A neural machine translation system for Galician fromtransliterated Portuguese t ext

John E. Ortega ^[1] ; Iria de-Dios-Flores ^[1] ; José Ramom Pichel ^[1] ; Pablo Gamallo ^[1]
1. [1] Universidade de Santiago de Compostela
  
  Universidade de Santiago de Compostela
  
  Santiago de Compostela, España
Localización: SEPLN-PD 2022: Annual Conference of the Spanish Association for Natural Language Processing 2022: Projects and Demonstrations / Miguel Á. Alonso (ed. lit.), Margarita Alonso-Ramos (ed. lit.), Carlos Gómez Rodríguez (ed. lit.), David Vilares Calvo (ed. lit.), Jesús Vilares (ed. lit.), 2022, págs. 92-95
Idioma: inglés
Títulos paralelos:
- Un sistema de tradución neuronal para el gallego a partir de texto portugués transliterado
Enlaces
- Texto completo (pdf)

Resumen
- 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.