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from re import sub
from unidecode import unidecode
import copy
import os
from .tokenizer import Tokenizer
from .data_helper import DataHelper
from .token_merger import ClassifierChunkParser
import pickle
import re
class Normalizer:
def __init__(self,
half_space_char='\u200c',
statistical_space_correction=False,
date_normalizing_needed=True,
time_normalizing_needed=True,
pinglish_conversion_needed=False,
number2text_needed=True,
half_space_corrector=True,
train_file_path="resource/tokenizer/Bijan_khan_chunk.txt",
token_merger_path="resource/tokenizer/TokenMerger.pckl"):
self.time_normalizing_needed = time_normalizing_needed
self.dir_path = os.path.dirname(os.path.realpath(__file__)) + "/"
self.dic1_path = self.dir_path + 'resource/normalizer/Dic1_new.txt'
self.dic2_path = self.dir_path + 'resource/normalizer/Dic2_new.txt'
self.dic3_path = self.dir_path + 'resource/normalizer/Dic3_new.txt'
self.dic1 = self.load_dictionary(self.dic1_path)
self.dic2 = self.load_dictionary(self.dic2_path)
self.dic3 = self.load_dictionary(self.dic3_path)
self.tokenizer = Tokenizer()
self.dictaition_normalizer = DictatioinNormalizer()
self.statistical_space_correction = statistical_space_correction
self.date_normalizing_needed = date_normalizing_needed
self.pinglish_conversion_needed = pinglish_conversion_needed
self.number2text_needed = number2text_needed
self.half_space_corrector = half_space_corrector
self.data_helper = DataHelper()
self.token_merger = ClassifierChunkParser()
if self.date_normalizing_needed or self.pinglish_conversion_needed:
self.date_normalizer = DateNormalizer()
self.pinglish_conversion = PinglishNormalizer()
if self.time_normalizing_needed:
self.time_normalizer = TimeNormalizer()
if self.statistical_space_correction:
self.token_merger_path = self.dir_path + token_merger_path
self.train_file_path = train_file_path
self.half_space_char = half_space_char
if os.path.isfile(self.token_merger_path):
self.token_merger_model = self.data_helper.load_var(self.token_merger_path)
elif os.path.isfile(self.train_file_path):
self.token_merger_model = self.token_merger.train_merger(self.train_file_path, test_split=0)
self.data_helper.save_var(self.token_merger_path, self.token_merger_model)
def load_dictionary(self, file_path):
dictionary = {}
with open(file_path, 'r', encoding='utf-8') as f:
g = f.readlines()
for Wrds in g:
wrd = Wrds.split(' ')
dictionary[wrd[0].strip()] = sub('\n', '', wrd[1].strip())
return dictionary
def replace_abbrv(self, text):
text = text.replace("( ص )", "( صلياللهعليهوآله )")
text = text.replace("( ع )", "( عليهالسلام )")
text = text.replace("( س )", "( سلامالله )")
text = text.replace("( ره )", "( رحمهاللهعليه )")
text = text.replace("( قده )", "( قدسسره )")
text = text.replace("( رض )", "( رضياللهعنه )")
text = text.replace(" ج ا ا ", " جمهوري اسلامي ايران ")
text = text.replace(" ج اا ", " جمهوري اسلامي ايران ")
text = text.replace(" جاا ", " جمهوري اسلامي ايران ")
text = text.replace(" ج ا ايران ", " جمهوري اسلامي ايران ")
text = text.replace(" ج اايران ", " جمهوري اسلامي ايران ")
text = text.replace(" جاايران ", " جمهوري اسلامي ايران ")
text = text.replace(" صص ", " صفحات ")
text = text.replace(" ه ق ", " هجري قمري ")
text = text.replace(" ه ش ", " هجري شمسي ")
text = text.replace(" ق م ", " قبل از ميلاد ")
text = text.replace(" صص ", " صفحات ")
text = text.replace(" الخ ", " اليآخر ")
return text
def replace_special_symbols(self, doc_string):
special_dict = {
"﷼": " ریال ",
"ﷴ": " محمد ",
"ﷺ": " صلياللهعليهوآلهوسلم ",
"ﷲ": " الله ",
"ﷻ": " جَل جلاله ",
"ﷱ": " قلي ",
"ﷳ": " صلي ",
"ﷰ": " اكبر ",
"ﷵ": " صلياللهعليهوآلهوسلم ",
"ﷶ": " رسول ",
"ﷷ": " عليهالسلام ",
"ﷸ": " و سلم ",
"﷽": " بسماللهالرحمنالرحيم ",
}
result = doc_string
for i, j in special_dict.items():
result = sub(i, j, result)
return result
def sub_alphabets(self, doc_string):
# try:
# doc_string = doc_string.decode('utf-8')
# except UnicodeEncodeError:
# pass
a0 = "ء"
b0 = "ئ"
c0 = sub(a0, b0, doc_string)
a1 = r"ٲ|ٱ|إ|ﺍ|أ"
a11 = r"ﺁ|آ"
b1 = r"ا"
b11 = r"آ"
c11 = sub(a11, b11, c0)
c1 = sub(a1, b1, c11)
a2 = r"ﺐ|ﺏ|ﺑ"
b2 = r"ب"
c2 = sub(a2, b2, c1)
a3 = r"ﭖ|ﭗ|ﭙ|ﺒ|ﭘ"
b3 = r"پ"
c3 = sub(a3, b3, c2)
a4 = r"ﭡ|ٺ|ٹ|ﭞ|ٿ|ټ|ﺕ|ﺗ|ﺖ|ﺘ"
b4 = r"ت"
c4 = sub(a4, b4, c3)
a5 = r"ﺙ|ﺛ"
b5 = r"ث"
c5 = sub(a5, b5, c4)
a6 = r"ﺝ|ڃ|ﺠ|ﺟ"
b6 = r"ج"
c6 = sub(a6, b6, c5)
a7 = r"ڃ|ﭽ|ﭼ"
b7 = r"چ"
c7 = sub(a7, b7, c6)
a8 = r"ﺢ|ﺤ|څ|ځ|ﺣ"
b8 = r"ح"
c8 = sub(a8, b8, c7)
a9 = r"ﺥ|ﺦ|ﺨ|ﺧ"
b9 = r"خ"
c9 = sub(a9, b9, c8)
a10 = r"ڏ|ډ|ﺪ|ﺩ"
b10 = r"د"
c10 = sub(a10, b10, c9)
a11 = r"ﺫ|ﺬ|ﻧ"
b11 = r"ذ"
c11 = sub(a11, b11, c10)
a12 = r"ڙ|ڗ|ڒ|ڑ|ڕ|ﺭ|ﺮ"
b12 = r"ر"
c12 = sub(a12, b12, c11)
a13 = r"ﺰ|ﺯ"
b13 = r"ز"
c13 = sub(a13, b13, c12)
a14 = r"ﮊ"
b14 = r"ژ"
c14 = sub(a14, b14, c13)
a15 = r"ݭ|ݜ|ﺱ|ﺲ|ښ|ﺴ|ﺳ"
b15 = r"س"
c15 = sub(a15, b15, c14)
a16 = r"ﺵ|ﺶ|ﺸ|ﺷ"
b16 = r"ش"
c16 = sub(a16, b16, c15)
a17 = r"ﺺ|ﺼ|ﺻ"
b17 = r"ص"
c17 = sub(a17, b17, c16)
a18 = r"ﺽ|ﺾ|ﺿ|ﻀ"
b18 = r"ض"
c18 = sub(a18, b18, c17)
a19 = r"ﻁ|ﻂ|ﻃ|ﻄ"
b19 = r"ط"
c19 = sub(a19, b19, c18)
a20 = r"ﻆ|ﻇ|ﻈ"
b20 = r"ظ"
c20 = sub(a20, b20, c19)
a21 = r"ڠ|ﻉ|ﻊ|ﻋ"
b21 = r"ع"
c21 = sub(a21, b21, c20)
a22 = r"ﻎ|ۼ|ﻍ|ﻐ|ﻏ"
b22 = r"غ"
c22 = sub(a22, b22, c21)
a23 = r"ﻒ|ﻑ|ﻔ|ﻓ"
b23 = r"ف"
c23 = sub(a23, b23, c22)
a24 = r"ﻕ|ڤ|ﻖ|ﻗ"
b24 = r"ق"
c24 = sub(a24, b24, c23)
a25 = r"ڭ|ﻚ|ﮎ|ﻜ|ﮏ|ګ|ﻛ|ﮑ|ﮐ|ڪ|ک"
b25 = r"ك"
c25 = sub(a25, b25, c24)
a26 = r"ﮚ|ﮒ|ﮓ|ﮕ|ﮔ"
b26 = r"گ"
c26 = sub(a26, b26, c25)
a27 = r"ﻝ|ﻞ|ﻠ|ڵ"
b27 = r"ل"
c27 = sub(a27, b27, c26)
a28 = r"ﻡ|ﻤ|ﻢ|ﻣ"
b28 = r"م"
c28 = sub(a28, b28, c27)
a29 = r"ڼ|ﻦ|ﻥ|ﻨ"
b29 = r"ن"
c29 = sub(a29, b29, c28)
a30 = r"ވ|ﯙ|ۈ|ۋ|ﺆ|ۊ|ۇ|ۏ|ۅ|ۉ|ﻭ|ﻮ|ؤ"
b30 = r"و"
c30 = sub(a30, b30, c29)
a31 = r"ﺔ|ﻬ|ھ|ﻩ|ﻫ|ﻪ|ۀ|ە|ة|ہ|\u06C1"
b31 = r"ه"
c31 = sub(a31, b31, c30)
a32 = r"ﭛ|ﻯ|ۍ|ﻰ|ﻱ|ﻲ|ں|ﻳ|ﻴ|ﯼ|ې|ﯽ|ﯾ|ﯿ|ێ|ے|ى|ی"
b32 = r"ي"
c32 = sub(a32, b32, c31)
a33 = r'¬'
b33 = r''
c33 = sub(a33, b33, c32)
pa0 = r'•|·|●|·|・|∙|｡|ⴰ'
pb0 = r'.'
pc0 = sub(pa0, pb0, c33)
pa1 = r',|٬|‚|，'
pb1 = r'،'
pc1 = sub(pa1, pb1, pc0)
pa2 = r'ʕ'
pb2 = r'؟'
pc2 = sub(pa2, pb2, pc1)
pa3 = r'٪'
pb3 = r'%'
pc3 = sub(pa3, pb3, pc2)
na0 = r'۰|٠'
nb0 = r'0'
nc0 = sub(na0, nb0, pc3)
na1 = r'۱|١'
nb1 = r'1'
nc1 = sub(na1, nb1, nc0)
na2 = r'۲|٢'
nb2 = r'2'
nc2 = sub(na2, nb2, nc1)
na3 = r'۳|٣'
nb3 = r'3'
nc3 = sub(na3, nb3, nc2)
na4 = r'۴|٤'
nb4 = r'4'
nc4 = sub(na4, nb4, nc3)
na5 = r'۵'
nb5 = r'5'
nc5 = sub(na5, nb5, nc4)
na6 = r'۶|٦'
nb6 = r'6'
nc6 = sub(na6, nb6, nc5)
na7 = r'۷|٧'
nb7 = r'7'
nc7 = sub(na7, nb7, nc6)
na8 = r'۸|٨'
nb8 = r'8'
nc8 = sub(na8, nb8, nc7)
na9 = r'۹|٩'
nb9 = r'9'
nc9 = sub(na9, nb9, nc8)
ea1 = r'ـ|ِ|ُ|َ'
eb1 = r''
#ec1 = sub(ea1, eb1, nc9)
ec1 = nc9
sa1 = r'( )+'
sb1 = r' '
sc1 = sub(sa1, sb1, ec1)
sa2 = r'(\n)+'
sb2 = r'\n'
sc2 = sub(sa2, sb2, sc1)
espa0 = u'\u200e|\u200f| '
espb0 = ' '
espc0 = sub(espa0, espb0, sc2)
return espc0
def space_correction(self, doc_string):
a00 = r'^(بی|می|نمی)( )'
b00 = r'\1'
c00 = sub(a00, b00, doc_string)
a0 = r'( )(می|نمی|بی)( )'
b0 = r'\1\2'
c0 = sub(a0, b0, c00)
a1 = r'( )(هایی|ها|های|ایی|هایم|هایت|هایش|هایمان|هایتان|هایشان|ات|ان|ین' \
r'|انی|بان|ام|ای|یم|ید|اید|اند|بودم|بودی|بود|بودیم|بودید|بودند|ست)( )'
b1 = r'\2\3'
c1 = sub(a1, b1, c0)
a2 = r'( )(شده|نشده)( )'
b2 = r'\2'
c2 = sub(a2, b2, c1)
a3 = r'( )(طلبان|طلب|گرایی|گرایان|شناس|شناسی|گذاری|گذار|گذاران|شناسان|گیری|پذیری|بندی|آوری|سازی|' \
r'بندی|کننده|کنندگان|گیری|پرداز|پردازی|پردازان|آمیز|سنجی|ریزی|داری|دهنده|آمیز|پذیری' \
r'|پذیر|پذیران|گر|ریز|ریزی|رسانی|یاب|یابی|گانه|گانهای|انگاری|گا|بند|رسانی|دهندگان|دار)( )'
b3 = r'\2\3'
c3 = sub(a3, b3, c2)
return c3
def space_correction_plus1(self, doc_string):
out_sentences = ''
for wrd in doc_string.split(' '):
try:
out_sentences = out_sentences + ' ' + self.dic1[wrd]
except KeyError:
out_sentences = out_sentences + ' ' + wrd
return out_sentences
def space_correction_plus2(self, doc_string):
out_sentences = ''
wrds = doc_string.split(' ')
word_len = wrds.__len__()
if word_len < 2:
return doc_string
cnt = 1
for i in range(0, word_len - 1):
w = wrds[i] + wrds[i + 1]
try:
out_sentences = out_sentences + ' ' + self.dic2[w]
cnt = 0
except KeyError:
if cnt == 1:
out_sentences = out_sentences + ' ' + wrds[i]
cnt = 1
if cnt == 1:
out_sentences = out_sentences + ' ' + wrds[i + 1]
return out_sentences
def space_correction_plus3(self, doc_string):
# Dict = {'گفتوگو': 'گفتوگو'}
out_sentences = ''
wrds = doc_string.split(' ')
word_len = wrds.__len__()
if word_len < 3:
return doc_string
cnt = 1
cnt2 = 0
for i in range(0, word_len - 2):
w = wrds[i] + wrds[i + 1] + wrds[i + 2]
try:
out_sentences = out_sentences + ' ' + self.dic3[w]
cnt = 0
cnt2 = 2
except KeyError:
if cnt == 1 and cnt2 == 0:
out_sentences = out_sentences + ' ' + wrds[i]
else:
cnt2 -= 1
cnt = 1
if cnt == 1 and cnt2 == 0:
