Google Translate Accuracy Evaluation


DOI: https://doi.org/10.15308/Sinteza-2020-80-85
Authors:
Darija Lunić
Nemanja Stanišić
Angelina Njeguš
Ivana Đerić

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Keywords:
Google Translate (GT), machine translate (MT), accuracy, human interpreter, education.


Abstract:
Google Translate (GT), as the most used language translation application, has been significantly improved when artificial neural network (ANN) based Neural Machine Translate System was introduced. The purpose of this paper is to evaluate the translation accuracy of the GT system when used for education purposes. The text in the English language is translated into two languages, by professional human translators and by GT. It is IT related text and refers to computer networks. Students' comprehension of the given text is evaluated regarding language fluency, adequacy, meaning and severity.

CITATION:

IEEE format

D. Lunić, N. Stanišić, A. Njeguš, I. Đerić, “Google Translate Accuracy Evaluation,” in Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2020, pp. 80-85. doi:10.15308/Sinteza-2020-80-85

APA format

Lunić, D., Stanišić, N., Njeguš, A., Đerić, I. (2020). Google Translate Accuracy Evaluation. Paper presented at Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2020-80-85

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