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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
Demir, Cüneyt – Australian Journal of Applied Linguistics, 2020
Translation aims to transmit the original tone of the source text both syntactically and semantically accurate without losing the intent of a message. However, some syntactic considerations such as cases may pose a problem particularly if the source and target texts belong to different language typologies. Accordingly, this study investigated the…
Descriptors: Turkish, English (Second Language), Translation, Language Processing
Yuvayapan, Fatma; Yükselir, Ceyhun – International Journal of Curriculum and Instruction, 2021
Aside from learning the basic and common grammatical structures, English as foreign language learners ("hereafter EFL") have to be familiar with a wide range of lexical chunks called collocations. Being sensitive to collocations is the key of attaining a native-like fluency in English. The aim of this study is twofold: to explore the…
Descriptors: Student Attitudes, Second Language Learning, Second Language Instruction, English (Second Language)
Özkayran, Ali; Yilmaz, Emrullah – Advances in Language and Literary Studies, 2020
The aim of this study is to analyse the errors of higher education students in English writing tasks. In the study, the paragraphs in the exam papers of 57 preparatory class students, studying at a state university in Turkey in 2017-2018 academic year, were analysed. The study was conducted using qualitative research method. Case study was used in…
Descriptors: College Students, Error Analysis (Language), Case Studies, Second Language Learning
Qin, Ying – International Journal of Computer-Assisted Language Learning and Teaching, 2019
This study extracts the comments from a large scale of Chinese EFL learners' translation corpus to study the taxonomy of translation errors. Two unsupervised machine learning approaches are used to obtain the computational evidences of translation error taxonomy. After manually revision, ten types of English to Chinese (E2C) and eight types…
Descriptors: Taxonomy, Translation, Computer Assisted Instruction, Second Language Learning
Shilo, Gila; Ragonis, Noa – Journal of Further and Higher Education, 2019
A central issue in the design of curricula for all school levels is the development of the learners' high-order thinking skills and metacognitive skills. Among such required skills is the ability to solve problems. The literature dealing with the development of problem-solving skills is vast and primarily addresses the scientific disciplines, even…
Descriptors: Thinking Skills, Metacognition, Problem Solving, Linguistics
Watson, Annabel Mary; Newman, Ruth Malka Charlotte – Language Awareness, 2017
This study investigated the metalinguistic reflections of 12 students, aged 14-15 years, undertaking a unit of work focused on reading and writing non-fiction. The unit embedded contextualised grammar teaching into preparation for English Language examinations. Students were interviewed twice, with prompts to discuss a sample of argument text in…
Descriptors: Taxonomy, Metalinguistics, Syntax, Grammar
Brown, Dan – Language Teaching Research, 2016
Research on corrective feedback (CF), a central focus of second language acquisition (SLA), has increasingly examined how teachers employ CF in second language classrooms. Lyster and Ranta's (1997) seminal study identified six types of CF that teachers use in response to students' errors (recast, explicit correction, elicitation, clarification…
Descriptors: Second Language Learning, Metalinguistics, Error Correction, Feedback (Response)
Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
Falhasiri, Mohammad; Tavakoli, Mansoor; Hasiri, Fatemeh; Mohammadzadeh, Ali Reza – English Language Teaching, 2011
This study intends to shed light on the most occurring grammatical and lexical (pragmatic) errors which students make in their compositions. For this purpose, 23 male and female undergraduate students from different majors were asked to take part in the present study. Each week, for four weeks, students were asked to write 4 compositions on…
Descriptors: Error Correction, Feedback (Response), Teaching Methods, Grammar
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers