Low Resource Language
Low-resource language (LRL) research focuses on developing natural language processing (NLP) techniques for languages lacking substantial digital resources, aiming to bridge the technological gap between high- and low-resource languages. Current research emphasizes leveraging multilingual pre-trained models like Whisper and adapting them to LRLs through techniques such as weighted cross-entropy, data augmentation (including synthetic data generation), and model optimization methods like pruning and knowledge distillation. This work is crucial for promoting linguistic diversity, enabling access to technology for under-resourced communities, and advancing the broader field of NLP by addressing the challenges posed by data scarcity and linguistic variation.
Papers
Energy Efficient Protein Language Models: Leveraging Small Language Models with LoRA for Controllable Protein Generation
Aayush Shah, Shankar Jayaratnam
Evaluating and Adapting Large Language Models to Represent Folktales in Low-Resource Languages
JA Meaney, Beatrice Alex, William Lamb
How Good is Your Wikipedia?
Kushal Tatariya, Artur Kulmizev, Wessel Poelman, Esther Ploeger, Marcel Bollmann, Johannes Bjerva, Jiaming Luo, Heather Lent, Miryam de Lhoneux
Findings of the IWSLT 2024 Evaluation Campaign
Ibrahim Said Ahmad, Antonios Anastasopoulos, Ondřej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, William Chen, Qianqian Dong, Marcello Federico, Barry Haddow, Dávid Javorský, Mateusz Krubiński, Tsz Kin Lam, Xutai Ma, Prashant Mathur, Evgeny Matusov, Chandresh Maurya, John McCrae, Kenton Murray, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, Atul Kr. Ojha, John Ortega, Sara Papi, Peter Polák, Adam Pospíšil, Pavel Pecina, Elizabeth Salesky, Nivedita Sethiya, Balaram Sarkar, Jiatong Shi, Claytone Sikasote, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Brian Thompson, Marco Turchi, Alex Waibel, Shinji Watanabe, Patrick Wilken, Petr Zemánek, Rodolfo Zevallos
Multistage Fine-tuning Strategies for Automatic Speech Recognition in Low-resource Languages
Leena G Pillai, Kavya Manohar, Basil K Raju, Elizabeth Sherly