Information and Language Processing Research Lab

LREC-COLING(May 20-25) 2024 has been very eventful for Nepal as we got two workshop papers accepted at SIGUL 2024 and one paper accepted at the main conference from Kathmandu University:
1. 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 (Authors: Bipesh Subedi, Sunil Regmi, Bal Krishna Bal and Praveen Acharya), Information and Language Processing Research Lab, Department of Computer Science & Engineering.
2. Bidirectional English-Nepali Machine Translation System for the Legal Domain (Authors: Shabdapurush Poudel, Bal Krishna Bal, Praveen Acharya), Information and Language Processing Research Lab, Kathmandu University.
3. Nepal Script Text Recognition using CRNN CTC Architecture (Authors: Swornim Nakarmi, Sarin Sthapit, Arya Shakya, Rajani Chulyadyo, Bal Krishna Bal), Department of Computer Science & Engineering, Kathmandu University.
Congratulations to the collaborators and all the authors.

Take part in this survey and help this research, conducted as part of the Information and Language Processing Research Lab, Department of Computer Science & Engineering, Kathmandu University. The data gathered would be used purely for research and academic purposes. Anonymity and confidentiality of the data would be highly maintained.

Popularity Tracking and Trend Analysis of Public Figures/Entities Based on News Media Texts The News Media today represents as a very powerful tool to track the popularity and thus conduct a trend analysis of the popularity of the public figures/entities in the society. However, the opinions expressed might not always reflect the truth and could be biased. It is in this light that we would...