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  • Thirty years of machine translation in language teaching and learning: A review of the literature

Sección IA: Inteligencia artificial Bibliografía

Thirty years of machine translation in language teaching and learning: A review of the literature

Jason R. Jolley
Luciane Maimone
2022
L2 Journal
14-1
26-44
https://doi.org/10.5070/L214151760
artículo
revisión bibliográfica
traducción automática
enseñanza/aprendizaje de lenguas
tecnología educativa
expresión escrita
adquisición de segundas lenguas
práctica docente
traducción
revisión de bibliografía
IA y enseñanza-aprendizaje de lenguas

Texto completo

Although use of machine translation (MT) technologies by learners may seem like a relatively new issue in foreign language (FL) education, researchers have been investigating connections between MT tools and FL teaching and learning for more than three decades, years before learners had access to free online services such as Google Translate. This literature review summarizes this rapidly expanding research domain both chronologically and thematically, identifying key concepts, insights, and findings and mapping them onto a framework inspired by questions commonly asked by both researchers and practitioners: How do learners use MT tools? What do instructors and learners think about MT? How might MT use affect language learning? How should instructors respond to MT use by learners? By summarizing and drawing connections between the assumptions, methods, and findings of key studies in these categories, this review provides a historical perspective and suggests new directions for future research.

Texto completo en abierto en eScholarship (CC BY-NC-ND 4.0).
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