A neural machine translation system for Galician fromtransliterated Portuguese t ext

  1. John E. Ortega 1
  2. Iria de-Dios-Flores 1
  3. José Ramom Pichel 1
  4. Pablo Gamallo 1
  1. 1 Centro de Investigación en Tecnoloxías da Información (CITIUS), Universidad de Santiago de Compostela, Spain
Libro:
SEPLN-PD 2022: Annual Conference of the Spanish Association for Natural Language Processing 2022: Projects and Demonstrations
  1. Miguel A. Alonso (ed. lit.)
  2. Margarita Alonso-Ramos (ed. lit.)
  3. Carlos Gómez-Rodríguez (ed. lit.)
  4. David Vilares (ed. lit.)
  5. Jesús Vilares (ed. lit.)

Editorial: CEUR Workshop Proceedings

Ano de publicación: 2022

Páxinas: 92-95

Tipo: Capítulo de libro

DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Resumo

We present a neural machine translation (NMT) system for translating both Spanish and English to Galician(��–�� and ��–��). Galician is a language closely related to Portuguese, with low to medium resources,spoken in northwestern Spain. Our NMT system is trained on large-scale synthetic �� → � � → �� and�� → � � → �� parallel corpora created by the spelling transliteration of Portuguese to Galician from ahigh-quality Spanish to Portuguese (��–� �) and English to Portuguese (��–� �) translation memories. TheNMT system is then made available via a public web interface at https://demos.citius.usc.es/nos_tradutor.

Fonte de datos: Dialnet