Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 5 |
| Since 2006 (last 20 years) | 6 |
Descriptor
Source
| L2 Journal | 2 |
| Business and Professional… | 1 |
| Computer Assisted Language… | 1 |
| Language Learning Journal | 1 |
| Language Teaching Research | 1 |
Author
| Azkarai, Agurtzane | 1 |
| Boettger, Ryan K. | 1 |
| Denié-Higney, Laurence | 1 |
| Emory Moore, Lindsay | 1 |
| Klekovkina, Vera | 1 |
| Lee, Sangmin-Michelle | 1 |
| Xu, Jun | 1 |
| Zabihi, Reza | 1 |
| del Pilar García Mayo, María | 1 |
Publication Type
| Journal Articles | 6 |
| Tests/Questionnaires | 6 |
| Reports - Research | 5 |
| Reports - Descriptive | 1 |
Education Level
| Higher Education | 5 |
| Postsecondary Education | 5 |
Audience
Location
| Iran | 1 |
| South Korea | 1 |
| Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkXu, Jun – L2 Journal, 2022
While the use of machine translation (MT) in the classroom has been explored from various perspectives, the relationship between language proficiency and MT use regarding learners' behaviors and beliefs remains unclear in the research literature. This study focused on four Japanese learners with various language proficiencies from a fourth-year…
Descriptors: Translation, Japanese, Language Proficiency, Second Language Learning
Klekovkina, Vera; Denié-Higney, Laurence – L2 Journal, 2022
Machine translation (MT) provides a seemingly accelerated alternative way to communicate in the target language (L2). A convenient service to the public, MT renders a potential disservice to language learners. In this pedagogically focused article, we show concrete and detailed examples of how language instructors can turn MT and other electronic…
Descriptors: Translation, Computational Linguistics, Interdisciplinary Approach, Writing Instruction
Boettger, Ryan K.; Emory Moore, Lindsay – Business and Professional Communication Quarterly, 2018
We investigated the perception and recognition of errors in a population of practitioners and academics in professional and technical communication. Specifically, we measured 303 participants' botheration levels of 24 usage errors and then correlated those results against their ability to recognize the errors. Results indicated that practitioners…
Descriptors: College Faculty, Error Patterns, Business Communication, Language Usage
Zabihi, Reza – Language Learning Journal, 2022
The study reported in this article examined the impact of task type on the ways in which learners resolve grammatical language-related episodes (LREs) and whether the level of engagement affects subsequent language development. Data were collected over a six-week period. Thirty-two Iranian second language (L2) learners were paired up to complete a…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Grammar
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
Azkarai, Agurtzane; del Pilar García Mayo, María – Language Teaching Research, 2015
This study examines whether task-modality (speaking vs. speaking+writing) influences first language (L1) use in task-based English as a foreign language (EFL) learner-learner interaction. Research on the topic has shown that different task-modality triggers different learning opportunities with collaborative speaking tasks drawing learners'…
Descriptors: English (Second Language), Second Language Learning, Task Analysis, Native Language
