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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| 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 |