Improving Neural Machine Translation for Low Resource Algerian Dialect by Transductive Transfer Learning Strategy

This study is the first work on a transductive transfer learning approach for low-resource neural machine translation applied to the Algerian Arabic dialect. The transductive approach is based on a fine-tuning transfer learning strategy that transfers knowledge from the parent model to the child mod...

Descripción completa

Detalles Bibliográficos
Autores principales: Slim, Amel, Melouah, Ahlem, Faghihi, Usef, Sahib, Khouloud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research Article-Computer Engineering and Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821805/
https://www.ncbi.nlm.nih.gov/pubmed/35155062
http://dx.doi.org/10.1007/s13369-022-06588-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821805/
https://www.ncbi.nlm.nih.gov/pubmed/35155062
http://dx.doi.org/10.1007/s13369-022-06588-w

Ejemplares similares