Publications

2021

 

  • Kumarasinghe, K., Dias, G. and Herath, I.,. SinMorphy: A Morphological Analyzer for the Sinhala Language. In:Moratuwa Engineering Research Conference (MERCon) 2021 , July 27-29, 2021 .
  • A Ignatius, U Thayasivam, (2021). Speaker-Invariant Speech-to-Intent Classification for Low-Resource Languages. International Conference on Speech and Computer. pp 279-290.
  • A Ignatius, U Thayasivam, (2021).A Survey on Paralinguistics in Tamil Speech Processing. Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages. pp 94-99.
  • Chathuri Jayaweera, Gihan Dias, "Automatic Classification, Visualization and Analysis of Errors in Machine Translation", 2021 IEEE 10th International Conference on Information and Automation for Sustainability, Colombo, Sri Lanka, August 11-13, 2021
  • S. Thillainathan, S. Ranathunga, and S. Jayasena, “Fine¬tuning Self-Supervised Multi-lingual Sequence-¬To-¬Sequence Models for Extremely Low¬-Resource NMT,” in The 7th Moratuwa Engineering Research Conference (MERCon 2021), Moratuwa, Sri Lanka, Jul 27-29, 2021
  • Anushika Liyanage, Surangika Ranathunga, Sanath Jayasena “Bilingual Lexical Induction for Sinhala-English Languages using Cross Lingual Embedding Spaces”2021 The 7th International Multidisciplinary Engineering Research Conference, Moratuwa, Sri Lanka.
  • Koshiya Vinoli Epaliyana, Surangika Ranathunga and Sanath Jayasena, “Improving Back-Translation with Iterative Filtering and Data Selection for Sinhala-English NMT” in The 7th Moratuwa Engineering Research Conference (MERCon 2021), Moratuwa, Sri Lanka, Jul 27-29, 2021.
  • Sarveswaran, K., Dias, G. & Butt, M. ThamizhiMorph: A morphological parser for the Tamil language. Machine Translation 35, 37–70 (2021).
  • D Sachintha, L Piyarathna, C Rajitha & S Ranathunga, 2021. Exploiting Parallel Corpora to Improve Multilingual Embedding based Document and Sentence Alignment. 
  • S Ranathunga & I Liyanage, 2021. Sentiment Analysis of Sinhala News Comments, Transactions on Asian and Low-Resource Language Information Processing.
  • A Fernando, G Dias & S Ranathunga, 2021. Data augmentation and list integration for improving domain-specific sinhalaenglish-tamil statistical machine translation. 
  • S Nilaxan & S Ranathunga, 2021. Monolingual Sentence Similarity Measurement using Siamese Neural Networks for Sinhala and Tamil Languages. Moratuwa Engineering Research Conference (MERCon), 567-572. 
  • C Sonnadara, S Ranathunga, S Jayasena, 2021. Sinhala Spell Correction - A Novel Benchmark with Neural Spell Correction.

 

2020

 

  • Rameela Azeez, & Ranathunga, S. (2020). Fine-Grained Named Entity Recognition for Sinhala. 978-1-7281-9975-7/20/. IEEE.
  • Lakmal, D., Ranatunga, S., Peramuna,S., and Herath,I., 2020 May. Word Embedding Evaluation for Sinhala, In proceeding of the 12th Language Resources and Evaluation Conference (pp-1874-1881).
  • Sarveswaran, K., Dias, G. and Butt, M., “ThamizhiMorph: A Morphological Parser for the Tamil Language”, Machine Translation Journal: Special Issue on Machine Translation for Low-Resource Languages, Springer. [Accepted]
  • Sarveswaran, K, Gihan Dias. 2020. ThamizhiUDp: A Dependency Parser for Tamil. In Proceedings of the 17th International Conference on Natural Language Processing (ICON-2020), IIT Patna, India.
  • Miriam Butt, Rajamathangi, S. and Sarveswaran, K. 2020. Mixed Categories in Tamil via Complex Categories. In Proceedings Proceedings of the LFG'20  Conference: On-Line, pages 68-88, Stanford, CA. CSLI Publications.
  • Rashmini Naranpanawa, Ravinga Perera, Thilakshi Fonseka & Uthayasanker Thayasivam (2020). Analyzing Subword Techniques to Improve English to Sinhala Neural Machine Translation. International Journal of Asian Language Processing, 30 (4).
  • L Senevirathne, P Demotte, B Karunanayake, U Munasinghe & S Ranathunga (2020). Sentiment Analysis for Sinhala Language using Deep Learning Techniques. 
  • P Demotte, L Senevirathne, B Karunanayake, U Munasinghe & S Ranathunga (2020). Sentiment Analysis of Sinhala News Comments using Sentence-State LSTM Networks. 
  • B Karunanayake, U Munasinghe, P Demotte, L Senevirathne & S Ranathunga (2020). Sinhala Sentiment Lexicon Generation using Word Similarity. 20th International Conference on Advances in ICT for Emerging Regions (ICTer), 77-82. 
  • MD Rajitha, LL Piyarathna, MMD Nayanajith & S Surangika, 2020. Sinhala and English Document Alignment using Statistical Machine Translation.

