Amharic text preprocessing. Hope this can help you.
# Amharic-Simple-Text-Preprocessing-Usin-Python
# Short Form Expansion and Character Level Normalization
import re
class normalize(object):
expansion_file_dir='' # assume you have file with list of short forms with their expansion as gazeter
short_form_dict={}
# Constructor
def __init__(self):
self.short_form_dict=self.get_short_forms()
def get_short_forms(self):
text=open(self.expansion_file_dir,encoding='utf8')
exp={}
for line in iter(text):
line=line.strip()
if not line: # line is blank
continue
else:
expanded=line.split("-")
exp[expanded[0].strip()]=expanded[1].replace(" ",'_').strip()
return exp
# method that expand short form file
def expand_short_form(self,input_short_word):
if input_short_word in self.short_form_dict:
return self.short_form_dict[input_short_word]
else:
return input_short_word
#method to normalize character level missmatch such as ጸሀይ and ፀሐይ
def normalize_char_level_missmatch(self,input_token):
rep1=re.sub('[ሃኅኃሐሓኻ]','ሀ',input_token)
rep2=re.sub('[ሑኁዅ]','ሁ',rep1)
rep3=re.sub('[ኂሒኺ]','ሂ',rep2)
rep4=re.sub('[ኌሔዄ]','ሄ',rep3)
rep5=re.sub('[ሕኅ]','ህ',rep4)
rep6=re.sub('[ኆሖኾ]','ሆ',rep5)
rep7=re.sub('[ሠ]','ሰ',rep6)
rep8=re.sub('[ሡ]','ሱ',rep7)
rep9=re.sub('[ሢ]','ሲ',rep8)
rep10=re.sub('[ሣ]','ሳ',rep9)
rep11=re.sub('[ሤ]','ሴ',rep10)
rep12=re.sub('[ሥ]','ስ',rep11)
rep13=re.sub('[ሦ]','ሶ',rep12)
rep14=re.sub('[ዓኣዐ]','አ',rep13)
rep15=re.sub('[ዑ]','ኡ',rep14)
rep16=re.sub('[ዒ]','ኢ',rep15)
rep17=re.sub('[ዔ]','ኤ',rep16)
rep18=re.sub('[ዕ]','እ',rep17)
rep19=re.sub('[ዖ]','ኦ',rep18)
rep20=re.sub('[ጸ]','ፀ',rep19)
rep21=re.sub('[ጹ]','ፁ',rep20)
rep22=re.sub('[ጺ]','ፂ',rep21)
rep23=re.sub('[ጻ]','ፃ',rep22)
rep24=re.sub('[ጼ]','ፄ',rep23)
rep25=re.sub('[ጽ]','ፅ',rep24)
rep26=re.sub('[ጾ]','ፆ',rep25)
#Normalizing words with Labialized Amharic characters such as በልቱዋል or በልቱአል to በልቷል
rep27=re.sub('(ሉ[ዋአ])','ሏ',rep26)
rep28=re.sub('(ሙ[ዋአ])','ሟ',rep27)
rep29=re.sub('(ቱ[ዋአ])','ቷ',rep28)
rep30=re.sub('(ሩ[ዋአ])','ሯ',rep29)
rep31=re.sub('(ሱ[ዋአ])','ሷ',rep30)
rep32=re.sub('(ሹ[ዋአ …