92 |
+
("drs", "doctors"),
|
93 |
+
("rev", "reverend"),
|
94 |
+
("lt", "lieutenant"),
|
95 |
+
("hon", "honorable"),
|
96 |
+
("sgt", "sergeant"),
|
97 |
+
("capt", "captain"),
|
98 |
+
("esq", "esquire"),
|
99 |
+
("ltd", "limited"),
|
100 |
+
("col", "colonel"),
|
101 |
+
("ft", "fort"),
|
102 |
+
]
|
103 |
+
],
|
104 |
+
"es": [
|
105 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
106 |
+
for x in [
|
107 |
+
("sra", "señora"),
|
108 |
+
("sr", "señor"),
|
109 |
+
("dr", "doctor"),
|
110 |
+
("dra", "doctora"),
|
111 |
+
("st", "santo"),
|
112 |
+
("co", "compañía"),
|
113 |
+
("jr", "junior"),
|
114 |
+
("ltd", "limitada"),
|
115 |
+
]
|
116 |
+
],
|
117 |
+
"fr": [
|
118 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
119 |
+
for x in [
|
120 |
+
("mme", "madame"),
|
121 |
+
("mr", "monsieur"),
|
122 |
+
("dr", "docteur"),
|
123 |
+
("st", "saint"),
|
124 |
+
("co", "compagnie"),
|
125 |
+
("jr", "junior"),
|
126 |
+
("ltd", "limitée"),
|
127 |
+
]
|
128 |
+
],
|
129 |
+
"de": [
|
130 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
131 |
+
for x in [
|
132 |
+
("fr", "frau"),
|
133 |
+
("dr", "doktor"),
|
134 |
+
("st", "sankt"),
|
135 |
+
("co", "firma"),
|
136 |
+
("jr", "junior"),
|
137 |
+
]
|
138 |
+
],
|
139 |
+
"pt": [
|
140 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
141 |
+
for x in [
|
142 |
+
("sra", "senhora"),
|
143 |
+
("sr", "senhor"),
|
144 |
+
("dr", "doutor"),
|
145 |
+
("dra", "doutora"),
|
146 |
+
("st", "santo"),
|
147 |
+
("co", "companhia"),
|
148 |
+
("jr", "júnior"),
|
149 |
+
("ltd", "limitada"),
|
150 |
+
]
|
151 |
+
],
|
152 |
+
"it": [
|
153 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
154 |
+
for x in [
|
155 |
+
# ("sig.ra", "signora"),
|
156 |
+
("sig", "signore"),
|
157 |
+
("dr", "dottore"),
|
158 |
+
("st", "santo"),
|
159 |
+
("co", "compagnia"),
|
160 |
+
("jr", "junior"),
|
161 |
+
("ltd", "limitata"),
|
162 |
+
]
|
163 |
+
],
|
164 |
+
"pl": [
|
165 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
166 |
+
for x in [
|
167 |
+
("p", "pani"),
|
168 |
+
("m", "pan"),
|
169 |
+
("dr", "doktor"),
|
170 |
+
("sw", "święty"),
|
171 |
+
("jr", "junior"),
|
172 |
+
]
|
173 |
+
],
|
174 |
+
"ar": [
|
175 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
176 |
+
for x in [
|
177 |
+
# There are not many common abbreviations in Arabic as in English.
|
178 |
+
]
|
179 |
+
],
|
180 |
+
"ur": [
|
181 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
182 |
+
for x in [
|
183 |
+
# There are not many common abbreviations in Arabic as in English.
|
184 |
+
]
|
185 |
+
],
|
186 |
+
|
187 |
+
"zh": [
|
188 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
189 |
+
for x in [
|
190 |
+
# Chinese doesn't typically use abbreviations in the same way as Latin-based scripts.
|
191 |
+
]
|
192 |
+
],
|
193 |
+
"cs": [
|
194 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
195 |
+
for x in [
|
196 |
+
("dr", "doktor"), # doctor
|
197 |
+
("ing", "inženýr"), # engineer
|
198 |
+
("p", "pan"), # Could also map to pani for woman but no easy way to do it
|
199 |
+
# Other abbreviations would be specialized and not as common.
|
200 |
+
]
|
201 |
+
],
|
202 |
+
"ru": [
|
203 |
+
(re.compile("\\b%s\\b" % x[0], re.IGNORECASE), x[1])
|
204 |
+
for x in [
|
205 |
+
("г-жа", "госпожа"), # Mrs.
|
206 |
+
("г-н", "господин"), # Mr.
|
207 |
+
("д-р", "доктор"), # doctor
|
208 |
+
# Other abbreviations are less common or specialized.
|
209 |
+
]
|
210 |
+
],
|
211 |
+
"nl": [
|
212 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
213 |
+
for x in [
|
214 |
+
("dhr", "de heer"), # Mr.
|
215 |
+
("mevr", "mevrouw"), # Mrs.
|
216 |
+
("dr", "dokter"), # doctor
|
217 |
+
("jhr", "jonkheer"), # young lord or nobleman
|
218 |
+
# Dutch uses more abbreviations, but these are the most common ones.
|
219 |
+
]
|
220 |
+
],
|
221 |
+
"tr": [
|
222 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
223 |
+
for x in [
|
224 |
+
("b", "bay"), # Mr.