out_sentences = out_sentences + ' ' + wrds[i + 1] + ' ' + wrds[i + 2]
elif cnt == 1 and cnt2 == 1:
out_sentences = out_sentences + ' ' + wrds[i + 2]
return out_sentences
def replace_puncs(self, doc_string):
repeat_pattern = \
r"((?<!\.)\.(?!\.)|\.{3}\.*|_|،|,|\(|\)|:|\?|!|<|>|\-|;|\[|\]|\{|\}|»|«|\^|'|\\|¡|~|©|،|؟|؛|\")\1+"
doc_strig = re.sub(repeat_pattern, r"\1", doc_string)
pattern = r'(?<!\.)\.(?!\.)|\.{3}\.*|_|،|,|\(|\)|:|\?|!|<|>|\-|;|\[|\]|\{|\}|»|«|\^|\'|\\|¡|~|©|،|؟|؛|\"'
clauses = [i.strip() for i in list(filter(None, re.split(pattern, doc_string)))]
result = ' | '.join(clauses)
return result
def split_digit_from_alphabet(self, doc_string):
doc_string = re.sub(r'(\d)([^\d\s])', r'\1 \2', doc_string)
doc_string = re.sub(r'(\D)([^\D\s])', r'\1 \2', doc_string)
return doc_string
def normalize(self, doc_string, new_line_elimination=False):
normalized_string = doc_string
normalized_string = self.dictaition_normalizer.remove_extra_space_zwnj(normalized_string)
normalized_string = self.sub_alphabets(normalized_string)
normalized_string = self.replace_abbrv(normalized_string)
normalized_string = self.replace_special_symbols(normalized_string)
normalized_string = self.data_helper.clean_text(normalized_string, new_line_elimination).strip()
normalized_string = self.split_digit_from_alphabet(normalized_string)
normalized_string = self.split_phoneme_in_persian_and_eng_from_rest(normalized_string)
if self.date_normalizing_needed:
normalized_string = self.date_normalizer.normalize_dates(normalized_string)
if self.time_normalizing_needed:
normalized_string = self.time_normalizer.normalize_time(normalized_string)
if self.number2text_needed:
normalized_string = sub(r'[\u06F0-\u06F90-9]+', lambda x: unidecode(x.group(0)), normalized_string)
n = NumberNormalizer()
normalized_string = sub(r'[0-9]+', lambda x: n.convert(x.group(0)), normalized_string)
if self.statistical_space_correction:
token_list = normalized_string.strip().split()
token_list = [x.strip("\u200c") for x in token_list if len(x.strip("\u200c")) != 0]
token_list = self.token_merger.merg_tokens(token_list, self.token_merger_model, self.half_space_char)
normalized_string = " ".join(x for x in token_list)
normalized_string = self.data_helper.clean_text(normalized_string, new_line_elimination)
else:
normalized_string = self.space_correction(self.space_correction_plus1(self.space_correction_plus2(
self.space_correction_plus3(normalized_string)))).strip()
if self.pinglish_conversion_needed:
normalized_string = self.pinglish_conversion.pingilish2persian(
self.tokenizer.tokenize_words(normalized_string))
normalized_string = self.replace_puncs(normalized_string)
if self.half_space_corrector:
normalized_string = self.dictaition_normalizer.remove_extra_space_zwnj(normalized_string)
normalized_string = self.dictaition_normalizer.join_words_without_rules(normalized_string)
normalized_string = self.dictaition_normalizer.correct_compound(normalized_string, 5)
normalized_string = self.dictaition_normalizer.half_space_corrector(normalized_string)
return normalized_string
def split_phoneme_in_persian_and_eng_from_rest(self, doc_string):
doc_string = re.sub(r'([\u0622-\u06f0])([^\u0622-\u06f0])', r'\1 \2', doc_string)
doc_string = re.sub(r'([a-z|A-Z])([^a-z|^A-Z])', r'\1 \2', doc_string)
return doc_string
class DateNormalizer:
def __init__(self):
self.nn = NumberNormalizer()
self.persian_month_dict = {'فروردين': 1, 'ارديبهشت': 2, 'خرداد': 3, 'تير': 4, 'مرداد': 5,
'شهريور': 6, 'مهر': 7, 'آبان': 8, 'آذر': 9, 'دي': 10, 'بهمن': 11, 'اسفند': 12}
self.christian_month_dict = {'ژانویه': 1, 'فوریه': 2, 'مارس': 3, 'آپریل': 4, 'می': 5, 'ژوئن': 6, 'جولای': 7,
'آگوست': 8, 'سپتامبر': 9, 'اکتبر': 10, 'نوامبر': 11, 'دسامبر': 12}
self.num_dict = {'چهار': 4, 'سه': 3, 'دو': 2, 'يك': 1, 'يازده': 11, 'سيزده': 13, 'چهارده': 14, 'دوازده': 12,
'پانزده': 15, 'شانزده': 16, 'چهارم': 4, 'سوم': 3, 'دوم': 2, 'يكم': 1, 'اول': 1, 'يازدهم': 11,
'سيزدهم': 13, 'چهاردهم': 14, 'دوازدهم': 12, 'پانزدهم': 15, 'شانزدهم': 16, 'هفدهم': 17,
'هجدهم': 18, 'نوزدهم': 19, 'بيستم': 20, 'چهلم': 40, 'پنجاهم': 50, 'شصتم': 60, 'هفتادم': 70,
'نودم': 90, 'سيصدم': 300, 'چهارصدم': 400, 'پانصدم': 500, 'ششصدم': 600, 'هفتصدم': 700,
'هشتصدم': 800, 'نهصدم': 900, 'هشتادم': 80, 'هزار': 1000, 'ميليون': 1000000, 'دويست': 200,
'ده': 10, 'نه': 9, 'هشت': 8, 'هفت': 7, 'شش': 6, 'پنج': 5, 'هفده': 17, 'هجده': 18, 'نوزده': 19,
