2026-05-13T16:19:22.952Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:7798 2025-06-17T06:17:35Z 1

Google Translate Accuracy Evaluation 2020 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/7798 http://portal.sinteza.singidunum.ac.rs/paper/745 D. Lunić N. Stanišić A. Njeguš I. Đerić Google Translate (GT), as the most used language translation application, has been significantly improved when an 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. conferenceObject 80 85 10.15308/Sinteza-2020-80-85 Proc. of International Scientific Conference on Information Technology and Data Related Research - Sinteza 2020