53 lines
2.0 KiB
Python
53 lines
2.0 KiB
Python
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from translation_resources import ibm_watson, google, aws, azure, lingvanex, yandex
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from final_translation1.py import compare_outputs
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def dial_comparison_ph1a(text, source_lang, target_lang):
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print(source_lang)
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print(target_lang)
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translated_text=[]
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sources_name = {'0':'Google', '1':'AWS', '2':'Azure', '3':'Lingvanex', '4':'Yandex'}
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sentences=sentence_tokenize.sentence_split(text, lang=source_lang)
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for sentence in sentences:
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print(sentence)
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if sentence == "":
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continue
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t0 = google(sentence, source_lang, target_lang)
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#print(t0)
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t1 = aws(sentence, source_lang, target_lang)
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#print(t1)
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t2 = azure(sentence, target_lang)
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#print(t2)
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t3 = lingvanex(sentence, source_lang, target_lang)
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#print(t3)
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t4 = yandex(sentence, source_lang, target_lang)
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#print(t4)
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trans = {'0':t0, '1':t1, '2':t2, '3':t3, '4':t4}
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trans_text = compare_outputs(sentence, t0, trans, sources_name)
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translated_text.append(trans_text)
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return " ".join(translated_text)
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def dial_comparison_ph1b(text, source_lang, target_lang):
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translated_text=[]
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sources_name = {'0':'Google', '1':'IBM_Watson', '2':'AWS', '3':'Azure', '4':'Lingvanex', '5':'Yandex'}
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sentences=sentence_tokenize.sentence_split(text, lang=source_lang)
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for sentence in sentences:
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print(sentence)
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if sentence == "":
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continue
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t0 = google(sentence, source_lang, target_lang)
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#print(t0)
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t1 = ibm_watson(sentence, source_lang, target_lang)
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#print(t1)
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t2 = aws(sentence, source_lang, target_lang)
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#print(t2)
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t3 = azure(sentence, target_lang)
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#print(t3)
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t4 = lingvanex(sentence, source_lang, target_lang)
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#print(t4)
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t5 = yandex(sentence, source_lang, target_lang)
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#print(t5)
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trans = {'0':t0, '1':t1, '2':t2, '3':t3, '4':t4, '5':t5}
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trans_text = compare_outputs(sentence, t0, trans, sources_name)
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translated_text.append(trans_text)
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return " ".join(translated_text)
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