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Peichin Chang; Pin-Ju Chen; Li-Ling Lai – Computer Assisted Language Learning, 2024
Machine Translation (MT) tools have advanced to a level of reliability such that it is now opportune to consider their place in language teaching and learning. Given their potential, the current study sought to engage EFL university sophomores in recursive editing afforded by Google Translate (GT) for one semester, and investigated (1) whether the…
Descriptors: Editing, Computer Software, Artificial Intelligence, Translation
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María Martínez-Adrián; Francisco Gallardo-del-Puerto – Language Teaching Research, 2024
Task modality (oral vs. writing) has been found to affect the production, nature and resolution of the language-related episodes (LREs) produced by adult learners in collaborative interaction, a finding also attested in very recent and still limited research with young learners, a population that deserves greater attention in the literature.…
Descriptors: Accuracy, Editing, Task Analysis, Oral Language
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Ralf Giessler – Language Awareness, 2024
This paper reports on a pilot study with advanced EFL learners in Germany who were asked to use ProWritingAid (PWA) for a composition task in a German comprehensive school. PWA is an Automated Writing Evaluation (AWE) tool that provides writers with feedback on grammar, spelling mistakes, and writing style during the writing and editing process.…
Descriptors: Writing Evaluation, Writing Instruction, Foreign Countries, English (Second Language)
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Koji Osawa – RELC Journal: A Journal of Language Teaching and Research, 2024
With the recent rapid technological advance, second language (L2) educators have increasingly incorporated technologies into writing pedagogy. Two of the major technologies to promote L2 writing are e-portfolios and automated written corrective feedback (AWCF). Notably, feedback-rich portfolios facilitate L2 learners' self-regulation and writing…
Descriptors: Artificial Intelligence, Computer Software, Writing Instruction, Writing Evaluation
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Dongkawang Shin; Yuah V. Chon – Language Learning & Technology, 2023
Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software
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Zhang, Hong; Torres-Hostench, Olga – Language Learning & Technology, 2022
The main purpose of this study is to evaluate the effectiveness of Machine Translation Post-Editing (MTPE) training for FL students. Our hypothesis was that with specific MTPE training, students will able to detect and correct machine translation mistakes in their FL. Training materials were developed to detect six typical mistakes from Machine…
Descriptors: Computational Linguistics, Translation, Second Language Learning, Second Language Instruction
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Chompurach, Wichuta – English Language Teaching, 2021
The present study aims to investigate how Thai EFL university students use Google Translate (GT) in English writing, how they post-edit (PE) its outputs, and how they view GT use in English writing. The participants were 15 third-year non-English major students from three universities in Thailand. The data collection tools were an interview and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Instructional Effectiveness
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Mirzaeian, Vahid R. – The EUROCALL Review, 2021
Although the field of machine translation has witnessed huge improvements in recent years, its potentials have not been fully exploited in other interdisciplinary areas such as foreign language teaching. The aim of this paper, therefore, is to report an experiment in which this technology was employed to teach a foreign language to a group of…
Descriptors: Translation, Computational Linguistics, Error Correction, Phrase Structure
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Bell, Philippa; Fortier, Véronique; Gauvin, Isabelle – Language Awareness, 2020
The role of L1 knowledge about language (L1KAL) in L2 teaching/learning has received little research attention despite its potential importance. In this study, 9 primary (aged 11) and 16 secondary (aged 15) school francophones working in dyads edited an English paragraph containing 19 errors whilst justifying each change. Their discussions were…
Descriptors: Native Language, Second Language Learning, Second Language Instruction, Teaching Methods
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Chen, Zhenzhen; Chen, Weichao; Jia, Jiyou; Le, Huixiao – Language Learning & Technology, 2022
Despite the growing interest in investigating the pedagogical application of Automated Writing Evaluation (AWE) systems, studies on the process of AWE-supported writing are still scant. Adopting activity theory as the framework, this qualitative study aims to examine how students incorporated AWE feedback into their writing in an English as a…
Descriptors: Writing Instruction, Writing Processes, Teaching Methods, Learning Strategies
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Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2020
Although it remains controversial, machine translation (MT) has gained popularity both inside and outside of the classroom. Despite the growing number of students using MT, little is known about its use as a pedagogical tool in the EFL classroom. The present study investigated the role of MT as a CALL tool in EFL writing. Most studies on MT as a…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
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Bonilla López, Marisela; Steendam, Elke; Speelman, Dirk; Buyse, Kris – Language Learning, 2018
This study investigated the potential of comprehensive corrective feedback forms as editing and learning tools and examined their effect on learners' cognitive and attitudinal engagement. Low-intermediate second language writers (N = 139) were randomly assigned to four experimental conditions (direct corrections of grammatical errors,…
Descriptors: Feedback (Response), Second Language Learning, Second Language Instruction, Error Correction
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Insai, Sakolkarn; Poonlarp, Tongtip – PASAA: Journal of Language Teaching and Learning in Thailand, 2017
During the process of translation, students need to learn how to detect and correct errors in their translation drafts, and collaboration among themselves is one possible way to do this. As Pym (2003) has explained, translation is a process of problem-solving; translators must be able to decide which choices are more or less appropriate for the…
Descriptors: Editing, Peer Evaluation, English (Second Language), Second Language Learning
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Li, Zhi; Hegelheimer, Volker – Language Learning & Technology, 2013
In this paper, we report on the development and implementation of a web-based mobile application, "Grammar Clinic," for an ESL writing class. Drawing on insights from the interactionist approach to Second Language Acquisition (SLA), the Noticing Hypothesis, and mobile-assisted language learning (MALL), "Grammar Clinic" was…
Descriptors: Second Language Learning, Grammar, Editing, English (Second Language)
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Mawlawi Diab, Nuwar – System: An International Journal of Educational Technology and Applied Linguistics, 2010
Previous research on the effects of peer-editing in bringing about language development generally examined the linguistic performance of only a few students and did not focus on specific language errors nor used a control group. To counteract these limitations, this study used a pre-test/post-test comparison group quasi-experimental design to…
Descriptors: Experimental Groups, Control Groups, Quasiexperimental Design, Sentence Structure
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