|
225 |
+
("byk", "büyük"), # büyük
|
226 |
+
("dr", "doktor"), # doctor
|
227 |
+
# Add other Turkish abbreviations here if needed.
|
228 |
+
]
|
229 |
+
],
|
230 |
+
"hu": [
|
231 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
232 |
+
for x in [
|
233 |
+
("dr", "doktor"), # doctor
|
234 |
+
("b", "bácsi"), # Mr.
|
235 |
+
("nőv", "nővér"), # nurse
|
236 |
+
# Add other Hungarian abbreviations here if needed.
|
237 |
+
]
|
238 |
+
],
|
239 |
+
"ko": [
|
240 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
241 |
+
for x in [
|
242 |
+
# Korean doesn't typically use abbreviations in the same way as Latin-based scripts.
|
243 |
+
]
|
244 |
+
],
|
245 |
+
"hi": [
|
246 |
+
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
247 |
+
for x in [
|
248 |
+
# Hindi doesn't typically use abbreviations in the same way as Latin-based scripts.
|
249 |
+
]
|
250 |
+
],
|
251 |
+
}
|
252 |
+
|
253 |
+
|
254 |
+
def expand_abbreviations_multilingual(text, lang="en"):
|
255 |
+
for regex, replacement in _abbreviations[lang]:
|
256 |
+
text = re.sub(regex, replacement, text)
|
257 |
+
return text
|
258 |
+
|
259 |
+
|
260 |
+
_symbols_multilingual = {
|
261 |
+
"en": [
|
262 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
263 |
+
for x in [
|
264 |
+
("&", " and "),
|
265 |
+
("@", " at "),
|
266 |
+
("%", " percent "),
|
267 |
+
("#", " hash "),
|
268 |
+
("$", " dollar "),
|
269 |
+
("£", " pound "),
|
270 |
+
("°", " degree "),
|
271 |
+
]
|
272 |
+
],
|
273 |
+
"es": [
|
274 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
275 |
+
for x in [
|
276 |
+
("&", " y "),
|
277 |
+
("@", " arroba "),
|
278 |
+
("%", " por ciento "),
|
279 |
+
("#", " numeral "),
|
280 |
+
("$", " dolar "),
|
281 |
+
("£", " libra "),
|
282 |
+
("°", " grados "),
|
283 |
+
]
|
284 |
+
],
|
285 |
+
"fr": [
|
286 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
287 |
+
for x in [
|
288 |
+
("&", " et "),
|
289 |
+
("@", " arobase "),
|
290 |
+
("%", " pour cent "),
|
291 |
+
("#", " dièse "),
|
292 |
+
("$", " dollar "),
|
293 |
+
("£", " livre "),
|
294 |
+
("°", " degrés "),
|
295 |
+
]
|
296 |
+
],
|
297 |
+
"de": [
|
298 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
299 |
+
for x in [
|
300 |
+
("&", " und "),
|
301 |
+
("@", " at "),
|
302 |
+
("%", " prozent "),
|
303 |
+
("#", " raute "),
|
304 |
+
("$", " dollar "),
|
305 |
+
("£", " pfund "),
|
306 |
+
("°", " grad "),
|
307 |
+
]
|
308 |
+
],
|
309 |
+
"pt": [
|
310 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
311 |
+
for x in [
|
312 |
+
("&", " e "),
|
313 |
+
("@", " arroba "),
|
314 |
+
("%", " por cento "),
|
315 |
+
("#", " cardinal "),
|
316 |
+
("$", " dólar "),
|
317 |
+
("£", " libra "),
|
318 |
+
("°", " graus "),
|
319 |
+
]
|
320 |
+
],
|
321 |
+
"it": [
|
322 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
323 |
+
for x in [
|
324 |
+
("&", " e "),
|
325 |
+
("@", " chiocciola "),
|
326 |
+
("%", " per cento "),
|
327 |
+
("#", " cancelletto "),
|
328 |
+
("$", " dollaro "),
|
329 |
+
("£", " sterlina "),
|
330 |
+
("°", " gradi "),
|
331 |
+
]
|
332 |
+
],
|
333 |
+
"pl": [
|
334 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
335 |
+
for x in [
|
336 |
+
("&", " i "),
|
337 |
+
("@", " małpa "),
|
338 |
+
("%", " procent "),
|
339 |
+
("#", " krzyżyk "),
|
340 |
+
("$", " dolar "),
|
341 |
+
("£", " funt "),
|
342 |
+
("°", " stopnie "),
|
343 |
+
]
|
344 |
+
],
|
345 |
+
"ar": [
|
346 |
+
# Arabic
|
347 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
348 |
+
for x in [
|
349 |
+
("&", " و "),
|
350 |
+
("@", " على "),
|
351 |
+
("%", " في المئة "),
|
352 |
+
("#", " رقم "),
|
353 |
+
("$", " دولار "),
|
354 |
+
("£", " جنيه "),
|
355 |
+
("°", " درجة "),
|
356 |
+
]
|
357 |
+
],
|
358 |
+
"ur": [
|
359 |
+
# Urdu symbol expansions
|
360 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
361 |