'بيست': 20, 'سي': 30, 'چهل': 40, 'پنجاه': 50, 'شصت': 60, 'هفتاد': 70, 'نود': 90, 'سيصد': 300,
'چهارصد': 400, 'پانصد': 500, 'ششصد': 600, 'هفتصد': 700, 'هشتصد': 800, 'نهصد': 900,
'هشتاد': 80, ' ': 0, 'ميليارد': 1000000000, 'صدم': 100, 'هزارم': 1000, 'دويستم': 200,
'دهم': 10, 'نهم': 9, 'هشتم': 8, 'هفتم': 7, 'ششم': 6, 'پنجم': 5}
def find_date_part(self, doc_string):
persian_date_regex = re.compile(r'\b(1[0-4]\d\d|[3-9][2-9])([\s]*[/.\-][\s]*)([1-9]|0[1-9]|1[0-2])'
r'([\s]*[/.\-][\s]*)([1-9]|0[1-9]|1[0-9]|2[0-9]|3[0-1])\b')
persian_date_regex_rev = re.compile(
r'\b([1-9]|0[1-9]|1[0-9]|2[0-9]|3[0-1])([\s]*[/.\-][\s]*)([1-9]|0[1-9]|1[0-2])'
r'([\s]*[/.-][\s]*)(1[0-4][\d][\d]|[3-9][2-9])\b')
persian_date_md_regex = re.compile(r'(?<![/.\-])([0[1-9]|[1-9]|1[0-2])([\s]*[/.\-][\s]*)'
r'([1-9]|0[1-9]|1[0-9]|2[0-9]|3[0-1])[\s]*(?![/.\-])')
christian_date_regex = re.compile(r'\b([1-9]|0[1-9]|1[0-9]|2[0-9]|3[0-1])([\s]*[/.\-][\s]*)'
r'([1-9]|0[1-9]|1[0-2])([\s]*[/.\-][\s]*)(1[5-9][0-9][0-9]|2[0][0-9][0-9])|'
r'([1-9]|0[1-9]|1[0-2])([\s]*[/.\-][\s]*)([1-9]|0[1-9]|1[0-9]|2[0-9]|3[0-1])'
r'([\s]*[/.\-][\s]*)(1[5-9][0-9][0-9]|2[0][0-9][0-9])|'
r'(1[5-9][0-9][0-9]|2[0][0-9][0-9])([\s]*[/.\-][\s]*)([1-9]|0[1-9]|1[0-2])'
r'([\s]*[/.\-][\s]*)([1-9]|0[1-9]|1[0-9]|2[0-9]|3[0-1])\b')
keywords_date = ['مورخ', 'مورخه', 'تاريخ', 'شمسي', 'ميلادي', 'قمري', 'هجري']
persian_result = []
christian_result = []
for match in persian_date_regex.finditer(doc_string):
persian_result.append([*match.span(), int(match[5]), int(match[3]), int(match[1])])
for match in persian_date_regex_rev.finditer(doc_string):
persian_result.append([*match.span(), int(match[1]), int(match[3]), int(match[5])])
for match in christian_date_regex.finditer(doc_string):
a = False
for s in persian_result:
if range(max(s[0], match.start()), min(s[1], match.end())):
a = True
if not a:
if match[11] is not None:
christian_result.append([*match.span(), int(match[15]), int(match[13]), int(match[11])])
elif match[6] is not None:
christian_result.append([*match.span(), int(match[10]), int(match[8]), int(match[6])])
elif match[1] is not None:
christian_result.append([*match.span(), int(match[5]), int(match[3]), int(match[1])])
for match in persian_date_md_regex.finditer(doc_string):
if ngram_lookup(doc_string, match.start(), match.end(), keywords_date, 3) and \
not ngram_lookup(doc_string, match.start(), match.end(), keywords_date, 3):
a = False
for s in persian_result + christian_result:
if range(max(s[0], match.start()), min(s[1], match.end())):
a = True
if not a:
persian_result.append([*match.span(), int(match[3]), int(match[1])])
return [sorted(persian_result), sorted(christian_result)]
def date_to_text_persian(self, doc_string, finded_dates, christian_dates):
for i in range(len(finded_dates)):
finded_date = finded_dates[i]
str_date = ''
str_date += self.nn.convert_ordinary(finded_date[2]) + ' '
str_date += list(self.persian_month_dict.keys())[int(finded_date[3]) - 1] + ' '
if len(finded_date) == 5:
str_date += self.nn.convert(finded_date[4]) + ' '
if str_date and str_date[-1] != ' ':
str_date += ' '
start_date_index = finded_date[0]
end_date_index = finded_date[1]
doc_string = doc_string[:start_date_index] + str_date + doc_string[end_date_index:]
for j in range(i + 1, len(finded_dates)):
finded_dates[j][0] += len(str_date) - (end_date_index - start_date_index)
finded_dates[j][1] += len(str_date) - (end_date_index - start_date_index)
for j in range(i + 1, len(christian_dates)):
christian_dates[j][0] += len(str_date) - (end_date_index - start_date_index)
christian_dates[j][1] += len(str_date) - (end_date_index - start_date_index)
return doc_string, christian_dates
def date_to_text_christian(self, doc_string, finded_dates):
for i in range(len(finded_dates)):
finded_date = finded_dates[i]
str_date = ''
str_date += self.nn.convert_ordinary(finded_date[2]) + ' '
str_date += list(self.christian_month_dict.keys())[int(finded_date[3]) - 1] + ' '
if len(finded_date) == 5:
str_date += self.nn.convert(finded_date[4]) + ' '
if str_date and str_date[-1] != ' ':
str_date += ' '
start_date_index = finded_date[0]
end_date_index = finded_date[1]
doc_string = doc_string[:start_date_index] + str_date + doc_string[end_date_index:]
for j in range(i + 1, len(finded_dates)):
finded_dates[j][0] += len(str_date) - (end_date_index - start_date_index)
