Speech and Language Technologies for Low-Resource Languages [electronic resource] : First International Conference, SPELLL 2022, Kalavakkam, India, November 23-25, 2022, Proceedings / edited by Anand Kumar M, Bharathi Raja Chakravarthi, Bharathi B, Colm O'Riordan, Hema Murthy, Thenmozhi Durairaj, Thomas Mandl.
Tipo de material: TextoSeries Communications in Computer and Information Science ; 1802Editor: Cham : Springer International Publishing : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XIII, 356 p. 231 illus., 78 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031332319Tema(s): Artificial intelligence | Computer networks | Natural language processing (Computer science) | Database management | Artificial Intelligence | Computer Communication Networks | Natural Language Processing (NLP) | Database ManagementFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TA347.A78Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
Language Resources -- Language Technologies -- Speech Technologies -- Multimodal data analysis -- Fake News Detection in Low-Resource Languages (Regional-Fake) -- Low Resource Cross-Domain, Cross-Lingualand Cross-Modal Offensie Content Analysis (LC4).
This book constitutes refereed proceedings from the First International Conference on Speech and Language Technologies for Low-resource Languages, SPELLL 2022, held in Kalavakkam, India, in November 2022. The 25 presented papers were thoroughly reviewed and selected from 70 submissions. The papers are organised in the following topical sections: language resources; language technologies; speech technologies; multimodal data analysis; fake news detection in low-resource languages (regional-fake); low resource cross-domain, cross-lingualand cross-modal offensie content analysis (LC4).
UABC ; Perpetuidad