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Speech and Language Technologies for Low-Resource Languages: First International Conference, SPELLL 2022, Kalavakkam, India, November 2325, 2022, Proceedings 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 356 pages, height x width: 235x155 mm, weight: 569 g, 78 Illustrations, color; 153 Illustrations, black and white; XIII, 356 p. 231 illus., 78 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1802
  • Izdošanas datums: 29-May-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303133230X
  • ISBN-13: 9783031332302
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  • Mīkstie vāki
  • Cena: 73,68 €*
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Speech and Language Technologies for Low-Resource Languages: First International Conference, SPELLL 2022, Kalavakkam, India, November 2325, 2022, Proceedings 1st ed. 2023Palielināt
  • Formāts: Paperback / softback, 356 pages, height x width: 235x155 mm, weight: 569 g, 78 Illustrations, color; 153 Illustrations, black and white; XIII, 356 p. 231 illus., 78 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1802
  • Izdošanas datums: 29-May-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303133230X
  • ISBN-13: 9783031332302
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031332302.html
Keywords:
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).
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).