Google Translate Accuracy Evaluation

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: 1327 )
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 Radovi sa konferencija

Preuzimanje citata:

BibTeX format 
@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}
}
RefWorks Tagged format 
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
Unapred formatirani prikaz citata
D. Lunić, N. Stanišić, A. Njeguš and I. Đerić, Google Translate Accuracy Evaluation, Univerzitet Singidunum, Beograd, 2020, doi:10.15308/Sinteza-2020-80-85