ActivePI: Nisansa de Silva
We propose to build and analyze Sinhala language resources, datasets, and models to strengthen NLP research for this low-resource language, while connecting it to English and Tamil through bilingual lexicons, embeddings, and cross-lingual methods.
ActivePI: Nisansa de Silva
We propose to advance social media text analysis by combining linguistic study, preprocessing, and deep learning models to better capture sentiment, structure, and meaning in informal, large-scale user-generated text.
Theses: BSc
Chiran Chathuranga, Eranga Mapa, Lasitha Wattaladeniya, and Samith Dassanayake, "SELCHI: Travel Profiling", University of Moratuwa, 2014
Journal Papers
Eranga Mapa, Lasitha Wattaladeniya, Chiran Chathuranga, Samith Dassanayake, Nisansa de Silva, Upali Kohomban, and Danaja Maldeniya, "Text Normalization in Social Media by using Spell Correction and Dictionary Based Approach", Systems Learning, vol. 1, pp. 1--6, 2012
Conference Papers
Akesh Gunathilake, Nadil Karunarathne, Tharusha Bandaranayake, Nisansa de Silva, and Surangika Ranathunga, "LMSpell: Neural Spell Checking for Low-Resource Languages", in 2026 Moratuwa Engineering Research Conference (MERCon), 2025, pp. 503-508. doi: 10.1109/MERCon71835.2026.11691371