finded_dates[j][1] += len(str_date) - (end_date_index - start_date_index)
return doc_string
def normalize_dates(self, doc_string):
finded_dates = self.find_date_part(doc_string)
doc_string, finded_dates[1] = self.date_to_text_persian(doc_string, finded_dates[0], finded_dates[1])
doc_string = self.date_to_text_christian(doc_string, finded_dates[1])
return doc_string
def list2num(self, numerical_section_list):
value = 1
for index, el in enumerate(numerical_section_list):
if self.is_number(el):
value *= self.num_dict[el]
else:
value *= float(el)
return value
def convert2num(self, numerical_section_list):
value = 0
tmp_section_list = []
for index, el in enumerate(numerical_section_list):
if self.is_number(el) or (el.replace('.', '', 1).isdigit()):
tmp_section_list.append(el)
elif el == "و":
value += self.list2num(tmp_section_list)
tmp_section_list[:] = []
if len(tmp_section_list) > 0:
value += self.list2num(tmp_section_list)
tmp_section_list[:] = []
if value - int(value) == 0:
return int(value)
else:
return value
def is_number(self, word):
return word in self.num_dict
def find_number_location(self, token_list):
start_index = 0
number_section = []
for i, el in enumerate(token_list):
if self.is_number(el) or (el.replace('.', '', 1).isdigit()):
start_index = i
number_section.append(start_index)
break
i = start_index + 1
while i < len(token_list):
if token_list[i] == "و" and (i + 1) < len(token_list):
if self.is_number(token_list[i + 1]) or (token_list[i + 1].replace('.', '', 1).isdigit()):
number_section.append(i)
number_section.append(i + 1)
i += 2
else:
break
elif self.is_number(token_list[i]) or (token_list[i].replace('.', '', 1).isdigit()):
number_section.append(i)
i += 1
else:
break
return number_section
def normalize_numbers(self, token_list, converted=""):
for i, el in enumerate(token_list):
if el.endswith("ین") and self.is_number(el[:-2]):
token_list[i] = el[:-2]
finded = self.find_number_location(token_list)
if len(finded) == 0:
rest_of_string = " ".join(t for t in token_list)
return converted + " " + rest_of_string
else:
numerical_subsection = [token_list[x] for x in finded]
numerical_subsection = self.convert2num(numerical_subsection)
converted = converted + " " + " ".join(x for x in token_list[:finded[0]]) + " " + str(numerical_subsection)
new_index = finded[-1] + 1
return self.normalize_numbers(token_list[new_index:], converted)
class NumberNormalizer:
def __init__(self):
self.faBaseNum = {1: 'يك', 2: 'دو', 3: 'سه', 4: 'چهار', 5: 'پنج', 6: 'شِش', 7: 'هفت', 8: 'هشت', 9: 'نُه',
10: 'دَه', 11: 'يازده', 12: 'دوازده', 13: 'سيزده', 14: 'چهارده', 15: 'پانزده', 16: 'شانزده',
17: 'هفده', 18: 'هجده', 19: 'نوزده', 20: 'بيست', 30: 'سي', 40: 'چهل', 50: 'پنجاه', 60: 'شصت',
70: 'هفتاد', 80: 'هشتاد', 90: 'نود', 100: 'صد', 200: 'دويست', 300: 'سيصد', 500: 'پانصد'}
self.faBaseNumKeys = self.faBaseNum.keys()
self.faBigNum = ["يك", "هزار", "ميليون", "ميليارد"]
self.faBigNumSize = len(self.faBigNum)
def split3(self, st):
parts = []
n = len(st)
d, m = divmod(n, 3)
for i in range(d):
parts.append(int(st[n - 3 * i - 3:n - 3 * i]))
if m > 0:
parts.append(int(st[:m]))
return parts
def convert(self, st):
st = str(st)
if len(st) > 3:
parts = self.split3(st)
k = len(parts)
wparts = []
for i in range(k):
p = parts[i]
if p == 0:
continue
if i == 0:
wpart = self.convert(p)
else:
if i < self.faBigNumSize:
fa_order = self.faBigNum[i]
else:
fa_order = ''
(d, m) = divmod(i, 3)
t9 = self.faBigNum[3]
for j in range(d):
if j > 0:
fa_order += ""
fa_order += t9
if m != 0:
if fa_order != '':
fa_order = "" + fa_order
fa_order = self.faBigNum[m] + fa_order
wpart = fa_order if i == 1 and p == 1 else self.convert(p) + " " + fa_order
wparts.append(wpart)
return " وَ ".join(reversed(wparts))
# now assume that n <= 999
n = int(st)
if n in self.faBaseNumKeys:
return self.faBaseNum[n]
y = n % 10
d = int((n % 100) / 10)
s = int(n / 100)
# print s, d, y
dy = 10 * d + y
fa = ''
if s != 0:
if s * 100 in self.faBaseNumKeys:
fa += self.faBaseNum[s * 100]
else:
fa += (self.faBaseNum[s] + self.faBaseNum[100])
if d != 0 or y != 0:
fa += " وَ "
if d != 0:
if dy in self.faBaseNumKeys:
fa += self.faBaseNum[dy]
return fa
fa += self.faBaseNum[d * 10]
if y != 0:
fa += " وَ "
if y != 0:
fa += self.faBaseNum[y]
return fa
def convert_ordinary(self, arg):
if isinstance(arg, int):
num = arg
st = str(arg)
