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Applying AI-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.04.2024

Abbildungen

XIV, 220 p. 69 illus., 25 illus. in color.

Herausgeber

Sushree Sangita Mohanty + weitere

Verlag

Springer Singapore

Seitenzahl

220

Maße (L/B/H)

24,1/16/1,9 cm

Gewicht

472 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9719-86-0

Beschreibung

Rezension

“This book is a valuable contribution to the field of language preservation. It offers a detailed exploration of how AI and NLP can be leveraged to save endangered languages, backed by case studies and expert insights. … the book is a significant resource for researchers, developers, and policymakers interested in the intersection of technology and language preservation.” (Mario Antoine Aoun, Computing Reviews, December 26, 2024)

Portrait


Dr. Sushree Sangita Mohanty currently working as an Assistant Professor in the department of

Anthropology as well as leading the project Mother Tongue based Multilingual Education at Kalinga

Institute of Social Sciences (KISS) which has recently received the UNESCO International Literary

Prize 2022. Her expertise in Multilingual Education facilitates easing the process to build a strong

educational foundation among the indigenous children of KISS. Her research interests are

multidisciplinary in nature which centres around socio-cultural life, multilingualism and livelihood

vulnerability of indigenous & low-income communities of Odisha/India. She has been listed as a

UNESCO Inclusive Policy Lab Expert.




Dr. Satya Ranjan Dash is currently working as an associate professor at KIIT University, India. His

current research includes Epileptic Seizure Detection based on EEG Signal through Spiking neural

network (SNN), Classification of Schizophrenia Patients from EEG and fMRI using SNN and SSN,

fetal heart rate signals classification through extreme learning machine (ELM), Mammogram

Analysis with Local binary pattern (LBP), generative adversarial network (GAN) model, Machine

Learning , Medical Image Processing, Machine Translation, Natural Language Processing and Fuzzy

Mathematical Models.




Dr. Shantipriya Parida currently working as a Senior AI Scientist at Silo AI, Finland. Before joining

Silo AI, Shantipriya worked as a Postdoctoral Researcher at Idiap Research Institute, Switzerland.

He has obtained his Postdoc in Machine Translation from Charles University, Prague, Czech

Republic, Ph.D. in Computational Neuroscience from Utkal University, Odisha, India. Before joining

postdoc at Charles University, he worked as a System Architect at Huawei Technologies India Pvt

Ltd, Bangalore, India. He has 15 years of experience in software development and architecture, as

well as expertise in machine learning, deep learning, and Natural Language Processing. He has 4

years of research experience in leading NLP tasks in EU H2020 and InnoSuisse projects with

publications in top-tier conferences and journals. He is part of the program committee/organizer

for many top-tier NLP conferences and workshops. Recently published an edited book “Natural

Language Processing in Healthcare: A Special Focus on Low Resource Language” in collaboration

with other NLP researchers.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.04.2024

Abbildungen

XIV, 220 p. 69 illus., 25 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

220

Maße (L/B/H)

24,1/16/1,9 cm

Gewicht

472 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9719-86-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Applying AI-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages
  • Produktbild: Applying AI-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages