How neural machine translation works

  1. Juan Antonio Pérez-Ortiz 1
  2. Mikel L. Forcada 1
  3. Felipe Sánchez-Martínez 1
  1. 1 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Libro:
Machine translation for everyone: empowering users in the age of artificial intelligence
  1. Dorothy Kenny (coord.)

Editorial: Language Science Press

ISBN: 978-3-98554-045-7

Año de publicación: 2022

Páginas: 141-164

Tipo: Capítulo de Libro

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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.

Fuente de los datos: Dialnet