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# basic text cleaners for the ACE step model | |
# I didn't copy the ones from the reference code because I didn't want to deal with the dependencies | |
# TODO: more languages than english? | |
import re | |
def japanese_to_romaji(japanese_text): | |
""" | |
Convert Japanese hiragana and katakana to romaji (Latin alphabet representation). | |
Args: | |
japanese_text (str): Text containing hiragana and/or katakana characters | |
Returns: | |
str: The romaji (Latin alphabet) equivalent | |
""" | |
# Dictionary mapping kana characters to their romaji equivalents | |
kana_map = { | |
# Katakana characters | |
'ア': 'a', 'イ': 'i', 'ウ': 'u', 'エ': 'e', 'オ': 'o', | |
'カ': 'ka', 'キ': 'ki', 'ク': 'ku', 'ケ': 'ke', 'コ': 'ko', | |
'サ': 'sa', 'シ': 'shi', 'ス': 'su', 'セ': 'se', 'ソ': 'so', | |
'タ': 'ta', 'チ': 'chi', 'ツ': 'tsu', 'テ': 'te', 'ト': 'to', | |
'ナ': 'na', 'ニ': 'ni', 'ヌ': 'nu', 'ネ': 'ne', 'ノ': 'no', | |
'ハ': 'ha', 'ヒ': 'hi', 'フ': 'fu', 'ヘ': 'he', 'ホ': 'ho', | |
'マ': 'ma', 'ミ': 'mi', 'ム': 'mu', 'メ': 'me', 'モ': 'mo', | |
'ヤ': 'ya', 'ユ': 'yu', 'ヨ': 'yo', | |
'ラ': 'ra', 'リ': 'ri', 'ル': 'ru', 'レ': 're', 'ロ': 'ro', | |
'ワ': 'wa', 'ヲ': 'wo', 'ン': 'n', | |
# Katakana voiced consonants | |
'ガ': 'ga', 'ギ': 'gi', 'グ': 'gu', 'ゲ': 'ge', 'ゴ': 'go', | |
'ザ': 'za', 'ジ': 'ji', 'ズ': 'zu', 'ゼ': 'ze', 'ゾ': 'zo', | |
'ダ': 'da', 'ヂ': 'ji', 'ヅ': 'zu', 'デ': 'de', 'ド': 'do', | |
'バ': 'ba', 'ビ': 'bi', 'ブ': 'bu', 'ベ': 'be', 'ボ': 'bo', | |
'パ': 'pa', 'ピ': 'pi', 'プ': 'pu', 'ペ': 'pe', 'ポ': 'po', | |
# Katakana combinations | |
'キャ': 'kya', 'キュ': 'kyu', 'キョ': 'kyo', | |
'シャ': 'sha', 'シュ': 'shu', 'ショ': 'sho', | |
'チャ': 'cha', 'チュ': 'chu', 'チョ': 'cho', | |
'ニャ': 'nya', 'ニュ': 'nyu', 'ニョ': 'nyo', | |
'ヒャ': 'hya', 'ヒュ': 'hyu', 'ヒョ': 'hyo', | |
'ミャ': 'mya', 'ミュ': 'myu', 'ミョ': 'myo', | |
'リャ': 'rya', 'リュ': 'ryu', 'リョ': 'ryo', | |
'ギャ': 'gya', 'ギュ': 'gyu', 'ギョ': 'gyo', | |
'ジャ': 'ja', 'ジュ': 'ju', 'ジョ': 'jo', | |
'ビャ': 'bya', 'ビュ': 'byu', 'ビョ': 'byo', | |
'ピャ': 'pya', 'ピュ': 'pyu', 'ピョ': 'pyo', | |
# Katakana small characters and special cases | |
'ッ': '', # Small tsu (doubles the following consonant) | |
'ャ': 'ya', 'ュ': 'yu', 'ョ': 'yo', | |
# Katakana extras | |
'ヴ': 'vu', 'ファ': 'fa', 'フィ': 'fi', 'フェ': 'fe', 'フォ': 'fo', | |
'ウィ': 'wi', 'ウェ': 'we', 'ウォ': 'wo', | |
# Hiragana characters | |
'あ': 'a', 'い': 'i', 'う': 'u', 'え': 'e', 'お': 'o', | |
'か': 'ka', 'き': 'ki', 'く': 'ku', 'け': 'ke', 'こ': 'ko', | |
'さ': 'sa', 'し': 'shi', 'す': 'su', 'せ': 'se', 'そ': 'so', | |
'た': 'ta', 'ち': 'chi', 'つ': 'tsu', 'て': 'te', 'と': 'to', | |
'な': 'na', 'に': 'ni', 'ぬ': 'nu', 'ね': 'ne', 'の': 'no', | |
'は': 'ha', 'ひ': 'hi', 'ふ': 'fu', 'へ': 'he', 'ほ': 'ho', | |
'ま': 'ma', 'み': 'mi', 'む': 'mu', 'め': 'me', 'も': 'mo', | |
'や': 'ya', 'ゆ': 'yu', 'よ': 'yo', | |
'ら': 'ra', 'り': 'ri', 'る': 'ru', 'れ': 're', 'ろ': 'ro', | |
'わ': 'wa', 'を': 'wo', 'ん': 'n', | |
# Hiragana voiced consonants | |
'が': 'ga', 'ぎ': 'gi', 'ぐ': 'gu', 'げ': 'ge', 'ご': 'go', | |
