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8.43 kB
| import os | |
| PWD = os.path.dirname(__file__) | |
| import re | |
| import regex | |
| import json | |
| import traceback | |
| from nemo_text_processing.text_normalization.normalize import Normalizer | |
| from indic_numtowords import num2words, supported_langs | |
| from .translator import GoogleTranslator | |
| indic_acronym_matcher = regex.compile(r"([\p{L}\p{M}]+\.\s*){2,}") | |
| # short_form_regex = re.compile(r'\b[A-Z\.]{2,}s?\b') | |
| # def get_shortforms_from_string(text): | |
| # return short_form_regex.findall(text) | |
| short_form_regex = re.compile(r"\b([A-Z][\.\s]+)+([A-Z])?\b") | |
| eng_consonants_regex = re.compile(r"\b[BCDFGHJKLMNPQRSTVWXZbcdfghjklmnpqrstvwxz]+\b") | |
| def get_shortforms_from_string(text): | |
| dotted_shortforms = [m.group() for m in re.finditer(short_form_regex, text)] | |
| non_dotted_shortforms = [m.group() for m in re.finditer(eng_consonants_regex, text)] | |
| return dotted_shortforms + non_dotted_shortforms | |
| decimal_str_regex = re.compile("\d{1,3}(?:(?:,\d{2,3}){1,3}|(?:\d{1,7}))?(?:\.\d+)") | |
| def get_all_decimals_from_string(text): | |
| return decimal_str_regex.findall(text) | |
| num_str_regex = re.compile("\d{1,3}(?:(?:,\d{2,3}){1,3}|(?:\d{1,7}))?(?:\.\d+)?") | |
| def get_all_numbers_from_string(text): | |
| return num_str_regex.findall(text) | |
| multiple_stops_regex = r'\.\.+' | |
| def replace_multiple_stops(text): | |
| return re.sub(multiple_stops_regex, '.', text) | |
| date_generic_match_regex = re.compile("(?:[^0-9]\d*[./-]\d*[./-]\d*)") | |
| date_str_regex = re.compile("(?:\d{1,2}[./-]\d{1,2}[./-]\d{2,4})|(?:\d{2,4}[./-]\d{1,2}[./-]\d{1,2})") # match like dd/mm/yyyy or dd-mm-yy or yyyy.mm.dd or yy/mm/dd | |
| def get_all_dates_from_string(text): | |
| candidates = date_generic_match_regex.findall(text) | |
| candidates = [c.replace(' ', '') for c in candidates] | |
| candidates = [c for c in candidates if len(c) <= 10] # Prune invalid dates | |
| candidates = ' '.join(candidates) | |
| return date_str_regex.findall(candidates) | |
| def get_decimal_substitution(decimal): | |
| decimal_parts = decimal.split('.') | |
| l_part = decimal_parts[0] | |
| r_part = "" | |
| for part in decimal_parts[1:]: | |
| r_part += ' '.join(list(part)) # space between every digit after decimal point | |
| decimal_sub = l_part + " point " + r_part | |
| decimal_sub = decimal_sub.strip() | |
| return decimal_sub | |
| email_regex = r'[\w.+-]+@[\w-]+\.[\w.-]+' | |
| url_regex = r'((?:\w+://)?\w+\.\w+\.\w+/?[\w\.\?=#]*)|(\w*.com/?[\w\.\?=#]*)' | |
| currency_regex = r"\₹\ ?[+-]?[0-9]{1,3}(?:,?[0-9])*(?:\.[0-9]{1,2})?" | |
| phone_regex = r'\+?\d[ \d-]{6,12}\d' | |
| class TextNormalizer: | |
| def __init__(self): | |
| self.translator = GoogleTranslator() | |
| self.normalizer = Normalizer(input_case='cased', lang='en') | |
| self.symbols2lang2word = json.load(open(os.path.join(PWD, "symbols.json"), encoding="utf-8")) | |
| self.alphabet2phone = json.load(open(os.path.join(PWD, "alphabet2phone.json"), encoding="utf-8")) | |
| def normalize_text(self, text, lang): | |
| text = text.replace("।", ".").replace("|", ".").replace("꯫", ".").strip() | |
| text = self.expand_shortforms(text, lang) | |
| text = self.normalize_decimals(text, lang) | |
| text = self.replace_punctutations(text, lang) | |
| text = self.convert_dates_to_words(text, lang) | |
| text = self.convert_symbols_to_words(text, lang) | |
| text = self.convert_numbers_to_words(text, lang) | |
| return text | |
| def normalize_decimals(self, text, lang): | |
| decimal_strs = get_all_decimals_from_string(text) | |
| if not decimal_strs: | |
| return text | |
| decimals = [str(decimal_str.replace(',', '')) for decimal_str in decimal_strs] | |
| decimal_substitutions = [get_decimal_substitution(decimal) for decimal in decimals] | |
| for decimal_str, decimal_sub in zip(decimal_strs, decimal_substitutions): | |
| text = text.replace(decimal_str, decimal_sub) | |
| return text | |
| def replace_punctutations(self, text, lang): | |
| text = replace_multiple_stops(text) | |
| if lang not in ['brx', 'or']: | |
| text = text.replace('।', '.') | |
| if text[-1] not in ['.', '!', '?', ',', ':', ';']: | |
| text = text + ' .' | |
| else: | |
| text = text.replace('.', '।') | |
| text = text.replace('|', '.') | |