+
for x in [
|
362 |
+
("&", " اور "),
|
363 |
+
("@", " پر "),
|
364 |
+
("%", " فیصد "),
|
365 |
+
("#", " ہیش "),
|
366 |
+
("$", " ڈالر "),
|
367 |
+
("£", " پاؤنڈ "),
|
368 |
+
("°", " ڈگری "),
|
369 |
+
("*", " ستارہ "),
|
370 |
+
("@", " ای میل "),
|
371 |
+
("!", " اچھا "),
|
372 |
+
]
|
373 |
+
],
|
374 |
+
|
375 |
+
"zh": [
|
376 |
+
# Chinese
|
377 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
378 |
+
for x in [
|
379 |
+
("&", " 和 "),
|
380 |
+
("@", " 在 "),
|
381 |
+
("%", " 百分之 "),
|
382 |
+
("#", " 号 "),
|
383 |
+
("$", " 美元 "),
|
384 |
+
("£", " 英镑 "),
|
385 |
+
("°", " 度 "),
|
386 |
+
]
|
387 |
+
],
|
388 |
+
"cs": [
|
389 |
+
# Czech
|
390 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
391 |
+
for x in [
|
392 |
+
("&", " a "),
|
393 |
+
("@", " na "),
|
394 |
+
("%", " procento "),
|
395 |
+
("#", " křížek "),
|
396 |
+
("$", " dolar "),
|
397 |
+
("£", " libra "),
|
398 |
+
("°", " stupně "),
|
399 |
+
]
|
400 |
+
],
|
401 |
+
"ru": [
|
402 |
+
# Russian
|
403 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
404 |
+
for x in [
|
405 |
+
("&", " и "),
|
406 |
+
("@", " собака "),
|
407 |
+
("%", " процентов "),
|
408 |
+
("#", " номер "),
|
409 |
+
("$", " доллар "),
|
410 |
+
("£", " фунт "),
|
411 |
+
("°", " градус "),
|
412 |
+
]
|
413 |
+
],
|
414 |
+
"nl": [
|
415 |
+
# Dutch
|
416 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
417 |
+
for x in [
|
418 |
+
("&", " en "),
|
419 |
+
("@", " bij "),
|
420 |
+
("%", " procent "),
|
421 |
+
("#", " hekje "),
|
422 |
+
("$", " dollar "),
|
423 |
+
("£", " pond "),
|
424 |
+
("°", " graden "),
|
425 |
+
]
|
426 |
+
],
|
427 |
+
"tr": [
|
428 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
429 |
+
for x in [
|
430 |
+
("&", " ve "),
|
431 |
+
("@", " at "),
|
432 |
+
("%", " yüzde "),
|
433 |
+
("#", " diyez "),
|
434 |
+
("$", " dolar "),
|
435 |
+
("£", " sterlin "),
|
436 |
+
("°", " derece "),
|
437 |
+
]
|
438 |
+
],
|
439 |
+
"hu": [
|
440 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
441 |
+
for x in [
|
442 |
+
("&", " és "),
|
443 |
+
("@", " kukac "),
|
444 |
+
("%", " százalék "),
|
445 |
+
("#", " kettőskereszt "),
|
446 |
+
("$", " dollár "),
|
447 |
+
("£", " font "),
|
448 |
+
("°", " fok "),
|
449 |
+
]
|
450 |
+
],
|
451 |
+
"ko": [
|
452 |
+
# Korean
|
453 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
454 |
+
for x in [
|
455 |
+
("&", " 그리고 "),
|
456 |
+
("@", " 에 "),
|
457 |
+
("%", " 퍼센트 "),
|
458 |
+
("#", " 번호 "),
|
459 |
+
("$", " 달러 "),
|
460 |
+
("£", " 파운드 "),
|
461 |
+
("°", " 도 "),
|
462 |
+
]
|
463 |
+
],
|
464 |
+
"hi": [
|
465 |
+
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
|
466 |
+
for x in [
|
467 |
+
("&", " और "),
|
468 |
+
("@", " ऐट दी रेट "),
|
469 |
+
("%", " प्रतिशत "),
|
470 |
+
("#", " हैश "),
|
471 |
+
("$", " डॉलर "),
|
472 |
+
("£", " पाउंड "),
|
473 |
+
("°", " डिग्री "),
|
474 |
+
]
|
475 |
+
],
|
476 |
+
}
|
477 |
+
|
478 |
+
|
479 |
+
def expand_symbols_multilingual(text, lang="en"):
|
480 |
+
for regex, replacement in _symbols_multilingual[lang]:
|
481 |
+
text = re.sub(regex, replacement, text)
|
482 |
+
text = text.replace(" ", " ") # Ensure there are no double spaces
|
483 |
+
return text.strip()
|
484 |
+
|
485 |
+
|
486 |
+
_ordinal_re = {
|
487 |
+
"en": re.compile(r"([0-9]+)(st|nd|rd|th)"),
|
488 |
+
"es": re.compile(r"([0-9]+)(º|ª|er|o|a|os|as)"),
|
489 |
+
"fr": re.compile(r"([0-9]+)(º|ª|er|re|e|ème)"),
|
490 |
+
"de": re.compile(r"([0-9]+)(st|nd|rd|th|º|ª|\.(?=\s|$))"),
|
491 |
+
"pt": re.compile(r"([0-9]+)(º|ª|o|a|os|as)"),
|
492 |
+
"it": re.compile(r"([0-9]+)(º|°|ª|o|a|i|e)"),
|
493 |
+
"pl": re.compile(r"([0-9]+)(º|ª|st|nd|rd|th)"),
|
494 |
+
"ar": re.compile(r"([0-9]+)(ون|ين|ث|ر|ى)"),
|
495 |
+
"cs": re.compile(r"([0-9]+)\.(?=\s|$)"), # In Czech, a dot is often used after the number to indicate ordinals.
