498 lines
22 KiB
Python
Executable File
498 lines
22 KiB
Python
Executable File
from indicnlp.tokenize import sentence_tokenize
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from .transliteration_resources import azure_transliteration, indic_trans, om_transliterator, libindic, indic_transliteration_IAST, indic_transliteration_ITRANS, sheetal,unicode_transliteration_GURMUKHI,indic_transliteration_GURMUKHI,transliteration_LATIN_CYRILLIC,indic_transliteration_TELUGU
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def google_length_checker(t, temp_sentence, t0):
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if len(t.split()) >= len(temp_sentence.split()):
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return t
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elif len(t.split()) == len(temp_sentence.split())-1:
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final_t = t+ " " + t0.split()[-1]
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return final_t
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elif len(t.split()) == len(temp_sentence.split())-2:
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final_t = t+ " " + t0.split()[-2] + " " + t0.split()[-1]
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return final_t
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else:
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return t
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def Halant_remover(T3):
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if T3[-1] == "्":
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return T3[:-1]
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else: return T3
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def dial_comparison_transliteration_rom_dev_ph1_sentence_wise(text, source_lang, source_script, dest_script):
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source_lang = "hi"
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sources_name = {'0':'Azure', '1':'indic_trans', '2':'google', '3':'indic_trans_IAST'}
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etc_punctuation =["", " . . .", " . .", " . . ”"]
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sentences=sentence_tokenize.sentence_split(text, lang='en')
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priority_list =['Azure', 'indic_trans', 'google', 'indic_trans_IAST']
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transliterated_text=[]
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for sentence in sentences:
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if sentence in etc_punctuation:
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continue
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print("original_sentence", sentence)
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temp_sentence = punct_remover(sentence)
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print("sentence_without_punctuation", temp_sentence)
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t00 = azure_transliteration(temp_sentence, source_lang, source_script, dest_script)
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print(t00)
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t11 = indic_trans(temp_sentence, source_script, dest_script)
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print(t11)
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t = google(temp_sentence, 'en', 'hi')
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#print("btw", t)
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t22 = google_length_checker(t, temp_sentence, t00)
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print("T22 transliteration",t22)
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t33 = indic_transliteration_IAST(temp_sentence)
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print(t33)
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Out= []
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outputs = []
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for i in range(len(temp_sentence.split())):
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word = temp_sentence.split()[i]
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# print("test of trasnliteration",i)
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T0 = t00.split()[i]
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# print("test of trasnliteration T0",T0)
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# print("test of trasnliteration T11",t11)
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T1 = t11.split()[i]
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# print("test of trasnliteration T1",T1)
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# print("test of trasnliteration T22",t22)
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T2 = t22.split()[i]
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# print("test of trasnliteration T2",T2)
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T3 = t33.split()[i]
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T3 = Halant_remover(T3)
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outputs=[T0, T1, T2, T3]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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Out.append(out)
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trans_sent_wo_punct = " ".join(Out)
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print("trans_sent_wo_punct", trans_sent_wo_punct)
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transliterated_sentence = final_transliterated_sentence(sentence, trans_sent_wo_punct)
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print("trans_sent_w_punct", transliterated_sentence)
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transliterated_text.append(transliterated_sentence)
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_dev_rom_ph1_sentence_wise(text, source_lang, source_script, dest_script):
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# sources_name = {'0':'indic_trans', '1':'Azure', '2':'libindic', '3':'sheetal', '4':'ritwik'}
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sources_name = {'0':'indic_trans', '1':'Azure', '2':'libindic', '3':'sheetal'}
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# priority_list =['indic_trans', 'Azure', 'ritwik', 'sheetal', 'libindic']
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priority_list =['indic_trans', 'Azure', 'sheetal', 'libindic']
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etc_punctuation =["", " . . .", " . .", " . . ”"]
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sentences=sentence_tokenize.sentence_split(text, lang='hi')
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transliterated_text=[]
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for sentence in sentences:
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#if sentence == "" or sentence == " . . ." or sentence == " . ." or sentence ==" . . ”":
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if sentence in etc_punctuation:
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continue
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print("original_sentence", sentence)
