AI & ML interests
NLP, Machine Translation, Speech Processing, Deep Learning, Low-resource Languages
Recent Activity
Information and Language Processing Research Lab (ILPRL)
Kathmandu University — Department of Computer Science and Engineering
The Information and Language Processing Research Lab (ILPRL) focuses on Natural Language Processing (NLP), Software Localization, and Information Retrieval with a special emphasis on low-resource languages such as Nepali and Tamang.
🌍 About Us
ILPRL is dedicated to advancing computational linguistics and AI technologies for underrepresented languages.
Our goal is to make digital resources, translation systems, and information retrieval tools accessible to all linguistic communities in Nepal.
🔬 Research Areas
- Machine Translation (Nepali-Tamang, English-Nepali)
- Speech and Audio Processing (ASR for Nepali)
- Sentiment Analysis
- Information Retrieval and Search Systems
- Software Localization
- Multilingual NLP and Language Resource Development
🚀 Ongoing Projects
- NepTam: Nepali–Tamang Parallel Corpus for low-resource MT
- Trilingual Neural MT System: English–Nepali–Tamang translation model
- Nepali ASR: Speech recognition for Nepali language
- Information Retrieval for Nepali News Corpora
👥 Team
Prof. Dr. Bal Krishna Bal, Prof. Dr. Balaram Prasain, Dr. Prakash Poudyal, Mr. Rupak Raj Ghimire, Mr. Praveen Acharya
Mr. Bipesh Raj Subedi, Mr. Nischal Karki, Mr. Rupak Tiwari, Ms. Jenny Poudel, Mr. Rishikesh Kumar Sharma
📧: bal@ku.edu.np, prasainbalaram@gmail.com, prakash@ku.edu.np, rughimire@gmail.com, acharyaprvn@gmail.com
📧: bipeshrajsubedi@gmail.com, nischal3158@gmail.com, jennypoudel100@gmail.com, rupaktiwari18@gmail.com, rishi70612@gmail.com
📚 Publications & Resources
Our team has published several papers and developed linguistic resources for Nepali NLP, opinion mining, and software localization.
👉 Visit our official website for complete publication lists.
🔗 Contact & Links
🌐 Website: https://ilprl.ku.edu.np/
🏛️ Institution: Kathmandu University, Dhulikhel, Nepal
“Empowering languages through technology — for inclusive digital access and research innovation.”