|
496 |
+
"ru": re.compile(r"([0-9]+)(-й|-я|-е|-ое|-ье|-го)"),
|
497 |
+
"nl": re.compile(r"([0-9]+)(de|ste|e)"),
|
498 |
+
"tr": re.compile(r"([0-9]+)(\.|inci|nci|uncu|üncü|\.)"),
|
499 |
+
"hu": re.compile(r"([0-9]+)(\.|adik|edik|odik|edik|ödik|ödike|ik)"),
|
500 |
+
"ko": re.compile(r"([0-9]+)(번째|번|차|째)"),
|
501 |
+
"hi": re.compile(r"([0-9]+)(st|nd|rd|th)"), # To check
|
502 |
+
"ur": re.compile(r"([0-9]+)(ون|ين|ث|ر|ى)"),
|
503 |
+
|
504 |
+
}
|
505 |
+
_number_re = re.compile(r"[0-9]+")
|
506 |
+
_currency_re = {
|
507 |
+
"USD": re.compile(r"((\$[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+\$))"),
|
508 |
+
"GBP": re.compile(r"((£[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+£))"),
|
509 |
+
"EUR": re.compile(r"(([0-9\.\,]*[0-9]+€)|((€[0-9\.\,]*[0-9]+)))"),
|
510 |
+
}
|
511 |
+
|
512 |
+
_comma_number_re = re.compile(r"\b\d{1,3}(,\d{3})*(\.\d+)?\b")
|
513 |
+
_dot_number_re = re.compile(r"\b\d{1,3}(.\d{3})*(\,\d+)?\b")
|
514 |
+
_decimal_number_re = re.compile(r"([0-9]+[.,][0-9]+)")
|
515 |
+
|
516 |
+
|
517 |
+
def _remove_commas(m):
|
518 |
+
text = m.group(0)
|
519 |
+
if "," in text:
|
520 |
+
text = text.replace(",", "")
|
521 |
+
return text
|
522 |
+
|
523 |
+
|
524 |
+
def _remove_dots(m):
|
525 |
+
text = m.group(0)
|
526 |
+
if "." in text:
|
527 |
+
text = text.replace(".", "")
|
528 |
+
return text
|
529 |
+
|
530 |
+
|
531 |
+
def _expand_decimal_point(m, lang="en"):
|
532 |
+
amount = m.group(1).replace(",", ".")
|
533 |
+
return num2words(float(amount), lang=lang if lang != "cs" else "cz")
|
534 |
+
|
535 |
+
|
536 |
+
def _expand_currency(m, lang="en", currency="USD"):
|
537 |
+
amount = float((re.sub(r"[^\d.]", "", m.group(0).replace(",", "."))))
|
538 |
+
full_amount = num2words(amount, to="currency", currency=currency, lang=lang if lang != "cs" else "cz")
|
539 |
+
|
540 |
+
and_equivalents = {
|
541 |
+
"en": ", ",
|
542 |
+
"es": " con ",
|
543 |
+
"fr": " et ",
|
544 |
+
"de": " und ",
|
545 |
+
"pt": " e ",
|
546 |
+
"it": " e ",
|
547 |
+
"pl": ", ",
|
548 |
+
"cs": ", ",
|
549 |
+
"ru": ", ",
|
550 |
+
"nl": ", ",
|
551 |
+
"ar": ", ",
|
552 |
+
"ur": ", ",
|
553 |
+
"tr": ", ",
|
554 |
+
"hu": ", ",
|
555 |
+
"ko": ", ",
|
556 |
+
"hi": ", ",
|
557 |
+
}
|
558 |
+
|
559 |
+
if amount.is_integer():
|
560 |
+
last_and = full_amount.rfind(and_equivalents[lang])
|
561 |
+
if last_and != -1:
|
562 |
+
full_amount = full_amount[:last_and]
|
563 |
+
|
564 |
+
return full_amount
|
565 |
+
|
566 |
+
|
567 |
+
def _expand_ordinal(m, lang="en"):
|
568 |
+
if lang!="ur":
|
569 |
+
return num2words(int(m.group(1)), ordinal=True, lang=lang if lang != "cs" else "cz")
|
570 |
+
else:
|
571 |
+
return m
|
572 |
+
|
573 |
+
|
574 |
+
def _expand_number(m, lang="en"):
|
575 |
+
if lang!="ur":
|
576 |
+
return num2words(int(m.group(1)), ordinal=True, lang=lang if lang != "cs" else "cz")
|
577 |
+
else:
|
578 |
+
return m
|
579 |
+
|
580 |
+
|
581 |
+
|
582 |
+
def expand_numbers_multilingual(text, lang="en"):
|
583 |
+
if lang == "zh":
|
584 |
+
text = zh_num2words()(text)
|
585 |
+
if lang == "ur":
|
586 |
+
text = text
|
587 |
+
else:
|
588 |
+
if lang in ["en", "ru"]:
|
589 |
+
text = re.sub(_comma_number_re, _remove_commas, text)
|
590 |
+
else:
|
591 |
+
text = re.sub(_dot_number_re, _remove_dots, text)
|
592 |
+
try:
|
593 |
+
text = re.sub(_currency_re["GBP"], lambda m: _expand_currency(m, lang, "GBP"), text)
|
594 |
+
text = re.sub(_currency_re["USD"], lambda m: _expand_currency(m, lang, "USD"), text)
|
595 |
+
text = re.sub(_currency_re["EUR"], lambda m: _expand_currency(m, lang, "EUR"), text)
|
596 |
+
except:
|
597 |
+
pass
|
598 |
