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Daniel Sbastian; Gloria Putri Waang – Journal of English Teaching, 2025
Technological advances have made the ability to translate no longer exclusively belong to humans. Today, machine translation has turned into a tool with superior performance to convert text between languages without the need for human intervention. One of the translation research foci is the studies of causative translation, especially from…
Descriptors: Novels, Translation, Indonesian, English (Second Language)
Sümeyra Tosun – Cognitive Research: Principles and Implications, 2024
Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…
Descriptors: Bilingualism, Turkish, English (Second Language), Second Language Learning
Jolley, Jason R.; Maimone, Luciane – L2 Journal, 2022
Although use of machine translation (MT) technologies by learners may seem like a relatively new issue in foreign language (FL) education, researchers have been investigating connections between MT tools and FL teaching and learning for more than three decades, years before learners had access to free online services such as Google Translate. This…
Descriptors: Computational Linguistics, Translation, Second Language Learning, Second Language Instruction
Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2023
With a significant number of students using machine translation (MT) for academic purposes in recent years, language teachers can no longer ignore it in their classrooms. Although an increasing number of studies have reported its pedagogical benefits, studies have also revealed that language teachers are still sceptical about using MT for various…
Descriptors: Instructional Effectiveness, Teaching Methods, Translation, Second Language Learning
Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
Mariusz Kruk; Agnieszka Kaluzna – European Journal of Education, 2025
The integration of artificial intelligence (AI) in L2 teaching and learning is poised to revolutionise educational practices by enhancing both instructional methods and language development for L2 learners. This study employed a mixed-methods design to comprehensively examine the impact of AI tools, machine translation systems, and traditional…
Descriptors: Artificial Intelligence, Translation, Language Skills, Emotional Experience
Abdelkareem Ali Abdelnaeim Mehany; Asmaa Ghanem Gheith – Online Submission, 2024
The present study attempted to examine the effect of using the connectivist approach on developing secondary-stage students' cross-cultural awareness and translation performance. The study comprised thirty-two first-year secondary stage students enrolled in El-Jalawea Institute, Sohag Governorate. The study adopted the quasi-experimental design.…
Descriptors: Cultural Awareness, Translation, Second Language Learning, Second Language Instruction
Hassan Saleh Mahdi; Yousef Sahari – International Journal of Information and Learning Technology, 2024
Purpose: Audio-visual translation (AVT) is recognized as the most vibrant type of translation. While AVT plays a vital function in the field of translation, its significance within cultural studies hasn't been thoroughly investigated. This research aims to uncover the predominant techniques employed in translating idiomatic expressions found in…
Descriptors: Computational Linguistics, Translation, Grammar, Second Language Learning
Powell, Natasha; Baldwin, Jeffrey; Manning, Jennifer – International Journal of Technology in Education and Science, 2022
As technology advances, and more students have constant access to cell phones, laptops and tablets inside the classroom, the use of machine translation (MT) by language learners will continue to rise. Therefore, in order for instructors to better design courses they should strive to understand how students are using machine translation, as well as…
Descriptors: STEM Education, Graduate Students, Foreign Countries, Computational Linguistics
Ryu, Jieun; Kim, Young Ae; Park, Seojin; Eum, Seungmin; Chun, Sojung; Yang, Sunyoung – L2 Journal, 2022
This study examines students' perceptions of the Guided Use of Machine Translation (GUMT) model and their perceptions of GUMT's impact on their foreign language (FL) writing. Adapted from O'Neill (2016, 2019b), GUMT model activities were developed and implemented in an upper-elementary Korean as a FL course at a large southwestern U.S. university.…
Descriptors: Student Attitudes, College Students, Korean, Second Language Instruction
Yanxia Yang – Education and Information Technologies, 2024
The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…
Descriptors: Translation, Computational Linguistics, Learning Processes, English (Second Language)
Organ, Alison – Language Learning Journal, 2023
This paper presents the findings of a research project on UK school students' attitudes to the use of Free Online Machine Translation for L2 production and more specifically in preparing for assessment. Data were collected from a publicly available online forum to analyse students' spontaneous discussion of the use of Free Online Machine…
Descriptors: Computer Software, Translation, Computer Mediated Communication, Modern Languages
Emily A. Hellmich; Kimberly Vinall – Language Learning & Technology, 2023
The use of machine translation (MT) tools remains controversial among language instructors, with limited integration into classroom practices. While much of the existing research into MT and language education has explored instructor perceptions, less is known about how students actually use MT or how student use compares to instructor beliefs and…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Computational Linguistics
Ohashi, Louise – Research-publishing.net, 2022
Machine Translation (MT) is receiving increasing attention within language education due to both its affordances and the potential it offers for academic misconduct. To understand more about teachers' views and practices, a survey was conducted with 153 foreign language (L2) educators who teach at Japanese universities. The survey examined their;…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Computational Linguistics
Botarleanu, Robert-Mihai; Dascalu, Mihai; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2020
A key writing skill is the capability to clearly convey desired meaning using available linguistic knowledge. Consequently, writers must select from a large array of idioms, vocabulary terms that are semantically equivalent, and discourse features that simultaneously reflect content and allow readers to grasp meaning. In many cases, a simplified…
Descriptors: Natural Language Processing, Writing Skills, Difficulty Level, Reading Comprehension