Mathematical modeling for language endangerment is a process, which intends to detect the language misfortune to achieve the task of minimum cost in endangered languages. In this work, a comprehensive analysis of modeling techniques based on computational intelligence is used to find out language endangerment is presented. Peril, misfortune, passing, and related terms are progressively recognizable in depictions of sociolinguistic change currently happening at anexceptional scale due to the powers of globalization. They can serve both as names for shared worries of language specialists and anthropologists, and as depictions of in any case various scenes of social experience, since they are dependent upon numerous utilizations and understandings. This article centers around inferred, empowering suppositions of three particular procedures for surrounding and reviewing “dangers” to minimize dialects and discourse networks. Acknowledgment of their ideological grounds builds up a more honed feeling of their various uses, and the distinctive social salience’s that semantic depictions can have in and for underestimated networks. In this research, problems like howto model computation in language endangerment and optimized solutions, which are based on modern intelligence techniques are presented. The research proposed a new model for language issues with a critical analysis of the usage of computational modeling intelligence techniques including all soft computing techniques with statistical methods for language endangerment problems under COVID-19.
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15 June 2023
RECENT ADVANCES IN SCIENCES, ENGINEERING, INFORMATION TECHNOLOGY & MANAGEMENT
6–7 May 2022
Jaipur, India
Research Article|
June 15 2023
Detection of influential factors and techniques for language endangerment using mathematical modelling in COVID-19 Available to Purchase
Deepak Sharma
Deepak Sharma
a)
Department of Computer Science, Aryabhatta College, University of Delhi
, Delhi, India
a)Corresponding author: [email protected]
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Deepak Sharma
a)
Department of Computer Science, Aryabhatta College, University of Delhi
, Delhi, India
a)Corresponding author: [email protected]
AIP Conf. Proc. 2782, 020033 (2023)
Citation
Deepak Sharma; Detection of influential factors and techniques for language endangerment using mathematical modelling in COVID-19. AIP Conf. Proc. 15 June 2023; 2782 (1): 020033. https://doi.org/10.1063/5.0154544
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