+
if lang != "tr":
|
599 |
+
text = re.sub(_decimal_number_re, lambda m: _expand_decimal_point(m, lang), text)
|
600 |
+
text = re.sub(_ordinal_re[lang], lambda m: _expand_ordinal(m, lang), text)
|
601 |
+
text = re.sub(_number_re, lambda m: _expand_number(m, lang), text)
|
602 |
+
return text
|
603 |
+
|
604 |
+
def basic_cleaners(text):
|
605 |
+
text = lowercase(text)
|
606 |
+
return text
|
607 |
+
def multilingual_cleaners(text, lang):
|
608 |
+
text = text.replace('"', "")
|
609 |
+
if lang == "tr":
|
610 |
+
text = text.replace("İ", "i")
|
611 |
+
text = text.replace("Ö", "ö")
|
612 |
+
text = text.replace("Ü", "ü")
|
613 |
+
text = lowercase(text)
|
614 |
+
text = expand_numbers_multilingual(text, lang)
|
615 |
+
text = expand_abbreviations_multilingual(text, lang)
|
616 |
+
text = expand_symbols_multilingual(text, lang=lang)
|
617 |
+
text = collapse_whitespace(text)
|
618 |
+
return text
|
619 |
+
|
620 |
+
|
621 |
+
def chinese_transliterate(text):
|
622 |
+
try:
|
623 |
+
import pypinyin
|
624 |
+
except ImportError as e:
|
625 |
+
raise ImportError("Chinese requires: pypinyin") from e
|
626 |
+
return "".join(
|
627 |
+
[p[0] for p in pypinyin.pinyin(text, style=pypinyin.Style.TONE3, heteronym=False, neutral_tone_with_five=True)]
|
628 |
+
)
|
629 |
+
|
630 |
+
|
631 |
+
def japanese_cleaners(text, katsu):
|
632 |
+
text = katsu.romaji(text)
|
633 |
+
text = lowercase(text)
|
634 |
+
return text
|
635 |
+
|
636 |
+
|
637 |
+
def korean_transliterate(text):
|
638 |
+
try:
|
639 |
+
from hangul_romanize import Transliter
|
640 |
+
from hangul_romanize.rule import academic
|
641 |
+
except ImportError as e:
|
642 |
+
raise ImportError("Korean requires: hangul_romanize") from e
|
643 |
+
r = Transliter(academic)
|
644 |
+
return r.translit(text)
|
645 |
+
|
646 |
+
|
647 |
+
DEFAULT_VOCAB_FILE = os.path.join(os.path.dirname(os.path.realpath(__file__)), "../data/tokenizer.json")
|
648 |
+
|
649 |
+
|
650 |
+
class VoiceBpeTokenizer:
|
651 |
+
def __init__(self, vocab_file=None):
|
652 |
+
self.tokenizer = None
|
653 |
+
if vocab_file is not None:
|
654 |
+
self.tokenizer = Tokenizer.from_file(vocab_file)
|
655 |
+
self.char_limits = {
|
656 |
+
"en": 250,
|
657 |
+
"de": 253,
|
658 |
+
"fr": 273,
|
659 |
+
"es": 239,
|
660 |
+
"it": 213,
|
661 |
+
"pt": 203,
|
662 |
+
"pl": 224,
|
663 |
+
"zh": 82,
|
664 |
+
"ar": 166,
|
665 |
+
"cs": 186,
|
666 |
+
"ru": 182,
|
667 |
+
"nl": 251,
|
668 |
+
"tr": 226,
|
669 |
+
"ja": 71,
|
670 |
+
"hu": 224,
|
671 |
+
"ko": 95,
|
672 |
+
"hi": 150,
|
673 |
+
"ur": 150,
|
674 |
+
|
675 |
+
}
|
676 |
+
|
677 |
+
@cached_property
|
678 |
+
def katsu(self):
|
679 |
+
import cutlet
|
680 |
+
|
681 |
+
return cutlet.Cutlet()
|
682 |
+
|
683 |
+
def check_input_length(self, txt, lang):
|
684 |
+
lang = lang.split("-")[0] # remove the region
|
685 |
+
limit = self.char_limits.get(lang, 250)
|
686 |
+
if len(txt) > limit:
|
687 |
+
logger.warning(
|
688 |
+
"The text length exceeds the character limit of %d for language '%s', this might cause truncated audio.",
|
689 |
+
limit,
|
690 |
+
lang,
|
691 |
+
)
|
692 |
+
|
693 |
+
def preprocess_text(self, txt, lang):
|
694 |
+
if lang in {"ar", "cs", "de", "en", "es", "fr", "hi", "hu", "it", "nl", "pl", "pt", "ru", "tr", "zh", "ko","ur"}:
|
695 |
+
txt = multilingual_cleaners(txt, lang)
|
696 |
+
if lang == "zh":
|
697 |
+
txt = chinese_transliterate(txt)
|
698 |
+
if lang == "ko":
|
699 |
+
txt = korean_transliterate(txt)
|
700 |
+
elif lang == "ja":
|
701 |
+
txt = japanese_cleaners(txt, self.katsu)
|
702 |
+
else:
|
703 |
+
raise NotImplementedError(f"Language '{lang}' is not supported.")
