import hazm import re from regexes.currency import CURRENCY_REGEX from regexes.email import EMAIL_REGEX from regexes.latin import LATIN_REGEX from regexes.number import NUMBERS_REGEX from regexes.phone import PHONE_REGEX from regexes.quote import DOUBLE_QUOTE_REGEX, SINGLE_QUOTE_REGEX from regexes.url import URL_REGEX from regexes.persian import PERSIAN_REGEX import dictionary def make_trans(list_a, list_b): return dict((ord(a), b) for a, b in zip(list_a, list_b)) def multiple_replace(text, chars_to_mapping): pattern = "|".join(map(re.escape, chars_to_mapping.keys())) return re.sub(pattern, lambda m: chars_to_mapping[m.group()], str(text)) ar2fa_digits = make_trans("٠١٢٣٤٥٦٧٨٩٪", "۰۱۲۳۴۵۶۷۸۹٪") fa2en_digits = make_trans("۰۱۲۳۴۵۶۷۸۹٪", "0123456789%") normalizer = hazm.Normalizer(persian_numbers=True, punctuation_spacing=False) def normalize(text, zwnj="\u200c", tokenized=False): text = text.replace("\n", " ").replace("\t", " ") text = re.sub(r"\u200c+", "\u200c", text) text = text.replace('ـ', '') text = normalizer.normalize(text) # if len(dictionary.characters) > 0: # text = multiple_replace(text, dictionary.characters) # # if len(dictionary.words_map) > 0: # text = multiple_replace(text, dictionary.words_map) text = text.translate(ar2fa_digits) text = text.translate(fa2en_digits) text = SINGLE_QUOTE_REGEX.sub("'", text) text = DOUBLE_QUOTE_REGEX.sub('"', text) text = CURRENCY_REGEX.sub(r" \1 ", text) text = URL_REGEX.sub(" ", text) text = EMAIL_REGEX.sub(" ", text) text = PHONE_REGEX.sub(r" \1 ", text) text = NUMBERS_REGEX.sub(r" \1 ", text) text = LATIN_REGEX.sub(r" \1 ", text) # Allow only english and persian characters # text = re.sub(PERSIAN_REGEX, " ", text) text = text.replace(f" {zwnj} ", f"{zwnj}") text = text.replace(f"{zwnj} ", f"{zwnj}") text = text.replace(f" {zwnj}", f"{zwnj}") # if len(dictionary.special_tokens) > 0: # text = multiple_replace(text, dictionary.special_tokens) tokens = [] for token in text.split(): token = token.strip() if token: if token.startswith(zwnj) and token.endswith(zwnj): token = token[1:-1] if token.startswith(zwnj): token = token[1:] elif token.endswith(zwnj): token = token[:-1] else: token = token tokens.append(token) if tokenized: return tokens return " ".join(tokens)