Common Sense Reasoning
PI: Surangika Ranathunga
The Common Sense Reasoning project focuses on advancing culturally grounded evaluation and knowledge representation for language-based artificial intelligence systems.
PI: Surangika Ranathunga
The Common Sense Reasoning project focuses on advancing culturally grounded evaluation and knowledge representation for language-based artificial intelligence systems.
PI: Surangika Ranathunga
The Data Quality Estimation and Improvement project focuses on analysing, measuring, and enhancing the quality of datasets used in natural language processing, particularly for multilingual and low-resource language applications.
PI: Surangika Ranathunga
We propose to create a multi-domain Neural Machine Translation (NMT) System for Sinhala, Tamil, and English, the official languages of Sri Lanka.
PI: Nisansa de Silva
The Knowledge Representation project investigates methods for structuring, aligning, and reasoning over knowledge extracted from language, with particular emphasis on low-resource settings, domain-specific semantics, and intelligent information access.
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: Rohan Samarajiva
We propose to investigate the role of natural language processing in government by building methods, frameworks, and resources that enable data-driven policy-making while ensuring ethical, transparent, and inclusive outcomes.
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.
PI: 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.
Dissertations
W.A.S.A Fernando, "Data Augmentation to Induce High Quality Parallel Data for Low-Resource Neural Machine Translation", University of Moratuwa, 2025
Theses: MSc Major Component Research
Menan Velayuthan, "Multi-Domain Neural Machine Translation with Knowledge Distillation For Low Resource Languages", University of Moratuwa, 2025
Conference Papers
Nevidu Jayatilleke and Nisansa de Silva, "Zero-shot OCR Accuracy of Low-Resourced Languages: A Comparative Analysis on Sinhala and Tamil", in Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing-Natural Language Processing in the Generative AI Era, 2025, pp. 471--480.
Imalsha Puranegedara, Themira Chathumina, Nisal Ranathunga, Nisansa de Silva, Surangika Ranathunga, and Mokanarangan Thayaparan, "Utilizing Multilingual Encoders to Improve Large Language Models for Low-Resource Languages", in Moratuwa Engineering Research Conference (MERCon), 2025. doi: 10.1109/MERCon67903.2025.11216992 
H W K Aravinda, Rashad Sirajudeen, Samith Karunathilake, Nisansa de Silva, Surangika Ranathunga, and Rishemjit Kaur, "SinLlama-A Large Language Model for Sinhala", in Moratuwa Engineering Research Conference (MERCon), 2025. doi: 10.1109/MERCon67903.2025.11217094
Aloka Fernando, Nisansa de Silva, Menan Velayuthan, Charitha Rathnayaka, and Surangika Ranathunga, "Improving the quality of Web-mined Parallel Corpora of Low-Resource Languages using Debiasing Heuristics", in Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025, pp. 28252--28269. doi: 10.18653/v1/2025.emnlp-main.1435
Surangika Ranathunga, Nisansa de Silva, Dilith Jayakody, and Aloka Fernando, "Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research", in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024.
Surangika Ranathunga, Nisansa de Silva, Menan Velayuthan, Aloka Fernando, and Charitha Rathnayake, "Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora", in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), St. Julian{'}s, Malta: Association for Computational Linguistics, mar. 2024, pp. 860--880. 
Kasun Wickramasinghe and Nisansa de Silva, "Sinhala-English Word Embedding Alignment: Introducing Datasets and Benchmark for a Low Resource Language", in Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, 2023, pp. 424--435.
Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva, and Yudhanjaya Wijeratne, "Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages", in Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022, pp. 325--336. doi: 10.48550/ARXIV.2210.14472 
Surangika Ranathunga and Nisansa de Silva, "Some Languages are More Equal than Others: Probing Deeper into the Linguistic Disparity in the NLP World", in Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022, pp. 823--848. doi: 10.48550/ARXIV.2210.08523
Workshop Papers
Menan Velayuthan, Dilith Jayakody, Nisansa de Silva, Aloka Fernando, and Surangika Ranathunga, "Back to the Stats: Rescuing Low Resource Neural Machine Translation with Statistical Methods", in Proceedings of the Ninth Conference on Machine Translation, 2024, pp. 901--907. doi: 10.18653/v1/2024.wmt-1.87
White Papers
Yudhanjaya Wijeratne, Nisansa de Silva, and Yashothara Shanmugarajah, "Natural Language Processing for Government: Problems and Potential", LIRNEasia, 2019. doi: 10.13140/RG.2.2.34297.31845
Preprints
Nisansa de Silva and Surangika Ranathunga, "Sinhala Physical Common Sense Reasoning Dataset for Global PIQA", arXiv preprint arXiv:2602.02207, 2026. doi: 10.48550/arXiv.2602.02207
Akesh Gunathilake, Nadil Karunarathne, Tharusha Bandaranayake, Nisansa de Silva, and Surangika Ranathunga, "LMSpell: Neural Spell Checking for Low-Resource Languages", arXiv preprint arXiv:2512.05414, 2025
Tyler A Chang, Catherine Arnett, Abdelrahman Eldesokey, Abdelrahman Sadallah, Abeer Kashar, Abolade Daud, Abosede Grace Olanihun, Adamu Labaran Mohammed, Adeyemi Praise, Adhikarinayum Meerajita Sharma, and others, "Global PIQA: Evaluating Physical Commonsense Reasoning Across 100+ Languages and Cultures", arXiv preprint arXiv:2510.24081, 2025
Nisansa de Silva, "Survey on Publicly Available Sinhala Natural Language Processing Tools and Research", arXiv preprint arXiv:1906.02358, 2019. doi: 10.48550/arXiv.1906.02358
Nisansa de Silva, "Sinhala Text Classification: Observations from the Perspective of a Resource Poor Language", , 2015