'ざ': 'za', 'じ': 'ji', 'ず': 'zu', 'ぜ': 'ze', 'ぞ': 'zo', | |
'だ': 'da', 'ぢ': 'ji', 'づ': 'zu', 'で': 'de', 'ど': 'do', | |
'ば': 'ba', 'び': 'bi', 'ぶ': 'bu', 'べ': 'be', 'ぼ': 'bo', | |
'ぱ': 'pa', 'ぴ': 'pi', 'ぷ': 'pu', 'ぺ': 'pe', 'ぽ': 'po', | |
# Hiragana combinations | |
'きゃ': 'kya', 'きゅ': 'kyu', 'きょ': 'kyo', | |
'しゃ': 'sha', 'しゅ': 'shu', 'しょ': 'sho', | |
'ちゃ': 'cha', 'ちゅ': 'chu', 'ちょ': 'cho', | |
'にゃ': 'nya', 'にゅ': 'nyu', 'にょ': 'nyo', | |
'ひゃ': 'hya', 'ひゅ': 'hyu', 'ひょ': 'hyo', | |
'みゃ': 'mya', 'みゅ': 'myu', 'みょ': 'myo', | |
'りゃ': 'rya', 'りゅ': 'ryu', 'りょ': 'ryo', | |
'ぎゃ': 'gya', 'ぎゅ': 'gyu', 'ぎょ': 'gyo', | |
'じゃ': 'ja', 'じゅ': 'ju', 'じょ': 'jo', | |
'びゃ': 'bya', 'びゅ': 'byu', 'びょ': 'byo', | |
'ぴゃ': 'pya', 'ぴゅ': 'pyu', 'ぴょ': 'pyo', | |
# Hiragana small characters and special cases | |
'っ': '', # Small tsu (doubles the following consonant) | |
'ゃ': 'ya', 'ゅ': 'yu', 'ょ': 'yo', | |
# Common punctuation and spaces | |
' ': ' ', # Japanese space | |
'、': ', ', '。': '. ', | |
} | |
result = [] | |
i = 0 | |
while i < len(japanese_text): | |
# Check for small tsu (doubling the following consonant) | |
if i < len(japanese_text) - 1 and (japanese_text[i] == 'っ' or japanese_text[i] == 'ッ'): | |
if i < len(japanese_text) - 1 and japanese_text[i+1] in kana_map: | |
next_romaji = kana_map[japanese_text[i+1]] | |
if next_romaji and next_romaji[0] not in 'aiueon': | |
result.append(next_romaji[0]) # Double the consonant | |
i += 1 | |
continue | |
# Check for combinations with small ya, yu, yo | |
if i < len(japanese_text) - 1 and japanese_text[i+1] in ('ゃ', 'ゅ', 'ょ', 'ャ', 'ュ', 'ョ'): | |
combo = japanese_text[i:i+2] | |
if combo in kana_map: | |
result.append(kana_map[combo]) | |
i += 2 | |
continue | |
# Regular character | |
if japanese_text[i] in kana_map: | |
result.append(kana_map[japanese_text[i]]) | |
else: | |
# If it's not in our map, keep it as is (might be kanji, romaji, etc.) | |
result.append(japanese_text[i]) | |
i += 1 | |
return ''.join(result) | |
def number_to_text(num, ordinal=False): | |
""" | |
Convert a number (int or float) to its text representation. | |
Args: | |
num: The number to convert | |
Returns: | |
str: Text representation of the number | |
""" | |
if not isinstance(num, (int, float)): | |
return "Input must be a number" | |
# Handle special case of zero | |
if num == 0: | |
return "zero" | |
# Handle negative numbers | |
negative = num < 0 | |
num = abs(num) | |
# Handle floats | |
if isinstance(num, float): | |
# Split into integer and decimal parts | |
int_part = int(num) | |
# Convert both parts | |
int_text = _int_to_text(int_part) | |
# Handle decimal part (convert to string and remove '0.') | |
decimal_str = str(num).split('.')[1] | |
decimal_text = " point " + " ".join(_digit_to_text(int(digit)) for digit in decimal_str) | |
result = int_text + decimal_text | |
else: | |
# Handle integers | |
result = _int_to_text(num) | |
# Add 'negative' prefix for negative numbers | |
if negative: | |
result = "negative " + result | |
