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Vinall, Kimberly; Hellmich, Emily – L2 Journal, 2022
The world of language education is intimately and undeniably implicated in the presence, use, and development of machine translation software. On a classroom level, students are increasingly using machine translation in the classroom and in the "real world," through travel, study abroad, and work internships. On a professional level,…
Descriptors: Translation, Computational Linguistics, Second Languages, Language Processing
Tourmen, Claire; Hoffmann, Daniel – L2 Journal, 2022
Despite attempts to discourage the use of machine translation (MT), we have observed that students continue to rely on it. Are teachers powerless? We believe not! Consistent with a range of solutions proposed in previous publications, we hypothesized that a "hands-on" approach would be effective in helping students raise awareness of the…
Descriptors: Pilot Projects, Teaching Methods, Consciousness Raising, French
Pellet, Stephanie; Myers, Lindsy – L2 Journal, 2022
In this article, a learner-centered pedagogical process for scaffolding a deliberate use of MT is presented with the goal of promoting student agency and personal expression. By developing awareness that translations entail contextually-sensitive options, students learn to critically assess different forms while actively engaging with translation…
Descriptors: Translation, Metalinguistics, Feedback (Response), Student Centered 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