elif isinstance(arg, str):
num = int(arg)
st = arg
else:
raise TypeError('bad type "%s"' % type(arg))
if num == 1:
return 'اول' # OR 'یکم'fixme
elif num == 10:
return 'دهم'
norm_fa = self.convert(st)
if len(norm_fa) == 0:
return ''
if norm_fa.endswith(u'ی'):
norm_fa += u'ام'
elif norm_fa.endswith(u'سه'):
norm_fa = norm_fa[:-1] + u'وم'
else:
norm_fa += u'م'
return norm_fa
class PinglishNormalizer:
def __init__(self):
self.data_helper = DataHelper()
self.file_dir = os.path.dirname(os.path.realpath(__file__)) + "/"
self.en_dict_filename = self.file_dir + "resource/tokenizer/enDict"
self.en_dict = self.data_helper.load_var(self.en_dict_filename)
self.fa_dict_filename = self.file_dir + "resource/tokenizer/faDict"
self.fa_dict = self.data_helper.load_var(self.fa_dict_filename)
def pingilish2persian(self, pinglish_words_list):
for i, word in enumerate(pinglish_words_list):
if word in self.en_dict:
pinglish_words_list[i] = self.en_dict[word] # .decode("utf-8")
# inp = inp.replace(word, enDict[word], 1)
else:
ch = self.characterize(word)
pr = self.map_char(ch)
amir = self.make_word(pr)
for wd in amir:
am = self.escalation(wd)
asd = ''.join(am)
if asd in self.fa_dict:
pinglish_words_list[i] = asd # .decode("utf-8")
# inp = inp.replace(word, asd, 1)
inp = " ".join(x for x in pinglish_words_list)
return inp
def characterize(self, word):
list_of_char = []
i = 0
while i < len(word):
char = word[i]
sw_out = self.switcher(char)
if sw_out is None:
esp_out = None
if i < len(word) - 1:
esp_out = self.esp_check(word[i], word[i + 1])
if esp_out is None:
list_of_char.append(word[i])
else:
list_of_char.append(esp_out)
i += 1
else:
list_of_char.append(sw_out)
i += 1
return list_of_char
def switcher(self, ch):
switcher = {
"c": None,
"k": None,
"z": None,
"s": None,
"g": None,
"a": None,
"u": None,
"e": None,
"o": None
}
return switcher.get(ch, ch)
def esp_check(self, char1, char2):
st = char1 + char2
if st == "ch":
return "ch"
elif st == "kh":
return "kh"
elif st == "zh":
return "zh"
elif st == "sh":
return "sh"
elif st == "gh":
return "gh"
elif st == "aa":
return "aa"
elif st == "ee":
return "ee"
elif st == "oo":
return "oo"
elif st == "ou":
return "ou"
else:
return None
def map_char(self, word):
listm = []
sw_out = self.map_switcher(word[0])
i = 0
if sw_out is None:
listm.append(["ا"])
i += 1
if word[0] == "oo":
listm.append(["او"])
i += 1
while i < len(word):
listm.append(self.char_switcher(word[i]))
i += 1
if word[len(word) - 1] == "e":
listm.append(["ه"])
elif word[len(word) - 1] == "a":
listm.append(["ا"])
elif word[len(word) - 1] == "o":
listm.append(["و"])
elif word[len(word) - 1] == "u":
listm.append(["و"])
return listm
def map_switcher(self, ch):
switcher = {
"a": None,
"e": None,
"o": None,
"u": None,
"ee": None,
"ou": None
}
return switcher.get(ch, ch)
def make_word(self, chp):
word_list = [[]]
for char in chp:
word_list_temp = []
for tmp_word_list in word_list:
for chch in char:
tmp = copy.deepcopy(tmp_word_list)
tmp.append(chch)
word_list_temp.append(tmp)
word_list = word_list_temp
return word_list
def escalation(self, word):
tmp = []
i = 0
t = len(word)
while i < t - 1:
tmp.append(word[i])
if word[i] == word[i + 1]:
i += 1
i += 1
if i != t:
tmp.append(word[i])
return tmp
def char_switcher(self, ch):
switcher = {
'a': ["", "ا"],
'c': ["ث", "ص", "ص"],
'h': ["ه", "ح"],
'b': ["ب"],
'p': ["پ"],
't': ["ت", "ط"],
's': ["س", "ص", "ث"],
'j': ["ج"],
'ch': ["چ"],
'kh': ["خ"],
'q': ["ق", "غ"],
'd': ["د"],
'z': ["ز", "ذ", "ض", "ظ"],
'r': ["ر"],
'zh': ["ژ"],
'sh': ["ش"],
'gh': [",ق", "غ"],
'f': ["ف"],
'k': ["ک"],
'g': ["گ"],
'l': ["ل"],
'm': ["م"],
'n': ["ن"],
'v': ["و"],
'aa': ["ا"],
'ee': ["ی"],
'oo': ["و"],
'ou': ["و"],
'i': ["ی"],
'y': ["ی"],
' ': [""],
'w': ["و"],
'e': ["", "ه"],
'o': ["", "و"]
}
return switcher.get(ch, "")
class DictatioinNormalizer:
def __init__(self, zwnj_database_path='./Parsivar/resource/normalizer/N_cctt.txt',
compound_table_path='./Parsivar/resource/normalizer/Normalizer_WrongCompound.txt'):
self.zwnj_table, self.zwnj_type = self.load_zwnj_database(zwnj_database_path)
self.compound_table = self.load_compound_table(compound_table_path)
look_up_t_farsi_str = './g2p_resources/look_up_t_farsi_extra_of_ariana_b_punch_EN_extra_of_nevisa.pkl'
homograph_t_str = './g2p_resources/list_homograph.pkl'
with open(look_up_t_farsi_str, 'rb') as f:
self.look_up_t_farsi = pickle.load(f)
