In our increasingly interconnected world, low-resource languages face the threat of oblivion. These linguistic gems, often spoken by marginalized communities, are at risk of fading away due to limited data and resources. The neglect of these languages not only erodes cultural diversity but also hinders effective communication, education, and social inclusion. Academics, practitioners, and policymakers grapple with the urgent need for a comprehensive solution to preserve and empower these vulnerable languages.

Empowering Low-Resource Languages With NLP Solutions is a pioneering book that stands as the definitive answer to the pressing problem at hand. It tackles head-on the challenges that low-resource languages face in the realm of Natural Language Processing (NLP). Through real-world case studies, expert insights, and a comprehensive array of topics, this book equips its readers—academics, researchers, practitioners, and policymakers—with the tools, strategies, and ethical considerations needed to address the crisis facing low-resource languages.

This book explores the profound social and cultural implications of NLP for low-resource languages, emphasizing linguistic diversity, preservation, and community empowerment. From tailored knowledge on data collection, pre-processing, and feature extraction to sociolinguistic insights and real-world applications, this book empowers readers to champion the cause of linguistic diversity and cultural heritage preservation.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Code-Switching
Entity Linking for Low-Resource Languages
Evaluation and Benchmarking for Natural Language Processing
Future Directions and Challenges in Natural Language Processing
Information Retrieval
Language Identification
Language Resource Acquisition
Low-Resource Languages
Machine Translation
Morphological Analysis
Morpho-Syntactic Processing
Multimodal Natural Language Processing
Named Entity Recognition
Natural Language Processing Applications
Part-of-Speech Tagging and Syntactic Parsing
Sentiment Analysis and Opinion Mining
Speech and Audio Processing
Text Summarization

Table of Contents

Search this Book:

Reset

Editor/Author Biographies

Partha Pakray is an Assistant Professor at National Institute of Technology, Silchar, India since August 2018. He worked as an Assistant Professor at National Institute of Technology, Mizoram, India from 2015 to 2018. He received his B.E. degree in Computer Science and Engineering from Jalpaiguri Govt. Engineering College, West Bengal, India; and M.E. and Ph.D. degrees from Jadavpur University, West Bengal, India. He received dual post-doctoral fellowships, one from Norwegian University of Science & Technology, Norway, funded by ERCIM (European Union) and another from Masaryk University, Czech Republic, funded by ERCIM & MU (European Union). His areas of research interest and specialization include natural language processing (machine translation, semantic textual similarity, text entailment, question answering, information retrieval, image captioning, summarization), machine learning, deep learning, and machine intelligence. He has published more than 150 papers in reputed journals, conferences and workshops proceedings, and 5 patents. He received 5 research funded projects from various funding agencies like DST, SERB, CEFIPRA, DAAD, ASEAN, MEITY.

Pankaj Dadure is working as an Assistant Professor in the School of Computer Science at the University of Petroleum and Energy Studies Dehradun. He has received his B. Tech and M. Tech degrees in Computer Science and Engineering. He has received his Ph. D in the domain of NLP from the National Institute of Technology Silchar. Dr. Dadure is enthusiastic and dynamic in the field of research with a significant number of publications and research articles in the field of Information Retrieval, Recommendation Systems and NLP with a focus on low resource languages. He pursues and manifests growth in work and in life that helps him achieve his goals to lay a significant impact and encourages young and naive researchers to pursue the domain.

Sivaji Bandyopadhyay received the Ph.D. degree in Computer Science and Engineering from Jadavpur University, Kolkata, India in 1998. Since 1991 he has been a faculty member of the Department of Computer Science and Engineering, Jadavpur University. He is engaged with several national and international projects such as “Development of Cross Lingual Information Access (CLIA)”, DIT, Government of India, August 2006 – 2010, “Development of English to Indian Languages Machine Translation Systems (EILMT)”, DIT, Government of India, August 2006– 2010, “Development of Indian Languages to Indian Languages Machine Translation Systems (IL-ILMT)”, DIT, Government of India, August 2006– 2010, "An Advanced Platform for Question Answering Systems", Indo-French Center for the Promotion of Advanced Research (IFCPAR), 2009-2012, "Multidisciplinary Research Field on Sentiment Analysis where AI meets Psychology (SAAIP)", Strategic India-Japan Cooperative Programme-Project in the area of multidisciplinary ICT, DST, Government of India 2010-2013, "Answer Validation through Textual Entailment", CONACYT, Mexico, DST, India, 2010-2012. His research interests are in the area of Natural Language Processing, Machine Learning, Machine Translation, Sentiment Analysis, Question Answering Systems and Information Extraction. He has had more than 100 publications in top conferences and journals and has served as program chair, workshop chair and PC member of IJCNLP, NAACL, NLPKE, ICON and others. Author is a member of the ACL, AAMT.

Archiving

All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci^® platform.