NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 18 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Öner Bulut, Senem; Alimen, Nilüfer – Interpreter and Translator Trainer, 2023
Motivated by the urgent need to investigate the possibilities for re-positioning the human translator and his/her educator in the machine translation (MT) age, this article explores the dynamics of the human-machine dance in the translation classroom. The article discusses the results of a collaborative learning experiment which was conducted in…
Descriptors: Translation, Teaching Methods, Self Efficacy, Second Languages
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
Mughaz, Dror; Cohen, Michael; Mejahez, Sagit; Ades, Tal; Bouhnik, Dan – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student's grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence…
Descriptors: Artificial Intelligence, Teaching Methods, Brain Hemisphere Functions, Grammar
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
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)
Munoz, Carlos A. – ProQuest LLC, 2011
Very often, second language (L2) writers commit the same type of errors repeatedly, despite being corrected directly or indirectly by teachers or peers (Semke, 1984; Truscott, 1996). Apart from discouraging teachers from providing error correction feedback, this also makes them hesitant as to what form of corrective feedback to adopt. Ferris…
Descriptors: Spanish, Error Correction, Second Language Learning, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Storch, Neomy; Wigglesworth, Gillian – Studies in Second Language Acquisition, 2010
The literature on corrective feedback (CF) that second language writers receive in response to their grammatical and lexical errors is plagued by controversies and conflicting findings about the merits of feedback. Although more recent studies suggest that CF is valuable (e.g., Bitchener, 2008; Sheen, 2007), it is still not clear whether direct or…
Descriptors: Feedback (Response), Instructional Effectiveness, Second Language Learning, Error Correction
Peer reviewed Peer reviewed
Direct linkDirect link
Holdich, C. E.; Chung, P. W. H.; Holdich, R. G. – Computers and Education, 2004
Children usually improve their writing in response to teacher comments. HARRY is a computer tutor, designed to assist children improve their narrative writing, focusing particularly upon grammar and style. Providing assistance involved identifying aspects of grammar and style on which to concentrate, including ways to enable the computer to detect…
Descriptors: Writing Improvement, Computer Assisted Instruction, Intervention, Editing
Peer reviewed Peer reviewed
Steinlage, Theresa M. – English Journal, 1990
Describes ways in which students can become better editors of their own writing by discovering their own error patterns. (RS)
Descriptors: Editing, English Instruction, Error Correction, Process Approach (Writing)
Previous Page | Next Page »
Pages: 1  |  2