Augmented words to improve a deep learning-based Indonesian syllabification()

Recent deep learning-based syllabification models generally give low error rates for high-resource languages with big datasets but sometimes produce high error rates for the low-resource ones. In this paper, two procedures: massive data augmentation and validation, are proposed to improve a deep lea...

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Detalles Bibliográficos
Autores principales: Suyanto, Suyanto, Romadhony, Ade, Sthevanie, Febryanti, Ismail, Rezza Nafi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511842/
https://www.ncbi.nlm.nih.gov/pubmed/34693050
http://dx.doi.org/10.1016/j.heliyon.2021.e08115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511842/
https://www.ncbi.nlm.nih.gov/pubmed/34693050
http://dx.doi.org/10.1016/j.heliyon.2021.e08115

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