return result | |
def _int_to_text(num): | |
"""Helper function to convert an integer to text""" | |
ones = ["", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", | |
"ten", "eleven", "twelve", "thirteen", "fourteen", "fifteen", "sixteen", | |
"seventeen", "eighteen", "nineteen"] | |
tens = ["", "", "twenty", "thirty", "forty", "fifty", "sixty", "seventy", "eighty", "ninety"] | |
if num < 20: | |
return ones[num] | |
if num < 100: | |
return tens[num // 10] + (" " + ones[num % 10] if num % 10 != 0 else "") | |
if num < 1000: | |
return ones[num // 100] + " hundred" + (" " + _int_to_text(num % 100) if num % 100 != 0 else "") | |
if num < 1000000: | |
return _int_to_text(num // 1000) + " thousand" + (" " + _int_to_text(num % 1000) if num % 1000 != 0 else "") | |
if num < 1000000000: | |
return _int_to_text(num // 1000000) + " million" + (" " + _int_to_text(num % 1000000) if num % 1000000 != 0 else "") | |
return _int_to_text(num // 1000000000) + " billion" + (" " + _int_to_text(num % 1000000000) if num % 1000000000 != 0 else "") | |
def _digit_to_text(digit): | |
"""Convert a single digit to text""" | |
digits = ["zero", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine"] | |
return digits[digit] | |
_whitespace_re = re.compile(r"\s+") | |
# List of (regular expression, replacement) pairs for abbreviations: | |
_abbreviations = { | |
"en": [ | |
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) | |
for x in [ | |
("mrs", "misess"), | |
("mr", "mister"), | |
("dr", "doctor"), | |
("st", "saint"), | |
("co", "company"), | |
("jr", "junior"), | |
("maj", "major"), | |
("gen", "general"), | |
("drs", "doctors"), | |
("rev", "reverend"), | |
("lt", "lieutenant"), | |
("hon", "honorable"), | |
("sgt", "sergeant"), | |
("capt", "captain"), | |
("esq", "esquire"), | |
("ltd", "limited"), | |
("col", "colonel"), | |
("ft", "fort"), | |
] | |
], | |
} | |
def expand_abbreviations_multilingual(text, lang="en"): | |
for regex, replacement in _abbreviations[lang]: | |
text = re.sub(regex, replacement, text) | |
return text | |
_symbols_multilingual = { | |
"en": [ | |
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) | |
for x in [ | |
("&", " and "), | |
("@", " at "), | |
("%", " percent "), | |
("#", " hash "), | |
("$", " dollar "), | |
("£", " pound "), | |
("°", " degree "), | |
] | |
], | |
} | |
def expand_symbols_multilingual(text, lang="en"): | |
for regex, replacement in _symbols_multilingual[lang]: | |
text = re.sub(regex, replacement, text) | |
text = text.replace(" ", " ") # Ensure there are no double spaces | |
return text.strip() | |
_ordinal_re = { | |
"en": re.compile(r"([0-9]+)(st|nd|rd|th)"), | |
} | |
_number_re = re.compile(r"[0-9]+") | |
_currency_re = { | |
"USD": re.compile(r"((\$[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+\$))"), | |
"GBP": re.compile(r"((£[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+£))"), | |
"EUR": re.compile(r"(([0-9\.\,]*[0-9]+€)|((€[0-9\.\,]*[0-9]+)))"), | |
