Exploring the Potential of Large Language Models (LLMs) for Low-resource Languages: A Study on Named-Entity Recognition (NER) and Part-Of-Speech (POS) Tagging for Nepali Language

Exploring the Potential of Large Language Models (LLMs) for Low-resource Languages: A Study on Named-Entity Recognition (NER) and Part-Of-Speech (POS) Tagging for Nepali Language Bipesh Subedi author Sunil Regmi author Bal Krishna Bal author Praveen Acharya author 2024-05 text Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) Nicoletta Calzolari editor Min-Yen Kan editor Veronique Hoste editor Alessandro Lenci editor Sakriani Sakti editor Nianwen Xue editor ELRA and ICCL Torino, Italia conference publication subedi-etal-2024-exploring https://aclanthology.org/2024.lrec-main.611/ 2024-05 6974 6979