• Detecting and correcting real-word errors in Tamil sentences 

  Sakuntharaj, R.; Mahesan, S. (Faculty of Science, University of Ruhuna, 2019-12-01)

  Spell checkers concern two types of errors namely non-word errors and real-word errors. Non-word errors can be of two categories: First one is that the word itself is invalid; the other is that the word is valid but not ...
• Empirical study of the epidemic and optimized link state routing protocols (OLSR) for the scalable wireless ad-hoc network simulations (SWANS) 

  Sakuntharaj, R. (South Eastern University of Sri Lanka, 2014-08-01)

  A Mobile Ad-Hoc Networks (MANETs) is a network architecture that can be rapidly, deployed without relying on preexisting fixed network infrastructure. The nodes in a MANET scan dynamically join and leave the network, ...
• A novel hybrid approach to detect and correct spelling in Tamil text 

  Sakuntharaj, R.; Mahesan, S. (IEEE, 2016-12-16)

  A spell checker is a tool to check the spelling of words in a document, validate them and in case of finding error in spelling, list out the possible words as suggestions. There are several researches available on spell ...
• Use of a novel hash-table for speeding-up suggestions for misspelt Tamil words 

  Sakuntharaj, R.; Mahesan, S. (IEEE, 2017-12-15)

  Spell checker is a tool that finds and corrects misspelt words in a text document. Spelling error detection and correction techniques are widely used by text editing systems, machine translation systems, optical character ...
• A refined POS tag sequence finder for Tamil sentences 

  Sakuntharaj, R.; Mahesan, S. (IEEE, 2018-12-21)

  Part-of-Speech (POS) tagging is the process of labelling syntactic categories to each word in a sentence. Identifying POS tags for words is the fundamental task for various natural language processing applications such as ...
• Detecting and correcting grammatical mistakes due to subject-verb inconformity and conflicts in tense aspects in Tamil sentences 

  Sakuntharaj, R.; Mahesan, S. (University of Ruhuna, 2019-01-30)

  A grammar checker checks each sentence in a text for conformity to grammar rules. If conflicts are detected, it suggests corrections. This paper proposes an approach to detecting and correcting Tamil grammatical errors ...
• Towards Robust Ubicomp: A Comprehensive Review on the Grand Challenges of Ubiquitous Computing 

  Boralessa, G.W.Y.S.; Samarasinghe, A.; Ahamed, T.N.; Shafana, A.R.F. (Faculty of Technology, SEUSL., 2021-07-27)

  Ubiquitous Computing is a concept that consists of qualities that enable people to move away from traditional desktop computing systems and toward computer systems, where everything is available and accessible everywhere ...
• Overview of the HASOC-DravidianCodeMix Shared Task on Offensive Language Detection in Tamil and Malayalam. 

  Chakravarthi, B.R.; Kumaresan, P.K.; Sakuntharaj, R.; Madasamy, A.K.; Thavareesan, S.; Premjith, B.; Sreelakshmi, K.; Navaneethakrishnan, S.C.; McCrae, J.P.; Mandl, T. (CEUR Workshop Proceedings, 2021-12-17)

  Wepresent the results of HASOC-Dravidian-CodeMix shared task1 held at FIRE 2021, a track on offensive language identification for Dravidian languages in Code-Mixed Text in this paper. This paper will detail the task, its ...
• IIITT at CASE 2021 task 1: Leveraging pretrained language models for multilingual protest detection 

  Kalyan, P.; Reddy, D.; Hande, A.; Priyadharshini, R.; Sakuntharaj, R.; Chakravarthi, B.R. (Association for Computational Linguistics, 2021-08-05)

  In a world abounding in constant protests resulting from events like a global pandemic, climate change, religious or political conflicts, there has always been a need to detect events/protests before getting amplified by ...
• Missing word detection and correction based on context of Tamil sentences using n-grams 

  Sakuntharaj, R.; Mahesan, S. (IEEE, 2021-08-11)

  The main function of a spell checker is to detect and correct erroneous words, missing words and grammatical mistakes in text documents. Erroneous words and grammatical mistakes can occur in sentences due to various reasons. ...
• Part of speech tagging for Tamil language using deep learning 

  Visuwalingam, H.; Sakuntharaj, R.; Ragel, R.G. (IEEE, 2021-12-09)

