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preprocessing.py
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preprocessing.py
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import re
import functools
class StaticArray:
bn2en={'0985':'a','0986':'aa','0987':'i','0988':'ii',
'0989':'u','098A':'uu','098B':'r','09E0':'rr',
'098C':'l','09E1':'ll','098F':'e','0990':'ai',
'0993':'o','0994':'au',
'0995':'ka','0996':'kha','0997':'ga','0998':'gha',
'0999':'nga','099A':'ca','099B':'cha','099C':'ja',
'099D':'jha','099E':'nya','099F':'tta', '09A0':'ttha',
'09A1':'dda','09DC':'rra','09A2':'ddha','09DD':'rha',
'09A3':'nna','09A4':'ta','09A5':'tha','09A6':'da',
'09A7':'dha','09A8':'na','09AA':'pa','09AB':'pha',
'09AC':'ba','09AD':'bha','09AE':'ma','09AF':'ya',
'09DF':'yya','09B0':'ra','09B2':'la','09B6':'sha',
'09B7':'ssa','09B8':'sa','09B9':'ha','09CE':'ta',
'09BE':'aa','09BF':'i','09C0':'ii','09C1':'u',
'09C2':'uu','09C3':'r','09C4':'rr','09C7':'e',
'09C8':'ai', '09CB':'o','09CC':'au',
'09CD':'','09D7':'','09E6':'0',
'09E7':'1','09E8':'2','09E9':'3','09EA':'4',
'09EB':'5','09EC':'6','09ED':'7','09EE':'8',
'09EF':'9',
'09BC':'','0982':'n','0983':'','0981':''
}
bn2enNum={
'09E6': '0',
'09E7': '1', '09E8': '2', '09E9': '3', '09EA': '4',
'09EB': '5', '09EC': '6', '09ED': '7', '09EE': '8',
'09EF': '9'
}
bn2enPunc={
'09BE': 'a', '09BF': 'i', '09C0': 'i', '09C1': 'u',
'09C2': 'u', '09C3': 'r', '09C4': 'r', '09C7': 'e',
'09C8': 'ai', '09CB': 'o', '09CC': 'au','09B0':'ra'
}
bn2enSuffix={
'09BE': 'a', '09B0':'ra','09CB': 'o','0993':'o','09C7': 'e'
}
bn_norm={
'09C0':'\u09bf','09C2':'\u09c1','09C4':'\u09c3','09A3':'\u09a8','0988':'\u0987','098A':'\u0989'
}
bn_serial={
'0985': 0, '0986': 1, '09BE': 2, '0987': 3, '09BF': 4,'0988': 5, '09C0': 6,
'0989': 7, '09C1': 8, '098A': 9, '09C2': 10,'098B': 11,'09C3': 12, '09E0': 13,'09C4': 14,
'098C': 15, '09E1': 16, '098F': 17, '09C7': 18, '0990': 19,'09C8': 20,
'0993': 21, '09CB': 22, '0994': 23, '09CC': 24,
'0995': 25, '0996': 26, '0997': 27, '0998': 28,
'0999': 29, '099A': 30, '099B': 31, '099C': 32,
'099D': 33, '099E': 34, '099F': 35, '09A0': 36,
'09A1': 37, '09DC': 38, '09A2': 39, '09DD': 40,
'09A3': 41, '09A4': 42, '09A5': 43, '09A6': 44,
'09A7': 45, '09A8': 46, '09AA': 47, '09AB': 48,
'09AC': 49, '09AD': 50, '09AE': 51, '09AF': 52,
'09DF': 53, '09B0': 54, '09B2': 55, '09B6': 56,
'09B7': 57, '09B8': 58, '09B9': 59, '09CE': 60,
'09E6': 61,
'09E7': 62, '09E8': 63, '09E9': 64, '09EA': 65,
'09EB': 66, '09EC': 67, '09ED': 68, '09EE': 69,
'09EF': 70,
'09CD': 71, '09D7': 72,
'09BC': 73, '0982': 74, '0983': 75, '0981': 76
}
class ban_processing:
def punctuation_remove(self,text):
whitespace = re.compile(u"[\s\u0020\u00a0\u1680\u180e\u202f\u205f\u3000\u2000-\u200a]+", re.UNICODE)
bangla_fullstop = u"\u0964"
punctSeq = u"['\"“”‘’]+|[.?!,…]+|[:;]+"
punc = u"[(),$%^&*+={}\[\]:\"|\'\~`<>/,¦!?½£¶¼©⅐⅑⅒⅓⅔⅕⅖⅗⅘⅙⅚⅛⅜⅝⅞⅟↉¤¿º;-]+"
text = whitespace.sub(" ", text).strip()
text = re.sub(punctSeq, " ", text)
text = re.sub(bangla_fullstop, " ", text)
text = re.sub(punc, " ", text)
text = re.sub('[!"#$%&\'()*+,-./:;<=>?@[\]^_`{|}~]', ' ', text)
text=text.replace("\\", " ")
