Ergebnisse für: Low-Resource Languages
Hier findest Du Bücher, die sich mit Low-Resource Languages beschäftigen.
This book constitutes the refereed conference proceedings of the second International Conference on Speech and Language Technologies for Low-Resource Languages, SPELLL 2023, held in Perundurai, Erode, India, during December 6–8, 2023.
The 27 full papers and 6 short papers presented in this book w...
This book constitutes the revised selected papers of the Third International Conference on Speech and Language Technologies for Low-Resource Languages, SPELLL 2024, held in Chennai, India, during December 4–6, 2024.
The 44 full papers and 11 short papers  included in these conference proceedi...
This book constitutes refereed proceedings from the First International Conference on Speech and Language Technologies for Low-resource Languages, SPELLL 2022, held in Kalavakkam, India, in November 2022. The 25 presented papers were thoroughly reviewed and selected from 70 submissions. Th...
This book constitutes refereed proceedings from the First International Conference on Speech and Language Technologies for Low-resource Languages, SPELLL 2022, held in Kalavakkam, India, in November 2022. The 25 presented papers were thoroughly reviewed and selected from 70 submissions. Th...
This book constitutes the revised selected papers of the Third International Conference on Speech and Language Technologies for Low-Resource Languages, SPELLL 2024, held in Chennai, India, during December 4–6, 2024.
The 44 full papers and 11 short papers  included in these conference proceedi...
This book constitutes the refereed conference proceedings of the second International Conference on Speech and Language Technologies for Low-Resource Languages, SPELLL 2023, held in Perundurai, Erode, India, during December 6–8, 2023.
The 27 full papers and 6 short papers presented in this book w...
This thesis explores methods to rapidly bootstrap automatic speech recognition systems (ASR) for languages, which lack resources for speech and language processing - called low-resource languages. We focus on finding approaches which allow using data from multiple languages to improve ASR systems fo...
This book explores how Artificial Intelligence (AI) can be adapted to address the unique development challenges of small island nations. It offers practical, context-sensitive strategies and real-world applications designed for regions such as the Maldives, where geographic isolation, limited infras...
Empirical — data-driven, neural network-based, probabilistic, and statistical — methods seem to be the modern trend. Recently, OpenAI’s ChatGPT, Google’s Bard and Microsoft’s Sydney chatbots have been garnering a lot of attention for their detailed answers across many knowledge domains. In...