How neural machine translation works

• Juan Antonio Pérez-Ortiz ^[1] ; Mikel L. Forcada ^[1] ; Felipe Sánchez-Martínez ^[1]
  1. [1] Universitat d'Alacant

     Universitat d'Alacant

     Alicante, España

     
• 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. 141-164
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • This chapter presents the main principles behind neural machine translation systems. We introduce, one by one, key concepts used to describe these systems, so that the reader achieves a comprehensive view of their inner workings and possibilities. These concepts include: neural networks, learning algorithms, word embeddings, attention, and the encoder–decoder architecture.