Results 221 to 230 of about 11,370 (266)
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DeepL Translate can be a scaffold to speaking fluency: Technology Acceptance Model (TAM)
EDULEC EDUCATION LANGUAGE AND CULTURE JOURNALThe numerous applications bring benefits to students; the fact that students spend more time using existing technology and demonstrate mastery of information technology allows instructors to motivate students who are unmotivated to speak. Lecturers have
Muhammad Chairil Imran +4 more
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Jurnal JOEPALLT (Journal of English Pedagogy Linguistics Literature and Teaching)
This research aims to determine the effect of using DeepL on EFL students' writing skills. An explanatory sequential mixed-methods design with quasi experimental and open-ended interviews was used in this research. Through purposive sampling, seventy-one
Luh Desi Purnamawati +2 more
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This research aims to determine the effect of using DeepL on EFL students' writing skills. An explanatory sequential mixed-methods design with quasi experimental and open-ended interviews was used in this research. Through purposive sampling, seventy-one
Luh Desi Purnamawati +2 more
semanticscholar +1 more source
Journal of Digital Business and Information Technology
In the era of digital globalization, the demand for accurate and efficient translation tools has grown significantly. Advances in artificial intelligence (AI) have given rise to various automated translation platforms that facilitate cross-lingual ...
Haji Abdul Karim
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In the era of digital globalization, the demand for accurate and efficient translation tools has grown significantly. Advances in artificial intelligence (AI) have given rise to various automated translation platforms that facilitate cross-lingual ...
Haji Abdul Karim
semanticscholar +1 more source
Jurnal JOEPALLT (Journal of English Pedagogy Linguistics Literature and Teaching)
The purpose of this study is to determine whether the use of DeepL in learning can have an impact on students' ability to write English and to find out how the implementation of DeepL impacts students' writing ability.
Syfa Wahida Maryam +2 more
semanticscholar +1 more source
The purpose of this study is to determine whether the use of DeepL in learning can have an impact on students' ability to write English and to find out how the implementation of DeepL impacts students' writing ability.
Syfa Wahida Maryam +2 more
semanticscholar +1 more source
Jurnal Onoma Pendidikan Bahasa dan Sastra
Penelitian ini bertujuan membandingkan kualitas terjemahan Qaṣīdat al-Burdah karya Imam al-Būṣīrī antara penerjemah manusia (Abdullah Azzam bin Azlan) dan mesin (DeepL Translator).
Syarifah Nurul Ma’rifah +2 more
semanticscholar +1 more source
Penelitian ini bertujuan membandingkan kualitas terjemahan Qaṣīdat al-Burdah karya Imam al-Būṣīrī antara penerjemah manusia (Abdullah Azzam bin Azlan) dan mesin (DeepL Translator).
Syarifah Nurul Ma’rifah +2 more
semanticscholar +1 more source
Student Writings with DeepL: Teacher Evaluations and Implications for Teaching
JALT Postconference Publication, 2022Technological changes have the power to disrupt standard educational practices. One recent advancement is neural machine translation (NMT) systems such as Google Translate and DeepL which due to their widespread use have already impacted foreign language education. To explore the effect of NMTs on student essay writing and teachers’ evaluation of it, a
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Evaluation von Übersetzungen wirtschaftlicher Fachtexte in DeepL
2020Maschinelle Übersetzungssysteme sind in der heutigen schnelllebigen Welt als Hilfsmittel für das stetig wachsende Übersetzungsvolumen unabdingbar. Der neueste Ansatz dafür ist die neuronale maschinelle Übersetzung (NMÜ). In dieser Arbeit werden wirtschaftliche Fachtexte unterschiedlicher Komplexität genutzt, die vorher in die Schwierigkeitsstufen ...
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Deskripsi Bahasa
The rapid advancement of machine translation today is influenced by the progress in human intelligence. For instance, DeepL, as a translation machine, is considered highly accurate.
U. Hasanah +4 more
semanticscholar +1 more source
The rapid advancement of machine translation today is influenced by the progress in human intelligence. For instance, DeepL, as a translation machine, is considered highly accurate.
U. Hasanah +4 more
semanticscholar +1 more source
Linguistica
This study focuses on investigating semantic errors in English to Indonesian translation using DeepL Translate, with the aim of evaluating the extent of semantic accuracy of this translation tool.
Sahmiral Amri Raja Guk Guk +2 more
semanticscholar +1 more source
This study focuses on investigating semantic errors in English to Indonesian translation using DeepL Translate, with the aim of evaluating the extent of semantic accuracy of this translation tool.
Sahmiral Amri Raja Guk Guk +2 more
semanticscholar +1 more source
Analele Universității de Vest. Seria Științe Filologice
Machine translation has gained much traction in the last decade, but research has been rather English-or Western-centric. This study looks at the errors produced by a public neural machine translation system (DeepL) when translating a European Parliament
Alina Rădoi
semanticscholar +1 more source
Machine translation has gained much traction in the last decade, but research has been rather English-or Western-centric. This study looks at the errors produced by a public neural machine translation system (DeepL) when translating a European Parliament
Alina Rădoi
semanticscholar +1 more source