 

2019

 

  • Kengatharaiyer Sarveswaran and Miriam Butt. 2019. Computational Challenges with Tamil Complex Predicates. In Proceedings of the LFG19 Conference, Australian National University, pages 272-292, Stanford, CA. CSLI Publications.
  • Sarveswaran, K., Dias, G. and Butt, M., 2019, September. Using meta-morph rules to develop morphological analysers: A case study concerning Tamil. In Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing, pages 76-86, Dresden, Germany. Association for Computational Linguistics.
  • Uthayamoorthy, K., Kanthasamy, K., Senthaalan, T., Sarveswaran, K. and Dias, G., 2019, September. DDSpell-A Data Driven Spell Checker and Suggestion Generator for the Tamil Language. In 2019 19th International Conference on Advances in ICT for Emerging Regions (ICTer) (Vol. 250, pp. 1-6). IEEE.
  • Priyadarshani, H.S., Rajapaksha, M.D.W., Ranasinghe, M.M.S.P., Sarveswaran, K. and Dias, G.V., 2019, November. Statistical Machine Learning for Transliteration: Transliterating names between Sinhala, Tamil and English. In 2019 International Conference on Asian Language Processing (IALP) (pp. 244-249). IEEE.
  • Karunanayake, Y., Thayasivam, U., & Ranathunga, S. (2019, November). Sinhala and Tamil Speech Intent Identification From English Phoneme Based ASR. In 2019 International Conference on Asian Language Processing (IALP) (pp. 234-239). IEEE.
  • Liyanage, V., & Ranathunga, S. (2019). A Multi-language Platform for Generating Algebraic Mathematical Word Problems. arXiv preprint arXiv:1912.01110.
  • Bhattacharyya, P., Murthy, H., Ranathunga, S., & Munasinghe, R. (2019). Indic language computing. Communications of the ACM, 62(11), 70-75.
  • Karunanayake, Y., Thayasivam, U., & Ranathunga, S. (2019, July). Transfer Learning Based Free-Form Speech Command Classification for Low-Resource Languages. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (pp. 288-294).

 

2018

 

