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import num2words
import re
def preprocess_text(text, use_autostress_model=False):
# currencies
text = text.replace("$", "долар")
text = text.replace("₴", "гривня")
text = text.replace("€", "євро")
# replace apostrophe
text = text.replace("`", "'")
text = text.replace("ʼ", "'")
# numbers
text = re.sub(r"(\d)\s+(\d)", r"\1\2", text)
def detect_num_and_convert(word):
numbers = "0123456789,."
result = []
parts = word.split("-") # for handling complex words
for part in parts:
is_number = all(map(lambda x: x in numbers, part))
if is_number:
try:
result.append(num2words.num2words(part, lang="uk"))
except:
result.append(part)
else:
result.append(part)
return "-".join(result)
# print([detect_num_and_convert(word) for word in text.split(" ")])
text = " ".join([detect_num_and_convert(word) for word in text.split(" ")])
# fallback numbers
text = text.replace("1", "один ")
text = text.replace("2", "два ")
text = text.replace("3", "три ")
text = text.replace("4", "чотири ")
text = text.replace("5", "п'ять ")
text = text.replace("6", "шість ")
text = text.replace("7", "сім ")
text = text.replace("8", "вісім ")
text = text.replace("9", "дев'ять ")
text = text.replace("0", "нуль ")
# speak english alphabet using brute force transliteration
english = {
"a": "а",
"b": "б",
"c": "ц",
"d": "д",
"e": "е",
"f": "ф",
"g": "ґ",
"h": "г",
"i": "і",
"j": "дж",
"k": "к",
"l": "л",
"m": "м",
"n": "н",
"o": "о",
"p": "п",
"q": "кв",
"r": "р",
"s": "с",
"t": "т",
"u": "ю",
"v": "в",
"w": "в",
"x": "кс",
"y": "і",
"z": "з",
}
for english_char in english.keys():
# uppercase
text = text.replace(english_char.upper(), english[english_char].upper())
text = text.replace(english_char, english[english_char])
text = text.lower()
return text
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