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temp_sentence = punct_remover(sentence)
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print("sentence_without_punctuation", temp_sentence)
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t0 = indic_trans(temp_sentence, source_script, dest_script)
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print(t0)
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t1 = azure_transliteration(temp_sentence, source_lang, source_script, dest_script)
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print(t1)
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t2 = libindic(temp_sentence, dest_script).rstrip()
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print(t2)
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t3 = sheetal(temp_sentence).replace('\n','')
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print(t3)
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# t4 = ritwik(temp_sentence).replace('\n','').rstrip()
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# print(t4)
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Out= []
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outputs = []
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for i in range(len(temp_sentence.split())):
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word = temp_sentence.split()[i]
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T0 = t0.split()[i]
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T1 = t1.split()[i]
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T2 = t2.split()[i]
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T3 = t3.split()[i]
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# T4 = t4.split()[i]
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# outputs=[T0, T1, T2, T3, T4]
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outputs=[T0, T1, T2, T3]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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Out.append(out)
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trans_sent_wo_punct = " ".join(Out)
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print("trans_sent_wo_punct", trans_sent_wo_punct)
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transliterated_sentence = final_transliterated_sentence(sentence, trans_sent_wo_punct)
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print("trans_sent_w_punct", transliterated_sentence)
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transliterated_text.append(transliterated_sentence)
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_dev_rom_ph1(text, source_lang, source_script, dest_script):
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#sources_name = {'0':'indic_trans', '1':'Azure', '2':'libindic', '3':'sheetal', '4':'ritwik'}
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sources_name = {'0':'indic_trans', '1':'Azure', '2':'libindic', '3':'sheetal'}
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sentences=sentence_tokenize.sentence_split(text, lang='hi')
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#priority_list =['indic_trans', 'Azure', 'ritwik, 'sheetal', 'libindic']
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priority_list =['indic_trans', 'Azure', 'sheetal', 'libindic']
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transliterated_text=[]
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for sentence in sentences:
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if sentence == "" or sentence == " . . ." or sentence == " . ." or sentence ==" . . ”":
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continue
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print(sentence)
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OUT=[]
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for word in sentence.split():
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if word==".":
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continue
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print(word)
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t0 = indic_trans(word, source_script, dest_script)
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#print(t0)
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t1 = azure_transliteration(word, source_lang, source_script, dest_script)
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#print(t1)
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t2 = libindic(word, dest_script).rstrip()
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#print(t2)
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t3 = sheetal(word).replace('\n','')
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#print(t3)
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#t4 = ritwik(word).replace('\n','').rstrip()
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#print(t4)
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# outputs=[t0, t1, t2, t3, t4]
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outputs=[t0, t1, t2, t3]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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OUT.append(out)
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transliterated_text.append(" ".join(OUT))
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_arbic_to_rom_ph1(text, source_lang, source_script, dest_script):
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print("hello")
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sources_name = {'0':'indic_trans', '1':'Azure', '2':'buck_2_unicode'}
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sentences=sentence_tokenize.sentence_split(text, lang='en')
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priority_list =['indic_trans', 'Azure', 'buck_2_unicode' ]
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transliterated_text=[]
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for sentence in sentences:
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if sentence == "" or sentence == " . . ." or sentence == " . ." or sentence ==" . . ”":
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continue
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print(sentence)
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OUT=[]
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for word in sentence.split():
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if word==".":
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continue
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print(word)
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t0 = indic_trans(word, source_script, dest_script)
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t1 = azure_transliteration(word, source_lang, source_script, dest_script)
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t2 = buck_2_unicode(word)
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outputs=[t0, t1, t2]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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OUT.append(out)
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transliterated_text.append(" ".join(OUT))
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_kann_to_rom_ph1(text, source_lang, source_script, dest_script):