|
704 |
+
return txt
|
705 |
+
|
706 |
+
def encode(self, txt, lang):
|
707 |
+
lang = lang.split("-")[0] # remove the region
|
708 |
+
self.check_input_length(txt, lang)
|
709 |
+
txt = self.preprocess_text(txt, lang)
|
710 |
+
lang = "zh-cn" if lang == "zh" else lang
|
711 |
+
txt = f"[{lang}]{txt}"
|
712 |
+
txt = txt.replace(" ", "[SPACE]")
|
713 |
+
return self.tokenizer.encode(txt).ids
|
714 |
+
|
715 |
+
def decode(self, seq):
|
716 |
+
if isinstance(seq, torch.Tensor):
|
717 |
+
seq = seq.cpu().numpy()
|
718 |
+
txt = self.tokenizer.decode(seq, skip_special_tokens=False).replace(" ", "")
|
719 |
+
txt = txt.replace("[SPACE]", " ")
|
720 |
+
txt = txt.replace("[STOP]", "")
|
721 |
+
txt = txt.replace("[UNK]", "")
|
722 |
+
return txt
|
723 |
+
|
724 |
+
def __len__(self):
|
725 |
+
return self.tokenizer.get_vocab_size()
|
726 |
+
|
727 |
+
def get_number_tokens(self):
|
728 |
+
return max(self.tokenizer.get_vocab().values()) + 1
|
729 |
+
|
730 |
+
|
731 |
+
def test_expand_numbers_multilingual():
|
732 |
+
test_cases = [
|
733 |
+
# English
|
734 |
+
("In 12.5 seconds.", "In twelve point five seconds.", "en"),
|
735 |
+
("There were 50 soldiers.", "There were fifty soldiers.", "en"),
|
736 |
+
("This is a 1st test", "This is a first test", "en"),
|
737 |
+
("That will be $20 sir.", "That will be twenty dollars sir.", "en"),
|
738 |
+
("That will be 20€ sir.", "That will be twenty euro sir.", "en"),
|
739 |
+
("That will be 20.15€ sir.", "That will be twenty euro, fifteen cents sir.", "en"),
|
740 |
+
("That's 100,000.5.", "That's one hundred thousand point five.", "en"),
|
741 |
+
# French
|
742 |
+
("En 12,5 secondes.", "En douze virgule cinq secondes.", "fr"),
|
743 |
+
("Il y avait 50 soldats.", "Il y avait cinquante soldats.", "fr"),
|
744 |
+
("Ceci est un 1er test", "Ceci est un premier test", "fr"),
|
745 |
+
("Cela vous fera $20 monsieur.", "Cela vous fera vingt dollars monsieur.", "fr"),
|
746 |
+
("Cela vous fera 20€ monsieur.", "Cela vous fera vingt euros monsieur.", "fr"),
|
747 |
+
("Cela vous fera 20,15€ monsieur.", "Cela vous fera vingt euros et quinze centimes monsieur.", "fr"),
|
748 |
+
("Ce sera 100.000,5.", "Ce sera cent mille virgule cinq.", "fr"),
|
749 |
+
# German
|
750 |
+
("In 12,5 Sekunden.", "In zwölf Komma fünf Sekunden.", "de"),
|
751 |
+
("Es gab 50 Soldaten.", "Es gab fünfzig Soldaten.", "de"),
|
752 |
+
("Dies ist ein 1. Test", "Dies ist ein erste Test", "de"), # Issue with gender
|
753 |
+
("Das macht $20 Herr.", "Das macht zwanzig Dollar Herr.", "de"),
|
754 |
+
("Das macht 20€ Herr.", "Das macht zwanzig Euro Herr.", "de"),
|
755 |
+
("Das macht 20,15€ Herr.", "Das macht zwanzig Euro und fünfzehn Cent Herr.", "de"),
|
756 |
+
# Spanish
|
757 |
+
("En 12,5 segundos.", "En doce punto cinco segundos.", "es"),
|
758 |
+
("Había 50 soldados.", "Había cincuenta soldados.", "es"),
|
759 |
+
("Este es un 1er test", "Este es un primero test", "es"),
|
760 |
+
("Eso le costará $20 señor.", "Eso le costará veinte dólares señor.", "es"),
|
761 |
+
("Eso le costará 20€ señor.", "Eso le costará veinte euros señor.", "es"),
|
762 |
+
("Eso le costará 20,15€ señor.", "Eso le costará veinte euros con quince céntimos señor.", "es"),
|
763 |
+
# Italian
|
764 |
+
("In 12,5 secondi.", "In dodici virgola cinque secondi.", "it"),
|
765 |
+
("C'erano 50 soldati.", "C'erano cinquanta soldati.", "it"),
|
766 |
+
("Questo è un 1° test", "Questo è un primo test", "it"),
|
767 |
+
("Ti costerà $20 signore.", "Ti costerà venti dollari signore.", "it"),
|
768 |
+
("Ti costerà 20€ signore.", "Ti costerà venti euro signore.", "it"),
|
769 |
+
("Ti costerà 20,15€ signore.", "Ti costerà venti euro e quindici centesimi signore.", "it"),
|
770 |
+
# Portuguese
|
771 |
+
