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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| 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 |