Machine translation for language learners

Alice Carré ^[3] ; Dorothy Kenny ^[1] ; Caroline Rossi ^[3] ; Pilar Sánchez- Gijón ^[2] ; Olga Torres-Hostench ^[2]
1. [1] Dublin City University
  
  Dublin City University
  
  Irlanda
2. [2] Universitat Autònoma de Barcelona
  
  Universitat Autònoma de Barcelona
  
  Barcelona, España
3. [3] Université Grenoble-Alpes
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Localización: Machine translation for everyone: empowering users in the age of artificial intelligence / coord. por Dorothy Kenny, 2022, ISBN 978-3-98554-045-7, págs. 187-207
Idioma: español
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Resumen
- Machine Translation (MT) has been controversial in second and foreign language learning, but the strategic integration of MT might be beneficial to language learning in certain contexts. In this chapter we discuss the conditions in which MT can be useful in language learning, set out digital alternatives to MT, and provide examples of how MT can support language learners.