("Em 12,5 segundos.", "Em doze vírgula cinco segundos.", "pt"),
|
772 |
+
("Havia 50 soldados.", "Havia cinquenta soldados.", "pt"),
|
773 |
+
("Este é um 1º teste", "Este é um primeiro teste", "pt"),
|
774 |
+
("Isso custará $20 senhor.", "Isso custará vinte dólares senhor.", "pt"),
|
775 |
+
("Isso custará 20€ senhor.", "Isso custará vinte euros senhor.", "pt"),
|
776 |
+
(
|
777 |
+
"Isso custará 20,15€ senhor.",
|
778 |
+
"Isso custará vinte euros e quinze cêntimos senhor.",
|
779 |
+
"pt",
|
780 |
+
), # "cêntimos" should be "centavos" num2words issue
|
781 |
+
# Polish
|
782 |
+
("W 12,5 sekundy.", "W dwanaście przecinek pięć sekundy.", "pl"),
|
783 |
+
("Było 50 żołnierzy.", "Było pięćdziesiąt żołnierzy.", "pl"),
|
784 |
+
("To będzie kosztować 20€ panie.", "To będzie kosztować dwadzieścia euro panie.", "pl"),
|
785 |
+
("To będzie kosztować 20,15€ panie.", "To będzie kosztować dwadzieścia euro, piętnaście centów panie.", "pl"),
|
786 |
+
# Arabic
|
787 |
+
("في الـ 12,5 ثانية.", "في الـ اثنا عشر , خمسون ثانية.", "ar"),
|
788 |
+
("كان هناك 50 جنديًا.", "كان هناك خمسون جنديًا.", "ar"),
|
789 |
+
# ("ستكون النتيجة $20 يا سيد.", 'ستكون النتيجة عشرون دولار يا سيد.', 'ar'), # $ and € are mising from num2words
|
790 |
+
# ("ستكون النتيجة 20€ يا سيد.", 'ستكون النتيجة عشرون يورو يا سيد.', 'ar'),
|
791 |
+
# Czech
|
792 |
+
("Za 12,5 vteřiny.", "Za dvanáct celá pět vteřiny.", "cs"),
|
793 |
+
("Bylo tam 50 vojáků.", "Bylo tam padesát vojáků.", "cs"),
|
794 |
+
("To bude stát 20€ pane.", "To bude stát dvacet euro pane.", "cs"),
|
795 |
+
("To bude 20.15€ pane.", "To bude dvacet euro, patnáct centů pane.", "cs"),
|
796 |
+
# Russian
|
797 |
+
("Через 12.5 секунды.", "Через двенадцать запятая пять секунды.", "ru"),
|
798 |
+
("Там было 50 солдат.", "Там было пятьдесят солдат.", "ru"),
|
799 |
+
("Это будет 20.15€ сэр.", "Это будет двадцать евро, пятнадцать центов сэр.", "ru"),
|
800 |
+
("Это будет стоить 20€ господин.", "Это будет стоить двадцать евро господин.", "ru"),
|
801 |
+
# Dutch
|
802 |
+
("In 12,5 seconden.", "In twaalf komma vijf seconden.", "nl"),
|
803 |
+
("Er waren 50 soldaten.", "Er waren vijftig soldaten.", "nl"),
|
804 |
+
("Dat wordt dan $20 meneer.", "Dat wordt dan twintig dollar meneer.", "nl"),
|
805 |
+
("Dat wordt dan 20€ meneer.", "Dat wordt dan twintig euro meneer.", "nl"),
|
806 |
+
# Chinese (Simplified)
|
807 |
+
("在12.5秒内", "在十二点五秒内", "zh"),
|
808 |
+
("有50名士兵", "有五十名士兵", "zh"),
|
809 |
+
# ("那将是$20先生", '那将是二十美元先生', 'zh'), currency doesn't work
|
810 |
+
# ("那将是20€先生", '那将是二十欧元先生', 'zh'),
|
811 |
+
# Turkish
|
812 |
+
# ("12,5 saniye içinde.", 'On iki virgül beş saniye içinde.', 'tr'), # decimal doesn't work for TR
|
813 |
+
("50 asker vardı.", "elli asker vardı.", "tr"),
|
814 |
+
("Bu 1. test", "Bu birinci test", "tr"),
|
815 |
+
# ("Bu 100.000,5.", 'Bu yüz bin virgül beş.', 'tr'),
|
816 |
+
# Hungarian
|
817 |
+
("12,5 másodperc alatt.", "tizenkettő egész öt tized másodperc alatt.", "hu"),
|
818 |
+
("50 katona volt.", "ötven katona volt.", "hu"),
|
819 |
+
("Ez az 1. teszt", "Ez az első teszt", "hu"),
|
820 |
+
# Korean
|
821 |
+
("12.5 초 안에.", "십이 점 다섯 초 안에.", "ko"),
|
822 |
+
("50 명의 병사가 있었다.", "오십 명의 병사가 있었다.", "ko"),
|
823 |
+
("이것은 1 번째 테스트입니다", "이것은 첫 번째 테스트입니다", "ko"),
|
824 |
+
# Hindi
|
825 |
+
("12.5 सेकंड में।", "साढ़े बारह सेकंड में।", "hi"),
|
826 |
+
("50 सैनिक थे।", "पचास सैनिक थे।", "hi"),
|
827 |
+
]
|
828 |
+
for a, b, lang in test_cases:
|
829 |
+
out = expand_numbers_multilingual(a, lang=lang)
|
830 |
+
assert out == b, f"'{out}' vs '{b}'"
|
831 |
+
|
832 |
+
|
833 |
+
def test_abbreviations_multilingual():
|
834 |
+
test_cases = [
|
835 |
+
# English
|
836 |
+
("Hello Mr. Smith.", "Hello mister Smith.", "en"),
|
837 |
+
