02951nam a22005535i 4500 978-981-97-1987-7 DE-He213 20251030112007.0 cr nn 008mamaa 240423s2024 si | s |||| 0|eng d 9789819719877 978-981-97-1987-7 10.1007/978-981-97-1987-7 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Applying AI-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages [electronic resource] / edited by Sushree Sangita Mohanty, Satya Ranjan Dash, Shantipriya Parida. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIV, 220 p. 69 illus., 25 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence, 1860-9503 ; 1148 This book emphasises the need for language resource development and its impact on society. It covers latest AI based tools and techniques used to preserve indigenous and endangered languages. The book also highlights latest AI based technologies such as Generative Pre-trained Transformer (GPT) towards endangered language preservation. It discusses morphology analysis, translation support and shallow parsing of various tribal languages of India and abroad. This book tries to answer how digital technologies can make language revitalization accessible to future generations. Computational intelligence. 64052 Artificial intelligence. 58441 Natural language processing (Computer science). 65131 Computational Intelligence. 64052 Artificial Intelligence. 58441 Natural Language Processing (NLP). 66164 Mohanty, Sushree Sangita. editor. edt http://id.loc.gov/vocabulary/relators/edt 75643 Dash, Satya Ranjan. editor. edt http://id.loc.gov/vocabulary/relators/edt 75644 Parida, Shantipriya. editor. edt http://id.loc.gov/vocabulary/relators/edt 75645 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819719860 Printed edition: 9789819719884 Printed edition: 9789819719891 Studies in Computational Intelligence, 1860-9503 ; 1148 68854 https://doi.org/10.1007/978-981-97-1987-7 ZDB-2-INR ZDB-2-SXIT 59330 59330