Results 211 to 220 of about 11,370 (266)

DeepL app: Effect on students’ vocabulary mastery

Indonesian Journal of Educational Development (IJED)
In the digital era, improving English vocabulary acquisition through technology-based tools has become increasingly urgent to meet the demands of modern language learning and curriculum integration. The research group investigated the impact of the DeepL
Muhammad Taufiqurrohman, Nina Sofiana
semanticscholar   +2 more sources

Accuracy Analysis of DeepL: Breakthroughs in Machine Translation Technology

Journal of English Education Forum (JEEF)
This study examines the accuracy and technological innovations of DeepL, a prominent machine translation tool. Through a comprehensive literature review, we analyze DeepL's performance compared to other translation systems, exploring its advanced neural ...
Mohamad Ihsan Kamaluddin, Moch. Wildan Khoerul Rasyid, F. H. Abqoriyyah, Andang Saehu   +3 more
semanticscholar   +2 more sources

Enhancing EFL Students’ Writing Skills: The Impact of Deepl Translation

Journal of Languages and Language Teaching
The integration of the DeepL translation tool as a method to enhance students' writing skills in EFL classrooms holds great potential. Its capability to provide accurate, context-sensitive translations can aid students in expanding their vocabulary and ...
Naftalia Fany Payung, Sukarno Sukarno
semanticscholar   +2 more sources

Comparative Analysis of Arabic Translation Results Between ChatGPT and Deepl

Tadris Al-'Arabiyyah: Jurnal Pendidikan Bahasa Arab dan Kebahasaaraban
The rapid advancement of artificial intelligence (AI) has significantly transformed translation studies, yet challenges persist in achieving semantic precision and syntactic fidelity in Arabic translation.
Annisa Fitria Allicia Jauhar, Agung Setiyawan   +1 more
semanticscholar   +2 more sources

A comparison of translation performance between DeepL and Supertext

arXiv.org
As strong machine translation (MT) systems are increasingly based on large language models (LLMs), reliable quality benchmarking requires methods that capture their ability to leverage extended context.
Alex Fluckiger, Chantal Amrhein, Tim Graf, Philippe Schlapfer, Florian Schottmann, Samuel Laubli   +5 more
semanticscholar   +3 more sources

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Post-Editing Efficiency And Quality Assessment: A Comparative Analysis Of Google Translate And DeepL

IOSR Journal of Humanities and Social Science
Neural Machine Translation (NMT) has revolutionized the translation industry by improving fluency, grammatical accuracy, and contextual understanding.
Mingjun Deng, Xianming Fan
semanticscholar   +1 more source

Google Translate versus DeepL in Spanish to English translation of Don Quixote

Translation and Translanguaging in Multilingual Contexts
This paper analyses the effectiveness of neural machine translation when applied to literary translation and, more specifically, to the translation of collocations, one of the most difficult aspects in machine translation (Corpas-Pastor 2015; Shraiden ...
Ana Ibáñez Moreno, María Esther Domínguez Mora   +1 more
semanticscholar   +1 more source

Turkish-to-English short story translation by DeepL: Human evaluation by trainees and translation professionals vs. automatic evaluation

English Studies at NBU
This mixed-methods study aims to evaluate the quality of Turkish-to-English literary machine translation by DeepL, incorporating both human and automatic evaluation metrics while engaging translation trainees and professional translators.
Halise Gülmüş Sırkıntı
semanticscholar   +1 more source

Contrastive Analysis of DeepL Translation vs. Google Translate’s Performance in Rendering Academic Texts: Insights from EFL Learners

JURNAL SERAMBI ILMU
Numerous online translation tools are available today to assist academic works. This study aimed to explore English students’ insights regarding two most popular translation tools, namely DeepL Translation and Google Translate in terms of accuracy ...
Sabrina Sabrina, Mina Fadhillah, Flora Oktaviani Chawdri, Cut Safara, Lara Juniarti   +4 more
semanticscholar   +1 more source

Translation Equivalence of Tourism Website Content: A Comparison Between Google Translate and DeepL Translate

Indonesian Journal of EFL and Linguistics
Translation serves as a bridge to overcome language barriers. This research compares the types of equivalence produced by Google Translate (GT) and DeepL Translate (DT) using Koller`s equivalence framework.
Euniq Putri Freskila, I. G. A. S. R. Jayantini   +1 more
semanticscholar   +1 more source