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pro vyhledávání: '"Magdum, Vidula"'
Autor:
Hiwarkhedkar, Sharayu, Mittal, Saloni, Magdum, Vidula, Dhekane, Omkar, Joshi, Raviraj, Kale, Geetanjali, Ladkat, Arnav
For green AI, it is crucial to measure and reduce the carbon footprint emitted during the training of large language models. In NLP, performing pre-training on Transformer models requires significant computational resources. This pre-training involve
Externí odkaz:
http://arxiv.org/abs/2404.18228
The availability of text or topic classification datasets in the low-resource Marathi language is limited, typically consisting of fewer than 4 target labels, with some achieving nearly perfect accuracy. In this work, we introduce L3Cube-MahaNews, a
Externí odkaz:
http://arxiv.org/abs/2404.18216
We present mahaNLP, an open-source natural language processing (NLP) library specifically built for the Marathi language. It aims to enhance the support for the low-resource Indian language Marathi in the field of NLP. It is an easy-to-use, extensibl
Externí odkaz:
http://arxiv.org/abs/2311.02579
Autor:
Bharathi Raja Chakravarthi, Bharathi B, Miguel Ángel García Cumbreras, Salud María Jiménez Zafra, Malliga Subramanian, Kogilavani Shanmugavadivel, Preslav Nakov
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 p