  Part of Speech (POS) tagging is the process of marking up a word in a sentence to a corresponding part of speech. POS tagging is considered one of the pre-processing steps in Natural Language Processing (NLP) applications ...
• Findings of shared task on offensive language identification in Tamil and Malayalam 

  Kumaresan, P.K.; Premjith; Sakuntharaj, R.; Thavareesan, S.; Navaneethakrishnan, S.; Madasamy, A.K.; Chakravarthi, B.R.; McCrae, J.P. (ACM, 2021-04-20)

  We present the results of HASOC-Dravidian-CodeMix shared task1 held at FIRE 2021, a track on offensive language identification for Dravidian languages in Code-Mixed Text in this paper. This paper will detail the task, its ...
• Cross-device Portability of Machine Learning Models in Electromagnetic Side-Channel Analysis for Forensics 

  Lojenaa, N.; Le-Khac, N.S.; Oren, Y.; De Zoysa, K.; Sayakkara, A.P. (Journal of Universal Computer Science, 2024-09-28)

  The possession of smart devices has ingrained itself into daily life. Therefore, smart devices, such as IoT and smartphones, are crucial sources of evidence in instances where criminal activity occurs. Due to the challenges ...
• Impact of Hyper-parameter Optimization in Flower Classification through HOG features using Support Vector Machines 

  Saliny, N.; Rukshani, P. (ICSUSL, 2023-08-12)

  The flower classification is crucial. Pharmaceutics, cosmetics, Ayurvedic medicine, horticulture, botany, obtaining patents, and gardening are some of the areas which benefit greatly from the study of flower classification ...
• Suggestion Generation for Erroneous Words in Tamil Documents Using N-gram Technique 

  Sakuntharaj, R. (Asian Journal of Research in Computer Science, 2022-05-05)

  A spell checker is a tool that finds and corrects erroneous words and grammatical mistakes in a text document. Spelling error detection and correction techniques are widely used by text editing systems, search engines, ...
• A Sequential DNN for Sentiment Analysis of Dravidian Code-Mixed Language Comments on YouTube. 

  Sambath Kumar, L.; Navaneethakrishnan, S.C.; Sakuntharaj, R.; Samuel, A.A. (Forum for Information Retrieval Evaluation, 2022-12-09)

  A method for determining if a block of text is positive, neutral, or negative is sentiment analysis. As code-mixed material in many native languages is becoming increasingly widespread, there is also an increasing need for ...
• Extraction of Sentiments in Tamil Sentences Using Deep Learning 

  Loganathan, H.; Sakuntharaj, R. (nstitute of Electrical and Electronics Engineers, 2022-09-01)

  Sentiment analysis is the process of extracting information from the given text in which the text consists of various sensations such as happiness, perturbation, pride, worry, and so on about various functions, human beings, ...
• Detecting and Correcting Contextual Mistakes in Sentences Using Part of Speech Tags 

  Sakuntharaj, R. (Asian Journal of Research in Computer Science, 2023-03-04)

  A grammar checker is a tool to check each sentence in a text to see whether it conforms to the grammar. In case it finds a structure that conflicts with the conformity to the grammar, it would give suggestions for alternatives. ...
• Overview of Second Shared Task on Sentiment Analysis in Code-mixed Tamil and Tulu 

  Sambath Kumar, L.; Hegde, A.; Chakravarthi, B.R.; Shashirekha, H.; Natarajan, R.; Thavareesan, S.; Sakuntharaj, R.; Durairaj, T.; Kumaresan, P.K.; Rajkumar, C. (Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, 2024-03-22)

  Sentiment Analysis (SA) in Dravidian codemixed text is a hot research area right now. In this regard, the “Second Shared Task on SA in Code-mixed Tamil and Tulu” at Dravidian- LangTech (EACL-2024) is organized. Two tasks ...
• Deep Learning Model for Tamil Part-of-Speech Tagging 

  Visuwalingam, H.; Sakuntharaj, R.; Alawatugoda, J.; Ragel, R. (Oxford University Press on behalf of The British Computer Society, 2024-03-15)

  Part-of-Speech (POS) tagging is one of the popular Natural Language Processing (NLP) tasks. It is also considered to be a preliminary task for other NLP applications such as speech recognition, machine translation, and ...

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