| for bracket in ['(', ')', '{', '}', '[', ']']: | |
| text = text.replace(bracket, ',') | |
| # text = text.replace(':', ',').replace(';',',') | |
| text = text.replace(';',',') | |
| return text | |
| def convert_numbers_to_words(self, text, lang): | |
| num_strs = get_all_numbers_from_string(text) | |
| if not num_strs: | |
| return text | |
| # TODO: If it is a large integer without commas (say >5 digits), spell it out numeral by numeral | |
| # NOTE: partially handled by phones | |
| numbers = [int(num_str.replace(',', '')) for num_str in num_strs] | |
| if lang in supported_langs: | |
| # print(lang, numbers) | |
| num_words = [num2words(num, lang=lang) for num in numbers] | |
| else: # Fallback, converting to Indian-English, followed by NMT | |
| try: | |
| num_words = [num2words(num, lang="en") for num in numbers] | |
| translated_num_words = [self.translator(text=num_word, from_lang="en", to_lang=lang) for num_word in num_words] | |
| # TODO: Cache the results? | |
| num_words = translated_num_words | |
| except: | |
| traceback.print_exc() | |
| for num_str, num_word in zip(num_strs, num_words): | |
| text = text.replace(num_str, ' '+num_word+' ', 1) | |
| return text.replace(" ", ' ') | |
| def convert_dates_to_words(self, text, lang): | |
| date_strs = get_all_dates_from_string(text) | |
| if not date_strs: | |
| return text | |
| for date_str in date_strs: | |
| normalized_str = self.normalizer.normalize(date_str, verbose=False, punct_post_process=True) | |
| if lang in ['brx', 'en']: # no translate | |
| translated_str = normalized_str | |
| else: | |
| translated_str = self.translator(text=normalized_str, from_lang="en", to_lang=lang) | |
| text = text.replace(date_str, translated_str) | |
| return text | |
| def expand_phones(self, item): | |
| return ' '.join(list(item)) | |
| def find_valid(self, regex_str, text): | |
| items = re.findall(regex_str, text) | |
| return_items = [] | |
| for item in items: | |
| if isinstance(item, tuple): | |
| for subitem in item: | |
| if len(subitem) > 0: | |
| return_items.append(subitem) | |
| break # choose first valid sub item | |
| elif len(item) > 0: | |
| return_items.append(item) | |
| return return_items | |
| def convert_symbols_to_words(self, text, lang): | |
| symbols = self.symbols2lang2word.keys() | |
| emails = self.find_valid(email_regex, text) | |
| # urls = re.findall(r'(?:\w+://)?\w+\.\w+\.\w+/?[\w\.\?=#]*', text) | |
| urls = self.find_valid(url_regex, text) | |
| # print('URLS', urls) | |
| for item in emails + urls: | |
| item_norm = item | |
| for symbol in symbols: | |
| item_norm = item_norm.replace(symbol, f' {self.symbols2lang2word[symbol][lang]} ') | |
| text = text.replace(item, item_norm) | |
| currencies = self.find_valid(currency_regex, text) | |
| for item in currencies: | |
| item_norm = item.replace('₹','') + '₹' # Pronounce after numerals | |
| for symbol in symbols: | |
| item_norm = item_norm.replace(symbol, f' {self.symbols2lang2word[symbol][lang]} ') | |
| text = text.replace(item, item_norm) | |
| phones = self.find_valid(phone_regex, text) | |
| for item in phones: | |
| item_norm = item.replace('-', ' ') | |
| for symbol in symbols: | |
| item_norm = item_norm.replace(symbol, f' {self.symbols2lang2word[symbol][lang]} ') | |
| item_norm = self.expand_phones(item_norm) | |
| text = text.replace(item, item_norm) | |
| # percentage | |
| text = text.replace('%', self.symbols2lang2word['%'][lang]) | |
| return text | |
| def convert_char2phone(self, char): | |
| return self.alphabet2phone[char.lower()] if char.lower() in self.alphabet2phone else '' | |
| def expand_shortforms(self, text, lang): | |
| if lang!='en': | |
| # Remove dots, as it speaks out like each letter is separate sentence | |
| # Example: अई. अई. टी. -> अई अई टी | |
| for match in regex.finditer(indic_acronym_matcher, text): | |
| match = match.group() | |
| match_without_dot = match.replace('.', ' ') | |
| text = text.replace(match, match_without_dot) | |
| return text | |
| shortforms = get_shortforms_from_string(text) | |
| for shortform in shortforms: | |
| shortform = shortform.strip() | |
| if shortform == 'I' or shortform == "A": | |
| # Skip if valid English words | |
| continue | |
| expanded = ' '.join([self.convert_char2phone(char) for char in shortform]) | |
| text = text.replace(shortform, expanded, 1) | |
| return text | |