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Yurii Paniv
commited on
Commit
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953871c
1
Parent(s):
85f14d6
Add cases for currencies
Browse files- tests/test_formatter.py +4 -1
- ukrainian_tts/formatter.py +42 -12
tests/test_formatter.py
CHANGED
@@ -19,7 +19,10 @@ import pytest
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"11100000001 доларів державного боргу.",
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"одинадцять мільярдів сто мільйонів один доларів державного боргу.",
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),
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-
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# Implementing this, require to have proper parsing of words into the token stream
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# which reqiure reworking of current approach.
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("це 19-річне вино.", "це дев'ятнадцять-річне вино."),
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"11100000001 доларів державного боргу.",
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"одинадцять мільярдів сто мільйонів один доларів державного боргу.",
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),
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("10000$, 15000 корупціонерів", "десять тисяч доларів , п'ятнадцять тисяч корупціонерів"), # TODO: fix space before comma
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("$10000, 15000 корупціонерів", "доларів десять тисяч, п'ятнадцять тисяч корупціонерів"), # fix order
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("10000$ у еквіваленті борщових заправок", "десять тисяч доларів у еквіваленті борщових заправок"),
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# this is wrong case, should be "це дев'ятнадцятирічне вино."
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# Implementing this, require to have proper parsing of words into the token stream
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# which reqiure reworking of current approach.
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("це 19-річне вино.", "це дев'ятнадцять-річне вино."),
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ukrainian_tts/formatter.py
CHANGED
@@ -18,6 +18,17 @@ CURRENCY = {
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}
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def preprocess_text(text):
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text = text.lower()
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# currencies
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@@ -57,17 +68,33 @@ def preprocess_text(text):
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text = re.sub(r"(\d)\s+(\d)", r"\1\2", text)
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def detect_num_and_convert(word):
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-
numbers = "0123456789
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result = []
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nonlocal num_form
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parts = word.split("-") # for handling complex words
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for part in parts:
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is_number = all(map(lambda x: x in numbers, part))
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-
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try:
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num_form = number_form(part)
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-
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result.append(num2words(part, lang="uk", gender=gender))
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except:
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result.append(part)
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else:
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@@ -76,14 +103,8 @@ def preprocess_text(text):
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# print([detect_num_and_convert(word) for word in text.split(" ")])
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text = " ".join([detect_num_and_convert(word) for word in text.split(" ")])
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if currency == "USD":
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text = text.replace("$", CURRENCY[currency][num_form])
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-
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text = text.replace("₴", CURRENCY[currency][num_form])
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-
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if currency == "EUR":
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text = text.replace("€", CURRENCY[currency][num_form])
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# fallback numbers
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text = text.replace("1", "один ")
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@@ -101,8 +122,17 @@ def preprocess_text(text):
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"qu": "кв",
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"ch": "ч",
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"sh": "ш",
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"ph": "ф",
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"kh": "х",
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"a": "а",
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"b": "б",
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"c": "ц",
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}
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+
def replace_currency_with_words(text, currency, num_form):
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if currency == "USD":
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text = text.replace("$", CURRENCY[currency][num_form])
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if currency == "UAH":
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text = text.replace("₴", CURRENCY[currency][num_form])
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if currency == "EUR":
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text = text.replace("€", CURRENCY[currency][num_form])
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return text
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def preprocess_text(text):
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text = text.lower()
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# currencies
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text = re.sub(r"(\d)\s+(\d)", r"\1\2", text)
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def detect_num_and_convert(word):
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numbers = "0123456789"
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splits = ",."
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currencies = "$₴€"
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result = []
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nonlocal num_form
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parts = word.split("-") # for handling complex words
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for part in parts:
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is_number = all(map(lambda x: x in numbers, part)) or (any(map(lambda x: x in numbers, part)) and any(map(lambda x: x in splits, part)))
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is_currency = any(map(lambda x: x in currencies, part)) and any(map(lambda x: x in numbers, part)) # contains both number and currency symbol
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if is_number or is_currency:
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try:
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if is_currency:
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cleaned_part = part
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for part_currency in currencies:
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cleaned_part = cleaned_part.replace(part_currency, f" {part_currency} ").strip() # TODO: replace with regex
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part = " ".join([detect_num_and_convert(part_word) for part_word in cleaned_part.split(" ")])
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ends_with_dot = part.endswith(".") # ugly
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ends_with_comma = part.endswith(",")
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if ends_with_comma or ends_with_dot:
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part = part[:-1]
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part = " ".join([detect_num_and_convert(part_word) for part_word in part.split(" ")]) + ("." if ends_with_dot else ",")
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num_form = number_form(part)
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result.append(num2words(part.strip(), lang="uk", gender=gender))
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except:
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result.append(part)
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else:
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# print([detect_num_and_convert(word) for word in text.split(" ")])
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text = " ".join([detect_num_and_convert(word) for word in text.split(" ")])
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text = replace_currency_with_words(text, currency, num_form)
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# fallback numbers
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text = text.replace("1", "один ")
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"qu": "кв",
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"ch": "ч",
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"sh": "ш",
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"шч": "щ", # after previous cases
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"ph": "ф",
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"kh": "х",
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"yo": "йо",
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"yu": "ю",
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"ya": "я",
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"ye": "є",
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"yi": "ї",
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"zh": "ж",
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"ts": "ц",
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"th": "т",
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"a": "а",
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"b": "б",
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"c": "ц",
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