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The Oxford English Dictionary is the internationally recognized authority on the evolution of the English language from 1150 to the present day. The Dictionary defines over 500,000 words, making it an unsurpassed guide to the meaning, pronunciation, and history of the English language. This new upgrade version of The Oxford English Dictionary Second Edition on CD-ROM offers unparalleled access to the world's most important reference work for the English language. The text of this version has been augmented with the inclusion of the Oxford English Dictionary Additions Series (Volumes 1-3), published in 1993 and 1997, the Bibliography to the Second Edition, and other ancillary material. System requirements: PC with minimum 200 MHz Pentium-class processor; 32 MB RAM (64 MB recommended); 16-speed CD-ROM drive (32-speed recommended); Windows 95, 98, Me, NT, 200, or XP (Local administrator rights are required to install and open the OED for the first time on a PC running Windows NT 4 and to install and run the OED on Windows 2000 and XP); 1.1 GB hard disk space to run the OED from the CD-ROM and 1.7 GB to install the CD-ROM to the hard disk: SVGA monitor: 800 x 600 pixels: 16-bit (64k, high color) setting recommended. Please note: for the upgrade, installation requires the use of the OED CD-ROM v2.0.
AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.
Sanskrit Informatics is intended as a study guide for Sanskrit Students attending methodology courses on Informatics. It can create awareness about the available digital resources on Sanskrit and Indology, and introduce the basics of ICT skills for effectively accessing, processing and using such resources
This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.
This book features selected research papers presented at the International Conference on Advances in Information Communication Technology and Computing (AICTC 2019), held at the Government Engineering College Bikaner, Bikaner, India, on 8–9 November 2019. It covers ICT-based approaches in the areas ICT for energy efficiency, life cycle assessment of ICT, green IT, green information systems, environmental informatics, energy informatics, sustainable HCI and computational sustainability.