} | |
_comma_number_re = re.compile(r"\b\d{1,3}(,\d{3})*(\.\d+)?\b") | |
_dot_number_re = re.compile(r"\b\d{1,3}(.\d{3})*(\,\d+)?\b") | |
_decimal_number_re = re.compile(r"([0-9]+[.,][0-9]+)") | |
def _remove_commas(m): | |
text = m.group(0) | |
if "," in text: | |
text = text.replace(",", "") | |
return text | |
def _remove_dots(m): | |
text = m.group(0) | |
if "." in text: | |
text = text.replace(".", "") | |
return text | |
def _expand_decimal_point(m, lang="en"): | |
amount = m.group(1).replace(",", ".") | |
return number_to_text(float(amount)) | |
def _expand_currency(m, lang="en", currency="USD"): | |
amount = float((re.sub(r"[^\d.]", "", m.group(0).replace(",", ".")))) | |
full_amount = number_to_text(amount) | |
and_equivalents = { | |
"en": ", ", | |
"es": " con ", | |
"fr": " et ", | |
"de": " und ", | |
"pt": " e ", | |
"it": " e ", | |
"pl": ", ", | |
"cs": ", ", | |
"ru": ", ", | |
"nl": ", ", | |
"ar": ", ", | |
"tr": ", ", | |
"hu": ", ", | |
"ko": ", ", | |
} | |
if amount.is_integer(): | |
last_and = full_amount.rfind(and_equivalents[lang]) | |
if last_and != -1: | |
full_amount = full_amount[:last_and] | |
return full_amount | |
def _expand_ordinal(m, lang="en"): | |
return number_to_text(int(m.group(1)), ordinal=True) | |
def _expand_number(m, lang="en"): | |
return number_to_text(int(m.group(0))) | |
def expand_numbers_multilingual(text, lang="en"): | |
if lang in ["en", "ru"]: | |
text = re.sub(_comma_number_re, _remove_commas, text) | |
else: | |
text = re.sub(_dot_number_re, _remove_dots, text) | |
try: | |
text = re.sub(_currency_re["GBP"], lambda m: _expand_currency(m, lang, "GBP"), text) | |
text = re.sub(_currency_re["USD"], lambda m: _expand_currency(m, lang, "USD"), text) | |
text = re.sub(_currency_re["EUR"], lambda m: _expand_currency(m, lang, "EUR"), text) | |
except: | |
pass | |
text = re.sub(_decimal_number_re, lambda m: _expand_decimal_point(m, lang), text) | |
text = re.sub(_ordinal_re[lang], lambda m: _expand_ordinal(m, lang), text) | |
text = re.sub(_number_re, lambda m: _expand_number(m, lang), text) | |
return text | |
def lowercase(text): | |
return text.lower() | |
def collapse_whitespace(text): | |
return re.sub(_whitespace_re, " ", text) | |
def multilingual_cleaners(text, lang): | |
text = text.replace('"', "") | |
if lang == "tr": | |
text = text.replace("İ", "i") | |
text = text.replace("Ö", "ö") | |
text = text.replace("Ü", "ü") | |
text = lowercase(text) | |
try: | |
text = expand_numbers_multilingual(text, lang) | |
except: | |
pass | |
try: | |
text = expand_abbreviations_multilingual(text, lang) | |
except: | |
pass | |
try: | |
text = expand_symbols_multilingual(text, lang=lang) | |
except: | |
pass | |
text = collapse_whitespace(text) | |
return text | |
def basic_cleaners(text): | |
"""Basic pipeline that lowercases and collapses whitespace without transliteration.""" | |
text = lowercase(text) | |
text = collapse_whitespace(text) | |
return text | |