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Wayakarana - Sinhala Active Voice Into Passive Voice Converter Using Rule Based Approach With Grammar Error Correction

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dc.contributor.author Ilukkumbura, Aishcharya
dc.date.accessioned 2024-04-05T10:08:27Z
dc.date.available 2024-04-05T10:08:27Z
dc.date.issued 2023
dc.identifier.citation Ilukkumbura, Aishcharya (2023) Wayakarana - Sinhala Active Voice Into Passive Voice Converter Using Rule Based Approach With Grammar Error Correction. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2019757
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2000
dc.description.abstract "In the world, more than 16 million people speak Sinhala, which is the official language of Sri Lanka. It is a morphologically complex language that evolved from Pali and Sanskrit. The Sinhala language is one of the few that has diglossia, where the spoken and written forms are different. Because it is governed by numerous grammar rules, Sinhala's written form is quite difficult. There are just a few implementations of Sinhala Grammar due to this intricacy and the limited availability of computerized resources. Active to passive conversion in Sinhala is a crucial step in the processing of natural language since it shifts the subject and object of a phrase. However, it has been challenging to create an accurate and useful tool for Sinhala active to passive conversion due to a paucity of resources and study in this field. Wayakarana, the proposed system, is capable of converting sentences written in the active voice in Sinhala into the passive voice using a rule-based approach, as that domain has received the most attention. The system develops as a learning application for students who are learning and practicing Sinhala active voice into passive voice related grammar rules, which are crucial to learn for the GCE O/L examination. Also, the proposed system is able to evaluate the grammatical correctness of the Sinhala sentences using a NMT model." en_US
dc.language.iso en en_US
dc.subject Natural Language Processing en_US
dc.subject Machine Learning en_US
dc.subject Rule Based Approach en_US
dc.title Wayakarana - Sinhala Active Voice Into Passive Voice Converter Using Rule Based Approach With Grammar Error Correction en_US
dc.type Thesis en_US


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