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print("hello")
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sources_name = {'0':'om_transliteration', '1':'indic_trans', '2':'libindic', '3':'Azure'}
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sentences=sentence_tokenize.sentence_split(text, lang='en')
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priority_list =['om_transliteration', 'indic_trans', 'libindic', 'Azure']
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transliterated_text=[]
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for sentence in sentences:
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if sentence == "" or sentence == " . . ." or sentence == " . ." or sentence ==" . . ”":
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continue
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print(sentence)
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OUT=[]
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for word in sentence.split():
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if word==".":
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continue
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print(word)
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t0 = om_transliterator(word)
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t1 = indic_trans(word, source_script, dest_script)
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t2 = libindic(word, dest_script)
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t3 = azure_transliteration(word, source_lang, source_script, dest_script)
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outputs=[t0, t1, t2, t3]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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OUT.append(out)
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transliterated_text.append(" ".join(OUT))
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_tamil_to_rom_ph1(text, source_lang, source_script, dest_script):
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print("hello")
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sources_name = {'0':'Azure', '1':'libindic', '2':'indic_trans', }
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sentences=sentence_tokenize.sentence_split(text, lang='en')
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priority_list =['Azure', 'libindic', 'indic_trans']
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transliterated_text=[]
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for sentence in sentences:
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if sentence == "" or sentence == " . . ." or sentence == " . ." or sentence ==" . . ”":
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continue
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print(sentence)
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OUT=[]
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for word in sentence.split():
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if word==".":
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continue
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print(word)
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t0 = azure_transliteration(word, source_lang, source_script, dest_script)
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t2 = libindic(word, dest_script)
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t1 = indic_trans(word, source_script, dest_script)
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outputs=[t0, t1, t2]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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OUT.append(out)
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transliterated_text.append(" ".join(OUT))
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_beng_tel_mal_to_rom_ph1(text, source_lang, source_script, dest_script):
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print("hello gujarati to latin")
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sources_name = {'0':'Azure', '1':'indic_trans', '2':'libindic'}
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sentences=sentence_tokenize.sentence_split(text, lang='en')
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priority_list =['Azure', 'indic_trans', 'libindic']
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transliterated_text=[]
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for sentence in sentences:
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if sentence == "" or sentence == " . . ." or sentence == " . ." or sentence ==" . . ”":
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continue
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#print(sentence)
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OUT=[]
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for word in sentence.split():
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if word==".":
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continue
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print(word)
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t0 = azure_transliteration(word, source_lang, source_script, dest_script)
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t1 = indic_trans(word, source_script, dest_script)
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t2 = libindic(word, dest_script)
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outputs=[t0, t1, t2]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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OUT.append(out)
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transliterated_text.append(" ".join(OUT))
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_latin_gurmukhi(text,source_lang, source_script, dest_script):
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source_lang = "pa"
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sources_name = {'0':'Azure', '1':'indic_trans', '2':'indic_trans_IAST'}
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etc_punctuation =["", " . . .", " . .", " . . ”"]
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sentences=sentence_tokenize.sentence_split(text, lang='en')
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priority_list =['Azure', 'indic_trans', 'indic_trans_IAST']
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transliterated_text=[]
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for sentence in sentences:
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if sentence in etc_punctuation:
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continue
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temp_sentence = punct_remover(sentence)
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t00 = azure_transliteration(temp_sentence, source_lang, source_script, dest_script)
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t11 = indic_transliteration_GURMUKHI(temp_sentence)
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t22 = unicode_transliteration_GURMUKHI(temp_sentence)
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Out= []
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outputs = []