with open(homograph_t_str, 'rb') as f:
self.homograph = pickle.load(f)
self.half_space_data = [half_space_group for half_space_group in self.look_up_t_farsi
if isinstance(half_space_group, str) and re.findall('\u200c', half_space_group)] + \
[half_space_group for half_space_group in self.homograph
if isinstance(half_space_group, str) and re.findall('\u200c', half_space_group)]
self.half_space_data_splited = [word_group.split('\u200c') for word_group in self.half_space_data]
self.half_space_data_joined = dict()
for i in self.half_space_data_splited:
for j in range(len(i)):
for k in range(j + 1, len(i)):
self.half_space_data_joined["".join(i[j:k + 1])] = '\u200c'.join(i[j:k + 1])
def remove_extra_space_zwnj(self, doc_string):
extra_regex = re.compile(r'([\u0648\u0624\u062f\u0630\u0631\u0632\u0698\u0627'
r'\u0622\u0654\u0621\u0623\u0625\u0060][\u0627\u064b][\u0621\u064b])(\u200c)')
doc_string = extra_regex.sub('\1', doc_string)
extra_regex = re.compile(r'([\u0030-\u0039])(\u200c)')
doc_string = extra_regex.sub('\1', doc_string)
extra_regex = re.compile(r'(\u200c)([\u0030-\u0039])')
doc_string = extra_regex.sub('\2', doc_string)
extra_regex = re.compile(r'([a-z|A-Z])(\u200c)')
doc_string = extra_regex.sub('\1', doc_string)
extra_regex = re.compile(r'(\u200c)([a-z|A-Z])')
doc_string = extra_regex.sub('\2', doc_string)
extra_regex = re.compile(r'[\s]{2,}')
doc_string = extra_regex.sub(' ', doc_string)
extra_regex = re.compile(r'[\u200c]{2,}')
doc_string = extra_regex.sub('\u200c', doc_string)
extra_regex = re.compile(r'\u200c\s')
doc_string = extra_regex.sub(' ', doc_string)
extra_regex = re.compile(r'\s\u200c')
doc_string = extra_regex.sub(' ', doc_string)
return doc_string
def correct_compound(self, doc_string, neighborhood):
word_list = doc_string.split()
if neighborhood > len(word_list):
neighborhood = len(word_list)
output_list = []
i = 0
while i < len(word_list):
for j in range(neighborhood, 0, -1):
if i + j < len(word_list):
comp = " ".join(word_list[i:i + j])
else:
comp = " ".join(word_list[i:])
if comp in self.compound_table:
output_list.append(self.compound_table[comp])
i += j
break
else:
output_list.append(word_list[i])
i += 1
return " ".join(output_list)
def half_space_corrector(self, string):
word_list = string.split()
word_list = [word.strip('\u200c') for word in word_list]
word_index = 0
result = []
while word_index < len(word_list):
a=1
if word_list[word_index] in self.half_space_data_joined and \
word_list[word_index] not in self.look_up_t_farsi and word_list[word_index] not in self.homograph:
word_list[word_index] = self.half_space_data_joined[word_list[word_index]]
possible_words = [i for i in self.half_space_data_splited if word_list[word_index] == i[0]
and word_index + 1 < len(word_list) and word_list[word_index + 1] == i[1]]
best_words = [word_list[word_index]]
max_match = 0
if possible_words:
for j in possible_words:
for k in range(len(j)):
if k >= len(word_list):
break
if len(word_list) <= word_index+k or j[k] != word_list[word_index + k]:
break
if max_match < k:
max_match = k
best_words = j[:k + 1]
else:
if word_index + 1 < len(word_list) and (word_list[word_index + 1] in
['ام', 'ات', 'اش', 'مان', 'شان', 'تان', 'ايم', 'ايد', 'اند',
'اي', 'ها', 'هاي', 'هايي', 'هايم', 'هايشان', 'هايتان',
'هايمان', 'هايت', 'هايش', 'هائي' 'تر', 'ترين', 'ي', 'يي']
or word_list[word_index] in ['مي', 'نمي', 'برنمي', 'درمي',
'درنمي']):
best_words = [word_list[word_index], word_list[word_index + 1]]
max_match = 1
result.append('\u200c'.join(best_words))
word_index += max_match + 1
result = " ".join(result)
return result
def hamze_corrector(self, string):
word_list = string.split()
for word in word_list:
if word not in self.homograph + self.look_up_t_farsi:
pass
def load_zwnj_database(self, zwnj_database_file):
table_words = dict()
words_type = dict()
with open(zwnj_database_file, 'r') as f:
for line in f:
cols = line.split('\t')
connection_type = cols[0]
incorrect_word = cols[1]
correct_word = cols[2].replace(' ', '_')
table_words[incorrect_word.replace('\u200c', '^')] = correct_word
if connection_type in ["مجزا", "به قبلي", "به بعدي"]:
words_type[correct_word.replace('\u200c', '^')] = connection_type
return table_words, words_type
def is_english_grapheme(self, char):
return 'a' < char < 'z' or 'A' < char < 'Z'
def is_english_word(self, word):
return self.is_english_grapheme(word[0])
def is_punctuation(self, char):
return char in ['-', '=', '~', '!', '@', '#', '$', '%', '^', '&', '*', '(', ')', '_', '+', '[', '{', ']', '}',
':', ';', '\'', '\"', ',', '<', '.', '>', '/', '?', '|', '\\', '÷', '٬', '٫', '٪', '×', '،',
'»', '«', '؛', '؟', '…', '”', 'ˈ']
def join_words_without_rules(self, docstring):
words = docstring.split()
correct_docstring = []
for ind in range(len(words)):
word = words[ind]
table_word = word.replace('\u200c', '^')
if table_word in self.zwnj_type.keys():
if self.zwnj_type[table_word] == "مجزا":
correct_docstring.append(self.zwnj_table[table_word].replace('_', ' '))
elif self.zwnj_type[table_word] == "به قبلي":
if correct_docstring and not self.is_english_word(correct_docstring[-1]) \
and not self.is_punctuation(correct_docstring[-1][-1]):
correct_docstring.append('\u200c' + self.zwnj_table[table_word])
else:
correct_docstring.append(self.zwnj_table[table_word])
elif self.zwnj_type[table_word] == "به بعدي":
if ind < len(words) - 1 and not self.is_english_word(words[ind + 1]) \
and not self.is_punctuation(words[ind + 1][0]):
correct_docstring.append(self.zwnj_table[table_word] + '\u200c')
else:
correct_docstring.append(self.zwnj_table[table_word])
else:
correct_docstring.append(word)
return " ".join(correct_docstring)
def load_compound_table(self, compound_table_path):
compound_table = dict()
with open(compound_table_path, 'r') as f:
for line in f:
firstcol, secondcol = line.split('\t')
compound_table[firstcol] = secondcol
return compound_table
class TimeNormalizer:
def __init__(self, spanning=2):
self.numberNorm = NumberNormalizer()
self.spanning = spanning
def normalize_time(self, doc_string):
time_regex = re.compile(r'([0-9]|0[0-9]|1[0-9]|2[0-4])[\s]*([:\-])[\s]*([0-5][\d]|60)[\']?'
r'[\s]*(([:\-])[\s]*([0-5][\d]|60)[\"]?)?')
keywords_time1 = ['وقت', 'مدت', 'زمان']
keywords_time2 = ['عصر', 'شب', 'غروب', 'ظهر', 'صبح', 'ساعت', 'بامداد']
while time_regex.search(doc_string):
match = time_regex.search(doc_string)
if ngram_lookup(doc_string, match.start(), match.end(), keywords_time1, self.spanning) and \
not ngram_lookup(doc_string, match.start(), match.end(), keywords_time2, self.spanning):
if match[6] is not None:
hour = int(match[1])
minute = int(match[3])
second = int(match[6])
doc_string = self.time_duration_to_text_sec(doc_string, match.start(), match.end(),
hour, minute, second)
else:
hour = int(match[1])
minute = int(match[3])
doc_string = self.time_duration_to_text(doc_string, match.start(), match.end(), hour, minute)
else:
if match[6] is not None:
hour = int(match[1])
minute = int(match[3])
second = int(match[6])
doc_string = self.time_to_text_sec(doc_string, match.start(), match.end(), hour, minute, second)
else:
hour = int(match[1])
minute = int(match[3])
doc_string = self.time_to_text(doc_string, match.start(), match.end(), hour, minute)
return doc_string
def time_duration_to_text_sec(self, doc_string, start, end, hour, minute, second):
string = self.numberNorm.convert(hour) + ' ساعت وَ ' + self.numberNorm.convert(minute) + ' دقیقه وَ ' + \
self.numberNorm.convert(second) + ' ثانیه'
doc_string = doc_string[:start] + string + doc_string[end:]
return doc_string
def time_duration_to_text(self, doc_string, start, end, hour, minute):
string = self.numberNorm.convert(hour) + ' ساعت وَ ' + self.numberNorm.convert(minute) + ' دقیقه '
doc_string = doc_string[:start] + string + doc_string[end:]
return doc_string
def time_to_text_sec(self, doc_string, start, end, hour, minute, second):
string = self.numberNorm.convert(hour) + ' وَ ' + self.numberNorm.convert(minute) + ' وَ ' + \
self.numberNorm.convert(second) + ' ثانیه '
doc_string = doc_string[:start] + string + doc_string[end:]
return doc_string
def time_to_text(self, doc_string, start, end, hour, minute):
string = self.numberNorm.convert(hour) + ' وَ' \
' ' + self.numberNorm.convert(minute) + ' دقیقه '
doc_string = doc_string[:start] + string + doc_string[end:]
return doc_string
def ngram_lookup(doc_string, start, end, word_list, span):
result = False
for spanns in range(1, span):
if any(x in word_list for x in doc_string[:start].rsplit(maxsplit=spanns + 1)[-spanns:]):
result = True
if any(x in word_list for x in doc_string[end:].split(maxsplit=spanns + 1)[:spanns]):
result = True
return result
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