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
The LLM Multi-agent Systems project explores how large language models can be coordinated as interacting agents to perform complex reasoning, cooperation, and task execution in natural language environments.
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
This project delves into the synergy between Natural Language Processing (NLP) and the legal domain, presenting novel solutions to enduring challenges.
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.
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.
PI: Nisansa de Silva
We propose to advance automatic summarization and generation techniques, with a focus on aspect-aware methods that capture fine-grained information and sentiment within concise textual representations.
Theses: MSc Major Component Research
Menan Velayuthan, "Multi-Domain Neural Machine Translation with Knowledge Distillation For Low Resource Languages", University of Moratuwa, 2025
Theses: MSc Minor Component Research
Pubudu Cooray, "Headline Generation for Sinhala Newspaper Articles using Pre-trained Language Models", University of Moratuwa, 2025
Kasun Wickramasinghe, "Bilingual Lexicon Induction for the Sinhala-English Language Pair", University of Moratuwa, 2024
Theses: BSc
Isuranga Iniyage, Pathum Mihiranga, and Mithun Wijethunga, "Advanced Interactive Sinhala Dictionary", University of Moratuwa, 2022
Dimuthu Upeksha, Chamila Wijayarathna, Maduranga Siriwardena, and Lahiru Lasandun, "Sinmin - Sinhala Corpus Project", University of Moratuwa, 2015
Journal Papers
W M Yomal De Mel and Nisansa de Silva, "Linguistic Analysis of Sinhala YouTube Comments on Sinhala Music Videos: A Dataset Study", ICTer, vol. 18, no. 2, pp. 121-130, 2025. doi: 10.4038/icter.v18i2.7299
Vihanga Jayawickrama, Gihan Weeraprameshwara, Nisansa de Silva, and Yudhanjaya Wijeratne, "Facebook for Sentiment Analysis: Baseline Models to Predict Facebook Reactions of Sinhala Posts", The International Journal on Advances in ICT for Emerging Regions, vol. 15, no. 2, 2022. doi: 10.4038/icter.v15i2.7248
Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, and others, "Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets", Transactions of the Association for Computational Linguistics, vol. 10, pp. 50--72, 2022. doi: 10.1162/tacl_a_00447
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.
Oshadha Wijerathne, Amandi Nimasha, Dushan Fernando, Nisansa de Silva, and Srinath Perera, "ScheduleMe: Multi-Agent Calendar Assistant", in Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, 2025, pp. 309--319.
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.
Yomal De Mel and Nisansa de Silva, "GeeSanBhava: Sentiment Tagged Sinhala Music Video Comment Data Set", in International Conference on Computational Collective Intelligence, 2025, pp. 157--171. doi: 10.1007/978-3-032-10209-6_11
Kasun Wickramasinghe and Nisansa de Silva, "How Good is BLI as an Alignment Measure: A Study in Word Embedding Paradigm", in International Conference on Computational Collective Intelligence, 2025, pp. 383--397. doi: 10.1007/978-3-032-10202-7_26
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
Yomal De Mel, Kasun Wickramasinghe, Nisansa de Silva, and Surangika Ranathunga, "Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches", in Proceedings of the First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages, 2025, pp. 166--173.
Kushan Hewapathirana, Nisansa de Silva, and C D Athuraliya, "M2DS: Multilingual Dataset for Multi-document Summarisation", in International Conference on Computational Collective Intelligence, 2024, pp. 219--231. doi: 10.1007/978-3-031-70248-8_17
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.
Kasun Wickramasinghe and Nisansa de Silva, "Sinhala-English Parallel Word Dictionary Dataset", in 2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), 2023, pp. 61--66. doi: 10.1109/ICIIS58898.2023.10253560
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
Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva, and Yudhanjaya Wijeratne, "Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data", in 2022 The 3rd International Conference on Artificial Intelligence in Electronics Engineering, Association for Computing Machinery, 2022, pp. 16-22. doi: 10.1145/3512826.3512829
Vihanga Jayawickrama, Gihan Weeraprameshwara, Nisansa de Silva, and Yudhanjaya Wijeratne, "Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts", in 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), 2021, pp. 177-182. doi: 10.1109/ICter53630.2021.9774796 
Dimuthu Upeksha, Chamila Wijayarathna, Maduranga Siriwardena, Lahiru Lasandun, Chinthana Wimalasuriya, N. H. N. D. de Silva, and Gihan Dias, "Comparison Between Performance of Various Database Systems for Implementing a Language Corpus", in International Conference: Beyond Databases, Architectures and Structures, May. 2015, pp. 82--91. doi: 10.1007/978-3-319-18422-7_7
Dimuthu Upeksha, Chamila Wijayarathna, Maduranga Siriwardena, Lahiru Lasandun, Chinthana Wimalasuriya, N. H. N. D. De Silva, and Gihan Dias, "Implementing a Corpus for Sinhala Language", in Symposium on Language Technology for South Asia 2015, 2015. doi: 10.13140/RG.2.2.23035.11047
Indeewari Wijesiri, Malaka Gallage, Buddhika Gunathilaka, Madhuranga Lakjeewa, Daya Wimalasuriya, Gihan Dias, Rohini Paranavithana, and Nisansa de Silva, "Building a WordNet for Sinhala", in Proceedings of the Seventh Global WordNet Conference, January. 2014, pp. 100--108.
Workshop Papers
Nisansa de Silva, "Sinhala Diachronic Corpus", in NeurIPS 2025 AI for Science Workshop, 2025.
Menan Velayuthan, Nisansa De Silva, and Surangika Ranathunga, "Encoder-Aware Sequence-Level Knowledge Distillation for Low-Resource Neural Machine Translation", in Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025), 2025, pp. 161--170.
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
Extended Abstracts
Niduni Kasige, Nishan Kavinda, Kisara Kodithuwakku, and Nisansa de Silva, "Hybrid Approach for Information Retrieval in Sri Lankan Legal Domain", in Proceedings of the Engineering Research Unit Symposium, 2025, pp. 70-71. doi: 10.31705/ERU.2025.33
White Papers
Yudhanjaya Wijeratne and Nisansa de Silva, "Sinhala Language Corpora and Stopwords from a Decade of Sri Lankan Facebook", arXiv preprint arXiv:2007.07884, 2020. doi: 10.2139/ssrn.3650976
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
