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Multi-components System for Automatic Arabic Diacritization

In this paper, we propose an approach to tackle the problem of the automatic restoration of Arabic diacritics that includes three components stacked in a pipeline: a deep learning model which is a multi-layer recurrent neural network with LSTM and Dense layers, a character-level rule-based corrector...

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Detalles Bibliográficos
Autores principales: Abbad, Hamza, Xiong, Shengwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148237/
http://dx.doi.org/10.1007/978-3-030-45439-5_23