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    1. Data och IT
    2. Systemvetenskap och AI

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

    AvSushree Sangita Mohanty,Satya Ranjan Dash

    Inbunden, Engelska, 2024

    Del i serien Studies in Computational Intelligence

    2 230 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2024-04-24
    • Mått:155 x 235 x 19 mm
    • Vikt:524 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Studies in Computational Intelligence
    • Antal sidor:220
    • Upplaga:2024
    • Förlag:Springer Verlag, Singapore
    • ISBN:9789819719860

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT
    • Artificiell intelligens inom Data och IT
    • Språkvetenskap och lingvistik inom Språk och ordböcker

    Mer om författaren

    Dr. Sushree Sangita Mohanty currently working as an Assistant Professor in the department ofAnthropology as well as leading the project Mother Tongue based Multilingual Education at KalingaInstitute of Social Sciences (KISS) which has recently received the UNESCO International LiteraryPrize 2022. Her expertise in Multilingual Education facilitates easing the process to build a strongeducational foundation among the indigenous children of KISS. Her research interests aremultidisciplinary in nature which centres around socio-cultural life, multilingualism and livelihoodvulnerability of indigenous & low-income communities of Odisha/India. She has been listed as aUNESCO Inclusive Policy Lab Expert.Dr. Satya Ranjan Dash is currently working as an associate professor at KIIT University, India. Hiscurrent research includes Epileptic Seizure Detection based on EEG Signal through Spiking neuralnetwork (SNN), Classification of Schizophrenia Patients from EEG and fMRI using SNN and SSN,fetal heart rate signals classification through extreme learning machine (ELM), MammogramAnalysis with Local binary pattern (LBP), generative adversarial network (GAN) model, MachineLearning , Medical Image Processing, Machine Translation, Natural Language Processing and FuzzyMathematical Models.Dr. Shantipriya Parida currently working as a Senior AI Scientist at Silo AI, Finland. Before joiningSilo AI, Shantipriya worked as a Postdoctoral Researcher at Idiap Research Institute, Switzerland.He has obtained his Postdoc in Machine Translation from Charles University, Prague, CzechRepublic, Ph.D. in Computational Neuroscience from Utkal University, Odisha, India. Before joiningpostdoc at Charles University, he worked as a System Architect at Huawei Technologies India PvtLtd, Bangalore, India. He has 15 years of experience in software development and architecture, aswell as expertise in machine learning, deep learning, and Natural Language Processing. He has 4years of research experience in leading NLP tasks in EU H2020 and InnoSuisse projects withpublications in top-tier conferences and journals. He is part of the program committee/organizerfor many top-tier NLP conferences and workshops. Recently published an edited book “NaturalLanguage Processing in Healthcare: A Special Focus on Low Resource Language” in collaborationwith other NLP researchers.

    Recensioner i media

    “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)