Applying Ai-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages
Mohanty, Sushree Sangita, Dash, Satya Ranjan, Parida, Shantipriya
相關主題
商品描述
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.
商品描述(中文翻譯)
這本書強調語言資源開發的必要性及其對社會的影響。它涵蓋了最新的基於人工智慧的工具和技術，用於保護土著和瀕危語言。該書還突出了最新的基於人工智慧的技術，如生成式預訓練轉換器（GPT），用於瀕危語言的保護。它討論了印度和國外各種部落語言的形態分析、翻譯支持和表層解析。這本書試圖回答數位技術如何使語言復興對未來世代更加可及。
作者簡介
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.
作者簡介(中文翻譯)
Dr. Sushree Sangita Mohanty目前在Kalinga社會科學研究所（KISS）擔任助理教授，同時領導以母語為基礎的多語教育項目。該項目最近獲得了2022年聯合國教科文組織國際文學獎。她在多語教育方面的專業知識有助於為KISS的土著兒童建立堅實的教育基礎。她的研究興趣涵蓋多學科領域，圍繞著奧里薩邦/印度的社會文化生活、多語言和土著及低收入社區的生計脆弱性。她被列為聯合國包容政策實驗室專家。
Dr. Satya Ranjan Dash目前在印度KIIT大學擔任副教授。他目前的研究包括基於脈衝神經網絡（SNN）的腦電圖（EEG）信號的癲癇發作檢測，使用SNN和SSN對精神分裂症患者進行EEG和fMRI的分類，通過極限學習機（ELM）對胎兒心率信號進行分類，使用局部二值模式（LBP）、生成對抗網絡（GAN）模型對乳房X光檢查進行分析，以及機器學習、醫學影像處理、機器翻譯、自然語言處理和模糊數學模型方面的研究。
Dr. Shantipriya Parida目前在芬蘭的Silo AI擔任高級人工智能科學家。在加入Silo AI之前，Shantipriya在瑞士的Idiap研究所擔任博士後研究員。他在捷克共和國布拉格的查爾斯大學獲得了機器翻譯的博士後學位，並在印度奧里薩邦的烏特卡爾大學獲得了計算神經科學的博士學位。在加入查爾斯大學之前，他曾在印度班加羅爾的華為技術有限公司擔任系統架構師。他在軟件開發和架構方面擁有15年的經驗，並在機器學習、深度學習和自然語言處理方面具有專業知識。他在歐盟H2020和InnoSuisse項目中領導NLP任務方面擁有4年的研究經驗，並在頂級會議和期刊上發表了論文。他是許多頂級NLP會議和研討會的節目委員會/組織者之一。最近與其他NLP研究人員合作出版了一本名為《醫療保健中的自然語言處理：特別關注低資源語言》的編輯書籍。
