def moushakeel_V1(self,text,smooth_const):
t1 = time.time()
tool = MyToolKit()
hdb = DBHandler('data/model.db')
result = {}
hdb.connect()
result_teshkeel = []
result['token'] = 0
result['type'] = 0
for sent in tool.sents(text.strip(),["\n","\r",".",":",",",';'],subsent=['"',"'",'-']):
text = "# "+tool.normalizeArabicAlif(tool.DeleteDiacritic(sent))+" $"
list_words = tool.words(text)
#Récuperer les possibilités pour chaque mot
dict = {}
for word in list_words:
res = hdb.SelectOne('dictionary','type="'+word+'"',attribute='vocabularies')
if res == None: dict[word] = word
else : dict[word] = res[0]
dict['#'] = '#'
dict['$'] = '$'
possibilities = self.getPossibilities(list_words,dict)
max_p = 0
best_sent = ''
for possib in possibilities:
p = self.sentProbaility(possib,smooth_const)
if p > max_p :
p = max_p
best_sent = possib
result_teshkeel.append(' '.join(tool.words(best_sent)[1:len(tool.words(best_sent))-1]))
result['token'] = len(list_words)-2
result['type'] = len(dict)-2
result['result'] = result_teshkeel
result['time'] = round(time.time() - t1,2)
return result
def moushakeel_V2(self, text, smooth_const):
t1 = time.time()
tool = MyToolKit()
hdb = DBHandler('data/model.db')
result = {}
hdb.connect()
result_teshkeel = []
result['token'] = 0
result['type'] = 0
###################### Vocalisation by word #########################
for sent in tool.sents(text.strip(), ["\n", "\r", ".", ":", ",", ';'],
subsent=['"', "'", '-']):
#le replace a revoir, car il change un peut les mots (tatwil)
sent = "# " + tool.normalizeArabicAlif(
tool.DeleteDiacritic(sent)).replace('ـ', '') + " $"
list_words = tool.words(sent)
#Récuperer les possibilités pour chaque mot
dict = {}
for word in list_words:
res = hdb.SelectOne('dictionary',
'type="' + word + '"',
attribute='vocabularies')
if res == None: dict[word] = word
else: dict[word] = res[0]
dict['#'] = '#'
dict['$'] = '$'
#HMM
matrice = []
for word in list_words:
list_dict = []
for possib in tool.words(dict[word]):
if possib == "#": list_dict.append([-1, possib, 1])
else: list_dict.append([-1, possib, 0])
matrice.append(list_dict)
sent = self.Viterbi(matrice, smooth_const)
result_teshkeel.append(' '.join(
tool.words(sent)[1:len(tool.words(sent)) - 1]))
result['token'] += len(list_words) - 2
result['type'] += len(dict) - 2
#######################################################################
###################### Vocalisation by letter #########################
result_teshkeel = self.LettersVocaliser(result_teshkeel, smooth_const)
#######################################################################
result['result'] = result_teshkeel
result['time'] = round(time.time() - t1, 2)
return result
def DeletDiac(request):
t1 = time.time()
tool = MyToolKit()
result = {}
res = []
for sent in tool.sents(request.POST['text'].strip(),["\n","\r",".",":",",",';'],subsent=['"',"'",'-'])[0]:
res.append(tool.DeleteDiacritic(sent))
result['results'] = '<br>'.join(res)
result['time'] = round(time.time() - t1,2)
return HttpResponse(json.dumps(result),content_type="application/json")
def moushakeel_V2(self,text,smooth_const):
t1 = time.time()
tool = MyToolKit()
hdb = DBHandler('data/model.db')
result = {}
hdb.connect()
result_teshkeel = []
result['token'] = 0
result['type'] = 0
###################### Vocalisation by word #########################
for sent in tool.sents(text.strip(),["\n","\r",".",":",",",';'],subsent=['"',"'",'-']):
#le replace a revoir, car il change un peut les mots (tatwil)
sent = "# "+tool.normalizeArabicAlif(tool.DeleteDiacritic(sent)).replace('ـ','')+" $"
list_words = tool.words(sent)
#Récuperer les possibilités pour chaque mot
dict = {}
for word in list_words:
res = hdb.SelectOne('dictionary','type="'+word+'"',attribute='vocabularies')
if res == None: dict[word] = word
else : dict[word] = res[0]
dict['#'] = '#'
dict['$'] = '$'
#HMM
matrice = []
for word in list_words:
list_dict = []
for possib in tool.words(dict[word]):
if possib == "#":list_dict.append([-1,possib,1])
else : list_dict.append([-1,possib,0])
matrice.append(list_dict)
sent = self.Viterbi(matrice,smooth_const)
result_teshkeel.append(' '.join(tool.words(sent)[1:len(tool.words(sent))-1]))
result['token'] += len(list_words)-2
result['type'] += len(dict)-2
#######################################################################
###################### Vocalisation by letter #########################
result_teshkeel = self.LettersVocaliser(result_teshkeel,smooth_const)
#######################################################################
result['result'] = result_teshkeel
result['time'] = round(time.time() - t1,2)
return result
def moushakeel_V1(self, text, smooth_const):
t1 = time.time()
tool = MyToolKit()
hdb = DBHandler('data/model.db')
result = {}
hdb.connect()
result_teshkeel = []
result['token'] = 0
result['type'] = 0
for sent in tool.sents(text.strip(), ["\n", "\r", ".", ":", ",", ';'],
subsent=['"', "'", '-']):
text = "# " + tool.normalizeArabicAlif(
tool.DeleteDiacritic(sent)) + " $"
list_words = tool.words(text)
#Récuperer les possibilités pour chaque mot
dict = {}
for word in list_words:
res = hdb.SelectOne('dictionary',
'type="' + word + '"',
attribute='vocabularies')
if res == None: dict[word] = word
else: dict[word] = res[0]
dict['#'] = '#'
dict['$'] = '$'
possibilities = self.getPossibilities(list_words, dict)
max_p = 0
best_sent = ''
for possib in possibilities:
p = self.sentProbaility(possib, smooth_const)
if p > max_p:
p = max_p
best_sent = possib
result_teshkeel.append(' '.join(
tool.words(best_sent)[1:len(tool.words(best_sent)) - 1]))
result['token'] = len(list_words) - 2
result['type'] = len(dict) - 2
result['result'] = result_teshkeel
result['time'] = round(time.time() - t1, 2)
return result