Research Papers - Dept of Software Engineering

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/1022

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    Automated Spelling Checker And Grammatical Error Detection And Correction Model for Sinhala Language
    (IEEE, 2022-10-04) Goonawardena, M; Kulatunga, A; Wickramasinghe, R; Weerasekara, T; De Silva, H; Thelijjagoda, S
    Sinhala is a native language spoken by the Sinhalese people, the largest ethnic group in Sri Lanka. It is a morphologically rich language, which is a derivation of Pali and Sanskrit. The Sinhala language creates a diglossia situation, as the language’s written form differs from its spoken form. With this difference, the written form requires more complex rules to be followed when in use. Manually proofreading the content of Sinhala material takes up much time and labor, and it can be a tedious task. Hence, a system is necessary which can be used by different industries such as journalism and even students. At present, there are a handful of systems and research that have automated Sinhala spelling analysis and grammar analysis. In addition, the existing systems are mainly focused on either spelling analysis or grammar analysis. However, the proposed system will cover both aspects and improve upon existing work by either optimizing or re-building the process to provide accurate outputs. The proposed system consists of a suffix list built for verbs and subjects, which helps the system stand out from the current proposed solutions. This research intends to implement a service for spell checking and grammar correctness of formal context in Sinhala. The research follows a rule-based approach with some components adopting a hybrid approach. As per the literature survey, many papers were analyzed, related to different aspects of the proposed system and complete systems. The proposed system would be able to overcome most barriers faced by previous papers whilst it takes a fresh take on providing a solution.
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    Detection and Protection Related to Data Sharing Technologies
    (IEEE, 2018-10-28) Harshanath, S. M. Buddhika
    Digital transformation enables development and the testing of available applications for customer use, done in a smart way. It is also clear that the vast amounts of available data related to business cannot be easily handled in a day without the use of these mobile resources. Yet, privacy and security factors affect the release of more data for publishing or for exchanging purposes. Open data is ruled out due to insufficient available data for research as related to mobile devices where, there is a need for real data sets for testing purposes. The Internet of Things demands stronger security mechanisms to keep attacks at bay over buildings and automobiles. However, it must not be ignored that rules and regulations require considerable time to come into effect whereas, self-control imposed by a user made aware of the risks, takes little or no time at all.