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for i in range(len(temp_sentence.split())):
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word = temp_sentence.split()[i]
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T0 = t00.split()[i]
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T1 = t11.split()[i]
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T2 = t22.split()[i]
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outputs=[T0, T1, T2]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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Out.append(out)
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trans_sent_wo_punct = " ".join(Out)
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transliterated_sentence = final_transliterated_sentence(sentence, trans_sent_wo_punct)
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transliterated_text.append(transliterated_sentence)
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_latin_cyrillic(text,source_lang, source_script, dest_script):
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source_lang = "bg"
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sources_name = {'0':'Azure', '1':'indic_trans'}
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etc_punctuation =["", " . . .", " . .", " . . ”"]
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sentences=sentence_tokenize.sentence_split(text, lang='en')
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priority_list =['Azure', 'indic_trans']
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transliterated_text=[]
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for sentence in sentences:
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if sentence in etc_punctuation:
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continue
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temp_sentence = punct_remover(sentence)
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t00 = azure_transliteration(temp_sentence, source_lang, source_script, dest_script)
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t11 = transliteration_LATIN_CYRILLIC(temp_sentence)
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#t22 = polygot(text)
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Out= []
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outputs = []
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for i in range(len(temp_sentence.split())):
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word = temp_sentence.split()[i]
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T0 = t00.split()[i]
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T1 = t11.split()[i]
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#T2 = t22.split()[i]
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outputs=[T0, T1]
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#outputs=[T0, T1, T2]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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Out.append(out)
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trans_sent_wo_punct = " ".join(Out)
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transliterated_sentence = final_transliterated_sentence(sentence, trans_sent_wo_punct)
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transliterated_text.append(transliterated_sentence)
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_latin_telugu_sentence_wise(text, source_lang, source_script, dest_script):
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source_lang = "te"
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sources_name = {'0':'indic_trans', '1':'Azure'}
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priority_list =['indic_trans', 'Azure',]
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etc_punctuation =["", " . . .", " . .", " . . ”"]
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sentences=sentence_tokenize.sentence_split(text, lang='hi')
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transliterated_text=[]
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for sentence in sentences:
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#if sentence == "" or sentence == " . . ." or sentence == " . ." or sentence ==" . . ”":
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if sentence in etc_punctuation:
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continue
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print("original_sentence", sentence)
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temp_sentence = punct_remover(sentence)
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print("sentence_without_punctuation", temp_sentence)
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t0 = indic_transliteration_TELUGU(temp_sentence)
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print(t0)
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t1 = azure_transliteration(temp_sentence, source_lang, source_script, dest_script)
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print(t1)
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Out= []
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outputs = []
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for i in range(len(temp_sentence.split())):
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word = temp_sentence.split()[i]
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T0 = t0.split()[i]
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T1 = t1.split()[i]
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outputs=[T0, T1]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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Out.append(out)
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trans_sent_wo_punct = " ".join(Out)
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print("trans_sent_wo_punct", trans_sent_wo_punct)
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transliterated_sentence = final_transliterated_sentence(sentence, trans_sent_wo_punct)
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print("trans_sent_w_punct", transliterated_sentence)
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transliterated_text.append(transliterated_sentence)
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_gurmukhi_latin_sentence_wise(text, source_lang, source_script, dest_script):
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source_lang = "pa"
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sources_name = {'0':'indic_trans', '1':'Azure', '2':'unicode'}
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priority_list =['indic_trans', 'Azure', 'unicode']
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etc_punctuation =["", " . . .", " . .", " . . ”"]
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sentences=sentence_tokenize.sentence_split(text, lang='hi')
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transliterated_text=[]
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for sentence in sentences:
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#if sentence == "" or sentence == " . . ." or sentence == " . ." or sentence ==" . . ”":
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if sentence in etc_punctuation:
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continue
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print("original_sentence", sentence)
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temp_sentence = punct_remover(sentence)
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print("sentence_without_punctuation", temp_sentence)
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t0 = indic_transliteration_GURMUKHI_LATIN(temp_sentence)
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print(t0)
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t1 = azure_transliteration(temp_sentence, source_lang, source_script, dest_script)
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print(t1)
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t2 = unicode_transliteration_GURMUKHI_LATIN(temp_sentence).rstrip()
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print(t2)
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Out= []
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outputs = []
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for i in range(len(temp_sentence.split())):
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word = temp_sentence.split()[i]
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T0 = t0.split()[i]
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T1 = t1.split()[i]
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T2 = t2.split()[i]
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outputs=[T0, T1, T2]
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out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
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Out.append(out)
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trans_sent_wo_punct = " ".join(Out)
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print("trans_sent_wo_punct", trans_sent_wo_punct)
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transliterated_sentence = final_transliterated_sentence(sentence, trans_sent_wo_punct)
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print("trans_sent_w_punct", transliterated_sentence)
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transliterated_text.append(transliterated_sentence)
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return " ".join(transliterated_text)
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def dial_comparison_transliteration_cyrilic_latin_sentence_wise(text, source_lang, source_script, dest_script):
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print("cyrillic to latin")
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source_lang = "bg"
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sources_name = {'0':'indic_trans', '1':'Azure', '2':'unicode'}
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priority_list =['indic_trans', 'Azure', 'unicode']
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etc_punctuation =["", " . . .", " . .", " . . ”"]
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sentences=sentence_tokenize.sentence_split(text, lang='hi')
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|
|
|
transliterated_text=[]
|
|
for sentence in sentences:
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|
#if sentence == "" or sentence == " . . ." or sentence == " . ." or sentence ==" . . ”":
|
|
if sentence in etc_punctuation:
|
|
continue
|
|
|
|
print("original_sentence", sentence)
|
|
temp_sentence = punct_remover(sentence)
|
|
print("sentence_without_punctuation", temp_sentence)
|
|
|
|
t0 = azure_transliteration(temp_sentence, source_lang, source_script, dest_script)
|
|
print("t0",t0)
|
|
t1 = transliteration_CYRILIC_LATIN(temp_sentence)
|
|
print("t1",t1)
|
|
t2 = ConvertToLatin(temp_sentence)
|
|
print("t2",t2)
|
|
|
|
Out= []
|
|
outputs = []
|
|
for i in range(len(temp_sentence.split())):
|
|
word = temp_sentence.split()[i]
|
|
T0 = t0.split()[i]
|
|
T1 = t1.split()[i]
|
|
T2 = t2.split()[i]
|
|
outputs=[T0, T1, T2]
|
|
out = compare_outputs_transliteration(word, outputs, sources_name, priority_list)
|
|
Out.append(out)
|
|
trans_sent_wo_punct = " ".join(Out)
|
|
print("trans_sent_wo_punct", trans_sent_wo_punct)
|
|
|
|
transliterated_sentence = final_transliterated_sentence(sentence, trans_sent_wo_punct)
|
|
print("trans_sent_w_punct", transliterated_sentence)
|
|
transliterated_text.append(transliterated_sentence)
|
|
|
|
return " ".join(transliterated_text)
|
|
|
|
|
|
|
|
def transliterate(dest_script,src_script,src_lang,text):
|
|
trans_text=text ###initialise nahi karo
|
|
if dest_script == "Latin" and src_script == "Devanagari":
|
|
# trans_text = dial_comparison_transliteration_dev_rom_ph1(text, src_lang, src_script,dest_script)
|
|
trans_text=dial_comparison_transliteration_dev_rom_ph1_sentence_wise(text, src_lang, src_script,dest_script)
|
|
elif dest_script == "Devanagari" and src_script == "Latin":
|
|
trans_text = dial_comparison_transliteration_rom_dev_ph1(text, src_lang, src_script,dest_script)
|
|
#trans_text=dial_comparison_transliteration_rom_dev_ph1_sentence_wise(text, src_lang, src_script,dest_script)
|
|
elif dest_script == "Latin" and src_script == "Arabic":
|
|
trans_text = dial_comparison_transliteration_arbic_to_rom_ph1(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Latin" and src_script == "Kannada":
|
|
trans_text = dial_comparison_transliteration_kann_to_rom_ph1(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Latin" and src_script == "Tamil":
|
|
trans_text = dial_comparison_transliteration_tamil_to_rom_ph1(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Latin" and src_script == "Bengali":
|
|
trans_text = dial_comparison_transliteration_beng_tel_mal_to_rom_ph1(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Latin" and src_script == "Telugu":
|
|
trans_text = dial_comparison_transliteration_beng_tel_mal_to_rom_ph1(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Latin" and src_script == "Malayalam":
|
|
trans_text = dial_comparison_transliteration_beng_tel_mal_to_rom_ph1(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Gurmukhi" and src_script == "Latin":
|
|
trans_text = dial_comparison_transliteration_latin_gurmukhi(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Cyrillic" and src_script == "Latin":
|
|
trans_text = dial_comparison_transliteration_latin_cyrillic(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Telugu" and src_script == "Latin":
|
|
trans_text = dial_comparison_transliteration_latin_telugu_sentence_wise(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Latin" and src_script == "Gurmukhi":
|
|
trans_text = dial_comparison_transliteration_gurmukhi_latin_sentence_wise(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Latin" and src_script == "Cyrillic":
|
|
trans_text = dial_comparison_transliteration_cyrilic_latin_sentence_wise(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Latin" and src_script == "Gujarati":
|
|
print("Gujarti to latin hoga")
|
|
trans_text = dial_comparison_transliteration_beng_tel_mal_to_rom_ph1(text, src_lang, src_script,dest_script )
|
|
elif dest_script == "Latin" and src_script == "Oriya":
|
|
trans_text = dial_comparison_transliteration_beng_tel_mal_to_rom_ph1(text, src_lang, src_script,dest_script )
|
|
return trans_text |