A Comparative Study of English-Persian Translation of Neural Google Translation
Publish Year: 1396
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJALS-9-0_017
تاریخ نمایه سازی: 30 آبان 1400
Abstract:
Many studies abroad have focused on neural machine translation and almost all concluded that this method was much closer to humanistic translation than machine translation. Therefore, this paper aimed at investigating whether neural machine translation was more acceptable in English-Persian translation in comparison with machine translation. Hence, two types of text were chosen to be translated by Google Translate. The inputs have been translated in two distinctive methods. The outputs were investigated by the descriptive-comparative human analysis model of Keshavarz. Consequently, the results revealed that approximately the same errors were found in both methods. However, semantic aspects were improved.
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Authors
Mina Zand Rahimi
Shahid Bahonar University of Kerman
Moein Madayenzadeh
Shahid Bahonar University of Kerman
Mahdi Alizadeh
Shahid Bahonar University of Kerman