PI: Nisansa de Silva
We propose to advance natural language processing for low-resource settings by leveraging data augmentation, transfer learning, and model adaptation techniques to overcome the scarcity of annotated data and linguistic resources.
PI: Nisansa de Silva
This project aims to develop a comprehensive diachronic corpus for the Sinhala language, addressing the scarcity of historical linguistic resources for a language spoken by approximately 16 million people in Sri Lanka.
PI: 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.
Conference Papers
Nevidu Jayatilleke, Nisansa de Silva, Uthpala Nimanthi, Gagani Kulathilaka, Azra Safrullah, and Johan Sofalas, "SiDiaC-v. 2.0: Sinhala Diachronic Corpus Version 2.0", in Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026), Palma, Mallorca, Spain: European Language Resources Association (ELRA), May. 2026, pp. 6740--6763. doi: 10.63317/2ybff4o55vrq
Nevidu Jayatilleke and Nisansa de Silva, "SiDiaC: Sinhala Diachronic Corpus", in Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, 2025, pp. 511--527.
Workshop Papers
Nisansa de Silva, "Sinhala Diachronic Corpus", in NeurIPS 2025 AI for Science Workshop, 2025.
