Speech and Language Technologies for Low-Resource Languages [electronic resource] : First International Conference, SPELLL 2022, Kalavakkam, India, November 23–25, 2022, Proceedings /

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Material type: Text

TextSeries: Communications in Computer and Information Science ; 1802Publisher: Cham : Springer International Publishing : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XIII, 356 p. 231 illus., 78 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783031332319

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

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).

In: Springer Nature eBookSummary: 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).

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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).

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