("Dr. Jones is here.", "doctor Jones is here.", "en"),
|
838 |
+
# Spanish
|
839 |
+
("Hola Sr. Garcia.", "Hola señor Garcia.", "es"),
|
840 |
+
("La Dra. Martinez es muy buena.", "La doctora Martinez es muy buena.", "es"),
|
841 |
+
# French
|
842 |
+
("Bonjour Mr. Dupond.", "Bonjour monsieur Dupond.", "fr"),
|
843 |
+
("Mme. Moreau est absente aujourd'hui.", "madame Moreau est absente aujourd'hui.", "fr"),
|
844 |
+
# German
|
845 |
+
("Frau Dr. Müller ist sehr klug.", "Frau doktor Müller ist sehr klug.", "de"),
|
846 |
+
# Portuguese
|
847 |
+
("Olá Sr. Silva.", "Olá senhor Silva.", "pt"),
|
848 |
+
("Dra. Costa, você está disponível?", "doutora Costa, você está disponível?", "pt"),
|
849 |
+
# Italian
|
850 |
+
("Buongiorno, Sig. Rossi.", "Buongiorno, signore Rossi.", "it"),
|
851 |
+
# ("Sig.ra Bianchi, posso aiutarti?", 'signora Bianchi, posso aiutarti?', 'it'), # Issue with matching that pattern
|
852 |
+
# Polish
|
853 |
+
("Dzień dobry, P. Kowalski.", "Dzień dobry, pani Kowalski.", "pl"),
|
854 |
+
("M. Nowak, czy mogę zadać pytanie?", "pan Nowak, czy mogę zadać pytanie?", "pl"),
|
855 |
+
# Czech
|
856 |
+
("P. Novák", "pan Novák", "cs"),
|
857 |
+
("Dr. Vojtěch", "doktor Vojtěch", "cs"),
|
858 |
+
# Dutch
|
859 |
+
("Dhr. Jansen", "de heer Jansen", "nl"),
|
860 |
+
("Mevr. de Vries", "mevrouw de Vries", "nl"),
|
861 |
+
# Russian
|
862 |
+
("Здравствуйте Г-н Иванов.", "Здравствуйте господин Иванов.", "ru"),
|
863 |
+
("Д-р Смирнов здесь, чтобы увидеть вас.", "доктор Смирнов здесь, чтобы увидеть вас.", "ru"),
|
864 |
+
# Turkish
|
865 |
+
("Merhaba B. Yılmaz.", "Merhaba bay Yılmaz.", "tr"),
|
866 |
+
("Dr. Ayşe burada.", "doktor Ayşe burada.", "tr"),
|
867 |
+
# Hungarian
|
868 |
+
("Dr. Szabó itt van.", "doktor Szabó itt van.", "hu"),
|
869 |
+
]
|
870 |
+
|
871 |
+
for a, b, lang in test_cases:
|
872 |
+
out = expand_abbreviations_multilingual(a, lang=lang)
|
873 |
+
assert out == b, f"'{out}' vs '{b}'"
|
874 |
+
|
875 |
+
|
876 |
+
def test_symbols_multilingual():
|
877 |
+
test_cases = [
|
878 |
+
("I have 14% battery", "I have 14 percent battery", "en"),
|
879 |
+
("Te veo @ la fiesta", "Te veo arroba la fiesta", "es"),
|
880 |
+
("J'ai 14° de fièvre", "J'ai 14 degrés de fièvre", "fr"),
|
881 |
+
("Die Rechnung beträgt £ 20", "Die Rechnung beträgt pfund 20", "de"),
|
882 |
+
("O meu email é ana&[email protected]", "O meu email é ana e joao arroba gmail.com", "pt"),
|
883 |
+
("linguaggio di programmazione C#", "linguaggio di programmazione C cancelletto", "it"),
|
884 |
+
("Moja temperatura to 36.6°", "Moja temperatura to 36.6 stopnie", "pl"),
|
885 |
+
("Mám 14% baterie", "Mám 14 procento baterie", "cs"),
|
886 |
+
("Těším se na tebe @ party", "Těším se na tebe na party", "cs"),
|
887 |
+
("У меня 14% заряда", "У меня 14 процентов заряда", "ru"),
|
888 |
+
("Я буду @ дома", "Я буду собака дома", "ru"),
|
889 |
+
("Ik heb 14% batterij", "Ik heb 14 procent batterij", "nl"),
|
890 |
+
("Ik zie je @ het feest", "Ik zie je bij het feest", "nl"),
|
891 |
+
("لدي 14% في البطارية", "لدي 14 في المئة في البطارية", "ar"),
|
892 |
+
("我的电量为 14%", "我的电量为 14 百分之", "zh"),
|
893 |
+
("Pilim %14 dolu.", "Pilim yüzde 14 dolu.", "tr"),
|
894 |
+
("Az akkumulátorom töltöttsége 14%", "Az akkumulátorom töltöttsége 14 százalék", "hu"),
|
895 |
+
("배터리 잔량이 14%입니다.", "배터리 잔량이 14 퍼센트입니다.", "ko"),
|
896 |
+
("मेरे पास 14% बैटरी है।", "मेरे पास चौदह प्रतिशत बैटरी है।", "hi"),
|
897 |
+
]
|
898 |
+
|
899 |
+
for a, b, lang in test_cases:
|
900 |
+
out = expand_symbols_multilingual(a, lang=lang)
|
901 |
+
assert out == b, f"'{out}' vs '{b}'"
|
902 |
+
|
903 |
+
|
904 |
+
if __name__ == "__main__":
|
905 |
+
test_expand_numbers_multilingual()
|
906 |
+
test_abbreviations_multilingual()
|
907 |
+
test_symbols_multilingual()
|