return text
def dust_removal(self,word):
s=""
for c in word:
g = c.encode("unicode_escape")
g = g.upper()
g = g[2:]
g = g.decode('utf-8')
if g in StaticArray.bn2en:
s+=c
return s
def stop_word_remove(self,text):
stopwords = []
for i in open("bn_nlp/dataset/stop_word.txt", "r"):
i = i.rstrip("\n")
stopwords.append(i)
querywords = text.split()
resultwords = [word for word in querywords if word not in stopwords]
result = ' '.join(resultwords)
return result
def add_stopword(self,text):
stopwords = []
for i in open("bn_nlp/dataset/stop_word.txt", "r"):
i = i.rstrip("\n")
stopwords.append(i)
stopwords.append(text)
file=open("bn_nlp/dataset/stop_word.txt", "wb")
for i in stopwords:
i=i+'\n'
file.write(i.encode('utf8'))
file.close()
def remove_stopword(selfself,text):
stopwords = []
for i in open("bn_nlp/dataset/stop_word.txt", "r"):
i = i.rstrip("\n")
stopwords.append(i)
file = open("bn_nlp/dataset/stop_word.txt", "wb")
for i in stopwords:
if i==text:
continue
i = i + '\n'
file.write(i.encode('utf8'))
file.close()
def last_num_remove(self,word):
if len(word)==0:
return word
c=word[0]
g = c.encode("unicode_escape")
g = g.upper()
g = g[2:]
g = g.decode('utf-8')
if g in StaticArray.bn2enNum:
return word
while True:
c=word[-1]
g = c.encode("unicode_escape")
g = g.upper()
g = g[2:]
g = g.decode('utf-8')
if g in StaticArray.bn2enNum:
word=word[:-1]
continue
break
return word
def word_normalize(self,word):
s = ""
for c in word:
g = c.encode("unicode_escape")
g = g.upper()
g = g[2:]
g = g.decode('utf-8')
if g in StaticArray.bn_norm:
g = StaticArray.bn_norm[g].encode().decode('utf-8')
s+=g
continue
s+=c
return s
def bn2enCon(self,word):
s=""
for c in word:
g=c.encode("unicode_escape")
g=g.upper()
g=g[2:]
g=g.decode('utf-8')
if g in StaticArray.bn2enPunc:
if len(s)>0 and s[-1]=='a':
s=s[:-1]
s+=StaticArray.bn2enPunc[g]
continue
if g in StaticArray.bn2en:
s+=StaticArray.bn2en[g]
return s
def bnCompare(self,item1,item2):
g1=self.bn2enCon(item1)
g2=self.bn2enCon(item2)
return (g1 > g2) - (g1 < g2)
def isBan(self,word):
for c in word:
g = c.encode("unicode_escape")
g = g.upper()
g = g[2:]
g = g.decode('utf-8')
if g in StaticArray.bn2en:
return True
return False
def bn_word_sort(self,vec):
temp_vec=[]
for i in vec:
if self.isBan(i):
i=self.dust_removal(i)
temp_vec.append(self.punctuation_remove(i).replace(' ',''))
vec=list(set(temp_vec))
vec=sorted(vec,key=functools.cmp_to_key(self.bnCompare))
return vec
def bnCompare2(self,item1,item2):
ln=min(len(item1),len(item2))
for i in range(ln):
if item1[i]==item2[i]:
continue
g1 = item1[i].encode("unicode_escape")
g1 = g1.upper()
g1 = g1[2:]
g1 = g1.decode('utf-8')
g1=StaticArray.bn_serial[g1]
g2 = item2[i].encode("unicode_escape")
g2 = g2.upper()
g2 = g2[2:]
g2 = g2.decode('utf-8')
g2=StaticArray.bn_serial[g2]
return (g1>g2) -(g1<g2)
return (len(item1)>len(item2))-(len(item1)<len(item2))
def bn_word_sort_bn_sys(self,vec):
temp_vec = []
for i in vec:
if self.isBan(i):
i = self.dust_removal(i)
temp_vec.append(self.punctuation_remove(i).replace(' ', ''))
vec = list(set(temp_vec))
vec = sorted(vec, key=functools.cmp_to_key(self.bnCompare2))
return vec