  • Sarveswaran, K., Dias, G. and Butt, M., 2018, December. ThamizhiFST: A Morphological Analyser and Generator for Tamil Verbs. In 2018 3rd International Conference on Information Technology Research (ICITR) (pp. 1-6). IEEE.
  • Ranathunga, S., Farhath, F., Thayasivam, U., Jayasena, S., & Dias, G. (2018, October). Si-Ta: Machine translation of Sinhala and Tamil official documents. In 2018 National Information Technology Conference (NITC) (pp. 1-6). IEEE.
  • Farhath, F., Ranathunga, S., Jayasena, S. and Dias, G., 2018, May. Integration of Bilingual Lists for Domain-Specific Statistical Machine Translation for Sinhala-Tamil. In 2018 Moratuwa Engineering Research Conference (MERCon) (pp. 538-543). IEEE.
  • Tennage, P., Herath, A., Thilakarathne, M., Sandaruwan, P. and Ranathunga, S., 2018, May. Transliteration and Byte Pair Encoding to Improve Tamil to Sinhala Neural Machine Translation. In 2018 Moratuwa Engineering Research Conference (MERCon) (pp. 390-395). IEEE.
  • Nanayakkara, P. and Ranathunga, S., 2018, May. Clustering Sinhala News Articles Using Corpus-Based Similarity Measures. In 2018 Moratuwa Engineering Research Conference (MERCon) (pp. 437-442). IEEE.
  • Fernando, S. and Ranathunga, S., 2018, May. Evaluation of Different Classifiers for Sinhala POS Tagging. In 2018 Moratuwa Engineering Research Conference (MERCon) (pp. 96-101). IEEE.
  • Thayaparan, M., Ranathunga, S. and Thayasivam, U., 2018. Graph Based Semi-Supervised Learning Approach for Tamil POS tagging. In LREC.
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  • Farhath, F., Theivendiram, P., Ranathunga, S., Jayasena, S. and Dias, G., 2018. Improving domain-specific SMT for low-resourced languages using data from different domains. In LREC.
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  • Tennage, P., Sandaruwan, P., Thilakarathne, M., Herath, A. and Ranathunga, S., 2018. Handling Rare Word Problem using Synthetic Training Data for Sinhala and Tamil Neural Machine Translation. In LREC.
 
 

2017

 

  • Tennage, P., Sandaruwan, P., Thilakarathne, M., Herath, A., Ranathunga, S., Jayasena, S. and Dias, G., 2017, December. Neural Machine Translation for Sinhala and Tamil languages. In Asian Language Processing (IALP), 2017 International Conference on (pp. 189-192). IEEE.
  • Selvarasa, A., Thirunavukkarasu, N., Rajendran, N., Yogalingam, C., Ranathunga, S. and Dias, G., 2017, May. Short Tamil sentence similarity calculation using knowledge-based and corpus-based similarity measures. In Engineering Research Conference (MERCon), 2017 Moratuwa (pp. 443-448). IEEE.
  • Mohamed, M.Z., Ihalapathirana, A., Hameed, R.A., Pathirennehelage, N., Ranathunga, S., Jayasena, S. and Dias, G., 2017, May. Automatic creation of a word aligned Sinhala-Tamil parallel corpus. In Engineering Research Conference (MERCon), 2017 Moratuwa (pp. 425-430). IEEE.
  • Kadupitiya, J.C.S., Ranathunga, S. and Dias, G., 2017, January. Sinhala Short Sentence Similarity Measures using Corpus-Based Simi-larity for Short Answer Grading. In 6th Workshop on South and Southeast Asian Natural Language Processing (pp. 44-53).

 

2016

 

  • Mokanarangan, T., Pranavan, T., Megala, U., Nilusija, N., Dias, G., Jayasena, S. and Ranathunga, S., 2016, June. Tamil morphological analyzer using support vector machines. In International Conference on Applications of Natural Language to Information Systems (pp. 15-23). Springer, Cham.
  • Manamini, S.A.P.M., Ahamed, A.F., Rajapakshe, R.A.E.C., Reemal, G.H.A., Jayasena, S., Dias, G.V. and Ranathunga, S., 2016, April. Ananya-a Named-Entity-Recognition (NER) system for Sinhala language. In Moratuwa Engineering Research Conference (MERCon), 2016 (pp. 30-35). IEEE.
  • Fernando, S., Ranathunga, S., Jayasena, S. and Dias, G., 2016. Comprehensive Part-Of-Speech Tag Set and SVM Based POS Tagger for Sinhala. In Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing (WSSANLP2016) (pp. 173-182).
  • Hameed, R.A., Pathirennehelage, N., Ihalapathirana, A., Mohamed, M.Z., Ranathunga, S., Jayasena, S., Dias, G. and Fernando, S., 2016. Automatic Creation of a Sentence Aligned Sinhala-Tamil Parallel Corpus. In Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing (WSSANLP2016) (pp. 124-132).
  • Palihakkara, S., Sahabandu, D., Shamsudeen, A., Bandara, C. and Ranathunga, S., 2015. Dialogue Act Recognition for Text-based Sinhala. In Proceedings of the 12th International Conference on Natural Language Processing (pp. 367-375).

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