Google Translate Accuracy Evaluation
Google Translate Accuracy Evaluation
Autori:
Izdanje: International Scientific Conference on Information Technology and Data Related Research
DOI: 10.15308/Sinteza-2020-80-85
Oblast: Modern Technologies in Language Teaching
Stranice: 80-85
Apstrakt:
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.
Ključne reči: Google Translate (GT), machine translate (MT), accuracy, human interpreter, education
Priložene datoteke:
- 80-85 ( veličina: 345,74 KB, broj pregleda: 1330 )
Kategorije objave:
Radovi na konferenciji Sinteza 2020, Beograd, Srbija
Radovi na konferenciji SITCON 2015, Beograd, Serbija
Radovi na konferenciji SITCON 2016, Beograd, Serbija
Radovi na konferenciji SITCON 2017, Beograd, Srbija
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@article{article, author = {D. Lunić, N. Stanišić, A. Njeguš and I. Đerić}, title = {Google Translate Accuracy Evaluation}, journal = {International Scientific Conference on Information Technology and Data Related Research}, year = 2020, pages = {80-85}, doi = {10.15308/Sinteza-2020-80-85} }
RT Conference Proceedings A1 Darija Lunić A1 Nemanja Stanišić A1 Angelina Njeguš A1 Ivana Đerić T1 Google Translate Accuracy Evaluation AD Univerzitet Singidunum, Beograd, Beograd, Srbija YR 2020 NO doi: 10.15308/Sinteza-2020-80-85
D. Lunić, N. Stanišić, A. Njeguš and I. Đerić, Google Translate Accuracy Evaluation, Univerzitet Singidunum, Beograd, 2020, doi:10.15308/Sinteza-2020-80-85