Improving neural machine translation with POS-tag features for low-resource language pairs

Integrating linguistic features has been widely utilized in statistical machine translation (SMT) systems, resulting in improved translation quality. However, for low-resource languages such as Thai and Myanmar, the integration of linguistic features in neural machine translation (NMT) systems has y...

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Detalles Bibliográficos
Autores principales: Hlaing, Zar Zar, Thu, Ye Kyaw, Supnithi, Thepchai, Netisopakul, Ponrudee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404341/
https://www.ncbi.nlm.nih.gov/pubmed/36033261
http://dx.doi.org/10.1016/j.heliyon.2022.e10375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404341/
https://www.ncbi.nlm.nih.gov/pubmed/36033261
http://dx.doi.org/10.1016/j.heliyon.2022.e10375

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