Zobrazeno 1 - 10
of 1 064
pro vyhledávání: '"Translate"'
Autor:
Rasouli, Fereydoon1 fereydoon.rasouli@cihanuniversity.edu.iq, Seyyedi, Keivan1, Soleimanzadeh, Soma2
Publikováno v:
Cihan University-Erbil Journal of Humanities & Social Sciences. 2024, Vol. 8 Issue 1, p7-14. 8p.
Autor:
Yilmaz, Erdem Dogukan1 yilmaz@rsm.nl, Naumovska, Ivana2 ivana.naumovska@insead.edu, Aggarwal, Vikas A.2 vikas.aggarwal@insead.edu
Publikováno v:
INSEAD Working Papers Collection. 2023, Issue 24, p1-59. 60p.
Autor:
López González, Ángela María1 angelalopez816@hotmail.com, Pinzón Alarcón, Laura Victoria1 plaura1507@gmail.com
Publikováno v:
Revista Panorama. jul-dic2023, Vol. 17 Issue 33, p67-80. 14p.
Autor:
Weeks, John (AUTHOR) john.weeks@imd.org
Publikováno v:
Administrative Science Quarterly. Jun2022, Vol. 67 Issue 2, pNP24-NP26. 3p.
Autor:
Alrajhi, Assim S.1 arajhy@qu.edu.sa
Publikováno v:
ReCALL. Sep2023, Vol. 35 Issue 3, p305-320. 16p.
Autor:
Borsatti, Débora1 deborsatti@gmail.com, Blanco Riess, Adriana1 adrianariess@unisc.br
Publikováno v:
Revista de Estudos da Linguagem. abr-jun2021, Vol. 29 Issue 2, p829-858. 30p.
Autor:
Zahra Fakher Ajabshir
Publikováno v:
Journal of Modern Research in English Language Studies, Vol 11, Iss 4, Pp 79-96 (2024)
Recently, the use of machine translation (MT) to support second language (L2) writing has increased. Since translation quality via MT matures every year, updated studies are required. The present study explored the quality of MT (Google Translate)
Externí odkaz:
https://doaj.org/article/f2437e6e7c1c4c3c905f10c64789ac09
Publikováno v:
Lectura: Jurnal Pendidikan, Vol 15, Iss 2, Pp 365-379 (2024)
Translation is an activity in which students learn and transfer meaning from English to Indonesian, or vice versa. This research aims at determining the perception of English study program students towards the use of Google Translate for writing assi
Externí odkaz:
https://doaj.org/article/6cc2ccec4c2f4454b33b8693a71bc90c
Publikováno v:
Revista de Llengua i Dret - Journal of Language and Law, Pp 88-105 (2024)
Training neural machine translation systems with noisy data has been shown to improve robustness (Heigold et al., 2018). The objective of the present study is to test Google Translate and DeepL performance in the detection and correction of typograph
Externí odkaz:
https://doaj.org/article/073e76fa738448739a8d65b6788744c7
Publikováno v:
Asalibuna, Vol 7, Iss 02, Pp 60-74 (2024)
This research aims to reveal the inconsistencies of machine translation from the perspective of students who use web-based Google Translate in their Arabic thesis. This research has an impact on translation machine users from Arabic teachers and rese
Externí odkaz:
https://doaj.org/article/7a0afff9038540eeafc62dc8f076fa45