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Hanne Roothooft; Amparo Lázaro-Ibarrola; Bram Bulté – Language Teaching Research, 2025
Second language (L2) writing research has demonstrated that young learners discuss linguistic issues, make use of feedback, and show a generally positive disposition toward writing tasks. However, many issues deserve further investigation. Regarding task implementation, few studies have been conducted with young learners writing individually, and…
Descriptors: Error Correction, Feedback (Response), Accuracy, Writing Instruction
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
Lee, Sangmin-Michelle; Briggs, Neil – ReCALL, 2021
In recent years, marked gains in the accuracy of machine translation (MT) outputs have greatly increased its viability as a tool to support the efforts of English as a foreign language (EFL) students to write in English. This study examines error corrections made by 58 Korean university students by comparing their original L2 texts to that of MT…
Descriptors: Translation, Computational Linguistics, Second Language Learning, Second Language Instruction
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
Gupton, Timothy; Sánchez Calderón, Silvia – Second Language Research, 2023
We examine the second language (L2) acquisition of variable Spanish word order by first language (L1) speakers of English via the acquisition of unaccusative and transitive predicates in various focus-related contexts. We employ two bimodal linguistic tasks: (1) acceptability judgment task (B-AJT) and (2) appropriateness preference task (B-APT).…
Descriptors: Spanish, Second Language Learning, Second Language Instruction, Language Proficiency
Waer, Hanan – Innovation in Language Learning and Teaching, 2023
Recent years have witnessed an increased interest in automated writing evaluation (hereafter AWE). However, few studies have examined the use of AWE with apprehensive writers. Hence, this study extends research in this area, investigating the effect of using AWE on reducing writing apprehension and enhancing grammatical knowledge. The participants…
Descriptors: Writing Evaluation, Writing Apprehension, English (Second Language), Second Language Learning
Gaillat, Thomas; Lafontaine, Antoine; Knefati, Anas – CALICO Journal, 2023
In this article, we focus on the design of a second language (L2) formative feedback system that provides linguistic complexity graph reports on the writings of English for special purposes students at the university level. The system is evaluated in light of formative instruction features pointed out in the literature. The significance of…
Descriptors: Language Proficiency, English (Second Language), Second Language Learning, Second Language Instruction
Valizadeh, Mohammadreza; Soltanpour, Fatemeh – Eurasian Journal of Applied Linguistics, 2021
This experimental study, using a pretest-treatment-posttest design, compared the effects of focused direct written corrective feedback and additional writing practice on L2 learners' written syntactic complexity. The participants were 60 Iranian elementary EFL learners, whose L2 proficiency as well as L2 writing syntactic complexity and accuracy…
Descriptors: Error Correction, Feedback (Response), Teaching Methods, Second Language Learning
DeKeyser, Robert M., Ed.; Botana, Goretti Prieto, Ed. – Language Learning & Language Teaching, 2019
This book is unique in bringing together studies on instructed second language acquisition that focus on a common question: "What renders this research particularly relevant to classroom applications, and what are the advantages, challenges, and potential pitfalls of the methodology adopted?" The empirical studies feature experimental,…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Decision Making
Tokdemir Demirel, Elif; Kazazoglu, Semin – Online Submission, 2015
This study reports on the results of classroom research investigating the effects of using data-driven learning methods by students in revising their writing errors. The main purpose of the study is to examine to what extent is consulting a corpus effective in correcting lexical errors in their writing. It has been found in previous research that…
Descriptors: Computational Linguistics, Second Language Learning, Second Language Instruction, Teaching Methods
Jafarpour, Ali Akbar; Sharifi, Abolghasem – Teaching English with Technology, 2012
Collocations are one of the most important elements in language proficiency but the effect of error correction feedback of collocations has not been thoroughly examined. Some researchers report the usefulness and importance of error correction (Hyland, 1990; Bartram & Walton, 1991; Ferris, 1999; Chandler, 2003), while others showed that error…
Descriptors: Error Correction, Feedback (Response), Phrase Structure, Language Proficiency
Gilmore, Alex – ELT Journal, 2009
Large corpora such as the British National Corpus and the COBUILD Corpus and Collocations Sampler are now accessible, free of charge, online and can be usefully incorporated into a process writing approach to help develop students' writing skills. This article aims to familiarize readers with these resources and to show how they can be usefully…
Descriptors: Writing Skills, Process Approach (Writing), Computational Linguistics, Internet