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

Llibre:
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

Any de publicació: 2022

Pàgines: 141-164

Tipus: Capítol de llibre

DIALNET GOOGLE SCHOLAR

Resum

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